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BMC Advances Trusted AI Orchestration With New Control-M Capabilities

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BMC Advances Trusted AI Orchestration With New Control-M Capabilities

Agentic AI innovations and expanded integrations enable enterprises to operationalize AI workloads reliably at scale

BMC, a global leader in software solutions enabling business faster than humanly possible, announced new AI innovations for the Control-M solution that advance the orchestration foundation enterprises need to compete, differentiate, and thrive in an AI-powered world.

For most large enterprises, the complexity of modern data, application, and AI pipelines is growing faster than the operational foundations needed to run them reliably. Orchestrating business processes across hybrid environments and diverse technologies is among the most difficult challenges of the AI era—and a key reason that enterprises come to BMC first when trust and reliability are essential.

New AI capabilities and innovations include:

New Agentic AI Capabilities for AI-Powered Orchestration Across Workflows

The Control-M solution expands its agentic AI investments with new AI-driven capabilities across the workflow lifecycle to help teams build, run, and manage workflows more efficiently. These innovations simplify workflow planning and job creation, analyze workflow performance and failures to accelerate troubleshooting, and generate automated operational insights that highlight optimization opportunities. With these updates, users can reduce manual effort, accelerate design, and proactively surface risks within governed, enterprise-grade boundaries.

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Orchestration of AI Agents

The Control-M solution also expands its AI orchestration integrations, making it easier for organizations to orchestrate AI agents and AI-powered tasks alongside data pipelines, applications, and operational workflows. New integrations with solutions such as CrewAI, LangGraph, and Snowflake Cortex enable teams to run AI-driven processes with the same reliability, visibility, and governance expected from every Control-M workflow. By connecting AI agents into enterprise workflows, Control-M helps organizations move AI from isolated experiments to trusted production assets that deliver business value safely and at scale.

AI for Multiple Environments – Jett (the Control-M AI advisor) and AI Workflow Creator Available to More Customers

BMC is expanding the power of generative AI across deployment models by bringing advanced AI capabilities to self-hosted Control-M environments. With Jett, the Control-M AI advisor, and the AI Workflow Creator, organizations can benefit from intelligent workflow creation and in-context guidance regardless of where they run the Control-M solution. This expansion enables more customers to leverage modern assistive technologies to design, understand, and manage workflows more efficiently.

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New Integrations and Connectivity for Easier Orchestration 

The Control-M solution also expands connectivity and integration capabilities to help organizations automate faster across hybrid environments. Enhancements to Managed File Transfer improve performance, reliability, and governance, as well as new high availability and disaster recovery support, which strengthen data movement. Expanded agentless execution for Windows and new out-of-the-box integrations further reduce scripting, accelerate onboarding, and enable more scalable automation across applications and data platforms.

“Across every industry, AI is accelerating, and workflows are becoming more dynamic than ever. The enterprises that lead will be the ones that build a trusted orchestration foundation now,” said Abhijit Kakhandiki, senior vice president and general manager for Digital Business Automation at BMC. “By integrating generative and agentic AI directly into the orchestration lifecycle, we are ensuring that AI is not just an isolated tool, but a trusted, governed, and scalable foundation for execution of mission-critical workloads.”

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FreeWheel Integrates Tunnl Audiences to Accelerate Political and Public Affairs Targeting Across CTV for 2026 Campaigns

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FreeWheel Integrates Tunnl Audiences to Accelerate Political and Public Affairs Targeting Across CTV for 2026 Campaigns

In adding latest data partner to its platform, FreeWheel cements position as a one-stop shop for political buyers targeting audiences with precision at scale and a streamlined process from strategy to activation.

FreeWheel, the leading global technology platform for the streaming advertising ecosystem, announced a direct integration with Tunnl, giving political and issues-based advertisers streamlined access to Tunnl’s syndicated audiences within FreeWheel buying workflows across premium CTV.

“As campaigns and issues-focused organizations head toward the 2026 midterms, speed and flexibility are key,” said Michelle Eule, Executive Director, Data and Measurement Partnerships at FreeWheel. “Audience strategy can shift day to day and activation needs to keep pace. With Tunnl now available on-platform, our buyers can more quickly find and activate audiences built for political and adjacent use cases, spanning topics such as issues, advocacy, policy and reputation.”

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With 2026 political ad spending projected to reach $10.8 billion overall, CTV is expected to hit $2.5 billion, becoming a must-buy channel for campaigns and advocacy organizations. At the same time, voters are increasingly issue-led: 65% say they vote based on issues, not party, and 75% prefer political ads focused on issues—raising the bar for accurate, relevant targeting and credible environments for messaging.i

By adding Tunnl’s political and issues-based voter segments to its growing roster of directly integrated political data partners, FreeWheel is giving political buyers a more centralized way to reach key voter audiences with speed and precision on CTV. Highlights of this integration include:

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  • Issue-driven scale: Tunnl supplies 3,500+ syndicated, issue-driven segments designed to help reach swim voters, primary voters, and policy influencers.
  • Precision at platform scale: FreeWheel delivers a ~90% match rate against eligible FreeWheel CTV inventory to help reduce waste and improve addressability.ii

“Making Tunnl’s marketplace audiences available within FreeWheel’s buying workflows empowers political and public affairs teams to streamline the process for activation,” said Jeff Teng, SVP of Partnerships at Tunnl. “This is the type of direct workflow that allows teams to focus on message relevance and campaign strategy, not the mechanics for delivery. When every second counts in campaign season, this partnership turns time-consuming processes into rapid execution against behavior-based audiences.”

As campaigns brace for a competitive election cycle, political advertisers cannot afford wasted impressions, slow workflows or unreliable targeting. FreeWheel delivers the scale, accuracy and speed required to win on CTV—combining premium inventory access with advanced data, identity and activation tools built specifically for fast-moving political strategies. And with 49% of potential voters saying they take action after seeing a political ad, reaching the right audiences in trusted premium video environments is increasingly tied to measurable outcomes.

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SmartBear Survey: 70% of Software Experts Concerned that Application Quality is Suffering Given Faster AI Code Development

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CNaught Launches Carbonlog, the First Tool to Track the Carbon Footprint of AI-Assisted Software Development

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60% have already experienced quality issues in the past year as development outpaced testing

SmartBear, helping teams build, test, and ship quality software at AI speed and scale, released a survey that finds 70% of software experts say application quality has already degraded as AI accelerates development, and 60% already experienced quality issues in the past year as application development outpaced testing.

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Quality is suffering and anxiety is rising. 70% of survey respondents are concerned that application quality is already suffering.

The survey of 273 CTOs, CIOs, software developers, quality assurance directors, and others–almost three quarters at director level or above – at mostly midsize to enterprise software and SaaS companies also found that:

  • AI code generation has hit critical mass. 93% have adopted AI coding tools. Forty percent use it to generate more than 40% of code. In 12 months, 60% of survey respondents expect it to generate more than 40% of code. Almost 7 of 10 respondents worked at companies with more than $50 million in revenue.
  • Quality is suffering and anxiety is rising. 70% of survey respondents are concerned that application quality is already suffering; 67% worry about quality decline in next 12 months as AI produces applications faster; 60% experienced quality issues in the past year as development outpaced testing.
  • Bottlenecks expected as manual testing remains common. Almost 7 of 10 (68%) are worried that faster AI development will create testing bottlenecks. Almost 60% of teams do more than 40% of their application testing manually. Almost 9 of 10 (87%) have partially or fully automated more than 20% of application testing, yet 92% still test manually.
  • Leadership doesn’t fully grasp the risk. 65% of survey respondents are concerned about under-investment in application-level testing vs. code-based testing. Also, nearly two-thirds (65%) worry that decision-makers don’t recognize the risks of faster AI development without equivalent improvements in testing.

