Sanas Broadens Real‑Time Speech AI Platform for Global Enterprises

March 26, 2026

Real‑Time Language Translation and Speech Enhancement unlock clearer communication across languages, accents and environments

Sanas, the Speech AI Platform built for enterprise communication, announced the launch of Real-Time Language Translation alongside a major upgrade to Speech Enhancement. Together, these capabilities advance Sanas’ evolution from an accent tool into a full-scale speech ecosystem helping enterprises communicate without barriers.

Already powering millions of conversations across more than 100 countries, Sanas supports leading global enterprises across healthcare, financial services, retail and hospitality. The platform is trusted by organizations including Carelon, Cigna, Comcast, Huntington, Robinhood, UnitedHealth Group, Vanguard and Wyndham, who rely on Sanas to support high-volume, real-time communication across diverse teams and environments.

The new capabilities further unify the platform to deliver clearer communication at enterprise scale.

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The Enterprise Communication Gap
Sanas was founded in 2021 at Stanford’s Artificial Intelligence Laboratory after a co-founder’s classmate lost a job not because of skill or performance, but because his accent was not easily understood. That moment revealed a deeper systemic challenge across global enterprises. Every global enterprise runs on voice, but the infrastructure powering real-time communication has not meaningfully evolved in decades.

Modern enterprise communication continues to be constrained by accent barriers, language fragmentation, inconsistent audio quality and limited real-time intelligence. As work increasingly happens through live audio in hybrid meetings, distributed teams and AI-assisted workflows, these gaps influence who is heard, how decisions are made and how effectively teams operate.

Sanas is building the real-time speech infrastructure layer that sits between humans, machines and customers in every live interaction. With on-device AI processing as the company’s core advantage, Sanas believes that all communication will eventually flow through this layer, where speech is enhanced, translated and understood in real time.

“Everyone deserves to be understood. We did not start Sanas to change how people speak. We started Sanas to remove barriers so communication can happen clearly and naturally, whether it is between humans or between humans and machines,” said Sharath Keshava Narayana, CEO and Co-founder of Sanas. “We are building the real-time speech infrastructure layer that enterprises will rely on for every interaction. These new capabilities move us closer to a world where communication is instant, clear and effortless.”

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Two Innovations Expanding Real-Time Communication

Real-Time Language Translation
Sanas now enables real-time, speech-to-speech translation across more than 13 languages with minimal latency. The system automatically detects languages and preserves each speaker’s vocal identity, tone and intent so conversations feel authentic. For example, a person can speak in French while the listener hears the conversation in English in real time.

Speech Enhancement
Speech Enhancement upgrades low-fidelity audio into high- and ultra-fidelity speech in real time, marking a major advancement beyond traditional noise cancellation. While noise cancellation removes the background, speech enhancement reconstructs the foreground, restoring clarity, intelligibility and presence while preserving vocal detail and expression. For enterprises, the result is more efficient interactions, improved customer satisfaction, and lower hardware costs.

“These innovations bring us closer to a world where language, accent and audio quality are no longer barriers to understanding,” said Shawn Zhang, CTO and Co-founder of Sanas. “More than just translating words, we’re preserving meaning, emotion and identity, ensuring every conversation is heard as it was meant to be.”

Enterprise Security, Privacy and Performance
Built with enterprise-grade privacy in mind, Real-Time Language Translation supports containerized deployment options, ensuring data control and compliance for highly regulated industries.

Sanas’ secure-by-design architecture includes on-device and self-hosted deployment options, reducing reliance on cloud infrastructure while ensuring low latency and data sovereignty. The platform is reinforced by HITRUST i1 certification and is designed to support organizations with strict security and compliance requirements. Sanas does not monitor, record or store call data, underscoring its commitment to privacy and trust.

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GAN Integrity Launches AI Analytics and Dashboards, Giving Compliance and Third-Party Risk Teams Real-Time Intelligence to Prove Program Effectiveness

prweb

March 26, 2026

GAN Integrity Launches AI Analytics and Dashboards, Giving Compliance and Third-Party Risk Teams Real-Time Intelligence to Prove Program Effectiveness

GAN Integrity is fundamentally changing how compliance leaders demonstrate program effectiveness. With the launch of AI Analytics and Dashboards, the platform provides compliance and third-party risk management (TPRM) teams with a purpose-built intelligence layer to measure, visualize, and prove their programs are working in real time.

New capability transforms compliance data into boardroom-ready answers — in plain language, on demand, without technical dependency

GAN Integrity, the leading platform for compliance and third-party risk management, today announced the launch of AI Analytics and Dashboards, a purpose-built intelligence layer that enables compliance and TPRM teams to measure, visualize, and prove the effectiveness of their programs in real time.

The launch addresses one of the most persistent challenges facing compliance leaders today: the inability to quickly and confidently answer the question boards, regulators, and executives are increasingly asking — “Is our program actually working?” — with data rather than description.

Until now, most compliance teams have relied on manual spreadsheet exports, static board decks, and IT-dependent dashboard updates to communicate program performance. GAN Integrity AI Analytics replaces that workflow entirely, giving compliance and third-party risk management teams direct access to live compliance and third-party risk data through natural language queries, customizable dashboards, and role-based views built for every stakeholder — from daily risk owners to the boardroom.

“Compliance leaders have spent years collecting the right data. What they’ve been missing is the ability to turn that data into answers — fast, clearly, and for whoever is asking,” said Helen Rosen, CEO of GAN Integrity. “With AI Analytics, we’re closing that gap. For the first time, a compliance team can walk into a board meeting, respond to a regulator, or prepare for an audit without a fire drill. They can show their program is working — not just say it. That shift from describing compliance to proving it is what this launch is about.”

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Compliance Intelligence Built for Practitioners, Not Data Teams

Unlike generic business intelligence tools or reporting layers bolted onto GRC platforms, GAN Integrity AI Analytics is built directly on the structured, governed data that compliance and TPRM teams already collect within the GAN platform. This means users can query their data in plain language and receive accurate, explainable outputs — without configuration expertise, technical intermediaries, or waiting on support.

Key capabilities of GAN Integrity AI Analytics include:

Natural language querying — Users type questions in plain language and receive instant charts, summaries, and trend analyses drawn from live compliance and third-party risk data.
Enhanced Self-service dashboard creation — Compliance and TPRM teams build, customize, and publish tailored dashboard views without code or BI expertise, on their own schedule.
Role-based, governed access — Every stakeholder receives a view calibrated to their needs: executives see risk posture and program health; auditors see evidence and control performance; risk owners see their third-party portfolio.
AI-guided field transparency — Intelligent prompting helps users understand available data fields, ensuring outputs are accurate, consistent, and defensible.
Single source of truth — All analytics are grounded in GAN’s unified compliance and third-party risk data model, eliminating reconciliation and version-control issues that plague spreadsheet-based reporting.

Meeting the Moment: Regulatory and Board Pressure on Compliance Effectiveness

The launch comes as compliance teams face mounting external pressure to demonstrate program impact with data. The U.S. Department of Justice has placed greater emphasis on data-driven measurement of compliance programs as a marker of program effectiveness, while boards and executive leadership are demanding clearer visibility into third-party risk exposure and compliance ROI.

“The demand for measurable compliance outcomes is accelerating,” said Luis Nino, Principal Analyst at Verdantix. “Organizations that can demonstrate program effectiveness through real-time data — not periodic reporting cycles — are better positioned to satisfy regulatory scrutiny, respond to board inquiries, and make risk-informed decisions at speed. Platforms that bring AI-powered analytics directly to compliance practitioners, without requiring data science capabilities, represent a meaningful step forward for the GRC market.”

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Jliveo Introduces AI-Driven Platform for Global Wholesale and Cross-Border E-Commerce Operations

prweb

March 26, 2026

Jliveo Introduces AI-Driven Platform for Global Wholesale and Cross-Border E-Commerce Operations

Jliveo launches an AI-driven platform combining global wholesale sourcing, dropshipping, and fulfillment to support cross-border e-commerce operations.

