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Bell Integration Wins NICE’s Implementation Partner of the Year for CX Innovation and AI-Led Transformation

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BFJ Digital Outlines the ‘Human-First’ Framework for AI Integration in Modern Marketing Teams

Bell Integration logo colour

This award reinforces Bell as a key enabler of AI-powered customer experience on NICE CXone.

Bell Integration has been awarded Implementation Partner of the Year by NICE, recognising exceptional contributions to expanding the global adoption of CXone Mpower, NICE’s AI-driven customer service platform.

This collaboration brings together two industry innovators to accelerate the adoption of AI technologies, enhancing customer experience and operational efficiency in contact centres worldwide.”

— Faisal Abbasi, AI & Data Executive Director

Winners are selected for their expertise, demonstrated through advanced certifications, and their ability to deliver innovative, high-impact solutions.

A Partnership Designed to Deliver End-to-End Transformation
“This collaboration brings together two industry innovators to accelerate the adoption of cutting-edge AI technologies, enhancing customer experience and operational efficiency in contact centres worldwide. Our strategic relationship with NICE continues to expand as we deliver complete solution, including NICE CXone and Enlighten, to our customers.” – Faisal Abbasi, AI & Data Executive Director, Bell Integration

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With more than 350 AI practitioners, Bell brings extensive experience in accelerating business transformation through intelligent, scalable AI solutions, including agentic AI and orchestration. This expertise enables us to fully understand and deliver the value of the NiCE Cognigy solutions.

“Bell Integration’s partnership with NiCE is a genuine pleasure. They are a true strategic partner and a fantastic organisation to work with. Our shared vision for the future of customer experience, built around an AI first strategy, is closely aligned.” – Erika Sullivan-Pond, Partner Manager, Bell Integration.

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Bell Integration is a NICE CX AI Gold Partner.

Business Benefits
• Improvement of customer experience throughout a unified engagement journey
• Maximising customer satisfaction with a great experience at every interaction
• Boosting agent productivity and operational efficiency
• Seamlessly managing information and gaining insights

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Storyblok Introduces FlowMotion to Turn Every Content Update Into an Automated Workflow

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Storyblok Introduces FlowMotion to Turn Every Content Update Into an Automated Workflow

75% of marketers lose at least one workday each week to content coordination. FlowMotion automatically coordinates activities across systems in minutes from a single content trigger.

Storyblok announced the release of FlowMotion, a new CMS automation and orchestration layer designed to help marketers and developers turn content changes into reliable, governed execution across the entire digital and AI ecosystem.

A content update rarely ends at publish. One change can trigger approvals, localization, rollouts, catalog updates, search re-indexing, and more. Teams automate parts of this, but the coordination still happens in Slack, spreadsheets, and scripts. As content speeds up, markets expand, and AI consumes updates instantly, that manual glue creates delays, risk, and rework.

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New research with 200 marketers working with global brands highlights the scope of the problem:

  • 75% of marketers reported spending 6+ hours per week coordinating content work such as approvals, follow-ups, and routing content between systems
  • 71% agreed their tools do not communicate well with each other
  • 90% said they do not have end-to-end workflow coordination
  • Half of the 200 respondents said content updates go live late, incomplete, or inconsistently across channels or regions
  • 84% of marketers say governance would increase trust in AI for everyday content workflows

A parallel survey of 200 developers working with global brands shows they feel the drag from the other side:

  • 88% reported that implementing new automation workflows takes more than a week, with 37% saying it takes more than a month
  • 78% said their teams spend more than 10% of engineering time maintaining integrations, scripts, and workflows
  • Only 8% reported having centralized and observable workflow logic today

FlowMotion is built to close these gaps by connecting Storyblok content events to event-driven workflows that run across tools, teams, and regions with visibility and control.

Built on a fully managed, single-tenant n8n instance with 500+ integrations, FlowMotion turns events in Storyblok such as create, update, approve, translate, schedule, and publish into workflows that can sequence actions, pause for human approvals, enforce governance rules, and execute only where relevant.

“Within just a few weeks, we were able to turn a complex, manual content synchronization challenge into a fully automated workflow,” said Christopher Bergdahl, Product Owner Web at Systemair. “Previously, this required a mix of manual updates and custom scripts across different systems and markets. With FlowMotion, we will now handle this automatically, which significantly reduces complexity and frees up time for more valuable work.”

Workflows are versioned, observable, and debuggable, with audit trails that support enterprise governance requirements and help teams understand what ran, what changed, and what happens next.

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This means that:

  • A pricing update can trigger legal review only in regulated regions
  • Localization can run only where content is reused
  • Storefront changes can roll out in stages across markets
  • CRM and sales tools can sync after approval
  • Support tools can stay aligned when FAQs and docs change
  • AI enrichment, tagging, summarization, and routing can run as part of the workflow, using the customer’s own API keys where appropriate, with clear control over when AI runs and how outputs are reviewed

“FlowMotion gives teams and autonomous agents a clear, reliable way to run approvals, handoffs, system updates, and AI steps without relying on manual coordination,” said Dominik Angerer, CEO and Co-Founder of Storyblok. “Teams can design workflows visually and trigger them via MCP, and extend them with code when needed, while keeping orchestration logic centralized instead of spread across scripts, webhooks, and individual tools.”

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BRX Group Launches CM.OSX™ to Support Organisations Through AI-Driven Change

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BRX Group Launches CMO.OSX™ to Support Organisations Through AI-Driven Change

 

BRX

BRX Group announced the launch of CM.OSX™ and the appointment of Alison McKinnon as founding Managing Partner.

CM.OSX™ stands for Critical Marketing Operating Systems. It is designed to help CMOs, Marketing teams and In-House Agency functions make the right choices when it comes to the accelerated change brought on by AI.

BRX Group CEO Bridget Cleary said, “BRX has been the market leader in helping enterprise brands across Australia build brand value, reduce costs through automation, and lead the market in AI adoption at scale.

Many CMOs tell us they’re under growing pressure to deliver the efficiency and effectiveness promised by AI, but lack clarity on where to start, how to make the right choices, and how to train their teams to keep pace with change.

We have seen growing demand to help marketing teams build smarter workflows, automate routine tasks, develop responsible AI capabilities within their governance frameworks, and embed automation.

It was a logical next step to package it as a standalone service and we could think of no-one more qualified to deliver the CM.OSX™ promise than Alison McKinnon.”

McKinnon is a proven strategic marketing and transformation leader with more than two decades of experience helping enterprise organisations grow, evolve and build meaningful customer connections.

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McKinnon spent almost 10 years at The Brand Agency across Melbourne and Perth as Head of Strategy and Client Services Director, working with clients including Bunnings, Rio Tinto and Wesfarmers.

Most recently, as General Manager of independent agency Town Square, she led strategy, people and business transformation across Australia and the Middle East, with clients including Destination Qatar, Hilton Hotels and the Northern Territory Government. She has also held senior roles at CHE, FCB and George Patterson.

CM.OSX™ services include:

  1. Marketing and In-House Agency operating models and AI and automation adaption roadmaps.
  2. Capability development programs to enable confident adoption of AI and automation with sound governance for Marketers and In-house Agencies
  3. How to select the right automation tools, or steps to maximise the capabilities in existing tools.
  4. Industrialised campaign production to increases speed, consistency and output across channels, and how to drive efficiency dividends.
  5. Optimisation programs to drive continuous performance improvement and accelerate growth.

McKinnon said, “It is clear that marketing organisations are entering a period of significant transformation – where the opportunity is clear, but the path forward is not. That is what CM.OSX™ is here to fix.”

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CM.OSX™ offers a complimentary one-hour “Future of Marketing” presentation for Australian marketing teams, already delivered to over 20 leading brands with overwhelmingly positive feedback.

