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Gartner Marketing Survey Finds 50% of Consumers Prefer Brands That Avoid Using GenAI in Consumer-Facing Content

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Skyword Introduces Category Authority IndexTM to Help Marketers Measure Authority in AI Search

As Consumers Increasingly Question What’s “Real,” Marketers Should Make AI Transparent, Optional and Clearly Beneficial

Half of U.S. consumers (50%) say they would prefer to give their business to brands that do not use GenAI, according to a survey by Gartner, Inc., a business and technology insights company. In this survey, “brands that use GenAI” refers to brands incorporating GenAI in consumer-facing messages, advertising and content.

The finding suggests that growing consumer use of GenAI does not automatically translate into comfort with AI-powered brand experiences.

A Gartner survey of 1,539 U.S. consumers conducted in October 2025 revealed that consumer skepticism is also intensifying more broadly, creating a high-risk environment for synthetic or unsubstantiated brand claims. Sixty-one percent (61%) of consumers say they frequently question whether the information they use to make everyday decisions is reliable, and 68% frequently wonder whether the content and information they see is real.

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“Marketers should treat GenAI as a trust decision as much as a technology decision,” said Emily Weiss, Senior Principal Analyst in the Gartner Marketing practice. “Consumers are questioning what’s real and making efforts to verify more of what they see. The brands that win will be the ones that use AI in ways customers can immediately recognize as helpful, while being transparent about when AI is used, what it’s doing, and giving customers a clear choice to opt out.”

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Consumers’ heightened skepticism is also changing how they assess truth. By the end of 2025, only 27% of consumers said they determine whether information is true using intuition, reflecting a growing shift toward independent checking, and verification behaviors.

“To reduce risk and build trust, marketers should make GenAI optional rather than mandatory, start with clearly assistive use cases that deliver immediate customer value, and label AI-driven experiences, so people understand when and how AI is being used,” advised Weiss. “Marketers should also make verification easy by backing claims with clear proof points and governance, because consumers are increasingly skeptical about what they see and hear. When AI is transparent, helpful, and in the customer’s control, it can strengthen the experience instead of weakening trust.”

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Dialpad Names Brett Reed as Chief Financial Officer to Lead Next Era of Global Enterprise Scale

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Dialpad Names Brett Reed as Chief Financial Officer to Lead Next Era of Global Enterprise Scale

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Dialpad, the AI-first communications and agentic platform defining the next era of business conversations and actions, announced the appointment of its interim finance leader, Brett Reed, as Chief Financial Officer. The move formalizes Dialpad’s finance leadership as the company scales to meet growing demand from the world’s largest enterprise organizations.

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“The enterprise market is moving past the experimental phase of AI and into a phase of rigorous execution.” Craig Walker, CEO and Co-founder of Dialpad

“The enterprise market is moving past the experimental phase of AI and into a phase of rigorous execution,” said Craig Walker, CEO and Co-founder of Dialpad. “Brett is a high-impact leader who has a strong reputation with the investment community and knows exactly what it takes to scale a world-class organization. By naming him CFO, we’re ensuring Dialpad has the financial discipline and the ‘A-team’ in place to get after the massive opportunity in Agentic AI for our customers.”

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With more than 20 years of financial management experience, including Salesforce and Vlocity, Reed brings the strategic rigor and pattern recognition required for Dialpad’s continued expansion into the public-scale enterprise market. His leadership ensures that as Dialpad’s customers transition to autonomous AI solutions, they are supported by a partner built for long-term scale and enterprise-grade performance.

“Dialpad has built the most complete and AI-native platform the way business actually works – and with our leading agentic capabilities, we are defining how businesses will work in the future,” said Brett Reed, CFO. “I am thrilled to take on this role as we streamline our operations to deliver the performance, security, and measurable value that our enterprise customers demand.”

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Adobe and NVIDIA Announce Strategic Partnership to Deliver the Next Generation of Firefly Models and Creative, Marketing and Agentic Workflows

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Thales Announces Strategic Partnership with Google Cloud to Launch a New Sovereign Cloud in Germany

Adobe, Inc.

  • Adobe will use NVIDIA’s advanced computing technology and libraries to deliver the next generation of foundational Adobe Firefly models that offer best-in-class precision and control for creativity and marketing pipelines.

  • Adobe and NVIDIA will collaborate to deliver breakthrough agentic creative and marketing workflows for content, campaign and production speed.

  • Adobe will build a cloud-native, brand identity-preserving 3D digital twin solution purpose-built for marketing, built on NVIDIA Omniverse libraries.

  • Adobe Firefly Foundry to integrate NVIDIA’s advanced computing and AI technologies to power enterprise‑grade custom AI that delivers commercially safe content at scale.

Adobe and NVIDIA announced a strategic partnership to accelerate AI-powered creation, production and personalization, including delivering the next generation of foundational Adobe Firefly models and agentic workflows.

The partnership will bring together Adobe’s creative and marketing workflows, models and technology and NVIDIA’s open models, libraries, research and accelerated computing, as demand for content continues to surge and generative AI reshapes creative and marketing workflows.

Through this partnership, Adobe and NVIDIA will advance the creative industry by developing next-generation Firefly models that will deliver best-in-class creative precision and control for creativity and marketing pipelines. The models will be built on NVIDIA’s advanced computing technology and tap into NVIDIA CUDA-X™, NVIDIA NeMo™ libraries, NVIDIA Cosmos™ open models and NVIDIA Agent Toolkit software to enable the interactive, high-quality creation customers expect.

“Content creation is exploding, and our partnership with NVIDIA is grounded in a shared vision to reinvent creative and marketing workflows with the power of AI,” said Shantanu Narayen, chair and CEO, Adobe. “As AI transforms how marketing teams and media and entertainment studios work, Adobe and NVIDIA will bring together our Firefly models, CUDA libraries into our applications, 3D digital twins for marketing, and Agent Toolkit and Nemotron to our agentic frameworks to deliver high-quality, controllable and enterprise-grade AI workflows of the future.”

“AI is giving every industry the ability to redefine what’s possible,” said Jensen Huang, founder and CEO, NVIDIA. “For more than 20 years, NVIDIA and Adobe have partnered to push the boundaries of design and creativity. Today, we are taking that partnership to a new level — uniting our research and engineering teams to accelerate Adobe’s beloved applications with NVIDIA CUDA and jointly build state-of-the-art world foundation models that reimagine creativity and transform customer experiences.”

Adobe and NVIDIA will collaborate to deliver breakthrough agentic creative and marketing workflows for content, campaign and production speed. Adobe will explore NVIDIA Agent Toolkit software and NVIDIA Nemotron™ open models to power these agentic workflows.

Adobe and NVIDIA will also work together on NVIDIA NemoClaw — an open source stack that simplifies running OpenClaw always-on assistants more safely, with a single command. As part of the NVIDIA Agent Toolkit, it installs the NVIDIA OpenShell runtime — a secure environment for running autonomous agents and open source models like NVIDIA Nemotron.

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In partnership with NVIDIA, Adobe is launching a cloud-native, brand identity-preserving 3D digital twin solution (public beta). The solution creates virtual replicas of physical products that act as permanent digital identities for marketing and commerce experiences. Integrating NVIDIA Omniverse™ libraries into Adobe technologies, the collaboration expands support for 3D digital twin workflows built on OpenUSD for marketing content automation.

With seamless interoperability across tools, brands can generate everything from consistent pack shots and lifestyle imagery to configurable 3D product experiences and immersive virtual try-ons.

Adobe will also harness NVIDIA AI infrastructure, AI libraries, services and models to accelerate and optimize every layer of its AI-powered tools across creativity, productivity and customer experience orchestration — including Adobe Acrobat, Photoshop, Premiere Pro, Frame.io, Adobe Firefly Foundry, Adobe GenStudio and Adobe Experience Platform.

With Adobe Firefly Foundry, Firefly’s commercially safe AI models are deeply tuned with a company or IP owner’s unique, proprietary brand or franchise content, which is critical for media and entertainment studios. Adobe Firefly Foundry will integrate NVIDIA’s advanced computing and AI technologies to power enterprise‑grade custom AI that delivers commercially safe content at scale.