Jliveo, a B2B e-commerce solutions provider with more than 10 years of experience in the e-commerce industry, has announced the launch of its AI-driven platform designed to support global wholesale and cross-border e-commerce operations.

The platform integrates multiple functions, including supplier sourcing, dropshipping services, and fulfillment management, enabling businesses to manage operational processes within a single system.

According to the company, the solution is developed to address the increasing complexity of international e-commerce, where businesses often rely on multiple tools and service providers.

The platform supports both wholesale purchasing and on-demand order fulfillment. This approach allows users to adjust sourcing strategies based on business needs and market conditions.

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Jliveo also incorporates AI-based features to support digital commerce activities, including automated content workflows and multilingual communication capabilities.

Drawing on its experience in global e-commerce operations, the company has developed a fulfillment infrastructure that includes overseas warehouse support across several regions, which may contribute to improved delivery timelines and logistics coordination.

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Jliveo indicated that it will continue to develop its platform and expand partnerships to support businesses engaged in cross-border trade.

Jliveo is a B2B e-commerce solutions provider with over 10 years of experience in the e-commerce industry, offering tools and infrastructure for wholesale sourcing, dropshipping, and cross-border fulfillment.

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UK Startup MINDLINK Launches Local AI That Executes Excel Tasks Without Formulas

MTS Guest Author

March 26, 2026

Lightfield Launches One-Hour CRM Migration Agent, Enabling Startups to Replace HubSpot With an AI-Native CRM in Under 60 Minutes

Mica automates Excel via natural language. The local AI tool executes tasks directly within spreadsheets, replacing manual formulas and VBA.

As artificial intelligence tools evolve from generating suggestions to executing real tasks, UK startup MINDLINK TEC LTD today announced the launch of Mica, an AI assistant that can directly carry out operations inside Microsoft Excel without requiring formulas or manual scripting.

We built Mica to remove that gap entirely—so users can simply describe what they want, and the system executes it directly inside Excel.”

— Zhiyuan, CEO of MINDLINK TEC LTD.

Unlike traditional AI tools that generate suggestions, Mica operates as an “action engine” within the user’s desktop environment—allowing professionals to clean data, generate reports, and manipulate spreadsheets through natural language commands in real time.

The release comes as AI interfaces move beyond chat-based interactions toward action-oriented systems. Instead of stopping at recommendations, a new generation of tools is beginning to focus on execution—helping users complete tasks rather than just describe them. Mica is built around this shift, enabling users to move from intent to outcome within a single interaction.

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This shift comes at a time when AI adoption in workplaces is accelerating, but many users remain limited by the gap between AI-generated suggestions and actual execution. Tools that can close this gap are increasingly seen as the next step in productivity software.

Despite decades of dominance, Microsoft Excel still requires users to rely heavily on formulas and manual workflows for advanced tasks.

Bridging the Gap Between Intent and Execution
The core philosophy behind Mica is “Think, Don’t Code.” For decades, Excel mastery required memorizing thousands of functions like VLOOKUP, INDEX/MATCH, and nested IF statements. Mica shifts this paradigm.

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“Most AI tools today still require users to translate intent into prompts and then into actions,” said Zhiyuan, CEO of MINDLINK TEC LTD. “We built Mica to remove that gap entirely—so users can simply describe what they want, and the system executes it directly inside Excel.”

In early internal testing, Mica was able to reduce common Excel task completion time by over 60%, particularly in data cleaning and multi-sheet processing scenarios. The system has also demonstrated the ability to handle large local datasets without the latency typically associated with cloud-based tools.

Key capabilities include automated data cleaning, intelligent file mapping across multiple spreadsheets, and step-by-step execution transparency that allows users to understand how each task is performed.

Real-World Applications for Modern Professionals
Mica is designed for a wide range of professionals, including financial analysts, operations teams, and researchers who rely heavily on Excel for daily workflows. To see these capabilities in action, users can follow the Mica Quick Start Guide to begin automating their own spreadsheets in minutes.

A Native Windows Experience
Built for the Windows ecosystem, Mica supports Excel versions from 2007 through Microsoft 365. The installation process takes less than ten minutes and requires no complex setup. To get started, users can download Mica for Windows directly from the official website.

Technical Superiority Through Local Processing
By focusing on direct execution within the user’s workflow, Mica enables tasks that typically require multiple steps—such as combining data from several spreadsheets or reformatting large datasets—to be completed through a single instruction.

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Amplify Expands Leadership Roster with New President and Chief Revenue Officer

Business Wire

March 26, 2026

Amplify Expands Leadership Roster with New President and Chief Revenue Officer

Jason Rowley appointed to President, leading day-to-day operations; Kimberly Hill named Chief Revenue Officer, driving sales and client acquisition to accelerate growth

Amplify Technology, LLC (“Amplify”), the AI-native RIA growth platform built on data lake architecture, announced the appointment of Jason Rowley to President and Kimberly Hill to Chief Revenue Officer, strengthening the firm’s leadership team as it continues to rapidly scale and position for the next phase of growth.

Rowley, previously Amplify’s Chief of Staff and general counsel, will lead the firm’s day-to-day operations with a focus on execution, client delivery and organizational alignment. Hill, who previously served as the firm’s Chief Financial Officer, will expand her role to lead revenue strategy, including sales and new client acquisition, building on her track record of driving growth and strengthening client relationships across the platform. Vickie Lewin, who has been instrumental in building Amplify’s early client relationships as Chief Growth Officer, will step back from her position and serve in a consulting capacity with the firm.

A seasoned operator with deep experience leading high-growth, complex organizations, Rowley has played a key role in shaping Amplify’s operating model and supporting its growth trajectory over the last year. He brings a strong background in aligning teams, scaling operations and delivering consistent outcomes for clients. In his new role as President, Rowley will focus on ensuring the organization continues to execute effectively while evolving to meet the demands of a growing client base.

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“Amplify has built a platform designed for this moment of growth in the market,” said Rowley. “Our focus is on making sure we continue to execute at a high level and deliver for the firms that rely on us every day.”

Kim Hill, instrumental in driving Amplify’s growth since 2024, will lead client acquisition efforts and broaden the firm’s scalable approach to revenue generation. As Chief Revenue Officer, Hill will oversee the firm’s go-to-market strategy, with a focus on accelerating growth and deepening client engagement.

“The firms we work with are running sophisticated, growth-oriented businesses,” said Hill. “They are looking for partners who understand what it takes to operate and grow at scale. That’s where Amplify is squarely focused.”

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The Rowley and Hill promotions follow a series of recent C-suite additions, including the appointment of Mark Fischer, former Schwab Asset Management COO/CFO, to serve as the firm’s inaugural Chief Operations Officer, and the hiring of industry expert Jack Martin as Amplify’s Chief Marketing Officer. Over the last two years the company has expanded both team and platform capabilities to support a growing base of wealth management clients. Today, Amplify supports nearly $24 billion in assets under management, reaching more than 39,000 households and 649 advisors. The internal team has more than doubled since 2024, with over 100 employees currently at the firm, including multiple key engineering and technology hires.

“Since our inception we’ve been building a platform designed for where the RIA market is going,” said Aaron Brodt, co-founder of Amplify. “Jason and Kim understand our clients, our business and the opportunity in front of us. Their leadership positions us to accelerate our mission to continually raise the bar on innovation and meet the modern needs of our clients.”

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Locality Appoints Kouros Esfahany as Chief Technology Officer to Accelerate Cross-Platform Innovation in Local TV Advertising

PRNewswire

March 26, 2026

Locality Appoints Kouros Esfahany as Chief Technology Officer to Accelerate Cross-Platform Innovation in Local TV Advertising

Veteran ad-tech executive to lead next phase of scalable technology and data-driven growth

Locality, the leading local TV advertising platform connecting brands to local audiences across broadcast and streaming, announced the appointment of Kouros Esfahany as chief technology officer.

