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Cognitiv Announces Strong 2025 Business Performance Driven by 388% Growth in ContextGPT

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Cognitiv Announces Strong 2025 Business Performance Driven by 388% Growth in ContextGPT

A decade of deep learning investment, strengthened by new executive leadership, delivers real-time, privacy-safe performance at scale

Cognitiv, the leading advanced performance partner powered by deep learning, announced strong business momentum in 2025, highlighted by 388% growth in ContextGPT™ and the rapid adoption of the company’s deep learning advertising platform. This traction is attributed to accelerating customer growth, strategic investment in talent, and rising demand among brands and agencies for proven AI-driven performance marketing.

“Cognitiv’s co-location strategy with leading SSPs gives us a huge advantage. We can optimize viewability, VCR, and clicks in milliseconds with 10-times the computing power of competitors’ containerized solutions.” – Jeremy Fain, CEO, Cognitiv

Over the past year, marketers and media buyers have turned to Cognitiv to implement Custom Algorithms, and to navigate signal loss, media fragmentation, and rising performance expectations across digital channels. The company is positioned at the center of a major industry shift, as algorithm-driven spending in 2026 is forecast to account for 71.6% of total ad expenditure worldwide, rising to 76% by 2028.

“Our growth reflects a clear shift in how brands and agencies are approaching performance marketing,” said Jeremy Fain, CEO, Cognitiv. “Advertisers are moving beyond self-serve optimization toward automated deep learning systems that can understand context, interpret intent, and drive outcomes at scale. Cognitiv’s co-location strategy with leading SSPs gives us a huge advantage. We can optimize viewability, VCR, and clicks in milliseconds with 10-times the computing power of competitors’ containerized solutions. This enables bidding decisions that respond to live signals at a pace that others cannot match.”

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The Curated Contextual Era is Here

At the center of this growth is Cognitiv’s unique approach to curation, combining ContextGPT’s contextual intelligence with co-located infrastructure that takes media execution beyond a reliance on stale audience segments to unleash the power of real-time algorithmic decisioning for advertisers.

ContextGPT, the industry’s first real-time contextual targeting intelligence platform, helps advertisers understand intent and activate performance without relying on cookies, pixels, or user IDs. Powered by deep learning and advanced language models, ContextGPT interprets content with human-like nuance, enabling brands to deliver more relevant, brand-suitable advertising at scale. In 2025, ContextGPT customer adoption increased more than 44%. Continued innovation, including Interactive Audience Exploration and an upgraded Relevance Engine, delivered up to 40% greater accuracy in connecting brands with custom-defined audiences.

Advertisers Choose Better Performance

Along with the major enhancements to ContextGPT and Cognitiv’s self-learning Custom Algorithms, customer growth accelerated in 2025, with a 67% increase in overall new clients year over year and a 29% improvement in average ROAS from the first half to the second half of 2025. Cognitiv’s deep learning advertising platform delivered measurable performance gains across key verticals such as CPG, pharma, and travel, with existing customers expanding their relationships and running more campaigns as results improved.

Building the Industry’s Best Team

Cognitiv’s momentum reflects not only business growth, but organizational readiness to scale. To support increasing customer demand and continued product innovation, the company welcomed new talent and promoted dozens of team members across engineering, data science, product, customer success, and go-to-market functions.

2025 marked a pivotal moment in Cognitiv’s evolution with the promotion of Justine Frostad as its first Chief Marketing Officer, signaling a purposeful investment in brand and executive vision as the business enters a new phase of maturity. The year also brought four new VP and SVP additions, alongside multiple senior-level promotions, strengthening the leadership bench and reinforcing a clear commitment to developing talent from within as the company continues to build with momentum.

The company also strengthened its strategic planning with the addition of marketing and media veteran Michael Kassan to its board, underscoring Cognitiv’s maturity and long-term growth trajectory.

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Four Tatari clients to Air Commercials During NBC’s Super Bowl LX Broadcast, Underscoring Its Role as the Go-To Partner for TV Advertising at Scale

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Four Tatari clients to Air Commercials During NBC’s Super Bowl LX Broadcast, Underscoring Its Role as the Go-To Partner for TV Advertising at Scale

Ro, Manscaped, Tecovas, and Life360 to Air Commercials During NBC’s Super Bowl LX Broadcast

Tatari, the leading convergent TV advertising platform, announced that four of its clients, Ro, Manscaped, Tecovas, and Life360, will advertise during Super Bowl LX. Bringing four advertisers to the Super Bowl in a single year marks a new high for Tatari and reflects its growing role as the partner brands turn to when TV becomes central to their growth strategy.

The Super Bowl represents the most premium, complex, and closely held inventory in television. For brands, it is not simply a media buy but a strategic moment that requires scale, access, and deep coordination across multiple partners.

Increasingly, brands rely on Tatari to help them scale their TV campaigns, guiding them through a disciplined, data-driven path into TV and live sports. Rather than jumping straight into marquee moments, advertisers test into sports in smaller doses, measure performance at the spot level, and refine creative based on outcomes like cost per site visit and cost per acquisition. As campaigns prove effective, brands build confidence and impact over time. The Super Bowl represents the culmination of that process, not a departure from it.

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“This didn’t happen overnight,” said Andy Schonfeld, Chief Revenue Officer of Tatari. “Ro, Manscaped, Tecovas, and Life360 didn’t wake up one day and decide to buy a Super Bowl ad. They built on TV over time, testing, learning, and scaling with intention. The Super Bowl is a natural outcome of that process, and bringing four advertisers this year reflects how often Tatari now plays that role for brands.”

NBC offers a limited number of streaming-only Super Bowl placements through Peacock, two of which were secured by Tatari clients this year. That inventory is transacted directly with the network and is not available through programmatic exchanges, leaving self-serve DSPs and programmatic CTV ad platforms on the sidelines. Tatari works directly with broadcasters like NBC to secure and manage these placements, leveraging long-standing relationships to help brands access premium inventory and unique sponsorships and integrations into TV show content.

The four Tatari Super Bowl advertisers span categories including healthcare, CPG, apparel, and technology, demonstrating Tatari’s ability to support a wide range of business models and marketing objectives. Whether brands are focused on accelerating growth, expanding awareness, or reinforcing category leadership, Tatari provides a unified platform and strategic partnership to help them scale on TV.

Historically, Tatari has supported one or two Super Bowl advertisers each year, including TickPick, which ran its first-ever Super Bowl ad last year as part of a streaming-first strategy. Super Bowl 59 drew 14.5 million streaming viewers across Tubi and NFL digital properties, with Tubi alone delivering 13.6 million viewers, a new record that far exceeded projections. The results underscored the strength of the streaming commitment that Tatari helped secure: within seconds of airing, TickPick saw a sharp surge in demand, driving more than 700 website visits and 1,800 app installs in a single minute and ultimately driving close to 12,000 installs and over 8,000 website visits over the next 28 days. Bringing Ro, Manscaped, Tecovas, and Life360 to this year’s Super Bowl reflects Tatari’s continued growth, expanding publisher relationships, and increasing presence at the highest levels of television advertising. Looking ahead, Super Bowl 60 has the potential to continue the trend of record-setting viewership, creating even greater opportunities for this year’s advertisers.

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And for Tatari clients, the momentum doesn’t stop after the game. Leveraging its TV technology and post-game strategy, Tatari helps advertisers sustain momentum well beyond the final whistle. Through retargeting, brands can re-engage viewers who saw their Super Bowl ad with follow-up TV ads designed to drive consideration and conversion. For Fiverr, this approach allowed Tatari to build on their initial Super Bowl spot, efficiently retargeting exposed audiences with additional creative to move them further down the funnel and optimize performance in the weeks that followed. And the impact doesn’t stop there. TV creates a powerful halo effect that amplifies other channels. In fact, more than half of Tatari’s clients see that their TV ads boost purchase conversion rates of other marketing channels by more than 50%.

Tatari’s platform enables advertisers to plan, execute, and measure campaigns across linear and streaming TV from a single system, combining software with hands-on expertise. The result is a repeatable path for brands, from first TV test to the most-watched broadcast in the world.