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Key areas of the strategic partnership include:

  • Deliver the next generation of Adobe Firefly models: Adobe will use NVIDIA’s advanced computing and AI technologies to deliver the next generation of Adobe Firefly models designed for creativity, productivity and marketing. The models will be built on NVIDIA’s advanced computing technology, and NVIDIA CUDA-X® and NeMo libraries.
  • Adobe agentic AI innovation: Adobe will explore NVIDIA OpenShell™ and Nemotron — part of NVIDIA Agent Toolkit — as foundations for hybrid, long-running agentic loops in a personalized, secure and cost-efficient environment. Adobe will also evaluate Agent Toolkit and Nemotron for large-scale agentic workflows powered by Adobe Experience Platform. NVIDIA will provide engineering expertise, early access to software and targeted go-to-market support.
  • Transform marketing content creation with high-fidelity, cloud-native 3D digital twins: By unifying NVIDIA accelerated computing, NVIDIA Omniverse libraries for OpenUSD universal data interchange, NVIDIA RTX™ rendering and NVIDIA Omniverse Kit App Streaming for real-time cloud streaming with Adobe’s generative AI and workflow platforms, Adobe’s solution will produce cloud-native, brand-identity-preserving, 3D digital twins for marketing content automation.
  • Unlock deep-tuned creative possibilities for enterprises at scale: Using NVIDIA accelerated computing, CUDA-X acceleration libraries and open models, Adobe will deliver faster, higher-performing and more flexible proprietary and IP-protected Firefly Foundry models across image, video, audio, vector and 3D to brands and franchises.
  • Advance business productivity with AI document intelligence: Adobe Acrobat is the productivity and collaboration platform to help customers get their best work done. Adobe will bring NVIDIA Nemotron capabilities to Adobe Acrobat to further elevate the quality of AI output and increase productivity for business professionals, consumers and enterprises.
  • Accelerate creative workflows in the cloud: Frame.io is Adobe’s single platform to centralize content, people and feedback across the creative process to accelerate quality output. Adobe will accelerate Frame.io’s scalable cloud content management and workflows, media decoding and intelligence with NVIDIA CUDA® — powering fast semantic search, generative creation and insights across image, video, 3D and other creative media types at scale.
  • Develop joint go-to-market strategy: Adobe and NVIDIA will develop a joint go-to-market strategy that drives access and adoption of these AI innovations by enterprise customers worldwide with Adobe Firefly Foundry.

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Starburst Announces Day-One Support for Delivering Unmatched AI Inference and Analytics Performance with NVIDIA Vera CPU

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Starburst Announces Day-One Support for Delivering Unmatched AI Inference and Analytics Performance with NVIDIA Vera CPU

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Starburst becomes the first open hybrid lakehouse platform optimized for NVIDIA’s new inference compute platform, enabling customers to run real-time AI and analytics on governed, federated data at unprecedented speed

Starburst, a leader in data and AI platforms, announced optimizations for NVIDIA Vera CPU, unveiled at NVIDIA GTC. Starburst customers will gain access to breakthrough query performance, lower-latency AI inference, and significant cost efficiencies from day one of Vera availability later in 2026.

Starburst’s Trino-powered platform is uniquely positioned to capitalize on Vera, NVIDIA’s next-generation data center CPU designed for fast agentic reasoning and data analytics. While competing platforms require data to be centralized into proprietary warehouses before it can power AI, Starburst delivers hybrid, federated, and governed data access at inference speed directly where the data lives, across lakes, warehouses, and operational systems, without movement or duplication.

As enterprise demand shifts from model training to production inference powering agentic AI, retrieval-augmented generation (RAG), and real-time applications, NVIDIA Vera addresses the performance and cost constraints that have limited AI adoption at scale.

“The future of enterprise AI depends on fast access to governed data,” said Justin Borgman, Founder and CEO of Starburst. “With NVIDIA Vera, Starburst aims to bring real-time analytics and inference directly to where that data lives.”

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Benefits for Starburst Customers

Early benchmark testing shows Starburst on NVIDIA Vera CPU delivering materially faster query performance and significantly higher CPU efficiency than comparable traditional x86 CPU–based configurations, while maintaining predictable performance for mixed BI and AI inference workloads. For customers, this translates into four core advantages:

  • Faster time to AI value. Live, governed enterprise data feeds inference workloads, RAG pipelines, and agentic AI in real time, eliminating the ETL bottleneck that delays AI projects.
  • Lower total cost of ownership. Vera’s efficient architecture, paired with Starburst’s federated model, which avoids costly data duplication, compounds savings across compute and storage.
  • Predictable performance at scale. Deterministic throughput for concurrent analytics and AI workloads, even across complex, multi-source datasets.
  • Built-in enterprise governance. Fine-grained access controls and policy enforcement travel with every query, ensuring AI applications consume only authorized, compliant data as organizations scale into regulated environments.

“The future of enterprise AI relies on securing instant insights from data that is often distributed across complex hybrid environments,” said Dion Harris, senior director, HPC, Cloud and AI Infrastructure, NVIDIA. “Our work with Starburst, optimizing their Trino-powered platform for NVIDIA Vera CPU, will deliver a foundational solution for real-time, federated data processing.”

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“With Trino running on NVIDIA Vera CPU, we’re unlocking a new level of performance and efficiency for federated data access, enabling customers to run analytics and query data directly where it lives – the result is faster insights, lower infrastructure overhead, and a platform built to scale with growing enterprise needs,“ said Jitender Aswani SVP of Engineering, Starburst.

Competitive Differentiation

Starburst creates a position that neither proprietary cloud warehouses nor legacy platforms can replicate. Closed architectures require enterprises to copy data into a single system before AI can use it, adding cost, latency, and governance gaps. Legacy Hadoop and Spark ecosystems lack a native inference path entirely. Starburst eliminates both limitations with an open, hybrid, and federated architecture built on Trino, now optimized for the most advanced inference compute available.

Ecosystem Integration

Starburst’s optimization extends across validated enterprise architectures, including the Dell AI Factory with NVIDIA and the Dell AI Data Platform, where Starburst serves as the analytics, data access, and governance engine. Customers deploying Vera within these configurations gain a fully integrated, inference-ready stack from infrastructure to insight.

Building on GPU-Accelerated Trino

In addition to support for Vera CPU, Starburst is developing GPU acceleration for Trino using NVIDIA CUDA, and NVIDIA cuDF for structured data. This future capability will bring large-scale parallelism and accelerated columnar processing to federated analytics and AI inference, powering the next generation of retrieval-augmented and agentic AI workloads.

The initiative reflects Starburst’s vision to unify compute across CPUs and GPUs within a single open engine–enabling enterprises to harness governed, high-performance data processing at the speed of innovation.

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Netris Announces Integration and Support for NVIDIA DSX Air

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Integration brings Netris network automation and multi-tenancy into NVIDIA DSX Air, enabling customers and partners to develop, integrate, and validate the full ecosystem ahead of deployment

Netris, the leading provider of network automation and multi-tenancy for AI infrastructure, announced integration and support for NVIDIA DSX Air, the infrastructure simulation platform announced by NVIDIA at GTC 2026.

“Netris integration with NVIDIA DSX Air provides a powerful environment to architect and validate the entire networking stack in parallel with hardware delivery, drastically accelerating time to value.” – Amit Katz, VP of Networking at NVIDIA

NVIDIA DSX Air enables teams to simulate large-scale AI infrastructure at full fidelity, including network orchestration, automation, and multi-tenancy; Kubernetes orchestration; storage, security, observability, and other ecosystem partner solutions. The platform runs at scale, allowing teams to model complex, multi-tenant AI environments that mirror real-world deployments.

Netris deploys on NVIDIA DSX Air as the network orchestration, automation, and multi-tenancy layer across the entire AI networking stack: Ethernet (including NVIDIA Spectrum-X Ethernet), NVL72, NVIDIA BlueField DPUs, and Virtual and Edge Networking. Netris enables operators to enforce hard multi-tenancy with hardware-level isolation, provision tenants with instant network isolation, and dynamically reallocate GPU capacity across tenants. All of this can now be developed, tested, and validated before hardware is delivered.

The integration prepares teams across the full deployment lifecycle from ISV integration and customer evaluation, through pre-deployment validation (day 0), to accelerated go-live (day 1) and ongoing change management (day 2), accelerating time to monetization and reducing deployment risk.

Why Simulation Matters

AI is driving the largest infrastructure deployment the world has ever seen. Thousands of organizations are designing, ordering, and commissioning GPU clusters simultaneously. These deployments require multiple technology components, such as network orchestration, automation, multi-tenancy, Kubernetes orchestration, storage, security, observability, and other ecosystem partner solutions that all need to be integrated with NVIDIA hardware and software and with each other.

The traditional technology rollout lifecycle of demo, trial, validation, and pre-deployment can no longer depend on physical labs. Labs are too limited in scale and typically booked, with long queues of AI operators waiting. At the same time, operators who have already ordered hardware and are waiting for delivery cannot spend precious time learning on their own equipment. They need to evaluate and validate the technology before the hardware arrives, so once the expensive hardware is there, it goes live immediately.

Netris in the AI Infrastructure Stack

Modern AI infrastructure is not a single network. It consists of multiple independent networking fabrics operating simultaneously: North-South Ethernet fabrics with and without DPUs, East-West back-end fabrics such as NVIDIA Spectrum-X Ethernet for GPU-to-GPU communication, and rack-scale NVLink interconnect domains. Each uses distinct technologies and control mechanisms, yet they must be orchestrated, validated, and operated as a cohesive system. Netris provides this orchestration.