Kouros joins Locality as the company advances its unified platform across the local TV ecosystem and centralizes its data strategy following its introduction of Audience Engine, Locality’s proprietary data infrastructure that transforms more than 25 billion local data signals into high-fidelity predictive audiences, driving real-time performance across local markets.

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“As broadcast and streaming continue to converge, the need for a unified, data-driven approach to local advertising has never been greater,” said Michael Collins, CEO of Locality. “We’ve been building the technology and data foundation to support that shift, giving buyers and planners a clearer, more consistent way to plan, execute, and measure campaigns across markets and better understand the distinct value broadcast and streaming each deliver. Kouros has a proven ability to turn complex technology into real outcomes, and he’ll play a key role in what comes next for us.”

As CTO, Kouros will lead the continued evolution of Locality’s technology, including LocalX, its proprietary platform for planning, buying, and optimizing local video campaigns; Darwin, its AI-powered local broadcast planning and optimization solution; and Collective, which enables national planning and activation across local TV at scale. He will also build on Audience Engine, advancing the data and AI capabilities that drive more effective local execution and performance for advertisers.

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“Local advertising is undergoing a profound transformation as scale and precision come together,” said Kouros. “Locality has built a strong cross-platform footprint across the TV ecosystem, combined with historical local campaign data and advanced analytics in a single, unified workflow. My focus will be on accelerating the technology that connects these pieces—using automation, AI-driven insights, and integrated data infrastructure to power a more intelligent and efficient marketplace between buyers and premium local TV inventory.”

A published author and holder of 14 U.S. patents, Kouros brings unique experience in bridging long-term technology vision with practical business outcomes. A well-known tech innovator, he previously served as Chief Technology Officer at XR Extreme Reach and eBay, and SVP of Engineering at FreeWheel, and has held other leadership roles throughout his career. With this appointment, Locality reinforces its commitment to a platform-driven future for local advertising, one that combines massive local reach, predictive audience insights, and unified execution across broadcast and streaming environments to deliver a fully unified, accountable, and data-driven future of local TV advertising.

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Bland Unveils First AI Assistant That Builds Production-Ready Voice Agents From a Single Prompt

PRNewswire

March 26, 2026

Bland Unveils First AI Assistant That Builds Production-Ready Voice Agents From a Single Prompt

The first AI assistant purpose-built for voice agent development, turning weeks of development into minutes

Bland, the voice AI platform built for real conversations, announced Norm, the first AI assistant that enables technical teams to build a robust voice agent from a prompt. Norm significantly reduces the time to build an agent, while Bland’s development platform ensures that the agent works reliably and safely in production.

Building voice agents has traditionally required specialized expertise. Unlike chat-based systems, voice agents must handle speech patterns, interruptions, and tone control, all while operating at ultra-low latency (often under 400 ms) to deliver natural, human-like responses. Most people aren’t voice AI prompting experts. Until now, customers often relied on Bland’s Forward Deployed Engineers (FDEs) to safely implement changes or launch new agents.

Norm changes that. Norm codifies Bland’s expertise in building production-grade voice agents, giving customers the equivalent of their own personal FDE.

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With Norm, users can type a simple instruction. For example: “Build me a full scheduling agent and integrate with my Cal.com.” The system automatically generates the prompt, persona, agent, pathways, validation conditions, extraction rules, and API integrations. They can then thoroughly test the agent before deploying it live.

All changes are created on a safe branch. Users can review diffs between the original and updated prompts, validate the pathway, and run prompt-based unit tests before going live. Norm even simulates real customer calls to review, find issues, and improve your pathways.

“We’ve spent years learning what makes a voice agent work in production,” said Isaiah Granet, CEO of Bland. “The timing, the structure, the hundred small things that go wrong when you treat voice like chat. Norm is all of that knowledge in a tool. You tell it what you want. It builds something that actually works on the phone.”

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Introducing the Industry’s First AI Assistant for Building Voice Agents

Norm is your personal FDE that transforms natural-language instructions into production-safe conversational logic. Norm automatically validates changes between prompts, and can handle extractions, loop conditions, API integrations, and warm transfers seamlessly.

Key capabilities include:

Natural-Language Prompts: Describe what you want your voice agent to do; Norm generates the structured prompt, agent, and pathways for you automatically. No engineering resources needed.
Diff Visibility: Instantly compare changes between the original and updated prompts before deployment.
Safe Branching: All updates occur in a protected branch, enabling review and validation prior to going live.
API Integrations: Add external data sources or actions mid-flow and test API requests before activation.
Files & Knowledge Bases: Upload files or attach your existing Knowledge Bases for Norm to reference when building or modifying your pathways.
Self-Service Execution: Technical teams can launch or modify agents with Norm available 24/7 as their personal FDE.

New voice agents can be built in minutes, and live in production in days, not weeks, while maintaining control and safety.

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ViewLift and MyOutdoorTV Launch Conversational AI Search to Transform Streaming Discovery for Outdoor Enthusiasts

PRNewswire

March 26, 2026

ViewLift and MyOutdoorTV Launch Conversational AI Search to Transform Streaming Discovery for Outdoor Enthusiasts

New AI-powered feature enables natural language content discovery across MOTV’s extensive hunting, fishing, and adventure programming library

ViewLift, a global leader in digital streaming technology, and MyOutdoorTV (MOTV), the premier subscription streaming platform for outdoor lifestyle programming, announced the launch of ViewLift Conversational AI Search, an advanced AI-powered discovery capability designed to help subscribers find relevant outdoor content faster and more intuitively.

New AI-powered feature enables natural language content discovery across MOTV’s extensive adventure programming library.

The new feature enables natural language search across the MyOutdoorTV platform, currently available on the web with connected TV voice support rolling out in the near term. By moving beyond traditional keyword search, the system interprets user intent to deliver highly relevant results across MOTV’s extensive library of hunting, fishing, and outdoor adventure content.

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Powered by a semantic intelligence layer that combines vector search with retrieval-augmented generation (RAG), the technology analyzes titles, deep metadata, and transcripts across MOTV’s catalog to understand context, intent, and relationships between topics. The result is a discovery experience similar to the intuitive search used by leading streaming platforms such as Netflix—allowing viewers to move beyond simple keyword matches and surface highly relevant content through natural language queries. For example, users can search with detailed prompts such as “Show me archery elk hunts in the Colorado Rockies” or “Find fly fishing techniques for trout in fast-moving water,” instantly retrieving the most relevant videos from across the library.

“At ViewLift, our focus is on using AI to create experiences for end customers leveraging the latest technology only used by big companies like Netflix. This new experience allows users to search using concepts, keywords by typing or using voice.” said Manik Bambha, President of ViewLift. “Conversational discovery dramatically reduces the time between intent and viewing. For MyOutdoorTV’s passionate audience, it means faster access to the exact hunting, fishing, or outdoor content they want, while increasing engagement across the platform.”

Search results appear in a dynamic visual video grid, enabling subscribers to browse multiple experts, shows, and techniques simultaneously. As viewers refine their search within the same session, results update instantly to reflect the evolving conversation.

To further streamline discovery, the interface includes an interactive hover-to-play trailer capability, allowing viewers to preview clips directly from the search grid before launching full episodes. This reduces search friction and helps audiences quickly validate whether a program matches their interests.

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“With thousands of episodes covering every aspect of the outdoor lifestyle, helping subscribers discover relevant content quickly is essential,” said Sean Luxton, Sr. Vice President and General Manager at MOTV. “ViewLift’s Conversational AI Search introduces a smarter, more intuitive way for hunters, anglers, and outdoor enthusiasts to explore our programming and connect with the content they love.”

The conversational search experience also supports contextual follow-up queries, enabling viewers to refine results without restarting their search—for example, filtering by a specific expert, species, technique, or location.

By shifting from keyword-based discovery to intent-based conversational navigation, the new feature is designed to reduce search fatigue, surface long-tail content across MOTV’s library, and increase overall viewing time.

The launch represents a significant step forward in applying generative AI and semantic search technologies to OTT streaming platforms, positioning ViewLift and MyOutdoorTV at the forefront of AI-driven content discovery for specialized video services.