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Boomi’s Market Momentum Accelerates as Enterprises Standardize on Its AI Activation Platform

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Boomi’s Market Momentum Accelerates as Enterprises Standardize on Its AI Activation Platform

Boomi

  • Integration and automation leader achieves 50% customer growth in just over three years

  • Company now serves 30,000+ customers worldwide, including more than a quarter of the Fortune 500

  • Boomi powers enterprise-scale AI with 75,000+ agents running in production

Boomi™, the leader in AI-driven automation, announced that the company’s momentum in enterprise integration and agentic AI has reached a defining moment, driven by unmatched scale, independent analyst validation, proven customer outcomes, and ecosystem growth. With more than 30,000 customers worldwide — including over a quarter of the Fortune 500 — Boomi’s continued growth reflects the trust the world’s largest enterprises place in its platform. customers rely on Boomi’s unique runtime architecture for mission-critical operations — including over 75,000 AI agents in production — executing billions of dollars in transactions with enterprise-grade reliability and resilience.

“Boomi is experiencing the strongest momentum in its history,” said Steve Lucas, Chairman and CEO of Boomi. “Organizations are moving beyond AI experimentation and turning to Boomi to help them operationalize AI at enterprise scale. That momentum is reflected in our customer growth, where we have expanded our customer base by 50% in just over three years. Our platform innovations, strategic partnerships, and global customer base reflect a clear shift toward real-world outcomes, enabling businesses to unlock value, streamline operations, and build a trusted foundation for the future of AI-enabled automation.”

This adoption is reinforced by unprecedented third-party recognition. In 2025, Boomi was the only vendor named a Leader in both the Gartner® Magic Quadrant™ for Integration Platform as a Service (iPaaS) and the Gartner® Magic Quadrant™ for API Management. In the iPaaS category, it marked the 11th consecutive time Boomi was positioned as a Leader. Boomi achieved another industry first with its inclusion as a Major Player in the IDC MarketScape: Worldwide Data Integration Software Platforms 2025 Vendor Assessment.1 And most recently, Boomi was designated an Exemplary Vendor in both the ISG Buyers Guide™ for Data Integration and the ISG Buyers Guide™ for Master Data Management. In these reports, Boomi earned multiple Leader placements across product capability, customer experience, and validation.

“The enterprise integration and automation market is reaching an inflection point as AI moves from experimentation to large-scale deployment,” said Shari Lava, Research Vice-President, AI and Automation, IDC. “As AI initiatives become embedded in mission-critical operations, buyers are looking beyond point solutions and increasingly favoring platforms that combine integration, automation, and governance at enterprise scale. Organizations are prioritizing proven platforms with demonstrated reliability, broad ecosystem support, and modern developer experiences — particularly those capable of supporting high-volume workloads, ensuring trust and compliance, and delivering measurable business outcomes. These characteristics are becoming foundational to the next phase of enterprise AI adoption.”

Setting the Standard for Trusted, Enterprise-Scale AI Adoption

As enterprises shift from AI pilots to production, Boomi continues to strengthen its competitive position through disciplined innovation and enterprise trust. Among the first vendors to achieve ISO/IEC 42001 certification for AI management — and the only provider in its sector compliant across all 16 key security standards — Boomi supports regulated, large-scale AI initiatives. Boomi further strengthened its AI compliance posture by officially listing ISO/IEC 42001 on the CSA STAR registry and achieving a current SecurityScorecard rating of 96. Boomi has also maintained the highest consistent SecurityScorecard rating among leading iPaaS providers, averaging 95+ for the past 18 months, reinforcing its commitment to industry-leading security and governance.

The company has also expanded its core platform through the strategic acquisitions of Rivery and Thru, Inc., enhancing real-time data ingestion and enterprise-grade managed file transfer capabilities that support higher-volume workloads and broaden Boomi’s addressable enterprise use cases.

Customer Growth and Impact

With adoption accelerating across global enterprises, Customers such as Australian Red Cross, Avalara, BNP Paribas, Chevron Federal Credit Union, Crane Worldwide Logistics, Lexitas, Moderna, Multiquip, NFI Industries, Quanta Services, Sandoz, Toyota Australia, University of Technology Sydney, and World Wide Technology are pushing the boundaries of what’s possible using Boomi to tackle critical business challenges and deliver measurable impact.

“As a company built on great-tasting products, innovation, and speed, transforming our IT services with AI is critical,” said Jeff Lischett, Global CIO, Tropicana Brands Group. “By using Boomi to connect our enterprise systems and automate key processes with greater intelligence, we’re shifting from reactive issue resolution to proactive operations—strengthening shipment and delivery execution and improving order processing performance.”

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Product Innovation: Advancing the Enterprise Platform for Agentic Transformation

Boomi delivered a series of major platform innovations in 2025 that reflect the company’s focus on enabling trusted, governed, and production-ready AI across complex, hybrid environments:

  • Boomi Agentstudio –Since its launch, Boomi Agentstudio, Boomi’s agent management platform (AMP), has seen rapid enterprise adoption as organizations scale agentic AI with built-in governance. More than 75,000 agents are now deployed in production, and partners have published hundreds of reusable agentic workflow assets through the Boomi Marketplace, accelerating time to value across real-world use cases.
  • API Management and MCP Support – Boomi introduced comprehensive API management to help organizations securely expose, manage, and scale APIs alongside integrations and AI workflows. Boomi also broadened support for Model Context Protocol (MCP) to enable more flexible, context-aware agent interactions, while new innovations, such as Data Hub Command Center, strengthened centralized data governance, observability, and control.
  • Boomi Data Integration and MFT – The acquisition of Rivery, now Boomi Data Integration, enhanced real-time data ingestion and analytics-ready pipelines, enabling customers to unify operational and analytical data at scale. Boomi’s acquisition of Thru, Inc. added enterprise-grade managed file transfer (MFT) capabilities, supporting secure, high-volume workloads — an expansion that has increased customer adoption by more than 270% following the acquisition. Additional innovations — including change data capture (CDC) ingestion for SAP — further expanded Boomi’s ability to support complex enterprise environments and modernization initiatives.

Together, these product advancements position Boomi as a foundational platform for organizations seeking to connect data, applications, APIs, and agents into a unified, governed system designed for scale, resilience, and measurable business impact.

Strategic Partnerships Expand Enterprise Success

In 2025, Boomi expanded its global partner ecosystem, deepening strategic collaborations with leading technology and services providers to help enterprises accelerate AI-driven transformation, including:

  • AWS — Boomi and Amazon Web Services (AWS) entered into a multi-year Strategic Collaboration Agreement focused on helping enterprises build, monitor, and govern generative AI agent workflows. Together, the companies are enabling customers to accelerate SAP migrations, modernize hybrid environments, and deploy trusted, scalable AI solutions on AWS.
  • ServiceNow — Boomi expanded its partnership with ServiceNow, announcing a strategic commitment to elevate customer experiences through AI-powered self-service solutions and intelligent workflows. As part of the expanded collaboration, the partnership has delivered additional capabilities within ServiceNow Workflow Data Fabric for connecting the whole enterprise, and now also includes Boomi Data Hub Command Center, a new module powered by ServiceNow workflows that strengthens data governance, visibility, and automation.
  • DXC — In partnership with DXC Technology, Boomi established a Center of Excellence for Agentic AI to help organizations modernize legacy environments, unify systems, and accelerate adoption of agentic automation.
  • EY — Boomi further strengthened its alliance with EY, expanding joint efforts to support large-scale enterprise modernization, data integration, and AI readiness initiatives.

Rapid Global and Regional Workforce Expansion

Over the past three years, Boomi has grown its global headcount by nearly 40% as the company continues to scale worldwide.

In Vancouver, Boomi has ramped operations from no local presence to a team of more than 250 employees, opening and expanding office space to support continued growth in the region.

Looking Ahead: 2026 Will Be the Year of AI Activation

As enterprises move beyond AI pilots toward production, Boomi believes 2026 will mark the shift from experimentation to activation. Competitive advantage will come not from investing in AI alone, but from embedding governed, production-ready intelligence into core systems, data, and workflows — separating organizations that deliver measurable outcomes from those still stuck in proof-of-concept.

“2026 will be the year organizations stop experimenting with AI and start activating it at scale,” said Lucas. “The winners won’t be the ones that invested the most, but the ones that built the right foundation, connecting data, systems, and intelligent agents with trust and governance at the core. This is the moment when AI moves from promise to performance, and Boomi is helping enterprises turn that potential into lasting business impact.”

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Level AI Featured as Pioneering on the CMP Research Prism for both Automated QA/QM and Customer Analytics: Showcasing Capability in Customer Contact and CX Technology

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Level AI Featured as Pioneering on the CMP Research Prism for both Automated QA/QM and Customer Analytics: Showcasing Capability in Customer Contact and CX Technology

Level AI proudly announces its placement on CMP Research Prism, an elite technology assessment framework developed by CMP Research, a division of Customer Management Practice (CMP) for both Automated QA/QM and Customer Analytics. This respected framework highlights Level AI as a Pioneering provider for customer contact and customer experience (CX) professionals aiming to optimize their technology investments with confidence through Automated QA/QM and Customer Analytics.