Netris is a critical component of this stack, providing network automation, abstraction, and multi-tenancy across all of these independent traffic fabrics. Netris deploys as a complete system inside DSX Air. The same Netris controller that runs inside DSX Air moves directly into the live environment at deployment. If discrepancies exist between the digital twin and physical hardware — wrong cabling, topology mismatches — Netris immediately detects them and guides engineers on the ground to fix the issues.

Netris is the leading provider of network automation and multi-tenancy for AI infrastructure. The Netris NAAM (Network Automation, Abstraction, and Multi-Tenancy) platform is purpose-built for GPU clouds and AI Factories, trusted by high-growth neoclouds, sovereign AI cloud providers, and leading system integrators worldwide. Netris captured 12 percent of neoclouds worldwide in the last 10 months, with every deployment live across 20+ data centers.

How Customers and Partners Use DSX Air Across the Deployment Lifecycle

ISV Integration. AI deployments require multiple technology components that need integrations with NVIDIA and with each other. NVIDIA and Netris use DSX Air with ecosystem partners to develop and validate these integrations ahead of customer deployments.

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Evaluation and Proof of Concept. AI operators evaluating solutions want to see demos, deep-dive into configurations, and kick the tires. Assembling physical hardware and tens of thousands of cables for an evaluation is not practical. DSX Air simulates realistic environments in minutes. ISVs and evaluating customer engineers collaborate inside DSX Sim instead of waiting months for physical lab availability.

Training Before Hardware Delivery. Once an operator signs a deal for hardware and software, they use DSX Air to stand up a simulation of their upcoming AI infrastructure running the exact anticipated software stack. Teams learn the system, ask questions to vendors ahead of time, and discover issues before hardware arrives, so once the mission-critical hardware is delivered, they go live and start making money sooner.

Pre-Deployment (Day 0). Complex AI infrastructure is deployed by skilled implementation teams that work together. These teams collaborate and validate anticipated configurations before hardware delivery. An exact, detailed digital twin is deployed in DSX Air, and implementation teams collaborate on a realistic simulation to identify issues in advance. Once hardware is delivered and powered on, the Netris controller moves from DSX Air into the live environment.

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Go-Live (Day 1). Equipment powers on and teams execute with pre-validated configurations. Bring-up cycles compress because the full ecosystem has already been exercised together in simulation.

Ongoing Operations (Day 2). AI operators are live and making money. However, there are always day-2 changes — software upgrades, topology extensions, tenant policy changes, new ideas to experiment with. Instead of testing on live hardware, which should be running paid customer workloads, operators use a digital twin of their infrastructure in DSX Air to rehearse changes before applying them to the live environment.

“When mission-critical GPU hardware arrives, it should go live ASAP and not sit idle while engineers figure things out,” said Alex Saroyan, CEO of Netris. “DSX Air allows our customers and partners to develop, integrate, and validate the complete ecosystem before systems are on site. With Netris, operators can instantly provision tenants, reallocate GPU capacity, and scale their business from day one, with confidence that the entire stack works in concert.”

“The race to build AI factories requires a shift from manual configuration to a fully simulated, automated lifecycle that ensures the network is ready the moment GPUs are powered on,” said Amit Katz, VP of Networking at NVIDIA. “Netris integration with NVIDIA DSX Air provides a powerful environment to architect and validate the entire networking stack in parallel with hardware delivery, drastically accelerating time to value.”

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Aurora Mobile Establishes Japanese Subsidiary to Redefine AI-Powered Customer Interaction and Security

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Aurora Mobile Establishes Japanese Subsidiary to Redefine AI-Powered Customer Interaction and Security

Aurora Mobile Limited, a leading provider of customer engagement and marketing technology services, announced the official establishment of its Japanese subsidiary, Aurora Mobile Japan K.K.

This strategic expansion brings the Company’s flagship platform, EngageLab, directly to the Japanese market. By establishing a local presence, Aurora Mobile Japan K.K. is poised to empower enterprises with a Full-Journey AI Engagement ecosystem that seamlessly integrates Omnichannel Interaction, Customer Service AI Agent, and Frictionless Security.

Optimizing Global Operations with Unified Intelligence
As Japanese enterprises continue to strengthen their global influence, the need for efficiency and ROI in customer lifecycle management has never been higher. Aurora Mobile Japan K.K. enters the market to solve the fragmentation of customer data and channels, offering a unified solution that drives exponential growth.

“Japan is a market that demands precision, stability, and innovation. We are honored to bring our globally proven infrastructure here,” said Mr. Weidong Luo, Chairman and Chief Executive Officer of Aurora Mobile. “With Aurora Mobile Japan K.K., we are delivering a clear advantage: the ability to connect smarter and convert faster. Whether it is through invisible security verification or AI agents that slash operational costs, we provide the digital infrastructure that Japanese businesses need to maximize their global impact.”

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Three Pillars of the Aurora Advantage
Aurora Mobile Japan K.K. introduces a modular solution suite designed to optimize customer experience with maximum ROI:
1. Smart Omnichannel Interaction & Marketing Automation
Moving beyond simple delivery, EngageLab transforms passive communication into conversational selling. The platform seamlessly integrates AppPush, WebPush, Email, SMS, and WhatsApp into a unified system capable of delivering billions of notifications in milliseconds. Specifically, our proprietary channel optimization technology for AppPush achieves a 1.4X higher delivery success rate compared to industry standards.

  • Visual Journey Builder: Marketers can use drag-and-drop tools to reach customers through optimal channels at minimal cost.
  • Smart Algorithms: Features like peak-time delivery for Email and proprietary channel optimization ensure that every interaction counts.

2. Advanced AI Customer Support
Addressing the critical labor shortage and efficiency challenges in Japan, the Company introduces LiveDesk, a solution that breaks free from traditional seat limits.

  • AI-Human Collaboration: Advanced AI Agents independently handle up to 90% of customer inquiries, slashing operational costs by 70% while elevating service quality. The system enables seamless handoff between AI and human agents, ensuring precise and effective resolution of complex customer inquiries.

3. Frictionless Security & Identity
Security is the foundation of digital trust. Aurora Mobile Japan K.K. offers a suite of AI-powered protection tools that users do not hate:

  • Effortless Verification: The platform features Silent Auth, which enables instant, zero-friction user validation. This technology streamlines the user access process, granting genuine users instant, uninterrupted access to services.
  • Intelligent Defense: This is complemented by OTP services with a 99% success rate and AI-Powered CAPTCHA, which instantly blocks bots while allowing real users to sail through with minimum friction.

Local Team & Office
Aurora Mobile Japan K.K. is fully operational with a dedicated local team to provide tailored consulting and technical support to Japanese clients.

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ZoomInfo Leads in Evaluation of B2B Marketing and Sales Data Providers for B2B

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Multiply raises $9.5m for self-learning ads, reports 300%-500% pipeline increase for B2B companies

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Key Findings:

  • Highest Current Offering Category Score & Highest Scores in 20 of 27 Criteria

  • ZoomInfo is a top option for organizations seeking a full ecosystem provider

  • GTM knowledge graph for data discovery and agentic AI use cases noteworthy

ZoomInfo , the Go-To-Market (GTM) Intelligence Platform, announced it has been named a Leader in The Forrester Wave™: Marketing and Sales Data Providers for B2B, Q1 2026. Forrester’s report noted that ZoomInfo is “setting a technology standard for data collection and identity resolution” and that “the ongoing development of a GTM knowledge graph to support data discovery and agentic AI use cases is noteworthy…” The report’s vendor profile for ZoomInfo concluded: “ZoomInfo is a top option for organizations seeking a full ecosystem provider across sales and marketing.”

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“Forrester’s report has confirmed what our customers experience every day: we are the data backbone that modern GTM runs on,” said Henry Schuck, CEO and Founder of ZoomInfo.

ZoomInfo received:

  • Highest current offering category score among all evaluated vendors.
  • Highest possible scores in 20 of 27 criteria including data foundation, platform and ecosystem.
  • Highest possible scores across 4 criteria evaluated within the strategy category: Vision, Innovation, Partner Ecosystem, and Supporting Services and Offerings.

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According to The Forrester Wave™: Marketing and Sales Data Providers for B2B, Q1 2026, ZoomInfo “has entrenched itself as the default data provider for B2B sales … with broader ambitions spanning all go-to-market functions…” The report further states that “ZoomInfo’s vision and innovation stand out, highlighted by first-to-market genAI capabilities for data capture and insight generation and backed by the largest R&D budget among those willing to disclose that investment.” ZoomInfo also sees its strategy category score as a reflection of the company’s ongoing investment in its GTM knowledge graph — an infrastructure layer designed to support data discovery and agentic AI use cases

“In an era where AI promises everything but delivers only as much as the data beneath it, ZoomInfo clearly set itself far apart from the competition; to us, Forrester’s report has confirmed what our customers experience every day: we are the data backbone that modern GTM runs on,” said Henry Schuck, CEO and Founder of ZoomInfo. “We spend nearly $200 million a year on innovation and our data foundation. We are not just keeping pace with where GTM is headed, we believe this recognition confirms that we are setting the standard for it.”