CM.OSX™ is hiring and encourages applicants to its expressions of interest on LinkedIn.

With the addition of CM.OSX™, BRX Group brings together BRX, CM.OSX™ and Brand.OSX® to support CMOs across strategy, execution and scaled production.

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Bridging Linear and Streaming: Samsung Ads’ TotalView™ Gives Advertisers a New Lens on TV Reach

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Bridging Linear and Streaming: Samsung Ads’ TotalView™ Gives Advertisers a New Lens on TV Reach

Powered by insights from millions of Samsung Smart TVs, TotalView™  gives advertisers a unified view of reach across linear and streaming, enabling smarter planning, precise targeting, and more holistic campaign measurement

Samsung Ads, the advertising arm of Samsung Electronics’ media division, has announced the launch of TotalView™  — a powerful new solution that provides a unified view of total ad reach across the Samsung Smart TV ecosystem, spanning both linear and streaming. With TotalView™, advertisers can eliminate blind spots and enrich their planning, targeting, and measurement with a comprehensive dataset that captures the full picture of TV campaign performance.

For the first time, advertisers gain an unprecedented unified view of their total TV reach across linear and streaming environments on Samsung’s 70 Million Smart TVs in Europe. The TotalView™ dataset can be applied throughout the campaign lifecycle — from pre-campaign planning, where it helps identify untapped audiences and forecast deduplicated reach, to in-flight activation for incremental reach targeting on Samsung Smart TVs, and post-campaign reporting, where it can be overlaid to deliver deeper insights into audience ad exposure, performance and TV viewing behaviours. By connecting these stages, TotalView™ enables advertisers to take a truly holistic and data-driven approach to planning, buying and measuring TV campaigns across the Samsung Smart TV ecosystem.

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How people watch TV has changed and continues to evolve rapidly. In 2010, 84% of TV viewing was linear. In 2025, with consumers enjoying a greater choice of viewing platforms than ever, linear’s share, while still significant, had been reduced to 40%.

Samsung recognises this change in viewing habits and the fragmentation challenge it brings. This new TotalView™ offering enhances Samsung’s existing pre-campaign insights, targeting and reporting capabilities, and together gives advertisers an unrivalled view of the full TV advertising journey.

“As the leading Smart TV manufacturer, Samsung has a unique vantage point on how viewing behaviours are evolving across both linear and streaming,” said Alex Hole, SVP and General Manager, Samsung Europe and MENA. “Our audience insights at scale mean we understand not just what viewing behaviours look like today, but how they’re evolving over time — giving us a complete view of campaign reach that every media planner and buyer strives for. With the launch of TotalView™, we’re empowering advertisers to navigate the new TV landscape with greater clarity and confidence, providing the insights and tools to plan, reach and measure  more audiences effectively across the entire Samsung Smart TV ecosystem.”

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Samsung Ads, a division of Samsung’s media & services business, harnesses the power of data, technology and scale to create a seamless advertising experience that amplifies brand stories across an ecosystem of devices. Leveraging its unique position with nearly 70 Million devices in Europe, Samsung Ads delivers high-impact, targeted advertising solutions across multiple screens, enabling brands to reach audiences in the moments that matter. Samsung Ads – where technology meets creativity to deliver advertising experiences that captivate and inspire. Launched in 2015, Samsung Ads has offices in the US, UK, Germany, France, Italy, Spain, Australia, New Zealand, India, Brazil & Mexico and South Korea.

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MarTech Interview with Jen Jones, Chief Marketing Officer @ Siteimprove

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MarTech Interview with Jen Jones, Chief Marketing Officer @ Siteimprove

Jen Jones, Chief Marketing Officer, Siteimprove discusses some of the trends that will reshape B2B SaaS marketing in 2026 in this MarTech Series interview:

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Hi Jen, what are you most looking forward to as Siteimprove’s new CMO?

I love a good scale story. High-growth companies give marketers the opportunity to tell meaningful stories about transformation and market shifts, and Siteimprove is at a fascinating moment in that journey.

We’re entering a new phase of digital discovery shaped by agentic AI, where content strategy, analytics, search visibility, and user experience are being redefined in real time. That creates a huge opportunity for marketers. The brands that succeed will be the ones that understand how content is discovered and evaluated not just by people, but by machines.

What drew me to Siteimprove specifically is that we’re building an Agentic Content Intelligence platform while staying grounded in a mission I care deeply about: accessibility. Too often accessibility is treated like a compliance checkbox. In reality, it’s the foundation of digital performance. If someone can’t access your content, the experience stops there. And increasingly, AI systems recognize that too. Accessible, structured digital experiences are simply more discoverable in the AI era.

Helping organizations connect those dots is a story I’m incredibly excited to tell.

What top marketing trends will dominate the B2B SaaS ecosystem in 2026?

The biggest shift I see is that we’re moving from AI experimentation to AI cost rationalization.

Over the past few years, marketing teams have been piloting tools, testing workflows, and experimenting across the AI landscape. That exploration phase was necessary, but now leadership teams want to see results. They’re asking which tools actually drive productivity, pipeline, and measurable growth. So 2026 will be the year when marketing leaders take a hard look at their AI stacks and make real decisions about what stays, what goes, and what truly delivers value.

At the same time, AI is changing how content is discovered. Marketers have always built strategies for different audiences. Now we have to design content for another persona entirely: machines.

AI systems increasingly interpret and surface content before a human ever clicks a link. That means clarity, structure, and accessibility are becoming strategic advantages. Accessible digital experiences tend to be easier for both people and machines to understand, which directly impacts discoverability in the AI era.

For marketing leaders, the takeaway is simple: success isn’t just about driving traffic anymore. It’s about making sure your content can be understood, trusted, and surfaced by AI systems in the first place.

Can you take us through some of the martech you’ve often relied on to drive outcomes?

At the center of everything for me is the CRM. Marketing’s ultimate goal is to drive revenue, and the CRM is where you understand customers, relationships, and outcomes.

Beyond that, I’ve always valued technologies that help teams understand intent and behavior. When you know what customers are looking for, how they interact with your digital experiences, and where friction appears, you can make much smarter decisions about where marketing should focus.

What has changed dramatically over the past few years is how embedded AI has become in that process. It’s no longer one tool or one workflow. AI is now part of the day-to-day operating system for modern marketing teams. I rely on it constantly for research, analysis, content development, and decision support. Used well, it becomes a true force multiplier.

The challenge for marketing leaders today isn’t access to tools. It’s building a stack – and a team – that knows how to turn all that data and intelligence into action.

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How do you use AI powered martech these days to boost marketing goals, some top of mind tips to share with fellow marketers?

One of my immediate priorities at Siteimprove is making sure we hold ourselves to the same standard we expect from our customers. We already use the platform to monitor accessibility across our digital properties, and now we’re doubling down on using it to guide our broader content and performance strategy.

The goal is simple: build a marketing engine that continuously improves itself. We analyze how our digital content performs, identify where experiences fall short, improve them, and measure the impact. That’s the kind of feedback loop AI should enable.

My advice to other marketers is to start with amplification, not replacement. The most effective AI use cases are often the ones that remove friction from work your team is already doing.

Account-based marketing is a great example. Historically, ABM required enormous manual effort to personalize messaging, creative, and targeting for individual accounts. AI can now automate much of that groundwork so teams can focus on strategy and creativity instead of repetitive execution.

Those kinds of workflow improvements are where AI becomes transformative.

A few martech and marketing takeaways you’d like to leave us with before we wrap up?

The pace of change in marketing has always been fast, but AI has accelerated it dramatically.