The CMP Research Prism for Automated QA/QM evaluated twenty-two solution providers, including Level AI, while Customer Analytics evaluated nineteen solution providers and segmented them into five categories: pioneering, leading, core performing, up & coming, and emerging using analyst analysis, user feedback, and marketplace data across ten investment criteria.

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“Achieving pioneer status in both Quality Assurance and Customer Analytics is powerful validation of our strategic vision to deliver human-quality AI for every customer interaction,” said Ashish Nagar, CEO of Level AI. “By unifying these disciplines through one single intelligence layer, we are finally enabling brands to automate QA operations based on real-time customer insights. This ‘better together’ approach ensures that every operational improvement is directly rooted in the customer’s voice, turning raw data into a continuous engine for loyalty and growth.”

Nicole Kyle, Managing Director of CMP Research, adds, “With the crowded technology landscape, customer contact leaders need a reliable source to guide their technology decisions. CMP Research Prism was created to assess solution providers like Level AI to equip buyers and influencers of the customer contact and CX technology stack with insights to inform their investments.”

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CMP Research Prism is the only marketplace assessment framework built exclusively for customer contact and CX executives. The Prism helps customer contact leaders and CXOs differentiate solution providers in a complex market and make more informed, confident investment decisions that future-proof the CX technology stack. Prisms are updated every six months and upcoming technology assessments will cover chatbots/virtual agents, Conversational IVR/voicebot, and real-time agent assist/copilot.

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Luciq Expands Agentic Mobile Observability With a Full Lifecycle Agentic Loop

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Luciq Expands Agentic Mobile Observability With a Full Lifecycle Agentic Loop

Luciq Logo

New multi-agentic system, rapid instrumentation, and enhanced session replay help mobile teams prevent production issues before users are impacted

Luciq announced a significant expansion of its Agentic Mobile Observability platform, extending agent-driven intelligence across the entire mobile app lifecycle. The release introduces a coordinated, closed-loop system of AI agents that continuously detect, triage, resolve, and help prevent mobile production issues before they affect end users.

Originally focused on post-release debugging, Luciq’s platform now connects production insight directly to development and release workflows. The result is a shift from reactive observability to proactive reliability, purpose-built for the realities of mobile engineering.

As mobile applications grow more complex across devices, operating systems, and rapid release cycles, engineering teams are spending an increasing share of their time diagnosing production issues instead of building new features. Traditional observability tools, designed primarily for backend systems, often fail to surface mobile-specific failures such as UI hangs, broken user flows, and non-crashing logic errors that directly impact user experience.

Luciq’s Agentic Mobile Observability platform addresses this gap by applying specialized AI agents across the mobile lifecycle. These agents continuously analyze real-world production behavior, prioritize the most impactful issues, and assist teams in resolving problems faster.

“Mobile engineering has unique challenges that general observability tools weren’t designed to solve,” said Moataz Soliman, Co-founder and Chief Technology Officer at Luciq. “With this expansion, Luciq’s agentic systems move beyond observation. They actively work with developers to reduce investigation time and protect app quality as teams ship faster.”

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The Luciq Agentic Loop: Four Agents, One Continuous Workflow

At the core of the expanded platform is a coordinated four-agent system designed to mirror how mobile teams build, ship, and operate apps in production:

  • Detect Agent continuously monitors mobile apps to identify silent failures that degrade user experience, including UI hangs, broken interactions, and non-crashing logic errors.
  • Triage Agent automatically groups thousands of duplicate bug reports into single, actionable issues, reducing alert noise and developer fatigue.
  • Resolve Agent, which powers AI Crash Insights, analyzes metadata across millions of user sessions to surface likely root causes and reproduction steps in seconds.
  • Release Agent acts as a production guardrail by analyzing potential regressions during the pull request process, helping teams protect user experience before code is merged.

Together, these agents form a closed-loop workflow where insights from production continuously inform development and release decisions.

Faster Time to Value and Clearer Debugging

Luciq is also introducing Agentic Instrumentation, a new onboarding experience that allows mobile teams to move from a clean codebase to their first visible issue in the dashboard in under 10 minutes. This significantly reduces the friction and time-to-value traditionally associated with mobile SDK setup.

In addition, Session Replay 2.0 delivers a unified, color-coded timeline that connects user interactions, logs, and network events in chronological order. This visual context helps eliminate the reproducibility gap for complex mobile bugs that are difficult to recreate locally.

Rather than relying on reactive alerts, Luciq continuously prioritizes issues across releases, devices, and user sessions, enabling teams to focus on the problems that matter most to users and the business.

The platform is built for mobile engineering leaders, including VPs of Engineering, CTOs, and platform leads responsible for balancing development velocity, reliability, and governance.

“Agentic Mobile Observability makes observability practical at scale,” said Kenny Johnston, Chief Product Officer at Luciq. “It allows mobile teams to spend less time firefighting and more time building, without sacrificing reliability.”

Luciq supports thousands of mobile teams globally across fintech, e-commerce, gaming, and other mobile-first industries, helping them deliver high-quality app experiences in increasingly complex production environments.

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eClerx Recognized as a Gold-Level Adobe Solution Partner

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eClerx Recognized as a Gold-Level Adobe Solution Partner

eClerx Services Ltd Logo

eClerx Services Ltd , a leading productized services company, announced that it has been recognized as a Gold Partner for the Americas region within the Adobe Solution Partner Program.

“This recognition reflects the growth, delivery strength, and strategic maturity of our Adobe practice. It positions us for deeper collaboration with Adobe and enables us to accelerate value creation for our clients.”

Achieving Gold Partner status places eClerx among an elite group of Adobe partners and highlights the scale, maturity, and measurable impact of its enablement capabilities. The recognition reflects eClerx’s ongoing investment in helping enterprises operationalize Adobe platforms to drive meaningful business outcomes.

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As an Adobe Gold Solution Partner, eClerx transforms client Adobe platform investments across content, creativity, data, and analytics into integrated, intelligence-driven ecosystems.

eClerx combines deep domain expertise with AI-driven capabilities and the power of 1500+ experienced professionals, managed by Adobe-certified experts to help leading Fortune 500 organizations deliver personalization, performance, and measurable business impact at scale across the full customer lifecycle. The company supports over 150 clients in unlocking value from their Adobe investments.

“We are proud to be promoted to Gold Partner status by Adobe,” said Sanjay Kukreja, Chief Technology Officer at eClerx. “This recognition reflects the growth, delivery strength, and strategic maturity of our Adobe practice. It positions us for deeper collaboration with Adobe and enables us to accelerate value creation for our clients by combining Adobe’s powerful platforms with our productized services, AI-driven capabilities, and domain expertise.”

The Gold Partner status strengthens eClerx’s ability to deliver greater value by deepening collaboration with Adobe across solution design, delivery, and innovation. Closer alignment with Adobe enablement resources, technical specialists, and product teams enables eClerx to bring the right expertise to each stage, accelerating solution design, reducing implementation risk, and addressing complex requirements more effectively. Together, these advantages help customers move faster and scale their Adobe investments with confidence.

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Podcastle Rebrands as Async, Launching a Unified AI Platform for Creators and Developers

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Reach Selects DeeperDive From Taboola, Gen AI Answer Engine Built for the Open Web, to Connect Readers with Timely, Contextual Answers for Topics They Care About

Podcastle, the AI-powered content creation platform used by millions of creators worldwide, announced its rebranding to Async. Backed by Andrew Ng’s AI Fund, Mosaic Ventures, RTP Global, Point Nine, and Sierra Ventures, with $23.5M in total funding to date.

While global sector forecasts of a 10x expansion to over 1.3 trillion USD by the mid‑2030s, driven by rising investment in creator‑led video, podcasting, and long‑form content, production workflows lag behind. With nearly half of creatives spending 50% of their week on repetitive tasks, the industry is bottlenecked by fragmentation. As video, audio, and voice converge, production workflows remain fragmented across disparate tools. Async addresses this by using AI agents to automate the “messy middle” of content creation. This strategic expansion consolidates all capabilities into a single, unified platform.