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“These results underscore growing concern that the speed of software development, driven by AI, is outpacing the ability of teams to test the resulting applications and ensure they work as they’re supposed to,” says Dan Faulkner, CEO of SmartBear. “It only takes one failure that can tank a customer experience and destroy brand good will. The good news is that a new solution, in the form of autonomous testing by a team of agents, has arrived to augment manual or inadequate testing automation, setting a new standard for application integrity. Now companies need to get on board and invest in closing these gaps to ensure that applications avoid failure, delays, and continuously deliver the outcome that businesses and consumers expect.”

SmartBear today launched BearQ™, the agentic QA system with always-on teammates that autonomously explore and test applications, delivering continuous application integrity so software works as intended with governance to operate at AI speed and scale. BearQ’s capabilities enable autonomous, adaptive, software application testing that also discovers and prioritizes testing to the most important workflows.

More than nine of 10 (92%) of survey respondents see autonomous testing as a quality improvement and almost all are increasing testing investment this year. Almost nine in 10, 86%, are increasing testing investments by more than 11% this year.

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Neat Appoints Javed Khan as CEO to Lead AI Transformation

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Neat Appoints Javed Khan as CEO to Lead AI Transformation

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Neat, the pioneering video technology company, announced the appointment of Javed Khan as Chief Executive Officer (CEO). Khan, a seasoned technology executive with a proven track record in AI-driven transformation, takes the helm as the company gears up for global expansion. The appointment of Khan signals Neat’s commitment to deeper investments in artificial intelligence as the engine for its next wave of innovation. With a career defined by bold leadership, technical mastery, and a product-first mindset, Khan is uniquely positioned to unite sophisticated edge computing with Neat’s simple, elegant user experiences.

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“Neat is a product-centric company that is relentlessly focused on simplicity and intelligence. I’m honored to join the team and energized to be working alongside some of the brightest minds as we define the next generation of collaboration.” – Javed Khan

Khan joins Neat following his tenure at Aptiv, where he served as Executive Vice President of Intelligent Systems, building intelligent edge solutions across automotive, transportation, robotics, aerospace, and defense. Prior to Aptiv, Khan was the Senior Vice President and General Manager of Cisco Collaboration, where he led the turnaround and modernization of the Cisco Webex portfolio across video conferencing, video devices, and contact center solutions during and after the pandemic.

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“Javed brings a rare combination of deep technical expertise and proven enterprise leadership,” said OJ Winge, on behalf of the Neat Board. “His experience scaling complex, AI-enabled systems and leading global collaboration platforms positions Neat to build upon our technology leadership and accelerate our long-term growth.”

“Recent advancements in edge computing and large language models are allowing us to embed AI into edge devices running in the conference room. This architectural shift will allow us to unlock entirely new collaboration experiences. I am excited to join Neat as we have the unique opportunity to lead this transition,” said Javed Khan, CEO of Neat. “Neat is a product-centric company that is relentlessly focused on simplicity and intelligence. I’m honored to join the team and energized to be working alongside some of the brightest minds as we define the next generation of collaboration.”

Khan’s arrival comes at a pivotal time as Neat transitions from disruptive challenger to dominant enterprise force, deepening its focus on intelligent edge computing and accelerating toward public market readiness. His long-standing relationships within the industry—including with members of the Neat founding team—promises a seamless leadership transition.

Khan succeeds Janine Pelosi, who led Neat through a period of significant expansion, strengthened the company’s operational foundation, and broadened its product portfolio.

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Snowflake Launches Project SnowWork, Bringing Outcome-Driven AI to Every Business User

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AKOOL Launches Agentic Canvas to Redefine How Work Gets Done with AI

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Project SnowWork brings agentic intelligence directly to business users’ desktops to accelerate productivity and get work done faster

  • Designed to orchestrate planning, analysis, and execution, Project SnowWork is an autonomous enterprise AI platform that helps business users accelerate everyday work

  • Launching in research preview to a limited set of customers, Project SnowWork handles complex, multi-step tasks and delivers real, data-driven outcomes to business users

  • Project SnowWork brings Snowflake’s vision for the agentic enterprise to life, where enterprise data, intelligence, and action are connected in a governed way

Snowflake , the AI Data Cloud company, announced the research preview of Project SnowWork, a new autonomous enterprise AI platform designed to help business users massively accelerate workflows. Acting as a proactive AI partner, Project SnowWork empowers individuals and teams across the business to simply ask for what they need and have Project SnowWork securely complete multi-step tasks based on conversational prompts.

Whether it’s building a board-ready forecast slide deck, creating a spreadsheet that identifies churn risks, or uncovering supply chain bottlenecks, Project SnowWork autonomously executes simple or complex workflows end-to-end to drive action.

“We are entering the era of the agentic enterprise, ushering in a fundamentally new way to work. This shift is about much more than technology, it’s about unlocking new levels of productivity and efficiency by embedding intelligence directly into the operating fabric of the enterprise,” said Sridhar Ramaswamy, Chief Executive Officer, Snowflake. “Project SnowWork looks to put secure, data-grounded AI agents on every surface, so business leaders and operators can move from question to action instantly. By elevating AI from experimentation to enterprise-grade autonomous execution, Project SnowWork serves as the secure foundation for how modern enterprises will get work done in the AI era.”

The rise of the agentic enterprise is not just about answering questions with AI, rather, it’s a shift to using AI to drive decisions and action. This future will require enterprises to connect intelligence, applications, and enterprise data and context into a trusted foundation that can continuously coordinate action at scale.

Project SnowWork makes this possible by bringing Snowflake’s enterprise data platform and AI capabilities directly to business users through a simple, outcome-driven desktop experience. More than a productivity agent, Project SnowWork can:

  • Plan and autonomously execute simple or complex multi-step workflows across governed Snowflake data to deliver finished outputs — from reprioritizing sales territories to executive-ready presentations.
  • Generate analysis with recommended actions, turning insights into prioritized next steps tailored to each business role.
  • Securely orchestrate data, AI, and enterprise systems to complete tasks end-to-end, reducing backlogs and accelerating decisions.

Unlike general-purpose AI agents, Project SnowWork is built on a single enterprise-wide source of truth with governed metrics, shared business definitions, cross-cloud interoperability, and built-in security and auditability.

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Key capabilities Project SnowWork delivers:

  • Pre-Built, Persona-Specific Skills: Provides pre-configured, role-aware AI “profiles” for finance, sales, marketing, operations, and more that understand common business workflows, terminology, and KPIs, accelerating time-to-value.
  • Multi-Step Task Completion: Enables the AI platform to autonomously plan and complete complex workflows — querying data, applying analysis, synthesizing insights, generating structured deliverables, and preparing next steps within a single interaction — compressing reporting cycles and eliminating manual coordination across systems.
  • Built-In Security and Access Controls: Automatically enforces Snowflake’s role-based access controls (RBAC), masking policies, audit logging, and data governance rules — ensuring AI actions operate within the same trusted perimeter as enterprise data.

“Enterprises have invested heavily in data platforms and AI, yet the last mile of translating governed data into everyday business outcomes remains largely manual,” said Sanjeev Mohan, Principal at SanjMo. “Project SnowWork represents a meaningful shift from AI as an analytical tool to AI as an execution layer embedded directly into enterprise workflows. By grounding autonomous task execution in trusted, governed Snowflake data, shared business definitions, and cross-cloud and cross-domain interoperability, the company is extending its platform from a system of insight to a system of action, which is where measurable business value is ultimately realized.”

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AI Built for Action, Not Just Insights

Organizations have invested heavily in modern data platforms and AI, yet most business users still rely on analysts, static dashboards, and siloed systems to answer basic questions. Today’s AI tools often require technical expertise and lack the enterprise data foundation needed to deliver trusted, actionable outcomes.

The result is a widening gap between AI’s potential and its real business impact. Project SnowWork closes that gap by securely embedding AI into the flow of work, enabling every employee to operate with the speed, precision, and insight once reserved for data specialists.