We used to adapt to predictable shifts – maybe a new platform release, or a search algorithm update every couple of years. Now the environment evolves almost continuously. The moment a team thinks they’ve mastered something like AI-driven search optimization, the rules move again.

That means flexibility is becoming one of the most important capabilities a marketing organization can build. Flexible strategies, flexible teams, and flexible technology stacks.

But even with all of that change, the core principle hasn’t moved.

It’s still about the customer.

The tools will evolve. The ecosystem will shift. AI will reshape discovery and decision-making. But the brands that win will be the ones that remove friction, deliver accessible digital experiences, and create real value in the moments that matter.

Technology changes. Great customer experiences don’t.

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Agentic Content Intelligence Platform - Siteimprove

Founded in 2003, Siteimprove transforms access to the digital world by providing an agentic content intelligence platform that unifies accessibility, analytics, SEO/AEO, and content strategy. Today, global 2000 clients across manufacturing, government, higher education, financial services, and healthcare rely on Siteimprove.ai, an agentic content intelligence platform to deliver both content that performs and that is compliant. Based in Copenhagen, Bellevue, Minneapolis and London, Siteimprove is a single, actionable source of truth for digital content and development teams across many of the largest global enterprises, government entities and learning institutions. Siteimprove is majority-owned by Nordic Capital.

About Jen Jones

Jen Jones is a transformative enterprise technology marketing leader known for scaling global organizations and elevating category‑defining platforms. As the CMO at Siteimprove, she leads global brand, communications, demand generation, content, insights, performance and analytics, and product and partner marketing. Her work focuses on strengthening category leadership, deepening enterprise value, and aligning go‑to‑market teams to accelerate growth.

Tata Communications Unveils Self-Healing Network, Marks New Frontier in Global Data Centre Connectivity

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Tata Communications Unveils Self-Healing Network, Marks New Frontier in Global Data Centre Connectivity

Tata Communications redefined resilience for the global digital economy with the launch of IZO™ Data Centre* Dynamic Connectivity, a software-defined platform designed to transform how enterprises connect their Data Centres in an increasing AI driven and distributed world.

In today’s digital economy, every enterprise depends on the ability to always be connected with an uninterrupted data flow. From financial transactions, IT-ITeS, Manufacturing etc. to streaming platforms and online retail, the connections between data centres keep the modern world running. When those connections are interrupted, businesses do not just slow down, they bring them to a complete standstill.

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Yet the networks connecting many enterprise data centres were built for a different era. Traditional DC-to-DC links were designed for predictable workloads and stable traffic patterns. Today’s reality is far more dynamic. Enterprises operate across global locations and cloud environments, moving massive volumes of data in real time to support AI workloads and business needs.

In an environment shaped by increasing geopolitical constraints, cable outages, route failures, or sudden spikes in demand, these can quickly cascade into service disruption and operational risk, leading to a costly downtime. In such scenarios, the response is often reactive and manual, consuming valuable time when business need certainty and speed.

Tata Communications’ IZO™ DC Dynamic Connectivity addresses this challenge by introducing a self-healing, intelligent network that covers key global data centers across 5 continents. Unlike conventional architectures, this platform uses deterministic multi-path routing to deliver predictable latency and performance. This means the platform  is smart enough to automatically re-route traffic within seconds – without manual intervention during disruptions. This enables enterprises to achieve >99.99% service availability across mission-critical infrastructure that supports business-critical applications, turning resilience from a contingency into a default state.

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The platform also gives enterprises access over their connectivity. Through a unified digital interface and APIs, enterprises can monitor performance, receive proactive alerts, and dynamically scale bandwidth as workloads evolve. Business leaders no longer have to guess their future needs or over-pay for ‘just in case’ bandwidth. The system provides Al-driven predictive insights allowing companies to forecast their capacity requirements in advance. If a sudden workload demands more capacity or choice of route, users can instantly scale their bandwidth or add route through self-service feature.

The business impact is a shift from crisis management to strategic growth. By moving to a flexible, consumption-based pricing model, enterprises can reduce the need for idle backup capacity and save up to 30% on operational costs. Enterprises can activate resilience and bandwidth only when required, helping optimise costs while maintaining deterministic performance across geographies.

This is the Tata Communications advantage: combining enterprise-grade agility with predictive intelligence to keep the world’s most important data moving and ensuring enterprises are always on and always connected.

Commenting on the launch, Genius Wong, Executive Vice President, Core and Next-Gen Connectivity Services and Chief Technology Officer, Tata Communications, said: “Data centres are the core engines of today’s digital economy, and the connections between them must be as resilient as the networks that connect them. They must be just as dynamic as the applications they support. With IZO™ DC Dynamic Connectivity, we are shifting resilience from a reactive process to an autonomous capability. By combining global reach, deterministic routing and intelligent automation, we are enabling enterprises to build a digital foundation that scales with confidence and operates without disruption.”

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Jumbula Announces it Will Leverage Tableau from Salesforce to Deliver Advanced Data Analytics

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HTAG Analytics Becomes First Australian Proptech to Launch MCP Integrations with Claude and Perplexity AI

logo-jumbula

Jumbula collaborates with Salesforce to integrate Tableau BI, delivering advanced analytics, real-time insights, and enhanced reporting for data-driven growth.

Jumbula, a leading provider of online registration and management software, announced it is significantly expanding its use of Salesforce, a global leader in customer relationship management (CRM) solutions, to drive the next chapter of its business growth. By bringing Tableau from Salesforce’s advanced business intelligence (BI) and reporting solutions to Jumbula’s powerful platform capabilities, Jumbula transforms organizations to unlock deeper insights through enhanced data analysis and reporting.

As businesses increasingly rely on data-driven decision-making, the integration of Jumbula’s intuitive class and activity management platform with Salesforce’s robust analytics solutions provides a comprehensive and customizable reporting experience. Clients will gain access to real-time dashboards, actionable insights, and advanced reporting features designed to optimize operations and improve strategic planning.

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“We are excited to offer our clients a more comprehensive solution for data analysis with Salesforce,” said Ignacio Carranza, VP of Sales and Marketing at Jumbula. “Through expanded capabilities, we aim to empower organizations with the tools they need to make informed, data-driven decisions and accelerate growth. Our goal is to make data management and analysis as seamless, efficient, and impactful as possible.”

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The integration of Jumbula with the Tableau from Salesforce platform delivers a unified experience, allowing businesses to access, visualize, and analyze their data within a centralized environment. By combining operational management with powerful analytics, organizations can better understand customer behavior, refine marketing strategies, enhance operational efficiency, and drive revenue growth.

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StackAdapt Named a Strong Performer in Omnichannel Advertising Platforms, Q1 2026 Analyst Evaluation

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StackAdapt Named a Strong Performer in Omnichannel Advertising Platforms, Q1 2026 Analyst Evaluation

StackAdapt Logo

Recognition acknowledges that “StackAdapt is favored for its low total cost of ownership and transparent pricing”

StackAdapt, the leading AI advertising and orchestration platform, announced it has been named a Strong Performer in The Forrester Wave™: Omnichannel Advertising Platforms, Q1 2026.

The report evaluated top omnichannel advertising platforms across a comprehensive set of criteria across two categories—current offering and strategy—along with customer feedback. StackAdapt received the highest possible scores in three criteria, including self-serve capabilities, onboarding, training, and ongoing support, and pricing flexibility and transparency. The company also received above-average customer feedback, with the report stating that, “Customers appreciate the StackAdapt platform’s usability and cost-effectiveness, as well as StackAdapt’s customer service.”

StackAdapt participated in the first edition of The Forrester Wave™ evaluation on omnichannel advertising platforms and was recognized as a Strong Performer, marking a significant milestone in the company’s continued growth in the omnichannel advertising market.