Async now unifies three core products under one infrastructure:

• For Creators: Intuitive audio and video editing, AI voice generation, and one-click repurposing, now powered by even faster, agentic models. The updated Studio helps video and audio creators produce professional, high-quality content without the friction of complex timelines.
• For Enterprise: A scalable workspace for marketing, sales, and operations teams. Async enables businesses to create branded content at scale, automate internal communications, and produce secure training materials, all within an environment built for collaboration and speed.
• For Developers (Async Voice API): A major expansion opening the company’s proprietary tech stack to the engineering world. Developers can now build voice-enabled applications, from customer support assistants to internal tools, using the same ultra-low latency, human-like voice models that rank among the top performers on Hugging Face.

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The shift to Async aligns the brand with its current technical capabilities, which now span video, code, and audio.

“The name ‘Podcastle’ served us well, but it no longer captures the scale of our technology or the ambitions of our users. The next generation of creators don’t want to edit; they want to direct,” said Arto Yeritsyan, CEO and Founder of Async. “Async is one platform where a creator can edit a video, a marketing team can scale localized content, and a developer can build a voice agent – all powered by the same low-latency, human-like AI models. We are building a future where the boundaries between content creation and code disappear.”

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The company ensures a seamless experience for existing users: all accounts, projects, pricing tiers, and billing structures remain unchanged. Users will retain access to their existing workflows while gaining access to the expanded capabilities of the Async ecosystem.

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Krikey AI Launches Advanced 3D Video Editor Tools to Revolutionize Marketing Videos for Business

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Krikey AI Launches Advanced 3D Video Editor Tools to Revolutionize Marketing Videos for Business

Krikey AI, a leader in generative 3D animation technology, announced the launch of its enhanced suite for Marketing Videos for Business. As digital attention spans continue to shrink, companies require a professional Promotional Video Maker to create high-impact, 3D animated content that drives engagement and conversion. This new video editor allows brands to transform static ideas into dynamic Animation Examples for Visual Storytelling in minutes.

Krikey AI allows brands to transform static ideas into dynamic Animation Examples for Visual Storytelling in minutes

In an increasingly crowded digital landscape, the significance of visual engagement cannot be overstated. By utilizing a professional Promotional Video Maker and exploring fresh Gen Z Graphic Design aesthetics, brands can now produce cinematic-quality Marketing Videos for Business at a fraction of the traditional cost. These tools allow marketing teams to create custom characters and immersive environments that resonate with modern audiences, ensuring their message sticks with potential customers long after the video ends.

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Artlist Debuts Its Big Game Ad Made In-House in Five Days Using AI

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Artlist Debuts Its Big Game Ad Made In-House in Five Days Using AI

Artlist, the leading AI platform for video creation, is taking the world’s biggest advertising stage with a debut commercial that defies traditional production logic. In a bold move that turns the creative process into the story, Artlist’s in-house team conceived, produced, and executed its Big Game spot using its own AI tools — all in under five days.

The campaign serves as a live proof-of-concept of the company’s cutting-edge AI technology. While traditional Big Game commercials require months of planning and shooting and million-dollar production budgets, Artlist used its AI tools to achieve broadcast-quality results in unprecedented speed.

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The ad parodies some of the best Big Game ads from 2026 that are already airing, including Fanatics, Bud Light, Budweiser, Instacart, and Pepsi. The spot gives viewers an on-set, behind-the-scenes look at a version of the ad, offering a different perspective than the original. Artlist’s debut challenges the industry status quo by proving that high-end video production is no longer gated by time, huge budgets, or access to Hollywood studios. The proof of concept campaign highlights that:

  • Speed is the new standard: What used to take months now takes days.
  • AI is production quality: The platform’s AI tools are capable of Big Game-caliber output.
  • Creativity is accessible: Anyone with an idea can now execute at the highest level.

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“We didn’t just want to make an ad; we wanted to prove the speed of execution and show that high-end video production is possible with Artlist,” said Shahar Aizenberg, CMO at Artlist. “While the soul of creativity is irreplaceable, the ‘old world’ requires months and massive budgets. With our tools, creators can now do what was once impossible. We are betting on ourselves by using our own platform to deliver a message: the future of video creation is here, it is fast, and it is accessible to everyone.”

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Mobile App Development Cost to Decrease in 2026

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Ecer.com Transforms Cross-Border B2B with Mobile-First Collaboration

Goodfirms | Las Vegas NV

Mobile apps built with AI-powered coding, automated testing and workflows are shortening the development cycles and overall cost.

Gone are those days when mobile app development was a niche, and a high-cost endeavor. Today, with a list of easy-to-access, verified application developers and advancing technologies like AI, reusable frameworks, and automated testing cycles, building a simple MVP or basic application is much cheaper and faster. In 2026, mobile app development will be more cost-efficient due to rapid advancements in AI-based mobile app development technologies and practices.

The rise of cross-platform frameworks, modular development, reusable components, automated testing and AI-assisted development tools are completely transforming the app development lifecycle reflecting the decrease in the overall mobile app development cost.

Mobile apps developed with AI-driven rapid app development methodology are proving to have clean codes, zero-bugs, and sustainability.”

— Goodfirms

Mobile app development cost has always been a big concern for small businesses as they have limited budgets. But, the new innovations and Rapid Application Development (RAD) methodology in app development are allowing them to get the best apps with latest functionalities to compete with larger and well-funded competitors. Market established mobile app development companies specialized in latest technologies and flexible delivery models are now able to provide businesses with high performing iOS and Android applications at a lower price.

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“AI is having a huge role in application development as it can reduce development time, resources, and cost,” says Goodfirms.

Why is Goodfirms the best platform to find reliable mobile app development companies offering budget-friendly app solutions?

Goodfirms is a trusted platform for service seekers to connect with verified mobile app developers. Throughout the year, Goodfirms conducts comprehensive research to accurately determine expert service providers to match the current demands of various industries. To help the sectors of businesses, Goodfirms has listed reliable and verified mobile app development companies helping sectors of industries like Startups, eCommerce, education, financial, enterprise, healthcare, real-estate, business intelligence, travel etc along with their ratings, reviews, pricing etc.

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If you are a mobile app development company, and wish to get listed in this list, and gain more visibility, do not hesitate to register at Goodfirms. Here, reviews from authentic users can help you reach the highest placement among the best service providers and grab the attention of potential prospects for better business growth.

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DeepAI Is Partnering with Truthscan to Provide AI Image Detection to DeepAI Users

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DeepAI is partnering with TruthScan to provide AI image detection to DeepAI users

New TruthScan AI image detector aims to prevent AI-fraud

DeepAI’s new partnership with TruthScan will integrate TruthScan’s software into DeepAI’s platform.

Christian Perry, CEO of TruthScan, said the partnership will help users identify AI-generated imagery as visual misinformation becomes harder to assess.

“DeepAI is an early pioneer in AI image generation, and we’re honored to be partnering with them to provide accurate AI image detection to their users,” says Perry.

We’re excited to partner with TruthScan to bring image verification to the DeepAI community.”

— DeepAI

Through the integration, DeepAI users can analyze images and determine whether they were generated using AI tools. The TruthScan feature appears as an added option inside DeepAI’s existing interface.

“Users can simply upload any suspicious image to the platform, and TruthScan’s proprietary algorithms will analyze it for signs of AI manipulation,” he said. “The results are delivered within seconds, giving users immediate clarity on what they’re looking at.”

The system evaluates digital fingerprints and visual patterns common in AI-generated images, including texture inconsistencies, lighting errors, and geometric artifacts that are difficult to detect by sight alone. TruthScan’s models have been trained on billions of data points.

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Perry said the system is updated as image-generation tools change.
“We’re constantly updating our detection methods to keep pace with advances in image generation technology,” he added.

DeepAI users can access the image detection model starting today.

A DeepAI spokesperson said the partnership aligns with the company’s focus on practical AI tools.

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“At DeepAI, we’re focused on building high-quality AI tools, and we think helping people spot AI-generated content is a really important use case,” the spokesperson said. “We’re excited to partner with TruthScan to bring image verification to the DeepAI community.”

TruthScan has already flagged viral AI-generated images that circulated online as real photographs. Perry said the goal is transparency, not limiting creative work.

“We support ethically artistic and creative applications of AI. Our aim is simply to help people know when they’re looking at AI-created content versus authentic photography.”

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AgentRush Launches as a Curated Directory for AI Agents

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AgentRush Launches as a Curated Directory for AI Agents

The release of GPT-3.5 marked a turning point in how businesses and individuals interacted with artificial intelligence. Almost overnight, AI shifted from a niche productivity experiment to an everyday operational tool. As competition accelerated, new large language models (LLMs) entered the market at record speed, each promising smarter reasoning, faster responses, and broader capabilities.