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digna 2026.01 Expands Enterprise Data Validation Inside the Database

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New release adds multi-column uniqueness and referential integrity checks, enabling enterprise data validation directly inside source databases.

digna has announced Release 2026.01 of its data quality and observability platform, introducing expanded data validation capabilities designed to operate directly within enterprise databases without requiring data extraction or replication.

Our approach moves the validation logic to where the data already lives. This allows teams to enforce sophisticated data quality rules without introducing additional data movement.”

— Marcin Chudeusz

The new release introduces advanced validation features including multi-column uniqueness checks and referential integrity validation, enabling organizations to enforce complex structural and relational data quality rules directly where data is stored.

As enterprise data environments continue to scale across warehouses, lakes, and operational systems, organizations increasingly face challenges ensuring that data remains consistent and trustworthy without adding additional processing layers or moving large volumes of data outside their infrastructure.

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The latest update to digna addresses this challenge by expanding its in-database validation architecture, allowing validation logic to run within the source database through SQL-based inspections rather than exporting datasets into external data quality engines.

According to the company, this approach reduces operational complexity while helping organizations maintain stronger control over sensitive enterprise data.

“Many traditional data quality tools require exporting large datasets before checks can be performed,” said Marcin Chudeusz, CEO of digna. “Our approach moves the validation logic to where the data already lives. This allows teams to enforce sophisticated data quality rules without introducing additional data movement.”

Expanded Validation Capabilities

Release 2026.01 introduces several enhancements to the digna Data Validation module, expanding the types of data integrity rules organizations can enforce across their environments.

One of the key additions is multi-column uniqueness validation, which allows teams to verify compound business keys across datasets. Many real-world business entities rely on combinations of attributes—such as account identifiers, product codes, or timestamps—to define uniqueness. Traditional single-column checks cannot detect duplicates within these compound relationships.

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The new functionality enables validation of configurable column sets, helping identify duplicate business entities that may otherwise remain undetected in complex analytical systems.

The release also introduces referential integrity checks designed to validate relationships between datasets. These checks ensure that foreign key values in one datasource exist within a referenced datasource, helping detect orphaned records and broken relationships that can undermine downstream analytics and reporting.

The integrity checks support validation across multiple database environments, including different schemas, tables, views, or database connections within the same project.

These validation mechanisms are intended to support common enterprise scenarios such as:

maintaining data warehouse integrity

validating master data relationships

supporting regulatory reporting

improving reliability of downstream analytics and BI systems

Validation Without Data Movement

A distinguishing aspect of the platform’s architecture is that validation runs directly within the source database.

Instead of extracting data into external processing environments, digna executes SQL-based inspections through database interfaces and evaluates the resulting metrics externally. This design allows organizations to monitor data quality without copying datasets or creating additional storage layers.

The company states that this approach is particularly relevant for enterprises operating in regulated sectors where data residency, governance, and operational control are critical considerations.

“Enterprises increasingly want data quality capabilities that integrate with their existing platforms rather than requiring additional infrastructure,” said Danijel Kivaranovic, PhD, CTO of digna. “Running validation directly in the source database helps maintain governance and reduces unnecessary system complexity.”

Supporting Complex Enterprise Data Environments

In addition to the expanded validation coverage, Release 2026.01 also introduces improvements to datasource modeling and connection management designed to support heterogeneous enterprise data landscapes.

The update includes global database connections, logical datasources, and the ability for projects to reference multiple source connections. These enhancements are intended to simplify configuration across environments where data resides in multiple warehouses or databases.

Together, the new features aim to make data quality operations easier to maintain as enterprise data architectures evolve.

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Hosted.com Examines Prompt Injection Threats Affecting Websites Using AI

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Hosted.com Examines Prompt Injection Threats Affecting Websites Using AI

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Hosted.com examines the growing risk of prompt injection attacks to businesses using AI tools, including their potential impact, and ways to reduce exposure.

Hosted.com has released a new article explaining the rise of prompt injection attacks and their implications for businesses that rely on Artificial Intelligence (AI) for their websites, automation, and backend tasks. It outlines how these attacks work, the risks they pose, and the security measures to help prevent and mitigate them.

Businesses rely on AI more than ever. When misused, risks go beyond technical issues. Understanding threats and using layered security helps prevent prompt injection and other AI attacks.”

— Wayne Diamond

The Growing Role of AI in Business Operations
AI is increasingly integrated into online businesses for customer communication and support, content generation, analytics, and automation. This means models interact with and train on User-Generated Content (UGC), downloaded files, databases, and external sources, which may contain harmful prompts.

While traditional cyber threats often target system vulnerabilities or login credentials, prompt injection attacks focus on influencing how AI models act. These attacks are designed to manipulate behavior rather than exploit conventional security gaps.

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How Prompt Injection Attacks Work
Prompt injection attacks involve embedding malicious instructions into data. These instructions may be hidden in form submissions, documents, website content, or links. When processed by Large Language Models (LLMs), the injected prompts can cause AI tools to override built-in safeguards.

Prompt injections can be used to expose sensitive information, perform unauthorized actions, generate misleading outputs, or assist in phishing to gain access to admin and banking accounts. Because they rely on manipulating AI rather than attacking software directly, detecting and preventing them can be difficult using traditional security methods alone.

The Risks for Online Businesses
For businesses that rely on AI to process customer data or automate workflows, prompt injection attacks present several risks. These include potential data exposure and theft, unauthorized changes to site content, and admin account takeovers.

This can, in turn, impact customer trust and business continuity. Security incidents involving AI systems may also lead to regulatory or legal issues, especially when sensitive or personal data is involved.

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Infrastructure-Level Protection
Hosted.com’s article explains several infrastructure-level methods used to reduce exposure to prompt injection and related AI cyberattacks. These measures focus on identifying suspicious behavior before manipulated inputs are processed.

Comment sections, forms, and file upload areas are frequent entry points for manipulated inputs. Server-level file scanning can detect malicious scripts or embedded prompts in downloads and uploads.

Monitoring software can also identify unusual activity patterns that may indicate tampering during script execution. Request filtering can flag suspicious inputs before they reach websites or AI tools.

Traffic Filtering and Isolation
Web Application Firewalls (WAFs) provide an additional layer of protection by filtering inbound traffic and blocking anomalous requests from suspected AI bots.

Website isolation technologies further reduce risk by limiting the impact of a compromised file or script on other sites on the same server. By separating sites, isolation tools help prevent AI-related attacks on one site from spreading across the server.

According to Wayne Diamond, CEO of Hosted.com, “AI tools are used by businesses to operate and serve customers more than ever. When those tools are misused, the damage extends beyond technical issues. Understanding the risks and applying layered security helps prevent prompt injection attacks and other AI-based threats.”

Best Practices to Reduce Risk
In addition to Web Hosting infrastructure security, Hosted.com’s article covers best practices to reduce exposure to prompt injection attacks. These involve restricting AI permissions to essential functions, reviewing user-generated content before processing, and ensuring human oversight for sensitive tasks.

Monitoring for unusual behavior can also help identify potential manipulation early. While no single control can eliminate risk entirely, layered security, combined with operational awareness, can reduce both the likelihood and the impact of AI-related incidents.

Prompt injection attacks are continually evolving as AI advances, requiring security measures to adapt to emerging AI manipulation methods.

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Teneo and Thoughtworks Launch New AI-Focused Joint Venture

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Teneo and Thoughtworks Launch New AI-Focused Joint Venture

New joint venture to help companies manage business transformation in the AI and agentic age

The venture combines boardroom strategy, corporate advisory services, AI and software engineering services and the AI/works™ agentic development platform to deliver measurable business impact at speed

Will help companies seize AI-driven market opportunities while managing risk, security, ethics and governance 

  • Aligns Teneo’s 1,800-plus C-suite and Board advisors and deep network of global relationships with Thoughtworks’ 10,000-plus engineers and AI delivery expertise

  • Builds new services designed for the C-suite and Board agenda with teams of executive advisers, engineers, data and AI specialists

  • Leverages Thoughtworks’ proprietary agentic development platform to move companies from AI strategy to execution in weeks, not years

Teneo, the global CEO advisory firm, and Thoughtworks, a global technology consultancy that integrates design, engineering and AI, announced the launch of a new AI-focused venture designed to help companies manage business transformation and turn AI ambition into measurable business outcomes.

As AI reshapes every industry, technology is at the heart of how every business runs. This joint venture is built for this new era. It redefines senior strategic advice as AI-native with the ability to design, build and run AI-powered platforms, so insight turns into action and strategy becomes operational across the enterprise.

The venture brings together Teneo’s trusted advisory and global client network with Thoughtworks’ more than 10,000 engineers and deep expertise in design, product engineering, data and AI. The goal is clear: help companies react in real time and capture value from AI investments that deliver business outcomes in weeks and months, not years.