“Being recognized as a Strong Performer in The Forrester Wave for omnichannel advertising platforms is an exciting milestone for StackAdapt,” said Yang Han, Co-founder and CTO at StackAdapt. “From the beginning, the goal has been to build a platform that makes sophisticated advertising accessible, intuitive, and performance-driven for marketers. To us, this recognition, along with the feedback from our customers, reflects the work the team has put into delivering both powerful AI capabilities and a seamless, supportive user experience.”

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StackAdapt’s platform enables brands and agencies to plan, activate, and optimize campaigns across multiple channels including connected TV, native, display, video, audio, in-game, and digital out-of-home. Built as a unified platform, StackAdapt enables marketers to manage and optimize campaigns across channels without the fragmented workflows often associated with legacy systems. The platform leverages AI and automation to help marketers drive measurable outcomes while simplifying campaign management across channels.

The report states that, “Advertisers don’t want to be systems integrators. They want comprehensive ad platforms offering robust capabilities across channels, disciplines, and types of AI (predictive, generative, and agentic).” StackAdapt’s vision reflects this evolution, bridging martech and adtech to help marketers better understand audiences, streamline workflows, and improve performance across the full customer journey.

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Over the past year, StackAdapt has continued to expand its platform capabilities while maintaining a strong focus on usability and customer success. The company has introduced new tools designed to help marketers consolidate media buying workflows, improve performance, streamline omnichannel execution, and access premium global inventory across emerging and established channels.

This recognition from Forrester positions StackAdapt’s among top omnichannel advertising platforms in the market. StackAdapt’s role in this new generation of advertising technology is to enable marketers to achieve enterprise-scale performance with greater efficiency, transparency, and support.

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Kaltura and Descript Partner to Drive AI-Powered Video Innovation in the Enterprise, Enabling Scalable Content Production Across Regulated Industries

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Kaltura and Descript Partner to Drive AI-Powered Video Innovation in the Enterprise, Enabling Scalable Content Production Across Regulated Industries

Video Cloud Platform For Education - Kaltura

The partnership has already attracted new customers, including a leading healthcare provider, putting Kaltura and Descript’s integrated AI video creation and editing tools to use in highly regulated healthcare environments

Kaltura, the Agentic Digital Experience company, announced a new strategic partnership with Descript, an AI-powered audio and video editing platform. The partnership will bring together Kaltura’s comprehensive suite of AI-powered video and avatars and Descript’s advanced video editing tools to organizations across all industries. The recently signed partnership has already resulted in a commercial deal to deploy AI-powered integrated digital content creation within a world-leading medical center.

Enterprises around the world are increasingly turning to AI-infused video content and agentic technology as a critical component of internal training, streamlined workflows, and customer engagement, to address mounting pressures to deliver faster results, improve accessibility, and maintain compliance with evolving regulations,  with tools that keep human expertise central to content decisions. The ability to empower teams with intuitive, integrated technology has also become a strategic priority for businesses navigating the challenges of rising costs, employee burnout, and the global AI transformation.

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“This is a pivotal moment for enterprises that are looking to transform their workflows with AI to remain competitive, and with our shared capabilities, organizations will be able to easily begin making impactful changes,” said Lior Bukshpan, Head of Strategic Partnerships at Kaltura. “The partnership reflects Kaltura’s continued investment in outcome-driven partnerships, focused on helping businesses adopt AI tools and avatar technology in practical, flexible, and intuitive ways, and signals a broader shift toward integrated, intuitive AI that enhances productivity without adding complexity.”

One of the partnership’s first joint customers, a world-leading medical center, needed to scale video content production across departments, from training to internal communications, while meeting the compliance and governance requirements of a regulated healthcare environment. With plans to deploy across the organization, ease of use and human oversight were critical requirements.

Kaltura’s AI avatar and video creation tools, combined with Descript’s AI-powered script-based editing capabilities, enable teams to produce professional video content efficiently at enterprise scale with AI handling production tasks while subject matter experts maintain control over messaging and accuracy.

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“Healthcare teams are under pressure to produce accurate video content at a pace that traditional workflows can’t support. Descript gives them AI-powered editing that keeps humans in control of every content decision. Combined with Kaltura’s enterprise video platform, teams get a complete workflow — from production through distribution — built for the governance requirements of regulated industries. Our first joint customer in healthcare is already scaling this across their organization,” said Will Paulus, Vice President, Sales, Descript.

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Mileto Tecnologia Accelerates Streaming Growth With Synamedia Go

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Mileto Tecnologia Accelerates Streaming Growth With Synamedia Go

Leading Brazilian pay-TV operator continues to invest in OTT and execute on its growth plan, now supported by Synamedia’s proven portfolio

Synamedia announced that Mileto Tecnologia, one of Brazil’s largest pay-TV operators, has chosen the Synamedia Go platform to support its rapid OTT expansion. Synamedia Go will be the foundation of Mileto’s next-generation streaming platform, supporting its ambitious video and media expansion efforts and delivering personalized viewing experiences with AI-powered discovery and recommendations. This is the latest of Mileto’s strategic investments including its acquisition of OiTV, a large DTH provider in Brazil; a distribution agreement with SES; and the launch of a new customer service portal.

Synamedia Go is an open, flexible, modular SaaS OTT video platform based on a multi-tenant microservices architecture and advanced cloud-native infrastructure. Unique content aggregation modules support personalized experiences with scalable new monetization paths, including multi-brand capabilities for Internet Service Providers (ISPs), all in a secure cloud environment. This capability was of utmost interest to Mileto – one of the only Brazilian providers with expansive content rights, giving them a powerful position in the market.

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“Our strategy at Mileto is to build the best possible service for both subscribers and partners. With Synamedia Go as our foundation, we can dynamically enhance, differentiate, and monetize our OTT portfolio, making us the de facto source for viewers and companies seeking more content and more features,” said Pedro Pedras, CEO of Mileto Tecnologia. “Mileto was founded by passionate entrepreneurs with an eye for anticipating what’s next. I’m thrilled to be a part of this forward-looking organization, and to partner with a fellow innovation-centric company like Synamedia.”

“Creating exceptional customer experiences is a cornerstone of our growth plan, and it is that commitment that is inspiring our rapid growth across Brazil,” said Renato Svirsky, Founder and Director, Mileto Tecnologia. “With Synamedia, we’ve found our OTT partner. We selected Synamedia because of its secure, best-in-class media streaming technology that enables us to serve our subscribers today, and Synamedia Go’s modular design that makes it easy to prepare for future growth and innovation. Viewers want compelling, high-quality viewing experiences, and we are delivering.”

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Alongside Synamedia Go, Mileto is deploying VideoGuard, Synamedia’s conditional access system, the benchmark for pay-TV security, to ensure its DTH service is received by authorized users.

“Our partnership with Mileto balances bold vision with dependable technology. Their commitment to delivering secure, high quality video services across Brazil’s vast geography and their exciting growth plans will see immense benefits with Synamedia Go as the foundation for their next generation platform,” said Dr. Tzvi Gerstl, EVP, Media Technology, Synamedia. “We are proud to be their partner and are energized to help drive their rapid innovation that will, no doubt, stand out in a competitive market.”

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PixVerse Launches V6, Advancing AI Video Generation Across Creative and Agentic Workflows

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PixVerse Launches V6, Advancing AI Video Generation Across Creative and Agentic Workflows

Latest release advances camera control, character performance, and multi-shot video generation with native audio.

PixVerse, a global AI video generation platform, announced the launch of V6, the latest version of its flagship model. V6 advances shot execution, character performance, and multi-shot audio-visual generation, with improvements across both creative and commercial use cases.