Yet despite their rapid evolution, most LLMs shared the same limitation: on their own, they weren’t designed to solve complex, end-to-end problems.
To bridge that gap, users began chaining models together—connecting prompts, tools, APIs, and logic into coordinated workflows. Platforms like no-code automation tools made it possible even for non-technical users to orchestrate these systems. What emerged from this experimentation was a new category altogether: AI agents.

The Rise of AI Agents — and the Chaos That Followed

AI agents are not just chat interfaces. They are task-oriented systems capable of executing workflows, making decisions across multiple steps, and operating with a degree of autonomy. From SEO research and content production to customer support, analytics, and internal operations, AI agents are increasingly handling work that once required entire teams.

This shift has fueled a surge in solo entrepreneurs, lean startups, and small teams building and deploying their own agents. Every day, new AI agents launch—each claiming to automate workflows faster, cheaper, or smarter than the last. But this explosion has created a new problem.

The AI agent ecosystem has become noisy, fragmented, and difficult to navigate. For every genuinely useful agent, there are dozens that are under-tested, over-marketed, or simply redundant. Users are left stuck in a familiar loop: try, fail, abandon, repeat.
In a market moving this fast, experimentation is no longer just expensive—it’s a liability.

Discovery Is the New Bottleneck

The core challenge today isn’t access to AI agents. It’s discovery and trust.
With thousands of tools competing for attention, knowing which AI agents actually work—and which are worth integrating into real workflows—has become the biggest bottleneck for adoption. Traditional app marketplaces and product listing sites aren’t built for this level of complexity, nor do they offer meaningful validation.

This challenge is especially visible inside agencies and marketing teams.
For agencies, every new AI agent represents both opportunity and risk. A tool that performs well in isolation can break under real client workloads, fail to integrate with existing stacks, or introduce reliability issues that damage trust with customers. As a result, many agencies are caught between pressure to “move faster with AI” and the operational risk of deploying unproven tools.

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Marketers face a similar dilemma. The promise of AI agents—automated research, content production, campaign optimization, reporting—is compelling, but the cost of choosing the wrong tool is high. Time spent testing underperforming agents doesn’t just slow execution; it delays results, fragments workflows, and fuels skepticism toward AI-driven solutions altogether.

In both cases, the problem isn’t experimentation itself—it’s unstructured experimentation.

This is where a curated approach becomes essential.

A vetted AI agent directory introduces a missing layer of confidence into the decision-making process. Instead of forcing agencies and marketers to rely on marketing claims or social media hype, curation helps surface AI agents that have already demonstrated real-world usefulness. It transforms discovery from a gamble into a more informed, strategic choice.

How AgentRush Fits Into the AI Agent Economy

AgentRush positions itself as an AI agent directory built specifically to solve the discovery problem. Rather than functioning as an open submission marketplace, AgentRush focuses on listing AI agents that have gone through a vetting process—prioritizing functionality, real-world use cases, and practical value.

In an ecosystem increasingly described as an “AI agent landfill,” AgentRush operates as a filter.

The platform curates and categorizes AI agents across different business functions, helping users quickly identify tools that are actually usable—not just theoretically impressive. The emphasis isn’t on hype or speculative promises, but on agents that can be applied to real workflows today.
By reducing the cost of trial-and-error, AgentRush shortens the distance between curiosity and implementation.

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Why Vetting Matters More Than Ever

As AI adoption accelerates, time becomes the most valuable resource. Teams don’t just need more tools—they need confidence. Every failed experiment erodes trust, slows momentum, and increases skepticism toward AI as a whole.
A vetted AI agent directory changes that dynamic.

Instead of forcing users to test dozens of agents blindly, platforms like AgentRush help narrow the field to solutions that have already demonstrated utility. This doesn’t eliminate experimentation—but it makes experimentation efficient.
In practice, this means fewer broken workflows, fewer abandoned pilots, and faster paths to ROI.

The Next Phase of AI Adoption

We are entering a phase where AI success is no longer defined by access to models, but by orchestration and selection. The winners won’t be the teams with the most AI tools, but the ones using the right agents for the right jobs—integrated into workflows that actually scale.
As AI agents continue to multiply, discovery platforms will play a critical role in shaping how the ecosystem matures. Without trusted directories and vetting layers, innovation risks collapsing under its own weight. Tool overload leads to fragmented stacks, duplicated efforts, and declining confidence in AI as a whole—especially inside teams that are accountable for performance, not experimentation.

This shift marks a broader transition in the AI economy: from capability-driven adoption to outcome-driven adoption. In the early stages, novelty was enough. Today, reliability, interoperability, and proven usefulness matter more than raw intelligence.

AgentRush represents an early signal of where the market is heading—away from raw abundance and toward curated intelligence. By prioritizing discovery, evaluation, and relevance, platforms like this introduce much-needed structure into an otherwise chaotic landscape.
In the AI era, knowing what to use matters just as much as knowing how to use it. And increasingly, competitive advantage will belong to those who can navigate complexity—not by adding more tools, but by choosing better ones.

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Asia-Pacific Loyalty Awards Reveal Surge in Innovation

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Asia-Pacific Loyalty Awards Reveal Surge in Innovation

As brands face increasing pressure to retain customers in a volatile economic environment, loyalty has become a critical strategic battleground. The finalists announced today for the 2026 Asia Pacific Loyalty Awards demonstrate how leading organisations across the region are driving stronger customer engagement, trust and long-term value.

The Asia Pacific Loyalty Awards (APLAs), has recorded a whopping 50% increase in entries from Australia, New Zealand and across the broader Asia Pacific region. This surge reflects the growing importance of loyalty campaigns as a strategic driver of both customer and commercial outcomes.

Hosted by the Australian Loyalty Association (part of Loyalty Group APAC), the Awards continue to set the benchmark for best practice in loyalty strategy, innovation and customer experience across the Asia Pacific region.

Building on the strong momentum of previous years, the 2026 program, This year’s Awards span 18 categories, including Best Overall Loyalty Program across Retail, Financial Services, QSR and Travel, as well as Best Use of Digital Technology, Best Use of AI, and Best Social or Sustainability Initiative. All submissions were assessed by an independent panel of senior loyalty, marketing and customer experience experts from across APAC.

Among this year’s finalists are some of the most recognisable brands across the Asia Pacific region. Featured shortlisted organisations include, Z Energy, Accor Hotels, Commonwealth Bank, Westpac, Woolworths Group, Flybuys, Telstra, Virgin Money, Myer, David Jones, Genesis Energy, McMillan Shakespeare, Dan Murphy’s, Priceline, The Distributors, The Iconic, Mitre 10, NRMA, IGA, Motor Culture, Prezzee, Adore Beauty, Luxury Escapes, Red Rooster, Schnitz, One New Zealand, Bridgestone Tyres, AAMI and Foodstuffs. Together, they reflect the depth, diversity and maturity of loyalty innovation across retail, financial services, travel, hospitality, energy and telecommunications.

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This year’s submissions were supported by a range of leading loyalty, technology and service partners, including Mastercard, Eagle Eye, Ellipsis, Ascenda, Simplicity Loyalty, Wink, Talon.One, Gratifii and Tall Bob.

The outcome of the awards is aligned with the latest trends in loyalty growth across APAC. Recent data shows the loyalty market in Asia Pacific is expected to grow by 16.3% on an annual basis to reach USD$35.83 billion in 2025. The loyalty market in Asia Pacific is forecast to continue to grow over the forecast period and is expected to record a CAGR of 13.8% during 2025-2029. In fact, the loyalty market is expected to increase from US$30.81 billion in 2024 to reach US$60.03 billion by 2029.

From a technology standpoint, the latest research also shows loyalty programs in Asia-Pacific are evolving toward super apps, gamification, AI-driven personalisation, and fintech integrations. The region is witnessing a rise in coalition loyalty models, subscription-based rewards, and ESG-linked incentives driven by digital transformation and changing consumer behaviors. Over the next few years, businesses that align loyalty strategies with digital ecosystems, sustainability efforts, and AI-powered engagement will lead to customer retention and long-term brand loyalty in APAC.

Sarah Richardson, CEO of the Australian Loyalty Association, said the calibre of loyalty programs in the region continues to rise alongside the expanding regional footprint of the Awards.