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As companies invest heavily into AI infrastructure and modernization, many struggle to translate ambition into results. The new joint venture is built to close that gap. It will work directly with CEOs and executive teams to align strategy, operating model and technology execution across growth, productivity, modernization, risk, talent and reputation.

“As CEOs navigate unprecedented macroeconomic, geopolitical and technological disruption, they must also become the primary architects of their companies’ AI futures,” said Paul Keary, CEO of Teneo. “Teneo has invested hundreds of millions of dollars into world-class talent and capabilities to develop the leading global CEO advisory firm. Now in partnership with Thoughtworks, we will bring to bear Teneo’s services with Thoughtworks’ AI leadership and deep engineering capability to help our clients navigate business transformation in the AI and agentic age.”

“AI transformation only works when strategy, culture and execution move together,” Mike Sutcliff, CEO of Thoughtworks, said. “This venture unites CEO-level advisory with hands-on engineering and AI delivery. In three days, we can help clients align on new product concepts. In three weeks, we can build a working prototype. In three months, we can put new systems into production. That is the pace today’s market demands.”

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Built for CEO priorities

The joint venture will build new, integrated services designed specifically for the CEO agenda. Operating with multidisciplinary teams of executive advisers, product leaders, engineers, designers and data and AI specialists, it will create solutions that unite strategy and execution from day one. Services will include:

  • Accelerating CEO priorities tied to growth, productivity, modernization and resilience
  • Scaling enterprise AI programs from strategy through deployment, including generative AI and advanced analytics
  • Strengthening stakeholder trust through AI-powered insights and engagement across investors, regulators, governments and customers
  • Managing geopolitical and market risk through real-time monitoring and scenario planning
  • Supporting financial resilience with digital tools to improve liquidity and guide restructuring
  • Transforming customer and employee experiences through modern product platforms
  • Redesigning operating models and leading enterprise change at scale

“As companies navigate rapid shifts in technology and capital markets, AI represents both opportunity and disruption,” said Alex Pigliucci, Teneo’s Global Head of Enterprise Clients, who will lead the joint venture. “This partnership equips our advisory teams, and our clients, with the ability to combine strategy and execution in real time, particularly in critical moments such as acquisitions, restructurings and large-scale transformations.”

The joint venture will be established in New York, with global hubs across the Americas, Europe, Middle East and Asia-Pacific. It begins operations immediately, supported by Thoughtworks’ ecosystem of leading technology partners including Amazon Web Services (AWS), Google, NVIDIA, Microsoft, Databricks and Mechanical Orchard to bring these new services to market at speed.

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Mindbreeze Introduces Insight Touchpoints and Journeys to Standardize Enterprise AI Workflows

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Mindbreeze Introduces Insight Touchpoints and Journeys to Standardize Enterprise AI Workflows

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Pre-built Insight Touchpoints and Insight Journeys enable enterprises to move beyond fragmented AI interactions and orchestrate trusted, role-based journeys across critical business processes

Mindbreeze, a leading global provider of AI-based knowledge management solutions, announced significant enhancements to the Mindbreeze Insight Workplace, a central control plane for enterprises. These enhancements expand capabilities for Insight Touchpoints and Insight Journeys and enables organizations to scale agentic AI in a structured, governed, and highly repeatable way. This shift moves enterprises from isolated experimentation to trusted execution at scale.

As enterprises accelerate AI adoption, many struggle to translate AI-driven knowledge into measurable business value. Outputs often vary by user, prompts are inconsistent, and critical decisions can be based on incomplete or unverified information. Mindbreeze’s latest advancements address this challenge by embedding governed AI directly into business workflows while maintaining transparency, oversight, and accountability.

New capabilities include pre-built, role-specific AI applications (Insight Touchpoints), automated multi-step workflows (Insight Journeys), and a centralized governance layer within the Insight Workplace. These enhancements allow organizations to deploy standardized AI workflows across departments while maintaining full auditability and permission controls.

The Insight Workplace serves as the central point of entry and, through its Insight Touchpoints and Insight Journeys, enables enterprises to move beyond ad hoc AI usage. They empower businesses to capture subject-matter expert knowledge once and reuse it across roles, teams, and processes. Mindbreeze assists organizations by transforming fragmented enterprise data into connected, decision-ready experiences.

Mindbreeze Insight Touchpoints

Mindbreeze Insight Touchpoints are AI apps defined by subject matter experts. Each Touchpoint is built around specific roles, functions, and business objectives. Instead of relying on individual prompts or generic chat interactions, each Touchpoint is pre-built with precise data sources, retrieval logic, and governance rules. This ensures accuracy, security, and consistency.

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For example, think of smartphone apps. The notes app has a different purpose than the camera app. Similarly, Touchpoints are designed for specific tasks, such as automatically responding to questionnaires, RFPs, providing project updates, or finding the relevant person. They deliver context-aware information that reflects real business operations. Touchpoints remain auditable, permission-aware, and aligned with enterprise standards.

Mindbreeze Insight Journeys

Mindbreeze Insight Journeys connect multiple Insight Touchpoints into end-to-end workflows. These workflows mirror how work gets done in an organization. A Journey can guide users through complex processes, such as preparing for executive briefings, resolving customer issues, or managing financial and operational decisions. Mindbreeze Insight Journeys are automatically created and stored in the Mindbreeze Insight Workplace. They refresh in real time, pulling the latest trusted data while preserving structure and accountability.

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For example, a support employee needs to respond to a customer about an appliance issue. They go to the Insight Workplace and use a general search Insight Touchpoint to find a solution. The Insight Workplace suggests using the Touchpoint for mechanical issues with appliance A. This Touchpoint provides updated documentation from the product solutions team. Another Touchpoint retrieves the customer’s previous issues and solutions. The Insight Workplace gives information from the product solutions team and past support tickets. The employee no longer needs to check multiple data sources or ask colleagues. Standardized, enterprise-approved AI interactions enable teams to act with confidence.

Mindbreeze Insight Workplace

The Insight Workplace, with Insight Touchpoints and Insight Journeys, allows enterprises to move from individual AI usage to enterprise-wide orchestration. Organizations can standardize best practices and improve operational efficiency. They deliver more consistent customer and employee experiences. The result is AI that supports informed decision-making and reduces variability and risk. It also scales across departments without sacrificing trust or control.

“Most organizations don’t fail with AI because of technology; they fail because AI doesn’t scale in a way the business can trust,” said Daniel Fallmann, founder and CEO of Mindbreeze. “Understanding Insight Touchpoints and Journeys is critical because that is how work actually happens inside an enterprise. With Mindbreeze, customers can take expert knowledge, structure it once, and make it available across the organization in a governed, repeatable way. That is how AI moves from isolated interactions to intelligent, connected experiences that create expert employees via collective knowledge—securely, consistently, and at enterprise scale.”

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Escalated.io Releases Next Generation Software Update for its Invalid Traffic Filtration Service

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Escalated.io Releases Next Generation Software Update for its Invalid Traffic Filtration Service

Escalated.io has released a key software update for its invalid traffic filtration service meant to bolster the company’s technology and safeguard industry players from increasing ad fraud threats.

General and sophisticated invalid traffic is an ever-growing problem that constantly presents as a moving target, which legacy solutions have struggled to keep pace with. Invalid traffic poses a threat to all parties in the advertising chain from buyers to intermediaries to sellers. Undesirable effects from invalid traffic are weak campaign performance, wasted ad budgets, loss of revenue, and even loss of partnerships and contracts.

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Escalated.io’s next generation software update, which has been deployed to the company’s Javascript pixel technology as well as its pre-bid filtration service, enhances all around security and increases detection capabilities. In one such instance, several invalid traffic types that once took a few impressions worth of data to flag can now instead be uncovered instantly on the initial attempt. Clients can then use Escalated’s tools to immediately block out the threat in real-time before passing it on and before it creates a problem.

“We already adhere to all best practices and standards set forth by industry bodies. However, we continue to innovate past the standards into developing techniques capable of solving the problem faster,” said Kyle Smith, Escalated CEO.

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The goal for Escalated.io has always been to speed up the detection process so that clients don’t need to wait and rely on reporting that generates days later or even a couple of hours later. The company does this by assessing the request itself, the device, the session, the history, and a multitude of other data points used to quickly and accurately build a precise evaluation.

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Hakan Özal Joins impact.com to Drive Enterprise Partnership Growth in DACH

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Hakan Özal Joins impact.com to Drive Enterprise Partnership Growth in DACH

Partners Marketplace - impact.com

Partnership marketing platform strengthens its approach in the German-speaking region, helping brands integrate cross-channel partnerships, with a focus on financial services

impact.com, the world’s leading commerce partnership marketing platform, today announced the appointment of Hakan Özal as Director Sales DACH, supporting the company’s continued growth across Germany, Austria, and Switzerland.