The new model delivers measurable improvements across camera work and character performance. Camera movements — tracking, perspective shifts, environmental reveals — are rendered with greater accuracy and fewer artifacts than previous releases. Character emotion holds across frames more reliably, with facial expressions and body language maintaining continuity through scene changes. Physical interactions between objects behave with improved realism, with collisions, movement, and spatial relationships rendered more accurately throughout a scene.

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Multilingual text generation within frames is now supported, with accurate placement and style consistency across English, Chinese, and other languages, making V6 particularly relevant for global content teams producing localised video at scale.

On higher-complexity content, the model also shows meaningful gains. Action sequences and stylized effects are rendered with stronger consistency across frames. A key advancement in V6 is its ability to generate multi-shot short films with native audio from a single prompt — a product advertisement, for instance — without requiring separate editing or audio production steps. Audio and video are generated simultaneously, and what previously demanded multiple tools and production stages can now be completed in a single generation.

These capabilities extend beyond the consumer platform. Through PixVerse’s command-line interface (CLI), V6 is accessible to developer and agentic workflows, compatible with coding agents including Claude Code, Codex, Cursor, and OpenClaw. Development teams can embed video generation directly into production workflows, automating steps that previously required manual creative tools.

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As with all current video generation models, there are areas that continue to evolve, including precise directional control in complex scenes and consistency across significant spatial changes. PixVerse is actively working on improvements for future releases.

V6 is available today to all PixVerse users, with launch discounts available for both individual and enterprise subscribers. It is one step in PixVerse’s ongoing work to make professional video creation accessible to everyone. More information is available at pixverse.ai.

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BigID Unifies Privacy Management Across People Data and AI From Preference Portals to Deletion, in One Platform

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BigID Unifies Privacy Management Across People Data and AI From Preference Portals to Deletion, in One Platform

As privacy obligations expand from employees to AI systems, BigID delivers the first platform to govern personal data and AI use together — end to end

BigID, the leader in data and AI privacy, security, and compliance, announced Unified Privacy Management for People Data and AI: in a single platform that connects personal data discovery, data rights automation, consent enforcement, and AI privacy governance across the entire enterprise data landscape — replacing the disconnected tools that make privacy programs look operational on paper but impossible to prove under audit.

What is unified privacy management for people data and AI?

Unified privacy management is the practice of governing personal data and AI use from a single platform — automating discovery, data rights, consent, and AI-specific privacy controls together, rather than managing them as separate tools and processes. BigID is the first platform to deliver this end to end: automatically finding and classifying personal data across hundreds of structured, unstructured, cloud, SaaS, and on-prem sources; correlating that data back to the individual; and enforcing rights, consent, and AI governance from one unified interface.

Most enterprises currently manage privacy across three to five disconnected systems. DSRs live in one platform. Consent lives in another. AI assessments happen in spreadsheets. None of them connect to the actual data. The result is a privacy program that generates reports but can’t validate them — and can’t prove compliance when a regulator asks.

BigID eliminates that gap. Every workflow is grounded in live, AI-powered data discovery across 100+ languages, 1,000s of pre-trained classifiers, and hundreds of data sources. When data changes, the program adapts. When a regulation changes, controls update. When an auditor asks for evidence, it’s already there.

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What does BigID’s unified privacy platform do?

BigID’s patented identity correlation maps personal data back to the individual — not just by field name, but by context and relationship across siloed systems. That means access requests return the right data. Deletion requests delete it everywhere, including from AI training datasets and vector databases. And every action is validated, logged, and audit-ready before a regulator ever asks.

With BigID, organizations can:

  • Automate data subject access and deletion workflows end to end — with built-in verification, validation, and fulfillment tracking across 100+ regulations including GDPR, CPRA, LGPD, and POPIA
  • Customize and enable preferences portals for customers, employees, and more to comply with global regulations and right to be forgotten requests
  • Run AI-focused Privacy Impact Assessments (PIAs/DPIAs) with automated evidence gathering, dynamic templates, and intelligent risk mapping aligned to the EU AI Act and NIST AI RMF
  • Monitor data residency and cross-border transfer compliance continuously — without manual reviews

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Why does unified privacy management matter now?

Compliance and privacy regulations are multiplying faster than teams can track them. The EU AI Act, GDPR’s right to erasure under Article 17, CPRA, and a growing body of regional AI-specific frameworks now require organizations to govern not just what data they hold — but how AI uses it, who can access it, and how fast it can be removed on request.

Most privacy platforms weren’t built for this. They were built for ticketing and reporting — designed when data lived in databases, not models. BigID was built for data first. That architectural difference is what makes every privacy workflow it automates defensible, not just documented.

“Privacy used to be about policy. Now it has to be about data,” said Dimitri Sirota, CEO and Co-founder at BigID. “BigID is the only platform that connects personal data discovery, AI governance, and rights automation in one place — so privacy teams can prove their program works, not just report on it.”

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3E Launches AI Platform and Comprehensive AI Solution Suite, Bringing Trusted Intelligence and Workflow Acceleration to Product Compliance

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3E Launches AI Platform and Comprehensive AI Solution Suite, Bringing Trusted Intelligence and Workflow Acceleration to Product Compliance

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3E delivers AI-enabled software, agentic-ready data, and standalone AI agents—backed by a new Trust Center and Fast Company recognition as a Most Innovative Company of 2026

3E, a global leader in AI-driven product compliance solutions, announced the launch of its AI platform and comprehensive AI solution suite—delivering an unparalleled combination of intelligent software with embedded AI, agentic-ready data solutions, and standalone AI agents all purpose-built for product compliance.

These deployment models—embedded AI, agentic-ready data, and standalone agents—are designed to meet customers wherever they are in their AI journey and expand with them over time.

A New Standard for Expert-Led AI Fit for Product Compliance

3E’s AI solutions span three deployment models, all built on multi-agent reasoning and the company’s authoritative regulatory and compliance intelligence foundation—a proprietary dataset assembled over more than 35 years of expert curation, covering 500,000+ substances, 3,000+ regulatory topics, and 160+ countries. This depth of structured, governed content represents the industry’s most comprehensive product and chemical regulatory knowledge base and is a truly unique foundation. AI capabilities are now embedded within 3E Protect, 3E Insight, 3E Exchange, and across 3E’s Product Stewardship Solutions—enhancing workflows from SDS management and hazard classification to regulatory impact analysis, portfolio impact analysis, and supplier compliance data gathering at scale.

Agentic Reasoning Plus Proprietary Data Create Unique Solution Suite

These deployment models—embedded AI, agentic-ready data, and standalone agents—are designed to meet customers wherever they are in their AI journey and expand with them over time. New agentic-ready data solutions, delivered through Model Context Protocols (MCPs) such as the 3E Regulatory Intelligence MCP, enable customers to connect 3E’s trusted, highly governed regulatory content directly to Microsoft Co-Pilot, Claude, ChatGPT, or additional AI and enterprise ecosystems. 3E’s AI agents, including the 3E Regulatory Agent, are purpose-built to answer complex regulatory and compliance questions across 160+ countries and are ready to deploy within customer AI platforms to deliver agentic workflow automation.

“Our customers operate in a world where a single compliance gap can halt a product launch, trigger a recall, or expose an organization to significant liability—and that world is only getting more complex,” said Greg Gartland, CEO of 3E. “With the launch of our AI platform, we’re giving them something no one else can: the ability to harness 35 years of authoritative regulatory intelligence through AI with agentic reasoning they can trust, deploy flexibly, and scale globally. This is the beginning of a much larger transformation, and 3E is building the operating system for it.”

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Built on Trust and Transparency

Alongside the AI platform launch, 3E introduced its AI Trust Center, reinforcing the company’s commitment to security, transparency, and governance in AI deployment. The Trust Center provides visibility into 3E’s security practices, certifications, and governance frameworks—addressing a top barrier cited by EHS and product compliance leaders evaluating AI solutions.