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MessageGears Delivers Warehouse-Native Revenue Tracking for Enterprise Marketers With New Cross-Channel Conversion Analytics

Business Wire

March 26, 2026

MessageGears Delivers Warehouse-Native Revenue Tracking for Enterprise Marketers With New Cross-Channel Conversion Analytics

By connecting campaign performance directly to data warehouse insights, MessageGears enables cross-departmental alignment and attribution accuracy that legacy platforms can’t match.

MessageGears, the leading warehouse-native data activation and engagement platform for enterprise brands, announced the launch of conversion reporting — a new suite of capabilities that ties campaign performance and revenue analytics directly to data warehouse insights without adding tools to the stack.

“This release delivers attribution reporting directly on top of the warehouse, so revenue metrics hold up when analytics and finance teams look at them – not just when marketing does.” -Eugene Yukin, VP of Product at MessageGears

Why warehouse-native architecture changes what’s possible in attribution

Most marketing platforms that offer conversion reporting have a fundamental limitation: their analytics are only as good as the data they’ve been given access to. Legacy ESPs, CDPs, and marketing clouds often rely solely on SDKs and/or APIs to fuel attribution, which can cause a disconnect with the full customer profile living in the data warehouse.

MessageGears works differently. As a truly warehouse-native platform, MessageGears reads data in-place right from an organization’s existing warehouse environment. Conversion reporting is built on that same foundation, which means revenue and conversion metrics are tied directly to the dataset that teams already trust.

“Most platforms treat conversion data as something separate from the warehouse. That disconnect is why marketing, BI, and finance teams end up arguing over whose numbers are right,” said Eugene Yukin, VP of Product at MessageGears. “This release delivers attribution reporting directly on top of the warehouse, so revenue metrics hold up when analytics and finance teams look at them – not just when marketing does.”

Beyond using warehouse data at the source, MessageGears seamlessly incorporates data via SDKs and APIs too. The result is attribution that’s more accurate, more complete, and more credible across marketing, data, and finance leaders.

Cross-departmental alignment starts with a single source of truth

For large enterprise organizations, one of the most persistent challenges in marketing analytics isn’t just measurement. It’s getting the marketing, business intelligence, and finance teams aligned on the same numbers. When campaign conversion data is siloed from the warehouse, discrepancies are inevitable. Reconciling those discrepancies takes time, erodes trust in marketing reports, and slows down decision-making.

“Every other platform asks you to jump through hoops to even attempt cobbling together attribution numbers. We’re not,” said Yukin. “Our customers get revenue and conversion metrics tied directly to their existing source of truth, which means they’re reliable and they hold up when other teams scrutinize them.”

Because MessageGears attribution feeds directly from and back into the data warehouse, conversion metrics are grounded in the same source of truth that data engineering and analytics teams already rely on. Marketers can report on revenue impact with confidence, knowing they’re looking at the same numbers as their colleagues. BI teams don’t have to field requests to validate numbers against another platform. And leadership gets a consistent picture of how specific campaigns and channels are driving business outcomes.

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What MessageGears’ conversion reporting capabilities include

Data admins can now access live purchase events and behavioral insights inside MessageGears directly from their data warehouse. Revenue is then automatically calculated and attributed back to campaigns across email, SMS, push, in-app, and embedded messaging. A new event management page gives teams full control over which event types are tracked, and marketers can use their own custom event labels to ensure consistency across reports regardless of how events are named in the underlying warehouse dataset.

The new conversions dashboard provides a unified view of how messaging drives action and revenue over time, filterable by channel, account, and timeframe. At the campaign level, visibility into purchases, revenue, and average order value make it straightforward to see which campaigns are contributing to the bottom line. Attribution windows default to 24 hours and are customizable by channel, using a last-clicked attribution model.

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“In other platforms, conversion metrics can typically only be viewed at the campaign level, whereas we’re providing visibility into how marketing performs holistically – in addition to giving the campaign-level breakdowns people are used to,” said John McGrath, Senior Product Manager at MessageGears. “These deeper insights identify top and bottom performing channels, messages, and segments. And marketers can subsequently apply those insights to inspire new campaigns and strategies.”

Critically, none of this requires changes to existing campaign setup. Once events are configured in MessageGears from the warehouse, the platform immediately begins attributing conversion events to live campaigns. Nearly all other engagement platforms require conversion events to be configured up front at the campaign level – and they prohibit changing those events once a campaign is launched. MessageGears’ solution is much more flexible. Not only is there no need to configure events in advance, but all campaigns can also be assessed against any event at any time.

“We kept hearing brands vent about having confidence in their warehouse data but not in their marketing platform’s reporting,” said McGrath. “That gap creates real problems. Not just for marketers trying to prove ROI, but for cross-functional alignment across the entire organization. Plus, teams want to deeply understand how campaigns impact a variety of customer actions – not necessarily just positive activity. MessageGears’ flexible approach to conversion reporting closes that gap by making the warehouse the true engine behind marketing attribution, not an afterthought.”

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Similarweb Appoints Harel Beit-On as Chairman of its Board of Directors

Business Wire

March 26, 2026

Similarweb Appoints Harel Beit-On as Chairman of its Board of Directors

Similarweb Ltd., a leading digital market intelligence company, announced the appointment of Harel Beit-On as Chairman of its Board of Directors. Mr. Beit-On has served as a member of Similarweb’s Board since 2017 and brings more than 30 years of experience in leadership positions and investment in technology companies. A co-founder and General Partner of the Viola Group, Mr. Beit-On has a strong investment track record as well as a long standing familiarity with Similarweb.

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Or Offer, Founder and CEO of Similarweb, said, “Harel has been a trusted advisor, mentor, and partner to me and to Similarweb over many years. As AI transforms how decisions are made across every industry, we believe Similarweb is uniquely positioned to become a foundational data layer powering this shift. Harel’s perspective, and ten years working closely with the company positions him really well for the role.”

“I am honored to assume the role of Chairman and to continue working closely with Or and the Similarweb leadership team. Similarweb has built a unique and highly valuable digital data asset that provides critical insights to customers worldwide. I firmly believe that we are only beginning to realize the opportunity this data asset provides in the age of AI,” Harel Beit-On said. He added ”I plan to support Similarweb’s strategic growth plans and its focus on generating long term shareholder value.”

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Mr. Beit-On is one of the co-founders of the Viola Group and Founder of Viola Growth, where he serves as General Partner. He previously served as CEO, President and Chairman of Tecnomatix, leading the company through its sale to UGS. He also served as the Chairman of ECtel and as Chairman of Lumenis . He currently sits on the boards of several technology companies. Mr. Beit-On holds a B.A. in Economics from The Hebrew University of Jerusalem and an MBA from the MIT Sloan School of Management.

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iOPEX Recognized for Outcome-driven Enterprise Transformation in HFS Horizons: Agentic Services, 2026 Report

Business Wire

March 26, 2026

iOPEX Recognized for Outcome-driven Enterprise Transformation in HFS Horizons: Agentic Services, 2026 Report

HFS affirms iOPEX’s industry-proven ability to embed scalable agentic workflow automation through its proprietary AI platform, ElevAIte.

iOPEX Technologies, a leader in agentic AI and automation-led enterprise transformation delivering Intelligence as a Service, announced it has been recognized as a Horizon 2 Enterprise Innovator in the HFS Horizons: Agentic Services, 2026 report — a comprehensive assessment of global service providers on their ability to deliver agentic AI at enterprise scale.

HFS Research’s assessment evaluated each provider across value proposition, execution, go-to-market strategy, and measurable client impact. As highlighted in the report, iOPEX empowers enterprises to overcome manual inefficiencies, fragmented systems, and barriers to AI adoption. By orchestrating multi-agent systems, iOPEX’s Intelligence as a Service approach connects front, middle, and back-office workflows through a phased framework of intelligent workflow transformation, agent development, and continuous optimization to drive efficiency, system unification, and compliant innovation.