“The quality of submissions received for the 2026 Asia Pacific Loyalty Awards has been exceptional, with particularly strong growth from New Zealand and across the broader Asia Pacific region. As the New Zealand Loyalty Association and the Southeast Asia & India Loyalty Associations continue to grow, the Awards will become larger, more relevant and increasingly prestigious. This year’s finalists exemplify how loyalty has evolved beyond traditional programs to deliver meaningful, long-term value for both customers and organisations.”

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

Miranda Bliss, Head of Loyalty at Miele, added:

“The quality of submissions clearly demonstrates how critical loyalty programs have become. Organisations are moving beyond just points-based models to build emotional engagement. As brands seek better data to deliver highly personalised and relevant experiences, loyalty teams are providing the infrastructure that enables this transformation.”

Winners will be announced at the Asia Pacific Loyalty Awards Gala, taking place on 19 March 2026 at Sofitel Melbourne, one of the region’s largest gatherings of loyalty, marketing and customer experience leaders.

Tickets to the Gala Event are available via the Australian Loyalty Association website.

Founded in 2008, the Australian Loyalty Association (ALA) is an esteemed organisation dedicated to providing thought leadership, educational resources, and networking opportunities to professionals within the loyalty industry.

The ALA currently boasts a membership base exceeding 4,500 individuals, including Chief Marketing Officers (CMOs), Chief Customer Officers (CCOs), Loyalty Managers, Marketing Directors, as well as professionals specialising in Insights, Technology, Customer Relationship Management (CRM), AI and Analytics. The ALA Advisory Board is composed of prominent loyalty experts from leading brands and loyalty service providers.

The ALA encompasses a diverse range of initiatives, including its Accredited Customer Loyalty Courses, the Asia Pacific Loyalty Conference, the Annual Loyalty Insights Report, the Loyalty Marketplace, the Young Members program, News and Content Hub, and Brand Membership.

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Innovative Solutions Launches DarcyIQ MCP Studio to Streamline Operations by Connecting AI Agents with Critical Business Systems

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Innovative Solutions Launches DarcyIQ MCP Studio to Streamline Operations by Connecting AI Agents with Critical Business Systems

The New Feature Enables the AI-Native Platform to Connect Systems in Minutes and Eliminates the Need for Costly Customer Integrations

Innovative Solutions, the fastest growing Amazon Web Services (AWS) Premier Tier Services Partner that delivers AI and data services to growing businesses, announced the launch of DarcyIQ MCP Studio, a revolutionary new feature of the DarcyIQ platform that enables businesses to connect their AI agents to critical business systems through custom Model Context Protocol (MCP) integrations. This breakthrough capability eliminates the traditional months-long development cycles and six-figure costs associated with building custom AI integrations, delivering production-ready solutions in minutes for a fraction of the cost.

The business impact of DarcyIQ MCP Studio extends far beyond technical integration. Customers have experienced immediate returns through dramatic time savings and operational efficiency gains, which have proven to deliver a 4x return on investment. Most of these organizations, which deployed 3-5 integrations, realized six-figure annual savings in labor costs alone.

“Our customers have seen DarcyIQ MCP Studio deliver immediate ROI,” said Travis Rehl, CTO of Innovative Solutions. We built DarcyIQ MCP Studio because we saw our clients struggling with the same problem: they had powerful AI capabilities and robust business systems, but no efficient way to connect them. “Traditional integration approaches either take months to develop in-house or rely on simple automation tools that can’t handle the complexity of AI-native workflows. DarcyIQ MCP Studio changes that equation entirely.”

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Breaking Down Data Silos with Agent-Native Integration

Most organizations invest heavily in business systems, such as CRM platforms, marketing automation, support tools, and project management software, that operate in silos. As a result, countless hours are spent manually moving data between systems, while AI assistants remain disconnected from the business context they need to deliver real value. DarcyIQ MCP Studio solves this fundamental challenge by creating intelligent bridges between AI and existing business systems.

Real-world applications demonstrate the platform’s versatility across business functions. Sales teams gain instant access to deal intelligence pulled from CRM systems, support tickets, and communication platforms. Operations managers generate automated dashboards combining data from payment processors, project management tools, and customer databases. Executive teams receive unified revenue metrics synthesized from multiple business systems in real-time.

Complete Integration Platform with Agent-Assisted Development

DarcyIQ MCP Studio provides a comprehensive environment for building, deploying, and managing AI integrations without requiring specialized development expertise. The platform features AI-assisted code generation that translates plain English descriptions into working integration code, a full-featured visual code editor with real-time validation, secure secrets management for credential protection, and one-click deployment to production infrastructure.

Organizations can choose between building custom integrations tailored to their specific needs or deploying from a catalog of 50+ pre-built integrations for popular business systems. Custom integrations support both Python and Node.js runtimes, providing flexibility for any use case from data processing to real-time API interactions.

“The beauty of DarcyIQ MCP Studio is that it meets organizations where they are,” Rehl explained. “If you need a Salesforce or Slack integration, you can deploy it in minutes from our catalog. If you have a proprietary system or unique workflow, our AI-assisted builder helps you create exactly what you need without starting from scratch.”

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Competitive Advantage Through Speed, Simplicity, and Security

DarcyIQ MCP Studio’s value proposition becomes clear when compared to alternative approaches. Building integrations in-house typically requires months of development time and significant costs in addition to ongoing maintenance overhead. Generic automation platforms like Zapier handle simple trigger-action workflows but cannot support the intelligent decision-making and complex orchestration that AI-native workflows require.

DarcyIQ MCP Studio delivers working integrations in minutes at 10% of the cost, with all maintenance and updates included.  The platform handles the technical complexity while business users interact with AI naturally through conversational interfaces. This eliminates the technical debt of custom code while gaining capabilities that far exceed simple automation tools.

Additionally, DarcyIQ MCP Studio was built with enterprise-grade security and compliance within the platform’s architecture. Customers maintain granular control over data access permissions, with the option to deploy integrations directly into their AWS environment for maximum security. When deployed to an organization’s AWS accounts, data never leaves its infrastructure, ensuring compliance with industry regulations and corporate security policies. All integration actions are fully logged and auditable, providing complete visibility and control.

Getting Started and Availability

DarcyIQ MCP Studio is available immediately to all DarcyIQ customers and new organizations of all sizes. The platform offers 24 hours of free production testing for custom integrations, allowing organizations to prove ROI before committing to deployment. Development environments are always free, enabling unlimited testing and iteration at no cost.

AWS customers are eligible to access DarcyIQ MCP Studio integrations through AWS funding programs, including POC funding for proof-of-concept deployments and GenAI Production Ready funding for production implementations. These programs can offset 50-100% of initial costs, making enterprise-grade AI integration accessible to organizations of all sizes.

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Q1 Is a Critical Window for Brand Loyalty as AI Changes How Consumers Shop

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Reach Selects DeeperDive From Taboola, Gen AI Answer Engine Built for the Open Web, to Connect Readers with Timely, Contextual Answers for Topics They Care About

Attentive Logo

Attentive Publishes Two New Reports that Show Consumers Want More Personalization and Are Embracing AI-Powered Shopping

Attentive®, the omnichannel marketing platform for 1:1 personalization redefining how brands and people connect, released findings from two new surveys revealing Q1 as a critical window for brands to engage new shoppers. The research shows now is the time to build brand affinity and turn Black Friday/Cyber Monday first-time buyers into repeat customers.

Brands have a major opportunity in Q1 to boost loyalty and retention as AI reshapes the buyer journey, according to new Attentive surveys.

The 2026 State of Loyalty and Retention report examines how consumers are spending and the factors that earn their loyalty. The January 2026 Consumer Pulse dives into economic sentiment, shifts in spending behavior, and AI’s impact on the consumer buyer’s journey.

“By combining frequent consumer and marketer pulse surveys with aggregated data from more than 8,000 brands, we’ve built a deep understanding of evolving consumer needs, expectations, and behavior,” said Keri McGhee, Chief Marketing Officer at Attentive. “We use these insights to help brands engage customers in more authentic ways that drive connection, retention, and loyalty, even more critical as AI plays a larger role in the overall shopping experience.”

The retail journey has seen fundamental shifts in recent years, from the introduction of e-commerce to the rise of direct-to-consumer brands. Now, AI is poised to reshape how consumers discover products, engage with brands, and buy.

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AI Gives Brands a New Edge in Personalization and Retention

According to the January 2026 Consumer Pulse survey, consumers are open to AI-powered brand experiences. Seventy percent are using AI to help with shopping, from discovery to conversion, and usage is increasing quickly across older generations as well. 45% of baby boomers report using AI-powered shopping tools, up from 34% during the 2025 Black Friday/Cyber Monday shopping period.