“In regulated environments, AI is not limited by model capability—it’s limited by the quality, traceability, and defensibility of the intelligence behind it,” said JP O’Sullivan, COO and Head of Product at 3E. “Our AI platform is governance-first by design, expert-led, and has access to the world’s most comprehensive proprietary, highly curated regulatory content. Every output is traceable, every data source is authoritative, and every deployment model is built to clear enterprise security and trusted response gates. That’s what sets 3E apart.”

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Industry Recognition, Customer Impact, and a Legacy of Innovation

The launch builds on 3E’s long-standing legacy of AI use and innovation, including the introduction of its award-winning AI Assistant in 2024, which delivers fast, traceable answers to complex regulatory questions powered by authoritative content in the 3E Insight platform. 3E’s continued leadership earned recognition from Fast Company, which recently named 3E a Data Science award winner and included the company on the prestigious Fast Company World’s Most Innovative Companies list. Data science winners were selected for their ability to leverage AI and data to make a positive impact on the world.

Trusted by more than 5,000 customers globally—including leading manufacturers, chemical companies, retailers, and pharmaceutical enterprises—3E’s platform is deeply embedded in the compliance workflows of the world’s most regulated industries. The company’s high customer retention and partnerships with SAP and ServiceNow reflect the mission-critical nature of its solutions and the depth of its integration into enterprise operations.

3E’s recent market research underscores the moment: 56% of surveyed EHS and product compliance leaders are already piloting or scaling AI, while 79% seek agentic automation and embedded copilot capabilities. With security and accuracy as the top priorities for solution selection, 3E’s governance-first approach directly addresses the market’s most critical requirements. As regulatory complexity accelerates globally—driven by expanding sustainability mandates, evolving chemical regulations, and new disclosure requirements across supply chains—the demand for trusted compliance intelligence continues to grow.

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Upland Second Street Launches Text‑to‑Vote at 2026 America’s Newspapers Mega‑Conference

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Upland Second Street Launches Text‑to‑Vote at 2026 America's Newspapers Mega‑Conference

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Upland Software, Inc. , a leader in AI-powered knowledge and content management software, announced the official launch of Upland Second Street’s Text‑to‑Vote, a powerful new audience engagement and revenue‑driving feature. Designed for publishers, media companies, and news organizations, the Text‑to‑Vote capability enables users to boost audience participation, streamline mobile‑first voting experiences, and unlock new advertiser revenue opportunities through a frictionless SMS workflow. This launch takes place at the 2026 America’s Newspapers Mega‑Conference, March 30 – April 1 at the Austin Marriott Downtown, where Second Street serves as a Gold Sponsor.

“Text‑to‑Vote is a practical, high‑impact solution that publishers are demanding – simple to deploy, effortless to scale, and immediately revenue‑generating,” said Shawna Weaver, Senior Vice President and General Manager of Audience Engagement at Upland Software. “At Mega‑Conference, we’re demonstrating how tools like this deepen audience relationships and create powerful new moments for advertisers to connect with consumers, delivering enhanced engagement, higher revenue, and greater operational efficiency.”

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Second Street Text-to-Vote enables media companies to drive higher participation in promotions, such as “Best Of” ballots — citywide competitions where audiences vote for their favorite local businesses — while creating premium sponsorship opportunities for advertisers within high-engagement voting moments. The solution also offers simple, mobile-first workflows that scale easily across multiple markets.

During Mega‑Conference, Second Street will spotlight Text‑to‑Vote during the session “Turning ‘Best Of’ Into Big Revenue: Two Proven Growth Plays for Newspapers,” joining leaders from Osteen Publishing Group and Wick Communications. The session demonstrates how enhancements like self‑serve ecommerce ads and text‑to‑vote workflows help newspaper groups generate six‑figure revenue gains in markets of all sizes.

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“Publishers know that mobile‑first engagement is no longer optional; it is essential,” said Nick Certa, Vice President of Sales and Marketing of Audience Engagement at Upland Software. “Second Street Text-to-Vote provides a quick, scalable way to activate audiences on mobile devices and deliver measurable results for advertisers. It is innovation grounded in real‑world demand, and we’re excited to showcase it to our customers.”

Mega-Conference offers a platform for thousands of industry leaders to gather and explore revenue strategy, digital transformation, and practical innovations shaping the future of news. To see Text‑to‑Vote in action, attendees can visit the Second Street Engagement Café on the conference floor to meet the onsite team and explore how engagement programs are becoming revenue engines for publishers nationwide.

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AI Guardrails by Zapier Gives Teams Inline Safety Checks for Every AI-Powered Workflow

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AI Guardrails by Zapier Gives Teams Inline Safety Checks for Every AI-Powered Workflow

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New capability detects PII, identifies prompt injection attempts, and flags toxic content so you can block risky AI outputs before they reach downstream systems

Zapier, the leading AI orchestration platform, announced “AI Guardrails by Zapier”, a set of builder-added safety checks that run directly inside automated workflows. AI Guardrails lets teams detect personally identifiable information (PII), identify prompt injection attempts, and flag toxic or harmful content before AI outputs ever touch a CRM, database, or customer inbox.

As companies push AI deeper into daily operations, the gap between “we use AI” and “we trust our AI outputs” keeps getting wider. Most organizations have AI policies on paper. What they don’t have is a way to enforce those policies right where the work happens. AI Guardrails closes that gap by embedding real-time safety checks directly into Zaps, Agents, and MCP-connected tools.

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“Every company using AI in production has the same question: how do we know the outputs are clean before they hit our systems?” said Brandon Sammut, Chief People & AI Transformation Officer. “AI Guardrails gives teams an actual enforcement layer, not a policy document sitting in a shared drive somewhere. It runs inline, in production, on every single workflow that needs it.”

How AI Guardrails Works

AI Guardrails allows you to add a safety step directly into any workflow. After an AI model generates output, the guardrail checks it against the selected detection type and returns structured results. From there, teams can use paths and filters to route, block, or escalate, all without writing code. Current capabilities include:

  • PII Detection: Scans AI-generated text for more than 30 types of personally identifiable information, including Social Security numbers, credit card numbers, bank details, email addresses, and physical addresses. Detected PII can be automatically blocked or redacted before it moves downstream.
  • Prompt Injection Blocking: Reviews user or external input before it reaches an AI model, catching attempts to manipulate the model’s behavior.
  • Jailbreak Detection: Flags attempts to bypass an AI model’s built-in safety controls.
  • Toxicity Detection: Screens content for hate speech, threats, insults, and other harmful language before it gets published, forwarded, or stored.
  • Sentiment Analysis: Gauges the tone of AI-generated or user-submitted content with confidence scores, so teams can route negative or mixed-sentiment outputs for human review.

AI Guardrails works across Zapier’s platform. In Zaps, teams add a guardrail step after any AI action. In Agents, it functions as a tool the Agent is instructed to use before acting on AI output. And through MCP, AI clients like Cursor and Claude can call guardrail actions directly.

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Closing the Trust Gap in AI Automation

AI Guardrails represents a unique capability in the automation space. While other platforms rely on documentation and manual review processes to manage AI safety, Zapier offers inline, automated safety checks that run as part of the workflow itself. Every check returns structured output, making it straightforward to build conditional logic around safety results without any custom code.

“The conversation around AI safety usually stops at ‘we wrote a policy,'” said Sammut. “What teams actually need is something that runs in the background and catches problems before they become incidents. That’s what this does.”

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Chativ Makes AI Customer Service for Small Business Affordable and Instant

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Chativ Makes AI Customer Service for Small Business Affordable and Instant

Chativ’s AI chatbot for small business websites trains itself from your existing content and answers customer questions 24/7 — no coding required.