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“The enterprises winning with AI today are the ones where an always-on intelligence layer is embedded into operations, not layered on top of it. At iOPEX, we’ve built our entire approach around that conviction: Intelligence as a Service, outcomes as a commitment, and cost that declines every quarter for clients. This recognition from HFS affirms our structurally different approach to transforming enterprise business functions with embedded intelligence,” commented Shiva Ramani, Founder & CEO, iOPEX Technologies.

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“iOPEX is bringing domain expertise, technical acumen, and a strong win-win gain-sharing game to agentic services. And, as you’d expect of the firm’s Ops DNA, a robust framework for AgentOps,” added David Cushman, Executive Research Leader, HFS Research.

At the core of iOPEX’s delivery model is ElevAIte, the productized foundation of Intelligence as a Service and a comprehensive suite of domain-focused Command Agents for CX, Field Service, Infrastructure, Security, Platform, Sales, Marketing, and Finance operations. And what sets iOPEX apart is its strong domain expertise, governance, and alignment with business outcomes, as validated in the report.

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Xnurta Appoints Former WPP Commerce Executive Luis Pedro Martinez as Managing Director, Europe

Business Wire

March 26, 2026

Marketbridge Appoints Fiona McKenzie as President of Europe

London-based hire signals continued global expansion and dedication to empowering agencies to combine human control with AI-driven innovation

Xnurta, the award-winning agentic AI-powered advertising platform in retail media, announced that Luis Pedro Martinez has joined the company as Managing Director, Europe, based in London.

Luis brings a rare combination of deep technical expertise and hands-on experience scaling commerce within global agencies.

Martinez brings more than 15 years of experience across technology, retail media, and agency leadership, most recently serving as a VP at WPP Media UK. His appointment marks a significant step in Xnurta’s international expansion and deepens its engagement with global brands and agency partners navigating the shift toward AI-driven advertising.

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“At Xnurta, we’re focused on building the future of retail media through AI,” said Kashif Zafar, CEO of Xnurta. “Luis brings a rare combination of deep technical expertise and hands-on experience scaling commerce within global agencies. As brands and agencies look to move faster and operate more intelligently, his leadership will be instrumental in helping them unlock the full potential of AI-driven advertising.”

Martinez began his career in digital advertising roles at Microsoft and Amazon, where he spent over a decade working at the intersection of data, infrastructure, and retail media during his formative years. He later joined Jellyfish, helping scale the agency’s Amazon practice into one of the largest in Europe, managing over $100 million in media. That model ultimately became a foundation for commerce capabilities within WPP.

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At WPP, Martinez played a key role in advancing commerce media strategy during a period of transformation. He grew his team from 20 to 65 people, consolidating all commerce staff under one practice.

“Commerce media is entering a new phase where AI is not just optimizing campaigns, but driving decision-making,” said Martinez. “Xnurta is built natively for that future. It brings together measurement, intelligence, and automation in a way that reflects where the market is going.”

Based in London, Martinez will lead Xnurta’s European operations, focusing on expanding partnerships with brands and agencies, supporting omnichannel commerce strategies, and accelerating adoption of AI-powered advertising solutions across the region.

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o9 Launches APEX: The Agile, Adaptive, Autonomous Planning and Execution Capability to Accelerate Enterprise Value Creation in the AI Era

Business Wire

March 26, 2026

o9 Launches APEX: The Agile, Adaptive, Autonomous Planning and Execution Capability to Accelerate Enterprise Value Creation in the AI Era

Strong Client Adoption and Execution, with Record Go-Lives in 2025 Underscore Growing Demand for Faster, Learning-Driven Enterprise Decision-Making

o9, a leading software company that is powering enterprise planning and decisioning models across 30-plus industry verticals with its groundbreaking, AI-powered Digital Brain platform, reported key highlights from 2025, including strong new client adoption, more than 130 successful go-lives, and 28 consecutive quarters of ARR growth. These results reflect growing demand for faster, learning-driven decisioning in a business environment shaped by volatility, uncertainty, complexity, and ambiguity (VUCA). During the year, o9 also introduced its APEX Model, a game-changing innovation for the new normal of rising volatility and complexity, designed to help current enterprise operating models rapidly identify and fix value leakages occurring across the value chain by evolving every aspect of end-to-end decision-making capabilities with Agentic AI.

The APEX Model is a set of Agile, Adaptive, and Autonomous Planning and Execution capabilities that help companies convert strategy into higher growth, improved margins, and cash flow year after year, and deliver results predictably quarter after quarter. It provides enterprises with a Human + AI decision-making system designed to:

Rapidly sense granular risks and opportunities across the value chain
Analyze forecasts and plan improvement scenarios
Learn from execution vs. plan deviations
Continuously improve data, policies, and playbooks with each cycle
Progressively automate well-governed decisions and workflows

The next-generation o9 Digital Brain provides the technology platform for the APEX Model. The key invention that made it possible is the new Enterprise Knowledge Graph technology powered by Neuro-Symbolic AI. This invention connects the strengths of LLMs (Neural AI) and the strengths of the original Enterprise Knowledge Graph (Symbolic AI), which has been proven to solve enterprise decision-making at scale in large companies. With the APEX Model, situation detection, analysis, and decision-making power moves to the edges, reducing layers between front lines and executives, as well as latencies and frictions across functions. Embedding learning directly into day-to-day decision workflows enables organizations to move beyond periodic planning cycles toward continuous improvement.

By enabling organizations to plan, execute, learn, and improve faster as one enterprise, one team with one unified plan, the APEX Model strengthens coordination across the value chain and drives a new level of value creation.

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“When LLMs emerged, we immediately saw their strengths and weaknesses in an enterprise decision-making context. Given our AI roots, we were laser-focused on connecting them to the Enterprise Knowledge Graph to solve the toughest challenges in driving operational value,” said Chakri Gottemukkala, Co-Founder, Chairman, and CEO, o9. “With o9’s breakthrough Neuro-Symbolic AI technology to power the APEX Model, enterprises can now learn systematically from post-game analysis, improve faster across functions, deploy new capabilities at the pace of the market, and continuously evolve their operations. Our clients see APEX as a strategic differentiator for their businesses in the coming years.”

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Additional highlights from 2025 include the following:

Record Number of Deployments: o9 successfully completed more than 130 go-lives, spanning integrated business planning, demand and supply planning, master planning, procurement analytics, and advanced retail workflows. These deployments demonstrate the flexibility of o9’s platform and the team’s ability to deliver at scale across multi-domain, global environments, while helping customers shorten the distance between plans and outcomes. In Q4 2025, o9 signed a range of new clients across retail, apparel, supplier manufacturing, automotive and industrial suppliers, and capital equipment, while also expanding deployments with existing customers in telecom and consumer products. Momentum was particularly strong in the Americas, with notable traction in retail and consumer-facing industries.

AI in Production and Post-Game Analysis: o9 moved multiple AI pilot initiatives into production environments, expanding the use of AI agents across planning and execution processes. The Company also advanced its Performance Post-Game Analysis (PGA) capabilities, which help organizations analyze execution versus plan, identify root causes of value gaps, and prioritize transformation initiatives based on measurable impact. By turning decision outcomes into institutional learning, PGA strengthens the adaptive dimension of APEX and supports sequencing digital transformation based on where value leakage is highest.

o9: A Customers’ Choice: In October 2025, o9 was the only vendor to be recognized as a Customers’ Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer for Supply Chain Planning Solutions, based on end-user reviews published on Gartner Peer Insights.* One of 16 other vendors included in the report, o9 was the sole software provider that received scores that met or exceeded the market average for both Overall Experience and User Interest and Adoption based on aggregated peer feedback. o9 believes the recognition reflects how customers experience the Company in real operating conditions and underscores its focus on execution, adoption, and value realization.