Consumers are also increasingly comfortable with brands using AI to enhance their experiences. Sixty percent of shoppers say they’re open to AI-driven personalization, signaling growing trust as AI investments accelerate across the marketing industry. For brands, this opens the door to faster, more intuitive, and relevant product recommendations, creating experiences that are genuinely tailored to a customer’s unique shopping needs. Brands have the power to use AI to scale message relevance and match content type to the right channel—for example, email for storytelling, SMS for immediate action, and push for in-app engagement.

“SMS is our most strategic way of curating the conversational commerce experience for our shoppers,” said NJ Falk, Managing Partner, APL. “It’s the highest form of personalization and has created an ongoing dialogue with our customers. They become loyal brand advocates because they feel heard by APL.”

Q1 Repeat Purchases Will Define Long-term Brand Loyalty

While deals may easily spark initial conversions, earning a lasting place on a shopper’s shortlist requires consistent value and a seamless experience. This becomes more important than ever in Q1. Coming off the holiday shopping rush, brands need to differentiate and build trust and loyalty as AI-driven shopping assumes a greater role in the buyer’s journey.

Shoppers remain willing to come back for a second purchase if brands get the experience right. Nearly three-quarters (73%) of consumers say they expect to buy again from at least some of the new brands they discovered over the holiday shopping season. Data shows shoppers are drawn to high-quality, reliable products and strong promotional deals, but friction in the shopping experience pushes them away, giving brands a clear roadmap to drive repeat purchases.

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United Rentals Empowers Frontline Decision-Making with Business Intelligence Agent Built on Snowflake

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United Rentals Empowers Frontline Decision-Making with Business Intelligence Agent Built on Snowflake

Snowflake Inc. Logo

Fortune 300 leader is deploying AI agents on Snowflake to help teams across 1,600+ branches make faster, data-driven decisions

  • United Rentals has rolled out a new Business Intelligence Agent powered by Snowflake Intelligence that employees use to analyze financial and operational data and get real-time insights through natural-language queries

  • United Rentals is leveraging Snowflake Cortex Code to speed up the development, testing, and iteration of additional AI agents, built on the same underlying data and controls

  • With Snowflake as its secure, governed data foundation, United Rentals is accelerating AI innovation across the business while maintaining trust, consistency, and control at scale

Snowflake , the AI Data Cloud company, announced that United Rentals, widely recognized as the world’s largest equipment rental provider, has rolled out a new AI agent built on Snowflake Intelligence to operational teams working across 1,600+ branches. The Business Intelligence Agent allows branch managers, sales leaders, and regional teams to ask questions of their company data in plain language, drill down, and get actionable information quickly.

The deployment gives employees a more flexible, conversational way to interact with company data across financial and operational functions. Since rolling out earlier this year, United Rentals has seen steady growth in adoption and repeat usage. This approach highlights how AI can enhance business insight for industrial services companies managing large fleets and geographically distributed teams.

“Our innovation vision is to apply technology in ways that strengthen our operational processes and help our people do their jobs more effectively,” said Tony Leopold, Chief Technology and Strategy Officer, United Rentals. “Snowflake helps us build on our existing data foundation with a trusted, governed platform. With Snowflake Intelligence, employees can use natural language to better understand their data, discover actionable insights, and make more informed decisions.”

“United Rentals is using Snowflake Intelligence to give employees clearer, faster answers in the moments that matter most,” said Mike Gannon, Chief Revenue Officer, Snowflake. “By enabling frontline teams to ask natural language questions and get real-time, trusted answers without waiting on manual analysis, they’re embedding intelligence directly into daily decision-making. In large, complex organizations, it’s this consistent, governed intelligence that separates AI that truly works from AI that doesn’t.”

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How United Rentals Is Scaling Trusted, AI-Driven Decisions with Snowflake Intelligence

Leveraging Snowflake, United Rentals unified financial operations, fleet and telematics data, pricing, contracts, accounts receivable, and internal documentation into a single governed platform, creating a stronger foundation to extend trusted insights and AI across the enterprise. This approach allows analysts to continue querying data and building visualizations while also enabling business users to ask questions in real time, reducing manual effort and accelerating decision-making across the organization.

Powered by Snowflake Intelligence, United Rentals’ Business Intelligence Agent allows employees to interact directly with their data and understand not just what is happening but why. This natural-language experience uses United Rentals’ governed enterprise data and shared business definitions, such as how metrics are calculated or how performance is measured. This also ensures that the answers are consistent, explainable, and aligned with how the company runs its operations. Every response respects existing data access controls, so users only see the information they are authorized to view.

Snowflake Intelligence is helping teams at United Rentals move faster and operate with greater confidence, giving leaders and frontline teams a shared understanding of the business. By turning trusted data into immediate, explainable answers, Snowflake is enabling more consistent decisions across hundreds of locations.

Building and Scaling Additional Agents with Snowflake Cortex Code

In parallel with the Business Intelligence Agent, United Rentals is using Snowflake Cortex Code, a data-native AI coding agent that automates and accelerates end-to-end enterprise development, to build, test, and maintain additional internal AI agents. Cortex Code helps United Rentals translate business logic and data context into production-ready AI apps, reducing the time from prototype to deployment.

Cortex Code builds evaluation sets and runs automated tests as part of its development process, enabling reliability and performance as AI experiences scale. This allows teams to iteratively improve both models and supporting logic, validate changes before new capabilities are released, and ensure consistent behavior as usage scales.

While Snowflake Intelligence powers day-to-day decision-making for frontline teams, Cortex Code enables United Rentals to improve the quality, reliability, and speed of development for additional agents those teams rely on.

United Rentals’ Business Intelligence Agent is the first of several AI apps developed on Snowflake using Snowflake Intelligence and Cortex Code. Additional agents are already in progress for equipment health, telematics, and other internal operational use cases. Together, these efforts are supercharging how United Rentals operates, laying the foundation for more intelligent, AI-driven decision-making across the organization.

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MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

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MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Omri Shtayer highlights more on how Similarweb’s latest Manus Integration boosts their marketing intelligence layer:

_______

What are the highlights of the Manus integration?

Our data is the fuel for the Manus aircraft, allowing Manus to generate actionable analysis. This integration gives the Manus AI agent direct access to authoritative digital market intelligence, enabling decision-critical work such as market analysis, competitive benchmarking, and growth planning. By combining Manus’s agent capabilities with Similarweb’s view of real-world digital behavior, AI-driven analysis becomes more consistent, defensible, and aligned with actual market dynamics rather than inferred signals or speculation.

What are some of the biggest misconceptions around data-driven marketing processes?

Knowledge. We believe LLMs know everything. That’s an illusion. One of the biggest misconceptions is that AI-driven marketing decisions can be trusted without equal attention to the quality and authority of the underlying data. We need to challenge the conclusions reached by agents as we do with humans. As AI agents move beyond insights and into planning and execution, weak or unvalidated data doesn’t just create noise, it creates risk. We need to provide all the context the agents need in order to really drive value.

Another common misconception is that internal or first-party data alone is sufficient. In reality, effective data-driven marketing increasingly requires external market intelligence, like Similarweb’s proprietary digital data, to provide context, benchmark performance, and prevent AI systems from reinforcing narrow or biased views of the market.

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In today’s agentic AI era, what should modern marketers keep foremost in mind?

Us. Humans are still an important part of the process. As AI agents begin to handle decision-critical work such as market analysis, competitive assessment, and growth planning, the primary focus must shift from doing to managing. We should guide the agents and manage them like we do employees. We need to provide clear instructure, help them formalize the inputs and data needed for the task and guide them through the expected output.

The best results will come from human/agent collaborations – with the right data and context.

What trends will shape the overall marketing and martech sphere through 2026?

AI is moving out of the experimental phase and into the core of everyday marketing workflows, particularly as agentic systems begin supporting planning and decision-making, not just execution.

As this shift accelerates, marketers will place greater emphasis on validating AI-driven insights with their own knowledge and guidance alongside trusted, third-party market intelligence to reduce risk and increase confidence. At the same time, the ecosystem itself is evolving. The most effective platforms will be those designed to work together, allowing data, agents, and tools to interoperate rather than operate in isolation.

Five martech thoughts you’d leave our readers with before we wrap up?

First, Data is the fuel, AI is the engine, agents are the aircraft. As AI agents take on more strategic responsibility, the industry must prioritize grounding those systems in trusted data. This is essential for making AI-driven decisions more reliable and repeatable.