Özal will lead sales strategy in the region, focusing on enterprise advertisers managing complex, cross-channel partnerships.. His role will include helping brands integrate affiliate, creator, referral, and B2B partnerships within a single platform to gain a clearer view of the customer journey across partnership channels.

“With many companies only beginning to unlock the full potential of partnerships, my focus will be on helping brands build programs that are scalable, measurable, and set-up to deliver growth” Özal said. “impact.com enables companies to manage affiliate, creator, and strategic partnerships in one place, providing better insight into how these partnerships contribute across the customer journey.”

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impact.com provides technology that enables brands to manage, measure, and optimise partnerships across channels. By connecting brands with affiliates, creators, referral partners, and B2B collaborators, the platform helps organisations build trusted ecosystems where communities of partners can drive growth together. In today’s environment, where consumers rely more on recommendations and trusted voices than traditional advertising, these partnerships are increasingly central to sustainable, data-driven business outcomes.

In the DACH market, impact.com sees significant potential in sectors where complex customer journeys, strict data requirements, and regulatory obligations make transparent, measurable partnership programs particularly valuable.

Erwin Plomp, Senior Vice President for EMEA at impact.com, says: “The DACH market is an important growth area for impact.com, particularly as more enterprise brands look to partnerships as a strategic growth channel. Hakan brings deep experience in building sophisticated partnership programs and his knowledge of the region will help us support brands looking to scale partnerships in a more strategic and measurable way.”

Özal brings extensive experience in performance marketing. His career spans leadership roles at Groupon, Awin, DKB, and bunq. As part of the executive management team at financeAds, he led the company’s international expansion and established it as a leading specialist in affiliate marketing for financial services. He also served as Chairman of the Affiliate Marketing Committee within the German Association for the Digital Economy (BVDW), actively shaping industry quality standards.

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The appointment reflects impact.com’s continued investment in the enterprise segment and its commitment to supporting brands in regulated industries with scalable, data-driven partnership solutions.

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands—including TUI, Uber, Shopify, Lenovo, L’Oreal, Skyscanner and Levi’s—rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

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Toronto Marketing Agency Launches Human-Centred Campaign

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“If your business sells to humans, we should totally work together.”

Jessica Alex Marketing, a Toronto-based marketing agency, has noticed an alarming trend over the past few years.

“Humans are being replaced by AI, and not enough people seem to be talking about it,” said Jessica Alex, the agency’s founder. “AI can be a beneficial tool, if used responsibly and ethically, but the fact that companies are using it to replace all kinds of jobs, including for modelling and photography, is quite disconcerting to me.”

This shift is also affecting service-based businesses, where some individuals and businesses are opting to use AI instead of hiring people to do the work for them. After reflecting on a conversation with a potential client who told Jessica that they are using AI for everything, she had a light-bulb moment.

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“In one-on-one conversations with friends and colleagues, I’ve often brought up the point that if businesses keep opting to replace people with AI, how will people be able to afford those same products and services being offered? After reflecting on several recent discussions, including my conversation with that potential client, the slogan hit me: ‘If your business sells to humans, we should totally work together.’”

This slogan is a rallying cry of sorts to let other businesses know that humans are needed — on both sides of their business.

Looking over her notes from back in late 2023, Jessica realized this topic has been on her mind for quite some time.

“I do believe AI can be a vital, complementary piece to one’s work processes, but an emphasis is on the word complementary,” said Jessica. “And my hope, whether or not people want to work with my agency directly, is that this campaign will at least spark more of the conversations around the ethics and ramifications of replacing human capital with artificial ones.”

Jessica Alex Marketing is a marketing and PR agency that works with human-centric brands that care about the planet and bettering the lives of the people and communities they serve.

Jessica Alex Marketing specifically helps businesses around the world that are looking to elevate their brand presence and authority with customized branding, content marketing and PR solutions.

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Webflow Acquires Vidoso.ai to Expand Its Agentic Web Marketing Platform

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Acquisition builds on Webflow’s existing AI capabilities to further support brand-governed marketing at scale

Webflow announced it has acquired Vidoso.ai, a multi-modal AI asset generation startup focused on helping marketers create brand-aligned assets at scale. The acquisition advances Webflow’s evolution into an agentic web marketing platform, where AI works alongside marketers inside structured workflows to create and manage digital experiences at scale.

Founded in the Bay Area, Vidoso develops multi-modal AI systems designed to generate brand-aligned visual and video assets that adhere to established brand guidelines and templates. Its technology is built specifically for marketers who need creative output to remain consistent across campaigns, audiences, verticals, and channels.

Webflow plans to incorporate Vidoso’s underlying technology and agents into its platform over time to further support AI-powered creative workflows. Vidoso’s customers will continue to have access to their existing products.

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“The Vidoso team brings deep expertise in building agents that respect brand and structure,” said Linda Tong, Webflow CEO. “Right now, marketing teams are experimenting with AI in disconnected tools. Content gets generated, but no one owns the guardrails. If AI is going to power modern marketing, then it must operate with the rules, permissions, and workflows of the system of record. That’s what we’re building with our agentic web marketing platform.”

“Frontier models are trained on the average of the internet, not on the specifics of your brand. The first wave of AI gave marketing teams powerful but ungoverned AI that is capable of generating generic content, but blind to brand systems, rules, templates, and the approval workflows that keep enterprise marketing coherent,” said Sharad Verma, CEO and co-founder of Vidoso. “Vidoso was built to close that gap, making AI generation consistent, governed, and production-ready inside the systems marketing teams already use. Webflow’s vision for an agentic web marketing platform provides that governed environment where agentic generation becomes core infrastructure for how teams build and manage their web presence.”

The acquisition marks Webflow’s continued evolution from a visual web development platform to an agentic web marketing platform that supports teams across planning, building, managing, and optimizing web experiences. As AI becomes a part of everyday marketing work, Webflow is investing in the capabilities and infrastructure needed to help teams move faster without losing control of their brand.

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build and scale high-performing web experiences that drive predictable growth and strengthen brand trust. Webflow unites marketers, designers, developers, agencies, and AI agents together in a single, governed system built for performance, security, and scale. Today, more than 300,000 companies and over 2,000 Certified Webflow Partners trust Webflow to power enterprise-grade web experiences around the world.

Founded in 2024 and headquartered in Santa Clara, Vidoso, now part of Webflow, is a multi-modal AI platform for enterprise marketing teams. The agentic platform encodes a company’s marketing DNA, including brand voice, visual standards, and messaging frameworks, and uses AI agents to generate brand-aligned content at scale across video, images, copy, documents, and presentations. The company was founded by Sharad Verma and Ayush Chordia, with a team of AI engineers from Google, Meta, and Cruise.

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AI-Driven Search Is Accelerating Interest in Generative Engine Optimization (GEO), Says Arwenus SEO

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Industry observers note a shift toward AI-focused search optimization as generative search tools influence how users discover information online.

As artificial intelligence becomes increasingly integrated into search experiences, many organizations are beginning to reassess how they approach digital visibility. Industry observers point to the growing influence of AI-driven search tools and generative answer systems, which are gradually changing how users access and interact with information online.

Arwenus SEO is a digital marketing agency focused on SEO, technical optimization and content strategy, helping businesses improve online visibility and adapt to evolving AI-driven search technologies.”

— Orçun Altay

Traditional search engines have long relied on ranking lists of webpages based on relevance and authority. However, recent developments in generative AI have introduced new ways for users to obtain information. In many cases, users now receive summarized responses generated by AI systems that draw from multiple sources across the web. This shift has sparked discussion around an emerging concept known as Generative Engine Optimization (GEO).

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Generative Engine Optimization refers to strategies aimed at helping digital content remain visible and understandable within AI-powered search environments. Rather than focusing solely on keyword rankings, GEO considers how content is interpreted, summarized, and referenced by artificial intelligence systems.

Digital marketing agency Arwenus SEO notes that the increasing presence of AI in search environments is encouraging companies to examine how their information is structured and presented online.

“AI-driven search experiences are introducing new dynamics in how information is discovered,” said a spokesperson from Arwenus SEO. “Organizations are starting to recognize that content needs to be understandable not only for traditional search algorithms, but also for AI systems that interpret and summarize information for users.”

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Industry discussions around AI Optimization frequently emphasize the importance of structured, clearly organized content. AI systems often rely on contextual signals and entity relationships when interpreting information, which means that clarity, accuracy, and topical depth can play a significant role in how content appears in AI-generated responses.

Experts also note that generative search environments tend to favor content that demonstrates subject expertise and reliable sourcing. As a result, many organizations are focusing on building comprehensive topic coverage rather than producing isolated pieces of content designed primarily for keyword targeting.