Additional Analyst Recognition: In 2026, o9 was named a Leader in the 2026 Gartner® Magic Quadrant™ for Supply Chain Planning Solutions: Process Industries and the 2026 Gartner® Magic Quadrant™ for Supply Chain Planning Solutions: Discrete Industries. o9 was also named a Niche Player in the inaugural 2026 Gartner® Magic Quadrant™ for Decision Intelligence Platforms. Throughout 2025, o9 was referenced in 36 independent industry analyst research reports across supply chain, retail, AI, and related enterprise domains, reflecting third-party recognition of its expanding platform capabilities and market presence.

o9 aim10x, Connect Events: o9’s aim10x digital 2025 event attracted 6,700-plus global registrants, while in-person aim10x summits and o9 Connect events in Europe, Asia, and the Americas brought together more than 3,200 attendees and 190 speakers across consumer goods, retail, manufacturing, and technology. These forums emphasized applied learning and peer exchange, with a focus on how organizations are using connected planning and execution to drive measurable business outcomes.

Social Impact at o9: In 2025, o9 received a Platinum Medal from EcoVadis, ranking in the top 1 percent globally. In addition, o9ers and The Company raised more than $249,000 in donations and matching contributions, supported 180+ children through the Make a Difference partnership, and logged more than 3,200+ volunteer hours worldwide.

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Jaarvis Expands AI Software Development Services in Australia to Help Enterprises Scale with Intelligent Solutions

MTS Staff Writer

March 26, 2026

Dubai-Based Lumitech Named Among Top Generative AI Development Companies in 2026 by Techreviewer.co

Jaarvis Technologies, a global provider of enterprise technology solutions, announced the expansion of its AI Software Development Services in Australia, aimed at helping businesses accelerate digital transformation, automate operations, and unlock data-driven growth.

As Australian enterprises increasingly adopt artificial intelligence to stay competitive, Jaarvis Technologies is delivering tailored AI solutions that integrate seamlessly with existing business systems. The company’s services focus on building scalable, secure, and high-performance AI applications for industries including finance, logistics, healthcare, retail, and manufacturing.

The AI Software Development Services in Australia offered by Jaarvis Technologies include machine learning model development, predictive analytics, intelligent automation, AI-powered chatbots, and custom AI application development. These solutions are designed to help organizations reduce operational costs, improve decision-making, and enhance customer experiences.

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“Businesses in Australia are rapidly moving towards AI-driven operations, but many struggle with implementation and scalability,” said Jaspal Sarai, CEO of Jaarvis Technologies. “Our AI Software Development Services in Australia are designed to bridge that gap by delivering practical, results-driven solutions tailored to each organization’s needs.”

Jaarvis Technologies follows a consultative approach, working closely with clients to identify high-impact use cases and develop AI solutions that align with business objectives. The company also ensures seamless integration with ERP systems, cloud platforms, and enterprise applications to maximize efficiency and ROI.

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With a growing presence in the Australian market, Jaarvis Technologies continues to support organizations in building intelligent systems that drive innovation and long-term growth. The company’s expertise in AI, ERP, and enterprise software development positions it as a trusted technology partner for businesses seeking sustainable digital transformation.

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AI-Driven Search Trends Influence SEO Strategies for Brisbane Businesses

MTS Staff Writer

March 26, 2026

AI-Driven Search Trends Influence SEO Strategies for Brisbane Businesses

AI-driven SEO is transforming search visibility, helping Brisbane businesses adapt to AI-powered results and improve online presence.

AI-driven search technologies are increasingly influencing how businesses achieve visibility online, as search engines expand their use of artificial intelligence to generate answers, summaries, and recommendations. This shift is changing how information is delivered to users, with greater emphasis placed on relevance, context, and structured data. Industry observers note that traditional ranking signals alone are becoming less dominant in determining visibility.

In response to these developments, digital marketing agencies are beginning to adjust their strategies to align with AI-powered search environments. This includes changes to how website content is structured, how information is presented, and how businesses establish authority across digital platforms. These adaptations reflect broader changes in how search engines interpret and prioritise information.

Jason Suli Digital Marketing, a Brisbane-based agency, is among those incorporating AI-focused SEO methodologies into its approach. The agency’s work reflects a growing trend within the industry toward aligning digital strategies with how artificial intelligence systems process meaning and intent. This includes an increased focus on structured content, entity signals, and consistency across online channels.

Search behaviour is also evolving as users increasingly rely on direct answers rather than browsing multiple websites. AI-powered features are shaping how results are displayed, often summarising information and recommending businesses based on perceived authority. This shift is influencing how businesses compete for visibility in both local and broader search results.

AI SEO, as it is commonly described, involves structuring content so it can be more effectively interpreted by artificial intelligence systems. It also includes strengthening entity recognition and ensuring consistency across digital touchpoints. These elements are becoming more important as search engines continue to refine how they evaluate and present information.

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“Search is no longer just about rankings — it is about how information is selected and presented to users,” said Jason Suli, Founder and CEO of Jason Suli Digital Marketing. “These changes are influencing how businesses approach their online presence.”

For businesses targeting local search terms such as SEO Brisbane and digital marketing Brisbane, these developments may have a direct impact on visibility. Industry trends suggest that businesses will need to consider both traditional optimisation techniques and emerging AI-focused SEO strategies. This reflects a broader shift toward more complex and adaptive search environments.

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The implications of AI-driven search are particularly relevant for local markets such as Brisbane. As search systems increasingly rely on artificial intelligence, visibility may depend more heavily on how clearly a business is understood within a given context. This places greater emphasis on structured data, clarity of services, and consistency across digital platforms.

As artificial intelligence continues to shape the future of search, further changes in SEO strategy are expected. Businesses and agencies alike are likely to continue adapting their approaches to align with evolving search technologies. This ongoing shift highlights the importance of monitoring industry trends and adjusting digital strategies accordingly.

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Signal AI Acquires Memo to Bring First-Ever Real Readership Data into Reputation Intelligence

PRNewswire

March 26, 2026

Signal AI Acquires Memo to Bring First-Ever Real Readership Data into Reputation Intelligence

Signal AI is building the reputation and risk tech modern leaders need to navigate a volatile world

Signal AI, a global leader in AI-driven reputation and risk intelligence, announces its acquisition of Memo, the world’s first and only platform providing readership data directly from publishers. Memo currently serves the world’s leading Fortune 500 customers, including Google, Pepsi, Walmart, Keurig Dr. Pepper, and PayPal.

For too long, PR teams have relied on “vanity metrics” like potential reach, impressions, or AVE to measure the impact of press coverage. Counting mentions alone doesn’t cut through the noise; Memo’s data reveals exactly how many people are reading about a brand at the article level. Memo customers have called their platform data “the holy grail solution” for measuring true readership.

This acquisition will integrate real readership metrics into Signal AI’s reputation and risk intelligence platform and services, giving Chief Communications Officers (CCOs) and reputation management teams a clearer, more holistic view of how their stories actually perform, what’s shaping their reputation, and which narratives pose a genuine threat to their brand. This shift will benefit Signal AI’s 800+ global customers, who already rely on compliant coverage across traditional media, social, podcasts, and regulatory filings to protect their brand value.

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This marks the first time real publisher readership data has been integrated into an AI-powered reputation intelligence platform.

Key strategic benefits of the acquisition include:

Ending an era of vanity metrics: A powerful blend of Signal AI’s trusted data—including share of voice, AI entities and topics, sentiment, and salience—with Memo’s unique readership data and direct relationships with premier publishers will dramatically improve reputation intelligence.
Impact-based crisis intelligence: Signal AI’s monitoring & alerting capabilities will be augmented with Memo’s readership data. This enables impact-based alerting, helping teams prioritize genuine reputational threats and avoid wasting precious resources on isolated incidents or short-lived noise.
C-suite-ready PR measurement: Finally, give PR teams accurate, C-suite-ready metrics for reporting and decision making so they know where to invest or pull back, while proving the true business value of earned media for publishers.

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Commenting on the acquisition, David Benigson, CEO & founder of Signal AI, said: “Our core mission at Signal AI is to serve today’s modern Communications leaders and help them protect brand value and build trust. The future with Memo means a more powerful way to measure reputation for today’s leading organisations, accelerating Signal AI’s mission towards helping leaders see clearly, decide confidently, and act boldly.”