It allows business users to move from intent to actions and outcomes without filing tickets with data teams or searching for static dashboards. For example, Sales Operations teams can now automate repetitive reporting, work across multiple data sources without coding, and generate presentation-ready deliverables in minutes instead of days.

Advancing Snowflake’s Enterprise AI Architecture

Snowflake’s portfolio of AI products enables every employee to use AI on trusted, governed data so organizations can embrace the agentic enterprise where intelligence drives secure, data-driven action across the business.

For business users, Snowflake Intelligence is the enterprise intelligence agent built to turn all the knowledge within an organization into trusted business insights. It enables every employee to ask complex questions in natural language and move beyond the “what” to uncover the critical “why.” Grounded in governed enterprise data and shared business context, it delivers transparent, verifiable answers inside Snowflake’s secure perimeter. Project SnowWork extends this idea by helping teams act on those insights and execute multi-step workflows directly on top of trusted Snowflake data.

For builders that want to turn complex data engineering, analytics, machine learning, and agent-building tasks into simple, informed interactions, Cortex Code is a data-native AI coding agent that automates and accelerates end-to-end enterprise development. It generates production-ready code, orchestrates workflows, and enforces best practices, enabling teams to move from prototype to deployment with speed and confidence.

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ActiveCampaign is First to Launch AI that Acts, Not Just Answers at Spring Innovation Keynote

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Enigma Launches KYB Compliance Agent on Google Cloud Marketplace

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New proactive, agent-to-user AI and personalization bring enterprise-grade marketing intelligence to small and mid-size businesses

ActiveCampaign, a leading autonomous marketing platform, will spotlight two first-to-market capabilities at its Spring 2026 Innovation Keynote on April 8: agent-to-user AI, where AI autonomously initiates insights and recommendations on behalf of marketers based on performance signals, and AI personalization that allows businesses to tailor Active Intelligence to their brand voice and priorities.

“The future of marketing isn’t just AI that responds when asked; it’s AI that works alongside you,” said Jason VandeBoom, Founder and CEO of ActiveCampaign. “These innovations move us beyond prompt-and-respond systems to AI that monitors performance, identifies opportunities, and recommends action automatically, helping customers move forward faster.”

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Two First-to-Market Capabilities

  • AI that works for and ahead of you: ActiveCampaign’s Active Intelligence acts as an always-on marketing partner, continuously monitoring campaigns and automations, flagging issues, and surfacing next-best actions without constant manual intervention. This includes:
    • AI Performance Intelligence: Continuously analyzes campaign and automation performance against billions of signals across the platform, identifying what is outperforming, what is underperforming, and why. For example, a retailer might be alerted that open rates are 20% above comparable brands, with AI pinpointing the specific creative, timing, and audience factors driving the lift.
    • AI Content Optimization: Monitors campaign engagement and automatically diagnoses when performance drops. Identifies the factors most likely impacting results (e.g., subject lines, preheaders or personalization strategies) and recommends adjustments informed by patterns across the account.
    • Autonomous Campaign Optimization: Analyzes campaign and automation performance in real time, identifying opportunities to improve audience targeting, send timing, and engagement frequency. Generates optimized versions of existing automations or proposes new flows to improve underperforming campaigns, ready for marketer review and activation.
  • AI Behavior Customization: ActiveCampaign is the first marketing automation platform to introduce custom AI instructions, allowing SMBs to configure how Active Intelligence operates across the platform. Businesses define brand voice, priorities, and strategic preferences once, and the AI applies them everywhere, shaping insights, recommendations, campaign creation, and automations so outputs consistently reflect how the business actually markets. Agency partners can apply and manage these AI behaviors across all the accounts they oversee, tailoring intelligence to each client while scaling their own expertise and best practices across their portfolio.

“Before ActiveCampaign, we were spending time we didn’t have trying to figure out why our marketing wasn’t working,” said Chris Clark, Founder and CEO at racquet sport event company, Toss and Spin. “Now the platform tells us clearly where to focus. Instead of digging through reports or guessing what to optimize, we act on clear recommendations, and we’re now at 90% facility capacity.”

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What to Expect from the Spring 2026 Innovation Keynote

The event will provide an inside look at how ActiveCampaign is advancing its autonomous marketing vision, featuring:

  • The next chapter of autonomous marketing: Chief Product & Technology Officer Chai Atreya will share how agent-to-user recommendations and AI personalization advance ActiveCampaign’s mission of AI that works for and alongside marketers.
  • Live demos of first-to-market capabilities: A deep dive into autonomous AI recommendations and personalization, and what proactive, brand-tailored AI means for SMBs.
  • Customer and partner success stories: A customer panel featuring the Founder and CEO of Toss and Spin and the Founder and CEO of Zen Anchor and Analytics Mates, along with a partner panel featuring the Founder and General Manager of eduConverse and the President of Financialize, sharing how Active Intelligence has driven results for their businesses.

The Bigger Picture

As AI reshapes how businesses engage customers, marketers need platforms that go beyond mere task execution. They need systems that proactively surface opportunities, take action, and continuously improve performance. With recent enhancements, like the acquisition of Feedback Intelligence, ActiveCampaign is expanding its ability to power autonomous marketing workflows. These capabilities create a continuous improvement engine where AI agents learn and improve over time, delivering AI that users trust like an extension of their team.

“Many AI tools in marketing are reactive, which is useful when you know what to ask for, but limited otherwise,” said Roger Beharry Lall, Research Director, SMB Marketing Applications and Agents at IDC. “What ActiveCampaign is doing with agent-to-user AI, surfacing recommendations before marketers ask, is what the industry, and especially small businesses with limited expertise, really needs. AI that doesn’t just respond, but initiates. Combined with brand-level customization, SMBs now have capabilities that traditionally required an enterprise-level investment.”

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TVEyes Announces Significant Investment in Product Innovation and Content

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TVEyes Announces Significant Investment in Product Innovation and Content

The leading media intelligence company for global audio and video coverage announces the launch of its new, premium media player for API partners, while also expanding its global monitoring footprints across APAC content and 19 additional European Union markets.

TVEyes, the global leader in broadcast, podcast and online video media monitoring and brand intelligence, is announcing a series of innovations designed to advance its media intelligence platform for partners worldwide. This includes the launch of a new premium and integrated media player that delivers an enhanced media editing and viewing portal for customers, as well as a significant expansion in global reach through deep broadcast source additions across Europe and Asia Pacific.

The new premium media player is an intuitive solution designed for API partner platforms and their end users to quickly search, analyze and act on media content across broadcast and podcast sources. This provides TVEyes partners with a more efficient API solution and an advanced and unified viewing experience for their customers.

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Built with a flexible architecture, the player simplifies integration for partner platforms while maintaining a consistent playback experience across media types. For end users, features such as a visual filmstrip with thumbnail previews and transcript-based tools make it easier to locate, analyze, and share key segments.

The launch reflects TVEyes’ continued investment in content and innovation, and in the long-term success of its API partners. Built on a scalable global infrastructure and decades of indexed media content, TVEyes transforms broadcast, podcast and online video signals into structured data and actionable media intelligence. This enables partners to deliver deeper insights, faster discovery and more powerful media analysis to their end users.

“The launch of our new premium media player is an important part of our mission to make the world’s most impactful media signals instantly accessible and actionable,” said Daren Benzi, Chief Commercial Officer at TVEyes. “Through ongoing investments in infrastructure, data, content and technology, TVEyes provides our partners and their customers with a more powerful way to capture the most influential media, surface the most relevant data, and stay ahead of media events that impact brands and drive public conversations.”

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Alongside the player launch, TVEyes is expanding its global media intelligence footprint to meet the growing demand for international media visibility. The company is increasing coverage across the European Union with 19 new markets, bringing a broader range of national and regional broadcast sources into a single unified feed.