Second, partnerships between AI platforms and data providers will define the next phase of martech. No single system can do everything well in isolation, and interoperability will be key to real outcomes.

Third, moving from experimentation to execution requires reducing risk, not just increasing speed. Integrations like this help ensure AI outputs are based on market reality, not assumptions.

Fourth, this shift benefits the entire ecosystem by setting a higher bar for transparency and accountability in AI-powered marketing tools. That ultimately builds confidence for practitioners.

And finally, the future of marketing will be shaped by human/AI collaboration that is outcome-driven. When humans are able to operate agents, at scale – strategy becomes reality

File:Similarweb Logo.svg - Wikimedia Commons

Similarweb powers businesses to win their markets with Digital Data. By providing essential web and app data, analytics, and insights, we empower our users to discover business opportunities, identify competitive threats, optimize strategy, acquire the right customers, and increase monetization. Similarweb products are integrated into users’ workflow, powered by advanced technology, and based on leading comprehensive Digital Data.

About Omri Shtayer:

Omri Shtayer is the VP of Data and DaaS Products at Similarweb, specializing in leveraging structured, real-time data to empower enterprise AI decision-making.

Teradata Brings Enterprise-Grade AI Agents to Google Cloud Marketplace

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Teradata Brings Enterprise-Grade AI Agents to Google Cloud Marketplace

Accelerate AI-driven insights with Teradata’s secure, interoperable AI agent—now available on Google Cloud Marketplace

Teradata announced the availability of its foundational enterprise-grade Data Analyst AI agent on Google Cloud Marketplace, enabling organizations to integrate advanced analytics and agentic AI capabilities into their cloud environments more seamlessly.

Deploy Teradata Data Analyst Agent Directly in Google Cloud
With this launch, customers can deploy the Teradata Data Analyst Agent—an enterprise-ready AI agent designed to accelerate analytics and serve as the foundation for future multi-agent use cases—directly within Google Cloud. This eliminates costly data movement and accelerates time-to-value for AI-driven decision making.

Built on the Teradata Enterprise MCP (Model Context Protocol) and leveraging Google’s Agent Development Kit (ADK), this agent delivers multi-turn conversational analytics, secure pushdown processing, and real-time insights—all without moving data.

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About Teradata Data Analyst Agent
The Teradata Data Analyst Agent orchestrates complex SQL queries on Teradata Vantage and performs iterative statistical analysis using Python within Google Cloud. It autonomously interprets user actions, adapts to existing data models, and maintains conversational context for progressive exploration—delivering actionable insights without requiring data movement.

Key Benefits of Teradata AI Agents on Google Cloud Marketplace

  • Seamless Integration: Works effortlessly with existing Teradata Vantage environments and Google Cloud services.
  • Enterprise-Grade Reliability: Built-in governance to help ensure compliance and security at scale.
  • Faster Time-to-Value: Prebuilt workflows and agentic flows accelerate deployment and insights.
  • Cost Efficiency: Reduce upfront investment and leverage shared innovation for lower TCO.
  • Customizable AI Services: Expert support to adapt agents for unique workflows and business needs.

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Executive Quotes
“We are relentlessly focused on empowering enterprises with AI that works where their data lives,” said Sumeet Arora, Chief Product Officer at Teradata. “By bringing Teradata’s AI agents to Google Cloud Marketplace, we’re removing integration barriers and enabling customers to unlock advanced analytics faster, securely, and at scale.”

“Bringing Teradata’s AI agents to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the enterprise-grade AI agents on Google Cloud’s trusted, global infrastructure,” said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. “Teradata can now securely scale and support customers who want to integrate advanced analytics and agentic AI capabilities into their cloud environments more seamlessly.”

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The Enterprise AI Reality Check: High Ambitions Meet Operational Barriers

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The Enterprise AI Reality Check: High Ambitions Meet Operational Barriers

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The majority of leaders agree that to make Enterprise AI work, they need processes that work and operational context to ground AI in their business reality.

Celonis, a global leader in Process Intelligence, a key enabler of Enterprise AI, released new research that reveals a critical gap between enterprises’ agentic AI ambitions and their operational readiness.

85% of organizations want to be an “agentic enterprise” in three years – however, a large majority (76%) admit that their current processes are holding them back.

Results from the 2026 Process Optimization Report (which surveyed* over 1,600 global business leaders) show that most businesses are aggressively pursuing an AI-driven future—85% of organizations want to be an “agentic enterprise” in three years. However, a large majority (76%) admit that their current processes are holding them back.

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To act autonomously and effectively, AI agents need optimized, AI-ready processes and the process data and operational context that only comes from process intelligence. Without both, AI agents can’t understand how a business actually runs or know how to improve it. And 82% of decision-makers believe AI will fail to deliver return on investment (ROI) if it doesn’t understand how the business runs.

Additional key findings from the report include:

  • Ambition is high: 90% of organizations are already using or exploring multi-agent systems to automate complex decision-making.
  • Expertise and context are top hurdles: The top 2 barriers to adoption: internal expertise (47%), difficulty of getting AI to understand business context (45%).
  • Silos block effective AI deployment: 58% of process and operations leaders report that their departments still do not operate seamlessly together, preventing the end-to-end visibility required for effective Enterprise AI.
  • Competitive urgency: 89% of leaders view AI as their single biggest opportunity to compete in the market.

To bridge the gap between ambition and reality, organizations must move beyond isolated automation. The findings suggest that for AI to navigate the complex reality of the business—rather than just execute isolated, simple tasks—it must be grounded in Process Intelligence. This provides the “common language” that allows AI agents to understand how work flows across departments and systems, identify friction points, and execute actions that drive genuine business outcomes.

“While business leaders are leaning boldly into an agentic AI future, the reality is that many are struggling to translate that ambition into tangible ROI right now,” said Carsten Thoma, President and Board Director at Celonis. “For AI to truly work for the enterprise, it needs more than just data—it needs operational context. By using Process Intelligence to give AI a shared understanding of how a business actually runs and how to improve it, we’re finally turning that ambition into continuous, measurable value.”

To explore findings further and learn how organizations are building AI-ready operations, read the full 2026 Process Optimization Report. An executive summary and specific data sheets for leaders in IT, Supply Chain, and Finance and Shared Services are also available.

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RingCentral Recognized as a Top Provider in Metrigy’s 2025 MetriStar UCaaS Report

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RingCentral Recognized as a Top Provider in Metrigy’s 2025 MetriStar UCaaS Report

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Earns top scores in customer sentiment, voice quality, security, value, analytics, AI capabilities, and ease of use

RingCentral, Inc. , a global leader in AI-powered business communications, announced that it has been named a Top Provider for Unified Communications as a Service (UCaaS) in Metrigy Research’s 2025 MetriStar UCaaS Report. One of only three providers to be recognized at this level, RingCentral achieved the highest overall customer sentiment score in the study, and rated above average in every evaluated category, including voice quality, security, value, analytics, AI capabilities, and ease of use.

“Recognition like the MetriStar Top Provider Award is especially meaningful because it is grounded in real-world customer experiences,” said Ashu Varshney, SVP UCaaS Products, RingCentral. “Based on direct feedback from hundreds of IT leaders globally, this report highlights how RingCentral delivers measurable business impact through innovation, AI-powered communications, and exceptional customer support.”

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RingCentral customers recognized the Company’s above-average performance across all three business success metrics, including highest productivity improvements among evaluated providers, highest revenue increases, and second-best cost savings overall.

“In our global study, RingCentral distinguished itself by enabling customers to achieve the highest business success in the areas of revenue creation, ROI, and employee productivity among all evaluated vendors,” said Irwin Lazar, President and Principal Analyst, Metrigy. “RingCentral’s score for customer response time was among the highest of all vendors. By successfully integrating advanced AI capabilities with a reliable, global communications suite, RingCentral isn’t just providing a tool; they are driving measurable success that resonates with IT leaders and end-users alike.”

The 2025 MetriStar UCaaS Report is based on Metrigy’s global Workplace Collaboration MetriCast 2025 study, which surveyed 775 IT leaders in 10 countries who are actively using UCaaS solutions. Beyond customer sentiment ratings, Metrigy evaluated how providers’ offerings correlate with measurable improvements in revenue, cost savings and employee productivity, providing a data-driven view of customer success. The research also highlights key UCaaS market trends, including organizations reevaluating three-year UCaaS renewals and prioritizing operational cost reduction, contact center integration, security and compliance and overall solution value, alongside increasing openness among Microsoft Teams Phone users to consider alternative providers amid pricing and packaging changes.

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