Eddie Kim, CEO of Memo, said: “Memo already works with many communicators at the world’s largest companies because they acutely feel the pain of needing real data in today’s world of deafening noise. Integrating Memo data into Signal AI’s market-leading platform creates a solution that becomes mission-critical for any communicator who needs to manage their reputation and risk.”

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Honeywell and Rhombus Introduce AI-Driven, Cloud Video and Access Solution to Modernize Building Security

PRNewswire

March 26, 2026

Honeywell and Rhombus Introduce AI-Driven, Cloud Video and Access Solution to Modernize Building Security

Collaboration addresses rising demand for integrated cloud access and video solutions that simplify management across multiple facilities

Honeywell announced a collaboration with Rhombus, a leader in cloud-based video management, to expand its cloud-connected security and access solutions portfolio with new, AI-powered video solutions. This furthers Honeywell’s effort to accelerate and modernize how customers approach building security, which began in 2024 with the acquisition of LenelS2.

Together, Honeywell and Rhombus will deliver integrated access control and video management in a single cloud solution that is easy to deploy, scale and manage.

“This strategic alliance combines the strength of Honeywell’s access solutions portfolio, domain expertise and global reach with modern cloud video capabilities and AI enhancements,” said Billal Hammoud, President & CEO, Honeywell Building Automation. “Together, we will offer an integrated, cloud-based solution that innovates while ensuring reliability and system resilience.”

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Companies are increasingly shifting to cloud-based security and cloud video. According to Omdia*, cloud video solutions are growing annually at more than 20% and are projected to be the fastest-growing segment in the security industry through 2029. The Honeywell-Rhombus offering is perfectly positioned to support a paced, cost-efficient cloud journey for thousands of commercial and enterprise operations around the world while helping them to reduce risk.

“At Rhombus, we’ve always believed the best physical security solutions are open platforms. By partnering with Honeywell, a company that shares our vision, we’ll be able to offer customers cutting-edge solutions across video security, access control, sensors, building controls and more,” said Garrett Larsson, co-founder and CEO of Rhombus. “With access to our complementary expertise and the deep AI capabilities of both organizations, customers will see immediate value from day one. We’re excited to work with Honeywell to make buildings more secure and intelligent.”

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Honeywell, through integration and a reseller agreement, will offer Rhombus products through its channel partners and system integrator networks. The companies will also partner on deeper integrations that bring Rhombus’ AI analytics directly into Honeywell’s access control platforms. With Rhombus’ AI-powered platform, customers will be able to gain insights from video data beyond traditional surveillance, transforming video systems into a source of operational intelligence. Using capabilities such as Rhombus Insights, customers can train AI prompts to analyze activity patterns, investigate incidents more efficiently and better understand how physical spaces are being used.

The solution is designed for a variety of commercial environments, including retail chains, fitness centers, schools and other distributed sites. Rhombus products will initially be available through Honeywell in North America before deployment across other regions.

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Cognitiv Declares the End of Static Audience Segments with the Launch of AudienceGPT

Business Wire

March 26, 2026

Cognitiv Declares the End of Static Audience Segments with the Launch of AudienceGPT

Built on the same Deep Learning Advertising Platform as ContextGPT, AudienceGPT predicts consumer journeys to create dynamic audiences

Cognitiv, the leading advanced performance partner powered by deep learning, announced a major expansion of its platform with the launch of AudienceGPT™, an AI-powered tool that helps marketers identify audiences based on real-time consumer journeys. AudienceGPT moves audience targeting beyond static segments and stale browsing data by analyzing behavioral signals to identify not just an action someone took in the past, but whether they are likely to take action now.

“AudienceGPT represents the next big step in our Cognitiv Everywhere strategy. Our goal is to bring our platform’s deep learning intelligence to every part of the advertising ecosystem.” – Jeremy Fain, CEO and Co-Founder of Cognitiv

AudienceGPT is powered by the same deep learning engine behind the award-winning ContextGPT™, Cognitiv’s AI-powered contextual targeting solution that analyzes content environments to identify the most impactful ad placements. While ContextGPT determines the most relevant moments within content, AudienceGPT predicts where consumers are in the purchase funnel and what products they may be interested in. The solution enables marketers to target dynamic predictive audiences across audio, CTV, social, and programmatic channels. Marketers can activate AudienceGPT audiences through Cognitiv’s DSP, or deploy them as Deal IDs or segments in the SSP or DSP of their choice.

The challenge marketers face is not a lack of data, but the lag between insight and action, when those signals are already outdated. Traditional audience segments group people into broad categories based on simple signals like a search, a page visit, or a click, then lock those assignments in place for long periods of time. As a result, budgets are wasted on audiences that are poorly or too broadly defined, or are no longer timely. AudienceGPT takes a fundamentally different approach. By understanding the audience an advertiser is trying to reach, Cognitiv’s Deep Learning Advertising Platform develops synthetic consumer journey profiles that can then be found programmatically. The audiences can be updated in as little as fifteen minutes to ensure they are never stale, and can be resized on the fly based on precision and budgetary requirements.

“AudienceGPT represents the next big step in our Cognitiv Everywhere strategy. Our goal is to bring our platform’s deep learning intelligence to every part of the advertising ecosystem,” said Jeremy Fain, CEO and Co-Founder of Cognitiv. “ContextGPT understands the environment where an ad appears, while AudienceGPT understands the consumer behind the impression without outcome-based seed data. AudienceGPT gives marketers unified, predictive, scalable, adaptable targeting across all inventory including CTV, audio, and social. This gives them a big advantage in a hyper-competitive market where relevance and timing are everything.”

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It does not require outcomes data or segment taxonomy expertise, and is designed for how strategists actually want to work. Marketers simply describe their target audience in plain language through a chat-based interface and receive real-time persona recommendations, with transparent reasoning behind every recommendation. By evaluating each person individually using LLM-powered reasoning, AudienceGPT helps marketers understand how people make decisions so they can activate a custom segment with confidence at a speed that was previously impossible.

This product launches with the scale and precision of major industry partnerships. Expanded integrations with Magnite and Index Exchange deliver real-time supply curation, unlocking greater reach across display, video, CTV, and digital audio channels. AudienceGPT audience segments are securely distributed via LiveRamp Marketplace as ready-to-activate data products, powering scalable social campaign execution across leading platforms.

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“Consumer interests and behaviors shift quickly, and marketers need access to audience signals that reflect real-time shifts in behavior and intent,” said Paul Zovighian, VP Marketplaces at Index Exchange. “Through Cognitiv’s AudienceGPT and Index Marketplaces, buyers can activate high-fidelity signals closer to the supply source, helping them act on live signals and reach consumers when those moments matter most.”

“Streaming and digital audio comprise a significant amount of time where people engage with media, but audience targeting in those environments has lagged behind,” said Andrew Bez, VP, Enterprise Sales at Magnite. “Our integration with AudienceGPT changes the equation for media buyers. Brands can now reach people based on their real-time mindset across music and podcast streaming services, connecting with listeners when they are most receptive.”

By combining a decade of deep learning expertise with real-time audience creation, AudienceGPT helps advertisers eliminate guesswork, accelerate activation, and keep targeting aligned with real-world consumer behavior. This launch builds on Cognitiv’s strong 2025 momentum and recent enhancements to ContextGPT, which drove 388% growth in 2025.

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Omdia: Global Cloud Infrastructure Spending Rose 29% in Q4 2025 as Hyperscalers Scaled AI Infrastructure Investment

Business Wire

March 26, 2026

Omdia: Global Cloud Infrastructure Spending Rose 29% in Q4 2025 as Hyperscalers Scaled AI Infrastructure Investment

Omdia, global spending on cloud infrastructure services reached US$110.9 billion in Q4 2025, reflecting year-on-year growth of 29%. Growth accelerated from the previous quarter, marking the sixth consecutive quarter in which the market expanded by more than 20%. As enterprise AI demand shifts from experimentation to production deployment, hyperscalers are increasing investment to expand AI infrastructure capacity.