New markets include Belgium, Bulgaria, Cyprus, Finland, Greece, Luxembourg, Malta, Poland, and Portugal, with additional expansion underway across Albania, Croatia, Hungary, Iceland, Latvia, Lithuania, Norway, Romania, Slovakia, and Slovenia. The growth builds on recent launches in Malaysia and Indonesia and further expands the breadth of TVEyes’ global media coverage.

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ZINFI Technologies Launches ZINFI.AI: The Industry’s First Knowledge Base for Partner Orchestration & Ecosystem Management (POEM™)

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ZINFI Technologies Launches ZINFI.AI: The Industry's First Knowledge Base for Partner Orchestration & Ecosystem Management (POEM™)

New AI-Powered Platform Provides a Comprehensive Framework for IT and Manufacturing Leaders to Design, Build, and Grow High-Performance Ecosystems; Beta Access Announced for April 2026.

ZINFI Technologies, Inc., announced the launch of ZINFI.AI, a revolutionary global knowledge base dedicated to Partner Orchestration & Ecosystem Management (POEM™). Representing the next evolution beyond traditional partner management, ZINFI.AI provides the methodology, tools, and intelligence to help organizations transition from transactional relationships to strategic ecosystem orchestration.

ZINFI.AI is specifically designed for leaders in the IT and Manufacturing sectors who are responsible for building and scaling complex partner ecosystems. The platform combines advanced artificial intelligence with decades of partner expertise to deliver a “human-in-the-loop” approach, ensuring that AI-generated recommendations are validated by industry nuance and strategic thinking.

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The First-of-its-Kind POEM™ Framework
At the heart of ZINFI.AI is the POEM™ framework, which addresses the complete partner lifecycle through three interconnected layers:

  • The 8 Lifecycle Stages: A roadmap for the entire partner journey, including Strategize, Recruit, Onboard, Enable, Market, Sell, Incentivize, and Accelerate.
  • The 6Ps Assessment Model: A comprehensive evaluation tool covering Partners, Programs, Processes, People, Platforms, and Performance KPIs to ensure ecosystem maturity.
  • AI-Powered Intelligence: Contextual recommendations and pattern recognition built on a foundation of over 5,000 expert articles and 100+ specialized tools and templates.

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Beta Access and Ecosystem Expansion
ZINFI also announced that by early April 2026, the ZINFI.AI platform will be opened to a select group of beta users. These participants will gain early access to a deeper knowledge base and an expanded suite of POEM-specific tools designed to help organizations navigate the complexities of modern partner relationships and market dynamics.

“POEM™ is not simply a new name for old practices; it represents a fundamental reimagining of how organizations drive sustainable competitive advantage,” said Sugata Sanyal, founder and CEO of ZINFI. “With ZINFI.AI, we are providing the industry’s first specialized knowledge base that gives IT and Manufacturing leaders the ‘map’ to navigate the future of ecosystem-led growth.”

Sector-Based Intelligence
Recognizing that manufacturing ecosystems operate differently from software-based technology alliances, ZINFI.AI delivers tailored guidance for specific industry contexts. This ensures that organizations receive relevant, high-impact strategies rather than generic “one-size-fits-all” best practices.

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AI Development Company IIH Global Expands AI Development Services in the Global Market

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AI Development Company IIH Global Expands AI Development Services in the Global Market

IIH Global – WordCamp Ahmedabad 2019 a.k.a 3.0

Leading AI Development Company IIH Global launches advanced AI Development Services UK to help businesses scale with AI-driven solutions.

IIH Global, a globally recognized AI Development Company, announced the expansion of its advanced development Services in UK, reinforcing its position as a trusted technology partner for businesses seeking intelligent, scalable, and future-ready solutions.

As a dedicated AI Development Company, our mission is to deliver AI Development Services that create real business value and long-term growth for our clients.”

— Sanjay Panchal, Director at IIH Global

As organizations across industries accelerate their digital transformation journeys, the demand for reliable and results-driven AI Development Services continues to grow. IIH Global is addressing this demand by delivering tailored AI solutions that help businesses improve efficiency, unlock insights, and create competitive advantages in an increasingly data-driven world.

With a strong presence in the United Kingdom, IIH Global’s AI Development Services are specifically designed to meet the needs of UK-based startups, SMEs, and enterprises. The company combines global delivery capabilities with local market expertise, ensuring solutions that align with business goals, compliance requirements, and evolving industry standards.

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“Our focus as an AI Development Company is not just to build intelligent systems, but to deliver real business impact, we help organizations move from AI exploration to full-scale implementation with measurable outcomes”, said Milan Patel, CEO from IIH Global.

IIH Global offers end-to-end AI Development Services, covering strategy, consulting, development, deployment, and ongoing optimization. These services are built to support businesses at every stage of their AI journey, from initial concept validation to enterprise-wide implementation.

As a leading AI Development Company, IIH Global specializes in creating custom AI solutions tailored to specific business challenges. Whether it is predictive analytics, intelligent automation, or data-driven decision-making systems, each solution is engineered to deliver high performance and scalability.

The company’s AI Development Services in UK also include advanced machine learning model development, enabling businesses to process large volumes of data and extract actionable insights. These capabilities empower organizations to make faster, smarter decisions while reducing operational risks.

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In addition, IIH Global provides natural language processing (NLP) solutions as part of its AI Development Services, allowing businesses to enhance customer engagement through intelligent chatbots, conversational AI platforms, and automated support systems.

Automation remains a core focus, with AI-powered workflows designed to eliminate repetitive tasks, improve accuracy, and increase productivity. Through its comprehensive AI Development Services UK, IIH Global enables businesses to streamline operations and optimize resource utilization.

One of the key strengths of IIH Global as an AI Development Company is its ability to integrate AI into existing systems. This ensures that businesses can adopt advanced technologies without disrupting their current operations, making the transition to AI seamless and efficient.

IIH Global’s AI Development Services are already delivering measurable results across industries such as healthcare, fintech, retail, logistics, and construction. Businesses are leveraging these solutions to enhance customer experiences, improve operational efficiency, and drive sustainable growth.

With its expanding footprint in the UK, IIH Global is strengthening its commitment to delivering high-quality AI Development Services UK. The company’s local presence enables closer collaboration with clients, faster project delivery, and a deeper understanding of market-specific needs.

Quality, security, and scalability remain central to IIH Global’s approach as an AI Development Company. The company follows best practices and international standards to ensure that all AI solutions are robust, secure, and built for long-term success.

Looking ahead, IIH Global plans to further enhance its AI Development Services by investing in emerging technologies and continuous innovation. The company aims to help businesses stay ahead in a rapidly evolving digital landscape by providing intelligent solutions that drive real results.

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Canto Deepens Commitment to Product-Led Brands with DAM for Products

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Canto Deepens Commitment to Product-Led Brands with DAM for Products

A single connected system that gets product content to market faster and keeps it accurate everywhere it lives.

Canto, the leader in AI-powered digital asset management, announced continued capability expansion of DAM for Products, its platform for brands that manage, launch, and sell physical goods. As product content complexity accelerates across ecommerce, social marketplaces, and retail channels, Canto is deepening its investment in the tools and integrations that help teams create, manage, and activate product content at scale—including new Shopify and Amazon integrations.

Marketing, ecommerce, and creative teams waste too much time chasing down assets, correcting channel inconsistencies, and manually pushing updates across storefronts. DAM for Products eliminates that. Built on Canto’s leading digital asset management platform, it connects product images, SKUs, and attributes in one place — and activates them across every channel automatically.

“Getting product content right across every channel is one of the hardest operational challenges brands face, and the cost of inconsistency compounds the more channels you add,” said Alan Beiagi, Chief Product and Technology Officer, Canto. “DAM for Products gives brands the infrastructure to move faster without sacrificing accuracy or consistency, and our expanding integrations make those benefits even stronger.”