Some of the emerging considerations frequently discussed within the industry include:

Clear content structure, which can help AI systems interpret information more effectively

Entity-based optimization, allowing connections between brands, topics, and related concepts to be recognized

Topical authority, where organizations publish consistent, in-depth information around specific subject areas

Credible references and sources, which may influence how AI systems select and summarize information

While generative AI continues to evolve, analysts suggest that traditional search engines and AI-generated discovery systems will likely coexist for the foreseeable future. In this environment, businesses may increasingly seek approaches that support visibility across both conventional search results and AI-assisted information platforms.

The growing conversation around Generative Engine Optimization reflects a broader transformation within the digital marketing landscape. As AI technologies continue to shape how people explore information online, many organizations are exploring ways to adapt their digital strategies while maintaining a focus on useful, reliable content for users.

Observers across the search and marketing industries expect further developments as AI systems become more widely integrated into everyday search experiences. For businesses navigating these changes, understanding how AI technologies interpret and present information may become an increasingly relevant part of long-term digital strategy.

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Bandicam Launches AI Feature to Transcribe Video to Text on Mac

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New AI transcription tool turns screen recordings into searchable text, subtitles, and MP4 transcripts in seconds.

Bandicam Company has announced the launch of a new AI-powered Video-to-Text (Transcription) feature in Bandicam for Mac. The new functionality enables users to quickly convert spoken content from their recordings into searchable transcripts and subtitle files without relying on third-party transcription services.

Our new AI Video to Text feature for Mac is a productivity breakthrough. By supporting multiple languages, we’re helping global users transcribe video to text instantly and effortlessly.”

— Denny

The feature is designed to enhance productivity for content creators, educators, students, and business professionals who rely on recorded video content. By integrating advanced AI transcription technology directly into its Mac screen recording software, Bandicam allows users to generate transcripts from recorded videos with just a few clicks.

The Ultimate Video-to-Text Converter for Mac
With the addition of the transcription tool, Bandicam for Mac now functions as a comprehensive video-to-text converter. The software can analyze spoken audio from screen recordings and automatically generate a transcript, allowing users to convert dialogue into written text within seconds.

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The feature simplifies the workflow for anyone needing to transcribe video to text without relying on expensive external AI transcription platforms. It also works as a practical MP4-to-text solution, allowing users to convert recorded MP4 videos into searchable transcripts and subtitle files directly within Bandicam.

Seamless Workflow and File Export
The built-in transcription system supports a seamless workflow that integrates directly into the recording process. The automatically generated subtitle files make it easy to create captions for videos or produce written summaries from recorded content.

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The exported .srt files can be used immediately for creating subtitles on platforms such as YouTube, while the .txt transcripts can be used for meeting notes, lecture summaries, searchable documentation, or video indexing.

Additional tools within the transcription interface help users refine their transcripts. A search box allows users to quickly locate specific words or phrases in the transcript. Users can also click the language icon to manually choose the transcription language or change the AI model and regenerate the transcript by clicking the refresh button. The CC button can be used to turn subtitles on or off during playback, and with Bandicam Pro, users can view the full subtitles while watching the video.

Multilingual AI Transcription for Global Users
Bandicam’s transcription system supports multiple languages, enabling users worldwide to convert speech into written text. Supported languages include German, English, Spanish, French, Indonesian, Italian, Dutch, Portuguese, Swedish, Vietnamese, Turkish, Russian, Ukrainian, Arabic, Korean, Simplified Chinese, Traditional Chinese, and Japanese.

Users can manually choose the transcription language or enable Auto-select for automatic language detection. This multilingual capability makes Bandicam an effective video transcription tool for global teams, educators, and students who need to generate subtitles, searchable transcripts, or meeting minutes instantly.

Advanced AI Transcription Settings
Bandicam also includes advanced settings that allow users to customize how transcripts are generated. By navigating to Settings → Transcription, users can configure several transcription options.

The software allows users to select different AI model presets, including Tiny, Base, Small, Medium, and Large Turbo. The Base model is selected by default for balanced performance, while larger models provide higher accuracy, with Large Turbo offering the highest transcription accuracy.

Users can also enable audio preprocessing to reduce background noise for better transcription accuracy. Additional options include clearing downloaded AI models using the model cache management feature.

Supporting the Growing Demand for AI Workflows
Bandicam Company has long been recognized for its high-performance screen recording technology designed to deliver high-quality recordings with minimal CPU lag. The launch of the new transcription feature reflects Bandicam’s continued focus on improving recording workflows through AI-assisted tools.

Denny Oh, CEO of Bandicam Company, highlighted the impact of the new feature for global users.
“Our new AI Video to Text feature for Mac is a productivity breakthrough. By supporting multiple languages, we’re helping global users transcribe video to text instantly and effortlessly,” said Oh.

He added that the innovation aligns with the company’s broader vision of providing flexible recording tools across multiple platforms.
“Bandicam provides seamless recording on Windows, Mac, and even our online tool. We are excited to now offer this advanced speech-to-text technology to our growing community of Mac users.”

Expanding the Bandicam Ecosystem
Bandicam is widely known for its lightweight and high-performance recording technology. The Windows version of Bandicam has long been considered an industry standard for screen recording due to its efficient performance and powerful features.

In addition to its desktop applications, the company also provides an online recording solution that allows users to record screens directly in a browser without installing software.

With the introduction of AI transcription in Bandicam for Mac, the company is expanding its ecosystem toward AI-powered productivity tools that help users convert recorded content into usable written information.

The new AI transcription feature is available now in the latest version of Bandicam for Mac.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Tells.co Among First U.S. Platforms Approved for RCS Business Messaging

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MTS Staff Writer
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Tells.co Among First U.S. Platforms Approved for RCS Business Messaging

Tells.co Logo

AI-powered messaging platform receives approval for next-generation RCS campaigns in the United States

Tells.co, an AI-powered messaging platform specializing in high-volume SMS and next-generation business messaging, announced it has received approval to deploy RCS Business Messaging, positioning the company among the first platforms in the United States able to run production RCS campaigns for businesses.

We built Tells to support where messaging is going, not where it’s been.”

— David Schlaegel, Co-Founder, Tells.co

RCS, or Rich Communication Services, represents the most significant evolution of business messaging since SMS. Unlike traditional text messaging, RCS enables rich media interactions directly within a consumer’s default messaging app, including high-resolution images, branded sender identities, interactive buttons, and swipeable product carousels.

The technology is gaining rapid momentum following Apple’s adoption of RCS support and growing carrier support across the United States, signaling a major shift in how businesses communicate with customers through messaging.

Marketing Technology News: MarTech Interview with Christopher P Willis, CMO at Acrolinx

“We built Tells to support where messaging is going, not where it’s been. RCS allows businesses to deliver experiences that previously required dedicated mobile apps. Now those experiences can happen directly inside a text conversation,” said David Schlaegel, Co-Founder of Tells.co.

EARLY RCS INNOVATION

Tells.co has already launched several advanced RCS capabilities designed for high-engagement marketing and customer communication, including:

– AI-generated personalized video messages delivered directly inside RCS conversations
– Interactive product carousels with embedded action buttons
– Verified branded sender profiles with company logos and identity
– Rich action links including tap-to-call, appointment scheduling, payments, and directions

Marketing Technology News: Future of Retail Martech Part 1: Personalisation and AI

These features allow businesses to deliver app-like customer experiences through messaging, dramatically increasing engagement compared to traditional SMS.

“Most businesses are still trying to understand what RCS is. Our clients are already using it in production campaigns. That early head start will matter as the channel scales,” said David Schlaegel, Co-Founder of Tells.co.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

EPC Group Expands Power BI Copilot With Enterprise Multi-Model AI Architecture

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MTS Staff Writer
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EPC Group Expands Power BI Copilot With Enterprise Multi-Model AI Architecture

EPC Group - Enterprise Microsoft AI, SharePoint, Power BI, and Azure Consulting

New architecture integrates Copilot, Azure OpenAI, Claude, and Perplexity to transform Microsoft Power BI into an AI-driven enterprise decision platform.

EPC Group, a leading artificial intelligence (AI) and business intelligence consulting firm, announced an expanded enterprise AI architecture for Microsoft Power BI that extends Microsoft Copilot with five additional AI intelligence layers. The new solution enables organizations to operationalize advanced analytics, predictive modeling, and AI-driven insights across their Microsoft Fabric and Power BI environments.

At most organizations, Copilot is only the starting point. We built five additional AI layers so leaders get a complete decision intelligence platform.”

— Errin O’Connor – EPC Group Founder

The architecture integrates Copilot for Power BI with Azure OpenAI, OpenAI, Claude, Perplexity, automated machine learning (AutoML), Microsoft Cognitive Services, native AI-powered visuals, and open-source AI frameworks including Meta Llama and Mistral. Together these technologies transform Power BI from a traditional reporting platform into an intelligent decision engine capable of delivering predictive analytics, automated insights, natural language exploration, retrieval-augmented generation (RAG), agentic AI workflows, and AI-generated narrative explanations for executive decision-making.