“For cloud vendors, the challenge is no longer just about scaling capacity quickly enough to meet surging demand,” said Rachel Brindley, Senior Director at Omdia.

Looking ahead to 2026, Omdia forecasts that global cloud infrastructure services spending will grow by 27%, with competitive differentiation increasingly shaped by infrastructure scale, capital efficiency and the strength of AI agent-related platform capabilities.

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During the quarter, AWS’s growth accelerated to 24%, while Microsoft Azure and Google Cloud recorded strong year-on-year growth of 39% and 50%, respectively. AI demand is no longer confined to specialized compute such as GPUs, but is also driving broader infrastructure demand across CPUs, storage, and networking. As enterprise AI adoption increasingly centers on agents, workflows, and data integration, organizations require infrastructure environments that can be effectively orchestrated, scaled, and governed. This reinforces the role of cloud platforms as the operational foundation for AI, while continuing to support the migration of both traditional and emerging workloads to the cloud.

Meanwhile, AWS, Microsoft, and Google Cloud all reported backlog growth, pointing to sustained demand and continued enterprise investment in AI and cloud infrastructure. Rising demand is also prompting hyperscalers to step up capital spending to accelerate AI infrastructure expansion. AWS expects capital expenditure to reach US$200 billion in 2026, more than 50% above the nearly US$132 billion recorded in 2025. Microsoft reported quarterly capital expenditure of US$37.5 billion, up by nearly US$15 billion year on year. Google, meanwhile, raised its 2026 capital expenditure guidance to between US$175 billion and US$185 billion, more than double the prior year’s level.

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“For cloud vendors, the challenge is no longer just about scaling capacity quickly enough to meet surging demand, but about doing so with discipline across investment pace, resource allocation, and global operational efficiency,” said Rachel Brindley, Senior Director at Omdia. “As AI continues to raise infrastructure requirements while constraints remain, vendors that can expand in a more targeted and efficient way will be best positioned to lead in the next phase of competition.”

At the same time, competition is increasingly extending beyond model access and infrastructure scale toward the application layer, particularly in the development and deployment of AI agents. “For enterprise customers, the key question is whether these capabilities can be embedded into existing systems, workflows, and data environments, and then scaled reliably in production,” said Yi Zhang, Senior Analyst at Omdia. “This is pushing cloud vendors to invest more heavily in tool governance, workflow orchestration, and deployment capabilities, helping AI move closer to operational use at scale.” For example, AWS has introduced productized agent offerings such as Kiro, Amazon Quick, Transform, and Connect, while Microsoft is extending agents into cloud operations and application modernization workflows.

AWS remained the leader in the global cloud infrastructure market in Q4 2025, with a 32% market share and 24% year-over-year revenue growth, up from the previous quarter. It ended Q4 with a total backlog of US$244 billion, underscoring sustained demand. AWS stated that Amazon Bedrock had reached a multi-billion-dollar annualized run rate, with customer spending increasing 60% quarter on quarter. In December 2025, AWS introduced Nova Forge, enabling enterprises to incorporate proprietary data during the early training stages of Amazon Nova models to build customized foundation models, known as Novellas. This supports deeper model customization for enterprise AI agents. AWS has also introduced productized agent solutions including Kiro, Amazon Quick, Transform, and Connect, helping translate AI model capabilities into tangible business value. Meanwhile, AWS continues to expand its global infrastructure footprint, with ongoing investment in data center capacity across Europe and the United States to support growing demand for AI compute.

Microsoft Azure remained the world’s second-largest cloud service provider in Q4 2025, with a 22% market share and year-on-year revenue growth of 39%. Since December 2025, Microsoft has continued to expand the range of models available in Azure AI Foundry, adding models such as Mistral Large 3, GPT-5.2, and Claude Opus 4.6, further reinforcing its position as an enterprise-grade multi-model AI platform. At the same time, Azure is moving agentic AI beyond model access and into enterprise execution. The launch of agentic cloud operations in February 2026 extended Azure Copilot into cloud operations and continuous optimization, while new agentic capabilities introduced in March across Azure Copilot and GitHub Copilot further integrated application modernization into an end-to-end workflow. On the infrastructure front, Microsoft announced in February that its Saudi Arabia East data center region will open in Q4 2026, further extending its localized cloud and AI footprint.

Google Cloud held its position as the world’s third-largest cloud service provider in Q4 2025, delivering robust year-on-year growth of 50% and expanding its market share to 12%. By the end of the quarter, it reported a total backlog of US$240 billion, up sharply from US$157.7 billion in Q3, underscoring improved demand visibility. In January 2026, Google entered a multi-year partnership with Apple to develop the next generation of Apple Foundation Models leveraging Gemini models and Google Cloud technologies. Since December 2025, Google Cloud has continued enhancing its enterprise AI platform, Vertex AI, with additions including Gemini Embedding, Gemini 3.1 Pro, and Nano Banana Pro/2 to further strengthen enterprise capabilities in retrieval, complex reasoning, and multimodal generation. Concurrently, it has strengthened enterprise AI agent readiness through tool governance in Vertex AI Agent Builder and Provisioned Throughput for stable, high-concurrency deployments.

Omdia defines cloud infrastructure services as the sum of bare metal as a service (BMaaS), infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS) and container-as-a-service (CaaS) and serverless that are hosted by third-party providers and made available to users via the Internet.

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Infobip Supports Thousands of Startups and Scaleups Through Startup Tribe Programme

Business Wire

March 26, 2026

Infobip Supports Thousands of Startups and Scaleups Through Startup Tribe Programme

In the first five years of the programme, Infobip has provided significant value in products and services to members, helping them build and scale customer communications worldwide

Global AI-first cloud communications platform Infobip, which is celebrating its 20^th anniversary this year, has supported thousands of startups and scaleups from over 120 countries in the first five years of its Startup Tribe Programme.

Infobip launched its Startup Tribe Programme in May 2021 to help mission-driven startups and scaleups to build and manage their customer communications and engagement strategy and grow their business. It does this by providing access up to $60,000 in credits for Infobip’s services and its global network of advisors, investors, and accelerators. In the first five year, Infobip has provided millions in the value of products and services to its programme members.

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By eliminating the need to build a global communications infrastructure from the ground up, Infobip’s programme enables startups and scaleups to focus on what really matters: developing their product and scaling their business.

Startup Tribe member Ilija Milovic, Co-Founder & CTO at cloud property management system HotelSync, said: “HotelSync is proud to be a rapidly growing hospitality tech provider, and Infobip’s Startup Tribe programme has played a key role in supporting our scaling journey. Being part of Infobip Startup Tribe has been a gamechanger for HotelSync. Infobip’s platform has been instrumental in automatizing and optimizing essential workflows, from reliable transactional emails and secure OTP verifications to leveraging advanced tools like WhatsApp. Crucially, the generous credit programme has allowed us to reallocate significant resources from infrastructure costs directly into sales and marketing, which is often the biggest challenge for growing startups. Beyond the programme, we are committed Infobip users because of the platform’s exceptional stability and amazing support.”

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Startup Tribe member Gloria Oppong, Co-Founder and CEO at Cleanster, said: “Infobip’s Startup Tribe programme gave us the support and credits we needed to accelerate our growth. The service has been amazing, and the platform does exactly what it is supposed to do, enabling our team to integrate quickly and ensure reliable communication with our users. Having a partner that provides stable infrastructure and responsive support has helped us focus on scaling Cleanster and delivering a better experience for both cleaners and customers.”

Lucija Reić, Startup Ecosystem Team Lead at Infobip, said: “In first five years, our Startup Tribe Programme has helped new and ambitious firms achieve their business objectives and scale up through the engagement and reach offered by our global communications platform. As we celebrate Infobip’s 20^th anniversary, our goal is to help the startups and scaleups we support to reach two decades in business with access to our market-leading services and global network of world-class investors, funds, and accelerators.”

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In the first five years of the programme, Infobip has provided significant value in products and services to members, helping them build and scale customer communications worldwide

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