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New integrations with Shopify and Amazon enable brands to synchronize product assets and metadata from Canto directly into their storefronts, eliminating manual uploading and ensuring that every product page reflects current and brand-approved content. Canto Media Publisher, part of DAM for Products, ensures approved assets are delivered via CDN at the speed and scale commerce requires. Canto is also expanding its partner ecosystem to support additional commerce endpoints, with new syndication partnerships underway to help customers distribute product assets and information across more channels.

“Before Canto DAM for Products, our product data was scattered across Word docs, spreadsheets, emails, and team conversations, which created a real risk of using outdated or incorrect information,” said Christine Baker, Senior Graphic Designer & Production Lead at Marini SkinSolutions. “Now, we can keep our product imagery and data in one place and ensure updates are reflected in Shopify.”

For marketing and ecommerce teams managing frequent product launches, catalog updates, and multi-channel distribution, DAM for Products provides a single connected system that links creative assets to commerce outcomes. The result is product content that moves faster and arrives consistently across every channel.

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MorningAI Appoints CPG Veteran Tina Wung as Chief Growth Officer

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MorningAI Appoints CPG Veteran Tina Wung as Chief Growth Officer

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Former AB InBev executives reunite to help brands turn AI into real revenue at MorningAI

MorningAI, an AI platform built specifically for brands, announced the appointment of Tina Wung as Chief Growth Officer. In this role, Wung will lead go-to-market strategy, customer growth, and strategic partnerships as the company accelerates its mission to become the #1 AI platform brands rely on to grow their business.

The appointment comes at an inflection point for the industry. Foundation models are commoditizing, and the value is shifting to the application layer – the layer that understands industry, brand, and workflow. MorningAI has built that layer for brands, and Wung will help bring it to brand teams around the world.

Wung brings over 20 years of experience building iconic brands and driving growth at Kraft Foods, Mondelez International, MillerCoors, and Anheuser-Busch InBev. At AB InBev, she was a founding member of the “Beer Garage,” the company’s pioneering digital center of excellence, where she helped shape how the world’s largest beer producer integrated emerging technology into its marketing operations. She went on to build marketing and revenue engines from the ground up at B2B technology companies, driving topline growth and international expansion.

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“We believe every brand will be managed with AI within three years,” says Chris Curtis, Founder and CEO of MorningAI. “Tina has steered companies through multiple eras of digital transformation — from early e-commerce to programmatic and now AI. Her track record of scaling technology adoption across enterprise and challenger brands is exactly what we need as we define this category.”

“Today brands are under more pressure to deliver results faster with fewer resources,” said Tina Wung, Chief Growth Officer at MorningAI. “And while there’s been an explosion of one-off AI tools, almost none are built from the brand’s strategic and tactical needs. MorningAI is unique because it’s built by brand marketers who know the challenges they face each day, and our mission is to empower them with the best technology to grow their business.”

MorningAI captures millions of data points about a company including its BrandDNA, CustomerDNA, and ProductDNA and uses that intelligence to power the work growth teams do every day: from creative briefing and content generation to campaign planning, competitive intelligence, and retail sell-in. The result is a single platform that replaces the patchwork of disconnected tools and agency dependencies brands rely on today.

MorningAI builds technology that helps brands grow. Founded by Chris Curtis, a former AB InBev and McKinsey & Company executive who led marketing campaigns for some of the world’s most iconic brands, the company was created to make that same level of intelligence and execution accessible to every brand. MorningAI is purpose-built for brands, with no conflicting media, agency, or platform incentives. Based in San Francisco, California.

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SEO Vendor Secures Patent for Content Governance Architecture Required by AI Marketing Agents

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Icepick Web Design & SEO Adds AI Search Optimization to Local SEO Packages for Service Contractors

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SEO Vendor’s newly granted patent, the Dynamic Content Generation Method (US 12,572,752 B2), enables AI agents to produce brand-governed content autonomously.

SEO Vendor, a white-label SEO platform serving digital marketing agencies, announced that the United States Patent and Trademark Office has granted US Patent 12,572,752 B2, “Dynamic Content Generation Method,” on March 10, 2026.

The company is positioning the patent not primarily as an AI writing technology, but as the architectural specification for a content execution layer required by autonomous AI marketing agents.

The patent covers a method in which AI-generated content is governed by five integrated mechanisms: input relevance scoring, weighted variable management, layout-aware generation, iterative quality correction, and section orchestration for long-form assets. These mechanisms collectively solve the governance problem that emerges when AI agents execute content production tasks without human review of each output.

The system ensures that content produced autonomously meets a defined standard of brand fidelity, structural correctness, and brief alignment before being committed to downstream actions such as publication, ad activation, or catalog update.

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“The conversation about this patent has changed since we filed it. AI agents are not a roadmap item anymore — they are in active commercial deployment. When an agent produces content as part of executing a marketing goal, something has to govern what that agent writes. This patent describes that governance layer.” — Jim Liu, CEO, SEO Vendor

Why the Agent Era Changes the Stakes

In tool-based AI content workflows, human operators review every draft before it is published. The human serves as the quality gate between generation and deployment. In agent-based workflows, where autonomous systems plan, execute, and deploy without supervision of each action, that quality gate must be structural rather than supervisory.

The absence of a structural governance layer in agent content production creates three failure modes at scale: input pollution (ungoverned agents overweight irrelevant context retrieved from multiple tools), structural mismatch (agents produce generic output that must be manually restructured for destination page architectures), and single-pass variance (without a correction loop, agent output quality is determined by a single model generation rather than a verified standard).

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SEO Vendor’s patented architecture addresses all three. The relevance scoring layer ensures only strategically relevant inputs shape agent content output. The layout-aware generation mechanism writes into destination architectures rather than producing generic long-form content. The iterative correction loop tests output against the brief and regenerates with specific correction instructions until the output meets the defined standard.

Commercial Deployment and Validation

The patented technology has been commercially deployed in SEO GPT 2 since December 2023, where it operates as the Dynamic Topic Relations (DTR) feature layer. DTR has been used by hundreds of agency clients to produce content governed by four alignment dimensions: keyword alignment, brand alignment, site alignment, and instructional alignment.

The commercial deployment record provides validation that laboratory specifications cannot: the architecture has operated at production scale, across multiple client portfolios and content program types, for more than two years before receiving patent protection.

Implications for Platform Builders and Enterprise Operators

SEO Vendor is making the patent’s architecture available to agency clients through SEO GPT 2 and is in exploratory discussions with AI platform developers regarding the application of the content execution layer in broader agentic contexts. The company views the patent as positioning DTR as a content execution protocol — a governed output specification that any agentic system producing marketing content needs to implement or license.

The patent also covers a broad range of output types beyond long-form articles, including meta descriptions, ad copy, landing page CTAs, FAQs, schema markup, and social media content — reflecting its scope as a content supply chain specification rather than a single-format writing tool.

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AdsDrama Introduces Short Drama Advertising Platform Amid Growth in Digital Content Monetization

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Game Changer Marketing Solutions Earns Google Partner Status, Recognizing Excellence in Digital Advertising

AdsDrama, a digital platform focused on short drama content and online advertising, has introduced an ecosystem designed to integrate content distribution, advertising services, and user participation. The launch comes as short-form video continues to expand globally, shaping how content is consumed and monetized across digital channels.

What Is AdsDrama?

AdsDrama is a platform centered on short drama marketing and digital advertising monetization. It connects content creators, advertisers, and users through a structured system intended to support content distribution and advertising delivery.

Unlike traditional content platforms where users primarily consume media, AdsDrama incorporates a participation-based model. Users can engage with certain platform functions related to content promotion and advertising processes.

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The platform operates through a structured framework designed to simplify user access and participation.

User Onboarding

New users can register and access an introductory interface that presents the platform’s core features, including its advertising workflows and operational structure.

This step is intended to provide a general understanding of how the platform functions.