Chativ announced the general availability of its AI customer service platform built specifically for small business websites. The platform tackles a problem that affects virtually every small business owner: spending hours each week answering the same customer questions by email and phone, while inquiries arriving outside business hours go unanswered and leads are lost.

The Problem

Small business owners handle an average of five to ten repetitive customer inquiries per day — questions about pricing, availability, how a service works, and what happens next. At five minutes per response, that amounts to up to an hour of daily work on conversations that follow near-identical patterns. At night and on weekends, those same questions go unanswered entirely, and visitors move on to competitors who responded faster.
Enterprise AI customer service platforms — Salesforce, Zendesk, Intercom — address this problem at scale, but they are designed for support teams with dedicated IT resources and budgets exceeding $500 per month. For a small business owner who is also the customer service team, those platforms solve the wrong problem at the wrong price.
How Chativ Works

Chativ installs on any website in under ten minutes. Rather than requiring business owners to write scripts, configure conversation flows, or upload training documents, Chativ automatically crawls the website — reading every page the way a search engine would — and builds its AI knowledge base from the content already there. Pricing pages, service descriptions, FAQs, policies: the AI learns from what exists and begins answering visitor questions immediately.
When the AI encounters a question it cannot answer, it does not leave visitors at a dead end. Instead, it captures their name, email address, and question for human follow-up — converting an unanswerable inquiry into a warm lead rather than a lost visitor. For service businesses where a single new client may be worth hundreds or thousands of dollars, this automatic lead capture frequently delivers the platform’s highest return.
Built for Small Business Reality

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Chativ is designed around how small businesses actually operate: limited time, no IT support, and no appetite for platforms that require weeks of setup before they deliver value.
Pricing starts at $29 per month — a flat rate with no per-conversation fees, no seat charges, and no surprise overage bills. When website content changes, Chativ re-crawls automatically so the AI stays current without manual retraining.

“The best AI customer service for small business isn’t a scaled-down version of what enterprises use,” said Philipp, founder of Chativ. “It’s something designed from the ground up for a business where the owner handles customer service between client calls. Setup in minutes, not weeks — and maintenance that doesn’t require a developer.”

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Closing the Small Business AI Gap

AI-powered customer service has become standard for companies with dedicated support teams. According to Juniper Research, AI chatbots will handle 85% of all customer service interactions by 2027. Small businesses — the majority of businesses globally — have been largely excluded from this shift by cost and complexity barriers.

Chativ’s auto-crawl approach changes the calculation: any business with a reasonably complete website can deploy functional AI customer service without additional content creation, technical resources, or ongoing configuration work.

Transcend Launches Agentic Assist and MCP Server to Help Enterprises Move at the Speed of AI

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McCrossen Marketing Launches AI-Powered Marketing Intelligence Platform, Defining a New Category for Business Marketing

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New products make it easier than ever for privacy teams to automate compliance workflows, reducing days of manual work to minutes of guided review.

accesso Acquires Dexibit, Establishing the First Cross Platform AI and Analytics Platform for Visitor Attractions

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accesso Acquires Dexibit, Establishing the First Cross Platform AI and Analytics Platform for Visitor Attractions

Acquisition launches accesso IntelligenceSM, connecting guest and operator data, insight and action across the entire operation

accesso Technology Group, the leading global technology provider to leisure, entertainment and cultural markets, announced the acquisition of Dexibit Limited, the only AI and analytics platform purpose-built for the visitor attractions industry.

Operators generate vast amounts of data, but it often sits in disconnected systems and takes too long to turn into action. As operators face increasing complexity across systems, data and rising guest expectations, the ability to turn insight into action quickly is becoming critical.

The acquisition launches accesso Intelligence, a new AI powered cross platform capability designed to help operators make smarter, faster decisions across their business, connecting data across accesso’s own solutions, as well as across the third party systems operators rely on daily.

Dexibit brings the industry’s only cross vendor intelligence platform, built across more than 100 systems and years of aggregated data and benchmarks, powering smarter decisions through unified data, conversational insight and forecasting. Dexibit already serves some of the world’s most recognized cultural and entertainment institutions, including leading aquariums, museums and visitor attractions.

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With accesso Intelligence, operators will close the gap between information and actionable decisions:

  • Unify all data into a single intelligence layer, including ticketing, food, retail, operations, weather, visitor reviews, local events and data from third party and external systems.
  • Put insight in the hands of every decision-maker through conversational AI, so an operations manager can ask “Why did last Saturday underperform?” and quickly get an answer and act.
  • Drive action and informed decisions across strategy and operations and feed updates directly into accesso ticketing, virtual queuing and retail systems.

Venue operators typically lack the scale or in-house expertise to build an enterprise-wide analytics capability on their own. While many technology providers are introducing AI features within individual products, accesso Intelligence represents a fundamentally different approach. Bringing cross platform capability to every system operators rely on, it helps them optimize their entire operation, bringing together data, decisions and action in one place.

Rather than an incremental step, this acquisition represents a significant leap forward, rapidly accelerating accesso’s ability to deliver these capabilities to its customers. accesso will also continue to embed AI into its individual products as part of their natural evolution, but this acquisition represents something broader: an intelligence layer that sits above any single product and strengthens the entire ecosystem.

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“Putting operators first is at the core of what we do by helping them optimize their business, and AI is now becoming an important part of how we deliver on that,” said Steve Brown, CEO at accesso. “With Accesso intelligence, we are bringing together data across all the systems they use, including Accesso solutions, to create a more complete and connected view of their operation. We are delighted to welcome the Dexibit team to Accesso as we deliver on this vision.”

“I am incredibly proud that Dexibit is joining Accesso, whose unparalleled global reach spans the world’s most iconic attractions,” said Angie Judge, CEO of Dexibit. “As we got to know the team, it genuinely felt like home. Together we can build something genuinely transformative for the industry, combining intelligence and execution to help venue operators move faster with insightful decisions in an increasingly complex landscape. We can’t wait to get started.”

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AI Enhances CRM Automation, Orchestration, ISG says

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Doba Launches Unified AI Platform to Consolidate Every Dropshipping Automation Tool in One Place

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Companies must transform CRM architecture to benefit from advanced platforms that improve marketing, sales, services, new research says

Customer relationship management software plays an increasingly central role in enterprises, enhancing customer engagement to maximize growth and profitability, according to new research from global AI-centered technology research and advisory firm Information Services Group (ISG) .

Companies need a shared, trusted view of customer interactions to create long-term value. They rely on CRM to align marketing, sales and service teams and inform strategy and execution throughout the organization.

The 2026 ISG Buyers Guides for Customer Relationship Management provide the rankings and ratings of 52 software providers and their products for the structured management of customer and prospect information. The series includes guides to providers of sales engagement, digital commerce and partner relationship management software, plus emerging CRM players. The research finds that CRM has expanded beyond record-keeping and sales force automation, becoming an AI-enhanced foundation for revenue operations, customer experience strategy and performance management.

“Companies need a shared, trusted view of customer interactions to create long-term value,” said Barika Pace, director of research, office of revenue, at ISG. “They rely on CRM to align marketing, sales and service teams and inform strategy and execution throughout the organization.”

Enterprise requirements for CRM have grown with the rise of digital commerce and the need to engage with customers across multiple channels, ISG finds. Companies increasingly seek CRM software that improves productivity, forecast accuracy and customer lifetime value. Though many organizations still use legacy CRM systems characterized by heavy reliance on spreadsheets and manual data entry, the need for integration to support workflow automation has increased.