“At most organizations, Copilot is only the starting point,” said Errin O’Connor, Founder and Chief AI Architect of EPC Group, recognized as one of the Top 10 AI Architects in North America. “Over the past two years, I have personally led the development of this multi-layer AI architecture to expand Power BI beyond Copilot into a complete enterprise decision intelligence platform. By integrating Microsoft Fabric, Azure OpenAI, and leading large language model platforms such as OpenAI, Claude, Perplexity, and open-source AI, organizations can unlock conversational access to governed data while enabling predictive and agentic intelligence across their analytics environments.”

Marketing Technology News: MarTech Interview with Christopher P Willis, CMO at Acrolinx

The EPC Group architecture introduces a structured six-layer AI framework designed to standardize AI capabilities across Power BI deployments while maintaining enterprise-grade governance, security, and compliance.

Layer 1 – Copilot for Power BI
The first layer leverages Microsoft Copilot for Power BI, allowing business users to interact with enterprise datasets through natural language queries. Copilot enables the rapid creation of reports, automated generation of DAX measures, semantic model exploration, and conversational analytics that make complex datasets accessible to non-technical users.

Layer 2 – Native AI Visuals
The second layer standardizes Microsoft’s native AI-powered visuals within Power BI. These include Key Influencers, Decomposition Tree, Smart Narrative, anomaly detection, and Q&A visuals. EPC Group deploys these capabilities through a governed pattern library that ensures consistent modeling practices, row-level security enforcement, and explainable AI across enterprise dashboards. These AI visuals enable organizations to automatically identify drivers behind business performance metrics, uncover patterns in operational data, and generate human-readable explanations of complex analytics.

Marketing Technology News: Future of Retail Martech Part 1: Personalisation and AI

Layer 3 – Automated Machine Learning in Fabric Dataflows
The third layer introduces automated machine learning (AutoML) capabilities within Microsoft Fabric and Power BI dataflows. Using AutoML, organizations can build predictive models for scenarios such as customer churn prediction, revenue forecasting, demand planning, and risk analysis without requiring dedicated data science teams. EPC Group delivers repeatable implementation blueprints that train predictive models within dataflows, score datasets automatically, and publish results directly into Power BI semantic models and executive dashboards. This architecture allows predictive analytics to become part of everyday business intelligence workflows rather than a separate data science initiative.

Layer 4 – Large Language Model and Agentic AI Integration
The fourth layer integrates large language models (LLMs) and agentic AI workflows into the Power BI analytics stack. Through secure API integrations, Azure Functions, and retrieval-augmented generation (RAG) architecture backed by vector search, EPC Group enables Power BI environments to connect with leading AI platforms including Azure OpenAI, OpenAI, Claude, Perplexity, and open-source models such as Meta Llama and Mistral. These integrations enable advanced natural language querying, contextual data exploration, semantic search across enterprise knowledge bases, and automated narrative generation that can explain trends, anomalies, and business drivers in plain language. EPC Group’s agentic AI layer allows AI models to autonomously retrieve, reason over, and act on enterprise data — surfacing insights proactively rather than waiting for users to ask.

Layer 5 – Microsoft Cognitive Services Enrichment
The fifth layer incorporates Microsoft Cognitive Services into enterprise data pipelines. These services enable text classification, sentiment analysis, language detection, entity extraction, and document intelligence to enrich structured and unstructured data before it enters Power BI datasets. For example, organizations can analyze customer feedback, support tickets, contracts, and survey responses using AI-driven text analytics. The enriched results can then be surfaced within dashboards as measurable business metrics, allowing leadership teams to quantify customer sentiment, operational risks, and market trends.

Layer 6 – Automated Insights and Forecasting
The sixth layer introduces automated insight generation and forecasting capabilities directly into executive dashboards. Using Power BI’s Quick Insights, built-in forecasting algorithms, anomaly detection models, and Copilot-generated narrative explanations, organizations can create dashboards that continuously surface emerging trends and risks. These capabilities enable business leaders to move from reactive reporting toward proactive decision-making. Executives can receive automated alerts when anomalies occur, view predictive forecasts for revenue or operational performance, and understand the underlying drivers behind those predictions.

Transforming Business Intelligence into Decision Intelligence
By combining these six layers under a unified responsible AI governance framework, EPC Group enables organizations to transform traditional dashboards into AI-powered decision intelligence platforms. Instead of simply viewing historical data, executives gain access to predictive insights, agentic AI workflows, automated explanations, and conversational analytics capabilities that dramatically accelerate decision-making. The architecture is designed to integrate seamlessly with Microsoft Fabric, Azure Data Services, enterprise data warehouses, and modern cloud analytics environments.

EPC Group delivers this architecture through its Power BI and Microsoft Fabric consulting services, including enterprise data modeling, AI integration, governance frameworks, dashboard architecture, and scalable deployment automation. The firm has completed more than 1,500 Power BI implementations and over 5,200 Microsoft platform deployments worldwide, helping organizations modernize analytics platforms across Microsoft 365, Azure, and Microsoft Fabric environments. With nearly three decades of Microsoft consulting experience, EPC Group combines deep technical expertise with enterprise AI strategy to help organizations deploy analytics platforms that are secure, scalable, and capable of supporting the next generation of AI-driven decision-making.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

AI Automation and Website Digital Marketing Company Expand to Fredericksburg Texas

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MTS Staff Writer
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Coevera Introduces New AI Capabilities with 6.2 Release

SEO & Digital Marketing for Small Businesses

Austin Tx AI Automation and Website Digital Marketing Company Expand to Fredericksburg Texas

DIQSEO and CYBRSPC.AI Expand into Austin and Fredericksburg, Texas — Launch an AI Intelligence Layer for Websites, SEO/SGE/AIO, Automation, and Department-Level CRM Systems

Website Company in Fredericksburg Texas”

— SEO Company in Fredericksburg Texas

DIQSEO.com, a premier website development, SEO, and digital marketing firm, today announced an expanded strategic partnership with CYBRSPC.AI, an AI automation and custom software engineering company, to deliver a new generation of AI-powered growth, customer journey automation, and CRM modernization for small businesses, mid-market organizations, and enterprise teams.

As part of this expansion, the companies have established new operational hubs in Austin, Texas and notably expanded their presence with a new office in Fredericksburg, Texas, strengthening support for high-growth regional industries including hospitality, tourism, wineries, breweries, lodging, wine tours, restaurants, trades, and custom home builders. This adds a a robust list of services and more jobs to the Hill Country SEO Company in Fredericksburg Texas , Ai Automation Agency in Fredericksburg Texas, and Website Agency in Fredericksburg Texas.

Marketing Technology News: MarTech Interview with Christopher P Willis, CMO at Acrolinx

A New AI Intelligence Layer for Business Operations

DIQSEO and CYBRSPC.AI are building an AI-powered operating layer designed to sit across a company’s most important systems—website, marketing stack, sales pipeline, service operations, analytics, and CRM—so leadership can see, decide, and act from a single command center.

This intelligence layer is engineered to:

Unify business activity across marketing, sales, service, and revenue operations

Automate repeatable work via workflows and cross-platform integrations

Orchestrate department-level AI agents (Marketing, Sales, Service, Revenue, Ops) that support teams daily

Remember customer conversations across channels and prevent lead leakage

Generate audits, recommendations, dashboards, and next actions continuously

Integrate with existing tech stacks (Salesforce, HubSpot, and more) or replace the CRM entirely when a company has none

The vision is a system where a business can run with far less friction—while maintaining governance, approvals for high-risk actions, and complete transparency into what changed, when, and why.

Built for the New Search Era: SEO + SGE Optimization + AIO

As search evolves toward AI-first experiences—where results are summarized, generated, and personalized—DIQSEO and CYBRSPC.AI help brands compete across both traditional rankings and AI-driven discovery.

Marketing Technology News: Future of Retail Martech Part 1: Personalisation and AI

Services include:

Technical SEO (indexing, site speed, Core Web Vitals, architecture)

SGE optimization for AI-generated search experiences

AIO (AI optimization) for visibility in AI answers and summaries

Entity-based SEO, topical authority, schema markup, and semantic search optimization

Local SEO for multi-location and service-area businesses

CRO + UX/UI optimization to improve conversions after the click

Cross-Channel Conversational AI That Remembers and Converts

The partnership introduces AI chatbots and cross-channel conversational AI that don’t just respond—they continue conversations, follow up, and close gaps in the funnel.

Capabilities include:

Website chatbots that remember conversations and maintain context across sessions

Cross-channel AI via SMS, phone calls, email, live chat, calendar scheduling, and web chat

Lead qualification, routing, and handoffs between marketing, sales, and service

Automated follow-up and re-engagement sequences to reduce funnel leakage

Downstream service improvements through proactive support and lifecycle messaging

Custom CRM Solutions with a Salesforce-Style Cloud Architecture

DIQSEO and CYBRSPC.AI are launching CRM solutions built to match how businesses actually operate—whether they need to integrate with an existing CRM or deploy a full custom system.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

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