Participation Through Structured Levels

After onboarding, users may choose to access different participation levels. Each level provides access to specific platform features, which may include:

  • Defined activity parameters
  • Access to advertising-related tasks
  • System-based allocation of activities

The platform indicates that certain processes are managed through internal systems that handle distribution and performance tracking.

Automated Advertising System

AdsDrama utilizes a data-driven system to distribute short drama content across various digital channels, including:

  • Social media platforms
  • Short video networks
  • Other online content distribution channels

The platform states that it applies audience targeting and traffic allocation tools to support content visibility.

Revenue Model

According to AdsDrama, the platform incorporates multiple revenue streams as part of its business model:

  • Online advertising revenue derived from ad placements and traffic distribution
  • Content monetization, including paid access to selected short drama content
  • Brand collaborations, such as sponsored content and integrations
  • IP commercialization through licensing and content expansion
  • Technology services related to advertising delivery and data optimization

The company states that this diversified structure is intended to support ongoing platform development.

  • Key Features of AdsDrama
  • Data-Driven Optimization

AdsDrama reports that it uses analytics and performance tracking tools to monitor advertising campaigns and refine delivery strategies.

Structured Financial System

The platform describes a multi-layer account system designed to manage user balances, which may include:

  • Available balances
  • Processing stages
  • Pending allocations

This structure is intended to support internal accounting processes and system organization.

Standardized Withdrawal Mechanism

AdsDrama indicates that it applies standardized procedures for withdrawals within its operational framework, aiming to streamline processing and reduce administrative complexity.

Why AdsDrama Is Growing

  • Industry trends may help explain the emergence of platforms such as AdsDrama:
  • Growth of short-form content, as short video and serialized formats continue to attract broad audiences
  • Expansion of digital advertising, with businesses increasing spending on online channels
  • Gradual shift toward participation-based models, where users engage beyond passive content consumption

Is AdsDrama Worth Exploring?

AdsDrama may be relevant to individuals and organizations interested in:

  • Digital advertising platforms
  • Content distribution models
  • Emerging forms of online engagement

As with any platform, users are encouraged to review publicly available information and consider potential risks before engaging.

AdsDrama represents an approach that combines short-form content with digital advertising infrastructure and user-facing features. As the digital media landscape continues to evolve, platforms of this kind reflect ongoing experimentation in content distribution and monetization models.

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UST Extends Tricentis Partnership Across APAC, with Expanded Focus on Australia and New Zealand

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UST Extends Tricentis Partnership Across APAC, with Expanded Focus on Australia and New Zealand

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Partnership offers greater access to outcome-driven engineering solutions and strengthens UST’s presence in two critical markets

UST, a leading AI and technology transformation solutions company, announced the extension of its longstanding partnership with Tricentis to new markets across the Asia-Pacific region. The partnership is focused on supporting organisations in Australia and New Zealand through enterprise-scale test automation and quality engineering capabilities.

Tricentis is a globally recognised provider of continuous testing solutions and a leader in AI-augmented software quality testing, offering AI-enabled technology designed to support large and complex application landscapes. Through this expanded partnership, UST will leverage Tricentis’ platform to support organisations in modernising software testing practices, reducing test cycle timelines and strengthening release confidence across Agile and DevOps operating models.

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As organisations across Australia and New Zealand continue to modernise digital platforms and adopt cloud-native architectures, quality assurance teams face increasing pressure to support faster, more frequent releases without compromising software quality, stability or customer experience. Traditional testing approaches can struggle to scale in these environments, increasing delivery risk and slowing time to market. However, the UST-Tricentis partnership enables scalable, model-based test automation that strengthens system resilience across complex environments, reduces manual effort, and shortens test cycles while maintaining high quality standards.

The expansion of the UST-Tricentis partnership reinforces UST’s commitment to supporting organisations across Australia and New Zealand with outcome-driven quality engineering solutions aligned to regional enterprise complexity, regulatory considerations and delivery maturity.

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“We are proud to expand our partnership with Tricentis to Australia and New Zealand, two of the most dynamic markets in the APAC region. Increasing automation options for software testing will bring greater flexibility to organisations as they seek to grow and expand, allowing for reduced time to market and a better overall user experience,” said Kumaran C R, Vice President and Managing Director, UST Australia.

“This year will be pivotal for software development and quality testing as digital complexity increases both opportunity and vulnerability. At Tricentis, we are committed to ensuring that our technology delivers real value to customers while reducing risk, but we need the right partners to help us execute this. We are pleased to be working with UST, who share our mission to empower organisations in achieving their goals of high-quality software,” said Damien Wong, Senior Vice President, APAC, Tricentis.

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Reply Announces a Partnership With Mistral AI to Develop Sovereign and Enterprise-grade Artificial Intelligence Solutions

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Reply Announces a Partnership With Mistral AI to Develop Sovereign and Enterprise-grade Artificial Intelligence Solutions

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Reply announced a new partnership agreement with AI leader Mistral AI aimed at accelerating the adoption of local, customisable, secure and enterprise-grade generative AI solutions at scale.

At the core of the collaboration is a shared vision of frontier AI, designed to enable organizations to adopt AI solutions while ensuring data control, protection of sensitive information, compliance with regulatory requirements and deployment on European infrastructures.

By combining Mistral AI’s high-performance AI models with Reply’s expertise in designing and customising Large Language Models using proprietary and domain-specific data, organisations in highly regulated sectors – such as public administration, defence, financial services, healthcare, telecommunications, and energy & utilities – can deploy tailored AI solutions that integrate seamlessly with existing systems. These solutions support the transformation of operational processes, enhance decision-making and deliver measurable business value, while ensuring the highest standards of security, data sovereignty and compliance.

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A second core pillar of the Reply–Mistral AI collaboration is advanced AI model customisation. Reply will become a Mistral Forge global launch partner, enabling its teams to design and train Large Language Models on proprietary and specialised datasets tailored to complex, data-intensive domains and ready for operational use.

Under this agreement, both companies are collaborating with the Austrian Academy of Sciences, focusing on the creation of a customised Large Language Model for the Greek language, spanning ancient, medieval, and modern texts. The model is designed to support researchers working with ancient Greek sources by providing advanced text search and text completion capabilities. It is trained on a highly specialised corpus that includes published ancient Greek literature, digitised inscriptions and papyri from multiple collections and selected modern Greek texts, curated from publicly available and scholarly sources. Within this initiative, Reply and Mistral AI collaborate on the training and evaluation of the model to ensure accuracy, reliability and practical relevance, demonstrating how sovereign AI infrastructures and advanced model customisation capabilities can be effectively combined even in highly specialised and data-intensive domains.

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“The integration of the Mistral AI ecosystem with Reply’s experience in developing AI solutions tailored to specific business processes will enable organisations to deploy custom, secure and governable models, designed to ensure data sovereignty and data protection, that integrate seamlessly into existing operational workflows and scale reliably within enterprise architectures.” said Filippo Rizzante, CTO of Reply

Mistral AI’s Chief of Revenue Marjorie Janievicz said: We are proud to partner with Reply. Together, we will help organizations deploy AI that meets their needs for performance, control, and customisation.”

Through this collaboration, Reply and Mistral AI provide a trusted and secure environment on European infrastructures, accelerating the adoption of advanced AI solutions while enabling organizations with stringent regulatory, privacy and data protection requirements to fully leverage generative AI.

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Nintex Unveils Agentic Business Orchestration Capabilities to Scale AI-led Automation Across Organizations

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Nintex Unveils Agentic Business Orchestration Capabilities to Scale AI-led Automation Across Organizations

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Nintex unveils new native AI capabilities that enable organizations to build and orchestrate AI agents alongside people, workflows, and systems

Nintex, a global leader in agentic business orchestration, announced Nintex Agent Designer and Nintex Orchestration, new agentic AI and business orchestration capabilities available to select customers natively in Nintex CE. Together, these help organizations design and orchestrate AI agents alongside people, workflows, and core systems to deliver consistent results at scale.