AI has already enhanced CRM platforms through features such as predictive scoring, segmentation optimization and service routing, which still primarily augment human decision-making rather than act autonomously, the research finds. Agentic AI has recently emerged to take this trend one step further, enabling systems to plan and execute actions within certain parameters. These advancements are moving CRM from passive record-keeping toward active orchestration of revenue and customer engagement processes.

Enterprises can measurably improve sales productivity, forecast reliability and customer retention using CRM with advanced AI features, but they need to transform their CRM architectures first, ISG says. Through 2027, more than half of enterprises will not be able to deploy the latest AI technology for sales, customer service and partner relationships because their processes and system designs are outdated, ISG predicts. This may limit revenue growth.

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Companies choosing CRM software should consider the provider’s AI strategy, architectural flexibility and ecosystem maturity in addition to functionality, ISG says. They should look for a balance between platform configurability and governance so adapting processes over time will not create excessive technical debt or customizations that limit future innovation.

ISG rates software providers in five evaluation categories: Overall, Product Experience (incorporating Capability and Platform) and Customer Experience. Providers ranked in the top three for each evaluation category are named as Leaders. Within each platform category, those that meet the greatest proportion of our evaluation criteria are named as Overall Leaders.

For its 2026 Buyers Guide for Customer Relationship Management, ISG evaluated software providers across five platform categories — Customer Relationship Management, CRM Platforms, CRM Marketing, CRM Sales and CRM Services. A total of 21 providers were assessed: Adobe, Aptean, BUSINESSNEXT, Constant Contact, Creatio, HubSpot, Infor, Microsoft, monday.com, Odoo, Oracle, Oracle NetSuite, Sage, Salesforce, SAP, ServiceNow, SugarCRM, Veeva, Zendesk, Zoho and ZoomInfo.

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For the Buyers Guide for CRM Emerging Providers, ISG evaluated eight providers: Creatio, EngageBay, Insightly, Maximizer, Nutshell, Pipedrive, SuperOffice and Workbooks.

The Buyers Guide for Digital Commerce includes evaluations of 18 providers: Adobe, BigCommerce, HCLSoftware, HubSpot, Infosys, Microsoft, Optimizely, Oracle, Oracle NetSuite, Rithum, Salesforce, SAP, Shopify, Sitecore, Squarespace, VTEX, Wix and Zoho.

For the Buyers Guide for Partner Relationship Management, ISG evaluated 13 providers: Channelscaler, HubSpot, impact.com, Impartner, Microsoft, Mindmatrix, Oracle, Oracle NetSuite, Partnerize, Salesforce, SAP, Unifyr and Zoho.

The Buyers Guide for Sales Engagement covers 19 providers: Allego, Apollo, Bigtincan, Gong, Highspot, HubSpot, Microsoft, monday.com, Oracle, Oracle NetSuite, Outreach, Sage, Salesforce, SAP, Seismic, Showpad, SugarCRM, Zoho and ZoomInfo.

Across the Buyers Guides for Customer Relationship Management, Partner Relationship Management, Digital Commerce and Sales Engagement, Salesforce and Oracle were the top two Overall Leaders in all platform categories. Hubspot was the third-place Overall Leader in six platform categories, while ServiceNow and Microsoft ranked third in one platform category each.

In the Buyers Guide for Customer Relationship Management Emerging Providers, Creatio was the top Overall Provider, followed by SuperOffice and Pipedrive.

In addition, the following providers were rated as Exemplary or Innovative in each Platform Category:

Customer Relationship Management: HubSpot, Oracle and Salesforce were rated Exemplary. Microsoft was rated Innovative.

CRM Platforms: HubSpot, Microsoft, Oracle, Salesforce, Veeva and Zoho were rated Exemplary. SAP was rated Innovative.

CRM Marketing: Adobe, Creatio, HubSpot, Microsoft, Oracle, Salesforce, Veeva and Zoho were rated Exemplary. SAP was rated Innovative.

CRM Sales: Creatio, HubSpot, Microsoft, Oracle, Oracle NetSuite, Salesforce, ServiceNow and Zoho were rated Exemplary. SAP and SugarCRM were rated Innovative.

CRM Service: HubSpot, Microsoft, Oracle, Salesforce, ServiceNow and Zoho were rated Exemplary. SAP and Zendesk were rated Innovative.

Customer Relationship Management Emerging Providers: Creatio, SuperOffice and Workbooks were rated Exemplary. Pipedrive was rated Innovative.

Digital Commerce: Adobe, HubSpot, Microsoft, Oracle, Oracle NetSuite, Salesforce and Zoho were rated Exemplary. HCLSoftware and SAP were rated Innovative.

Partner Relationship Management: HubSpot, Microsoft, Oracle, Salesforce and Zoho were rated Exemplary. Oracle, NetSuite and SAP were rated Innovative.

Sales Engagement: HubSpot, Microsoft, Oracle, Oracle NetSuite, Salesforce, SAP and Zoho were rated Exemplary. Apollo, Outreach and SugarCRM were rated Innovative.

“The CRM software an enterprise chooses can significantly influence its ability to adapt to new technologies and increase revenue and profit over time,” said David Menninger, executive director, software research, ISG. “This research evaluates CRM offerings based on features, integration capability and provider strategy so companies can find the best set of technologies for their CRM transformation.”

The ISG Buyers Guides for Customer Relationship Management are the distillation of more than a year of market and product research efforts. The research is not sponsored nor influenced by software providers and is conducted solely to help enterprises optimize their business and IT software investments.

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AdLift Launches Advanced Sentiment Analysis in Tesseract as AI Reshapes Brand Perception

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AdLift Launches Advanced Sentiment Analysis in Tesseract as AI Reshapes Brand Perception

AdLift, a global digital marketing agency, announced the launch of an advanced Sentiment Analysis feature within its proprietary AI visibility platform, Tesseract.

Why now?

AI-driven search is rapidly changing how brands are discovered and evaluated. Industry research shows that over 60% of search experiences now end without a website click, as users increasingly rely on AI-generated answers. These responses often shape brand perception before a customer visits a brand’s website.

At the same time, traditional sentiment tools continue to score entire articles rather than evaluate how the brand itself is positioned, leading to distorted perception metrics.

Tesseract’s new Sentiment Analysis framework addresses this gap with a structured, brand-specific methodology designed for AI-influenced discovery environments.

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What Makes It Different

Unlike conventional monitoring tools, Tesseract:

  • Excludes content where the brand is not mentioned to eliminate scoring distortion
  • Evaluates sentiment strictly based on how the brand is talked about
  • Calculates sentiment only against total brand mentions, not total content volume

This ensures clarity, consistency, and defensible reporting for leadership teams.

Sentiment Classification Framework

  • Positive Sentiment: Assigned when the brand appears in positive or neutral contexts reflecting trust, leadership, innovation, growth, or customer value
  • Negative Sentiment: Assigned only when the brand is directly associated with criticism, complaints, or reputational risk

By focusing only on the brand, Tesseract helps brands with:

  • Reputation management
  • Competitive benchmarking
  • AI visibility audits
  • Campaign impact evaluation
  • Media risk assessment

“With AI Overviews and large language models influencing brand discovery, perception can no longer be measured loosely,” said Prashant Puri, Co-Founder and CEO at AdLift. “We built this framework to remove noise and give brands precise, defensible intelligence they can confidently present in the boardroom.”

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Arron Goodin, Managing Director, AdLift Inc., said, “Our AI-powered Sentiment Analysis feature marks a step forward in helping brands move beyond data to real understanding—enabling faster, sharper, and more human-centric marketing decisions.”

Tesseract tracks brand visibility across Google AI Overviews, ChatGPT, Gemini, Deepseek, Perplexity, and other generative platforms. The addition of advanced Sentiment Analysis strengthens its position as a specialized AI visibility and brand intelligence platform built for the evolving search ecosystem.

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