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Organizations now need platforms that support both deterministic and non-deterministic execution patterns, allowing AI agents to operate where judgment is required, while structured controls guide high-stakes transactions.

“Rather than replacing structured processes with fully autonomous systems, organizations today want platforms that support both deterministic and agentic approaches across a single orchestration framework,” said Arnal Dayaratna, Research Vice President, Software Development at IDC. “A blended approach allows organizations to apply agentic AI where judgment and interpretation add value, while maintaining conditional workflow control where precision and compliance are required. This ability to coordinate both models within business workflows is a critical requirement for scaling AI adoption.”

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As organizations accelerate AI adoption, many are rethinking how it is embedded into day-to-day operations. Nintex’s AI UNLESS report found that 64% of business leaders are embedding or consolidating AI into broader automation strategies to create unified platforms that orchestrate people, systems, and AI agents. However, without orchestration, AI initiatives often remain disconnected from workflows, human decision points, and core business systems, limiting business impact and creating governance risk.

Organizations now need platforms that support both deterministic and non-deterministic execution patterns, allowing AI agents to operate where judgment is required, while structured controls guide high-stakes transactions. To operationalize this blended model, organizations must be able to build, deploy, and orchestrate agents as part of governed orchestration design, not as standalone automation experiments.

New Nintex Agent Designer and Orchestration capabilities will enable enterprises to design, deploy, and coordinate AI agents within real business workflows

Nintex Orchestration allows builders to transform complex monolithic processes into modular execution phases with dynamic progression between phases. Agent Designer allows builders to embed agents into this phase-based orchestration to ensure that AI agents, human decision-makers, and business systems operate in a coordinated and governed manner. This blended execution model enables organizations to:

  • Apply AI where judgment and interpretation add value
  • Preserve conditional workflow control where precision and compliance are critical
  • Design for 24/7 intelligent execution
  • Establish the foundation for measuring and improving agent performance over time

“AI for modern business cannot be purely agentic, nor purely deterministic; it must support both,” said Niranjan Vijayaragavan, Chief Product and Technology Officer at Nintex. “Our agentic business orchestration vision is built on enabling deterministic workflows and adaptive agents to operate within the same process framework, alongside human oversight. With Agent Designer and Orchestration, organizations can apply AI where judgment adds value while preserving control where precision and compliance matter most.”

Nintex Agent Designer enables teams to build adaptive AI agents, including supervisor and multi-agent patterns, that operate directly within orchestrated workflows.

These agents can:

  • Plan and execute multi-step actions
  • Retrieve contextual information to inform decisions
  • Escalate to humans when deterministic control is required

Nintex Orchestration enables dynamic case-based process execution that evolves over time. Instead of rigid, linear flows, orchestration supports modular workflow phases that can advance, repeat, escalate, or reroute based on real-time context.

This design allows organizations to:

  • Support both deterministic rules-based processing and probabilistic, agent-driven decision support
  • Use enterprise tools and automation components such as RPA, document processing, and system connectors
  • Maintain full visibility across long-running process lifecycles
  • Scale complex operations without sacrificing control
  • Manage exceptions as a natural part of execution

By supporting multiple orchestration design patterns, including adaptive case management, organizations can structure work in a way that reflects how real business processes unfold. By embedding agents inside governed orchestration, rather than deploying them as standalone tools, organizations can balance autonomy with oversight, ensuring AI-driven actions align with business rules, compliance requirements, and operational goals.

“This is a game-changer. Nintex Agent Designer represents the future of workflow automation, combining intelligence with governance in a powerful new way,” said Kevin Schall, CEO, AiGS – Ai Global Solutions. “With capabilities such as supervisor agents, Nintex is enabling organizations to introduce advanced AI-driven automation while maintaining the oversight and trust that users expect from agentic AI systems.”

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DIDWW Integrates phone.systems Cloud PBX With ActiveCampaign CRM

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Market Logic Network Develops Business Knowledge Systems for AI-Ready Operations

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DIDWW, a global telecom provider of premium-quality SIP trunking and two-way SMS services, has announced a new integration between its cutting-edge cloud PBX, phone.systems™, and ActiveCampaign CRM. Designed to help businesses streamline customer communications, this integration synchronizes contact data, automatically logs calls, and provides deeper visibility into customer interactions – all within a single connected workflow.

With this integration, phone.systems™ users can connect their ActiveCampaign accounts to automatically match inbound and outbound calls with CRM contacts. Calls are logged directly within ActiveCampaign, enabling sales and support teams to maintain accurate, up-to-date communication histories without the need for manual data entry. In addition to call logging, automatic contact synchronization between the two platforms ensures that customer information remains consistent across systems at all times. Further enhancing the integration, AI-powered call insights within phone.systems™ provide teams with greater visibility into conversation outcomes, helping organizations optimize customer engagement and overall operational efficiency.

“Integrating phone.systems™ with ActiveCampaign allows businesses to connect their communication workflows directly with their CRM environment,” said Vladas Juozapavicius, phone.systems™ Product Manager at DIDWW. “By automating contact synchronization and call journaling, organizations can save time, reduce manual work, and gain more value from every customer interaction.”

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This latest addition expands the growing list of CRM platforms supported by phone.systems™. Alongside ActiveCampaign, DIDWW’s cloud PBX integrates effortlessly with leading CRM solutions such as Salesforce, HubSpot, Pipedrive, Zendesk, Zoho and monday CRM, enabling organizations to seamlessly align voice communications with their existing business workflows.

The ActiveCampaign integration can be configured directly within the phone.systems™ interface.

DIDWW is a licensed telecom operator specializing in fully compliant phone numbers, voice, and messaging services across 90+ countries. The company is continuously expanding its coverage and currently holds telecom licenses in 30 countries, with its own numbering resources in 18 of those regions.

The company’s innovative cloud PBX solution, phone.systems™, enables businesses to create streamlined communication systems. Enhanced by AI-driven tools, seamless CRM integrations, and multiplatform apps for Windows, iOS, macOS, and Android, phone.systems™ delivers an unparalleled user experience.

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ClearML Introduces Platform Management Center to Orchestrate Multi-Tenant AI Infrastructure at Enterprise Scale

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Indexly Announces Mission to Build the AI Visibility OS for the Modern Internet

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New unified control plane enables enterprises to maximize AI infrastructure ROI with centralized management, real-time FinOps, and zero DevOps bottlenecks.

ClearML, the leading platform for GPU management and enterprise AI infrastructure, announced the general availability of its Platform Management Center, a centralized control plane purpose-built for IT administrators and AI platform leaders managing multi-tenant AI infrastructure at enterprise-scale. Designed for cloud service providers and enterprises, the Platform Management Center transforms complex GPU environments into managed services with cloud-like user experience, granular governance, and real-time financial transparency, enabling organizations to maximize infrastructure ROI, enforce strict tenant isolation, and attribute costs with precision in real time while accelerating AI initiatives.

As enterprises invest billions in GPU infrastructure to support growing AI workloads, the operational challenge has shifted from hardware acquisition to intelligent utilization and governance. Without unified AI service visibility across teams and business units, organizations face a costly paradox: resources sit idle in one department while AI teams queue for critical AI workloads, and administrators lack reliable billing and cost attribution mechanisms. The result is wasted GPU and AI service capacity, unpredictable infrastructure costs, hardware investments that underdeliver on ROI, and delayed AI initiatives that impact competitive advantage and time-to-market.

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The Platform Management Center addresses these enterprise-scale challenges by providing a single control plane that abstracts infrastructure complexity while delivering the granular control, security, and financial visibility that enterprise IT and FinOps teams require. Unlike point solutions that address individual infrastructure components, ClearML’s approach provides comprehensive multi-tenant orchestration with built-in governance and a detailed billing dashboard, enabling organizations to operate their AI infrastructure as a true internal cloud service. This eliminates DevOps bottlenecks, reduces time-to-value for AI projects, and transforms GPU infrastructure from a cost center into a measurable business enabler.

“As enterprises make significant investments in AI-optimized GPUs, they need centralized visibility and control to extract full value from those investments,” said Moses Guttmann, CEO and Co-Founder, ClearML. “The bottleneck has shifted from hardware capacity to controlled processes – organizations struggle to match the right resources to the right teams and workloads efficiently. The Platform Management Center solves exactly that by giving IT the control and financial visibility they need, while ensuring AI teams can move fast without being blocked by infrastructure. The new comprehensive dashboard provides IT teams with real-time cost metrics and configurable chargeback mechanisms for monthly invoicing, creating a viable business model for internal GPUaaS and AIaaS.”

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Enterprise-Grade Capabilities

Tenant-specific Compute Fabric Configuration
IT administrators define configuration templates that automatically provision compute and storage resources per tenant—enforced at workload execution with zero manual intervention. Each team receives secure, isolated access to precisely the environment they need, enabling organizations to onboard new AI projects with fully provisioned and isolated compute environments automatically. A global pharmaceutical company, for example, can instantly provision separate, compliant environments for drug discovery teams while maintaining strict regulatory isolation—all without generating IT support tickets.

Centralized Application Management Interface
A marketplace-style interface enables admins to curate and deploy AI tools directly to specific teams with automatic version tracking, status monitoring, and permissions management is handled automatically. Every tenant accesses exactly what they need, nothing more. Enterprise IT teams can instantly deploy specific versions of fine-tuning tools to selected business units without exposing them organization-wide, and when updates roll out, manage rollouts per tenant from a unified interface—critical for organizations with stringent change management requirements.

Global Cross-Tenant Dashboard & Unified Telemetry
Admins gain comprehensive visibility into resource consumption — compute hours, storage, and token usage — across all tenants without any direct access to the workloads or data within each tenant’s environment. Infrastructure is fully transparent while tenant confidentiality is preserved. A platform admin can instantly deploy a specific version of a fine-tuning tool to one team without exposing it to others, and when an update rolls out, they can manage rollouts per tenant from a single interface.This enables enterprise platform teams to optimize resource allocation across hundreds of AI projects while maintaining strict data governance and compliance requirements.

Built-In FinOps & Lifecycle Management
Real-time cost tracking enables sophisticated chargeback and showback models, supporting forward-looking AI budget planning and ROI analysis. Tenant onboarding, modification, and offboarding are managed through streamlined workflows that maintain security, compliance, and operational efficiency. Cloud service providers hosting multiple enterprise clients can automatically track each client’s compute consumption in real time, generate accurate monthly invoices, and securely offboard churned clients—all without custom tooling or manual processes.

Enterprise Impact
With the Platform Management Center, organizations can operate their GPU infrastructure as a true managed service with comprehensive visibility into costs, resources, and utilization across every business unit. The platform delivers the governance, cost attribution, and tenant isolation that enterprise AI initiatives demand, while reducing infrastructure management overhead by up to 75% and improving GPU utilization rates.

“This solution addresses the operational maturity gap that many enterprises face as they scale AI beyond pilot projects,” added Guttmann. “We’re giving CIOs and AI platform leaders the tools they need to run AI infrastructure just like they run all other aspects of their business—with clear accountability, predictable costs, and measurable outcomes.”

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Truelist Launches Unlimited Email Validation at a Fixed Monthly Price

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MTS Staff Writer
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VitaMail Launches V5, Introducing an All-in-One Email Campaign Workflow Platform

Email marketers and developers can now validate unlimited emails with no credits or overages — starting at $39/month, with a free plan available.

Truelist, an email verification platform, announced the availability of its unlimited email validation service — a flat-rate subscription model that eliminates the per-credit pricing that has long frustrated email marketers, sales teams, and developers.

Email validation shouldn’t feel like a guessing game. We built Truelist so teams can clean their lists and improve deliverability without worrying about credits or overage fees.”

— Corey Haines, CMO, Truelist

Unlike virtually every other email validation service on the market, Truelist does not charge per email verified. Competitors typically sell validation credits in bundles, leaving users with surprise overages, unused credits, and unpredictable costs at scale. Truelist replaces that model entirely with a simple monthly subscription that includes unlimited email validations — validate as many emails as your business demands, every month, for one predictable price.

Truelist’s platform offers three validation strategies — Quick (Syntax + DNS), Standard (+ SMTP check), and Enhanced (+ Catch-all detection) — giving users the flexibility to balance speed and accuracy based on their needs. Its Enhanced Validation uses advanced heuristics and third-party data cross-referencing to deliver up to 2x more accurate results compared to standard validation, cutting through “catch-all” domains that trip up competing tools.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

Paid plans start at $39 per month, with no limits on the number of emails you can validate. New users can get started for free with 200 validations included — no credit card required.

Email validation shouldn’t feel like a guessing game or a budget line item that balloons as you grow. Truelist was built so that teams can clean their lists, protect their sender reputation, and improve deliverability without worrying about running out of credits or getting hit with overage fees.

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

Truelist integrates with popular tools including Mailchimp, HubSpot, Zapier, Kit, and Clay, and offers a full developer API for real-time form validation and custom workflows for bulk email validation. The service is designed to get users up and running in under 2 minutes.

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New PhotoShelter Research Finds AI Accelerating Content Creation While Engagement Lags

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prweb
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Hyland Strengthens its Product Leadership as Agentic AI Raises the Stakes for Regulated Industries

Logos | PhotoShelter

Report shows 54% of marketers say AI is now an essential creative partner, and 96% agree human oversight is still critical to preserving brand and content originality

PhotoShelter, the leading digital asset management (DAM) platform today releases its new report, AI in Marketing: The Hidden Cost of Faster Content, surveying nearly 400 marketing, communications, and creative professionals about how AI is changing content workflows.

The findings show that while AI has dramatically accelerated production, many teams are still struggling to capture audience attention and maintain brand differentiation.

A large majority (69%) of marketing professionals now use AI in their asset and content workflows, up from just 59% in 2023, and 54% say AI has become an essential creative partner. At the same time, 41% report difficulty driving engagement, nearly half struggle to reach wider audiences (46%) and struggle standing out from competitors (45%).

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

“AI has removed many of the barriers that once slowed down content creation,” said Andrew Fingerman, CEO of PhotoShelter. “But speed alone doesn’t create impact. Brands still need originality, human judgment and strong creative direction to produce content audiences actually trust, relate to and engage with.”

Additional findings from the report include:

  • AI is making it easier to produce content, but harder to stand out. 87% of marketers using AI rely on it for written content, 71% use it for idea generation, but 80% worry the technology will flood audiences with generic content.
  • The content review bottleneck hurts revenue. 46% say content gets stuck in review, 41% in approvals, and 70% say these delays impact revenue-generating work.
  • Leaders see performance, but creators feel the friction. Executives are more likely to report measurable AI benefits than the individual contributors navigating review cycles and revisions.
  • AI is saving time across marketing teams. 78% say it frees up time for meaningful work, 63% say it reduces manual tasks, and professionals estimate AI saves about 15 hours per week (six of which are spent on content generation alone).
  • Human creativity remains central to marketing. Despite widespread AI adoption, 96% say human oversight is critical to preserving originality in campaigns.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

“AI has made it easier than ever to create content, but marketing teams are still managing the rest of the process manually, when they don’t need to,” said Christina Kyriazi, SVP of Marketing at PhotoShelter. “They are missing an opportunity to use AI to automate the workflows around content, like organizing and tagging assets, routing approvals and reducing repetitive work. Eliminating the mundane allows creative teams to focus on the ideas that actually drive engagement.”

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