Project 100 Opens Office in Oakland California and Introduces New Marketing Services to Small Businesses

June 4, 2026

Project 100 Opens Office in Oakland California and Introduces New Marketing Services to Small Businesses

Project 100 LLC, a digital marketing and advertising agency built for local business owners, today announced the opening of its new office in Oakland, California. The expansion reflects the agency’s continued growth and commitment to helping more small businesses across the East Bay and greater San Francisco Bay Area improve their online presence, attract new customers, and compete in today’s digital marketplace.

Recyclable websites’ offer businesses a leaner, more agile way to test the market without massive overhead.”

— My Nguyen, Director Of Marketing

The new Oakland location will serve as a satellite hub for Project 100’s creative, marketing, and client support operations, building on the company’s foundation in Silicon Valley. Located in downtown Oakland at a shared workspace called Informal Spaces, the office gives the agency a stronger presence in the East Bay and allows Project 100 to better serve business owners in Oakland, Alameda, Berkeley, San Leandro, Hayward, Walnut Creek, and surrounding communities.

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As part of the expansion, Project 100 is also introducing new service options designed specifically for non-tech business owners who need simple, practical marketing solutions without complicated systems or unnecessary costs. The agency’s goal is to make websites, advertising, SEO, and AI tools easier to understand and easier to use for everyday businesses such as restaurants, contractors, medical offices, real estate professionals, service providers, retail shops, and local organizations.

One of the agency’s newest offerings is what Project 100 calls “recyclable websites.” This approach gives business owners a faster and more affordable way to launch short-term websites or landing pages for promotions, events, seasonal campaigns, new services, product testing, or special offers. Instead of investing heavily into a permanent website for every idea, businesses can quickly launch a professional page, test the market, and later reuse or repurpose the design for future campaigns.

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“Many business owners have great ideas, but they do not always want to spend months and thousands of dollars building something before they know it will work,” said My Nguyen, Director of Marketing at Project 100. “Recyclable websites give them a simple way to test an idea, promote an event, or launch a campaign without wasting time or money.”

Project 100 is also expanding its website support and security services to help businesses maintain stronger, more reliable online platforms. These services include long-term website development, website updates, maintenance, performance improvements, and added protection for business websites. The goal is to give business owners peace of mind knowing their website is not only professional, but also secure, stable, and built to grow with their company.

In addition, Project 100 is introducing practical AI-powered marketing support for local businesses. Rather than focusing on complicated technology, the agency uses AI to help business owners create better content, understand customer behavior, improve advertising performance, and make smarter marketing decisions. These tools are designed to save time, reduce guesswork, and help businesses get more value from their marketing budget.

Project 100’s services include website design, local SEO, Google Business Profile optimization, Google Ads, social media advertising, content creation, landing pages, branding, automation, and ongoing marketing support.

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Optilogic Launches Ada, the First Agentic AI System Purpose-Built for Supply Chain Design

prweb

June 4, 2026

Optilogic Launches Ada, the First Agentic AI System Purpose-Built for Supply Chain Design

Ada brings an entirely new level of intelligence to supply chain design—autonomously handling the heavy lifting so teams can optimize the network they have and design the network they need, at the speed business demands

Optilogic, the leader in AI-first supply chain design and optimization, today announced the general availability of Ada, a breakthrough agentic AI system that fundamentally transforms how supply chains are modeled, analyzed, and continuously redesigned.

Announced live to more than 300 customers, partners, and industry leaders today at the company’s annual user conference in Detroit, Ada marks a major industry milestone: shifting supply chain teams from manually building models and reacting to change to generating intelligence, evaluating scenarios, and accelerating decisions at enterprise scale.

Ada is a next-generation agentic AI system accessible anywhere, that can cleanse and enrich data, build baseline models, analyze scenarios, and deploy insights across the enterprise. Users can “Ask Ada” any question in an embedded chat interface inside the Optilogic platform, so anyone in the organization—from executives to planners—have answers at their fingertips.

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“Historically, design was slow and inaccessible,” said Don Hicks, CEO of Optilogic. “That’s not anyone’s fault—technology just hadn’t risen to the challenge yet. Today, that changes. Ada turns design into a fast and continuous process accessible by anyone, so it stops being a periodic initiative and starts being your biggest competitive advantage.”

Ada’s launch follows an Early Adopter Program in which more than 40 Optilogic customers validated the capabilities ahead of general availability. “Optilogic helps us build supply chain resilience by providing artificial intelligence and optimization tools to enhance our future,” said Felipe Moraes, Head of Supply Chain and Integration at Amazon Brazil.

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Ada autonomously handles the most time-consuming parts of supply chain design. Throughout every stage, human judgment remains central. Ada handles the technical work; supply chain teams own the strategy, validate every output, and make the final call.

Andrea Paciaroni, Principal Director at Accenture, said, “Supply chain leaders are navigating an era of relentless unpredictability, where the window between disruption and required action continues to shrink. Accenture’s mission is to help clients build supply chains that are resilient by design, not just by response. Optilogic’s AI for supply chain design is exactly the kind of innovation the industry needs—AI that doesn’t just surface insights but also empowers teams to act with confidence.”

Ada was built to fundamentally transform the design practice: analysts can explore hundreds of strategic alternatives instead of rationing questions, disruption triggers a prepared playbook instead of a new project, executives have answers at their fingertips, and design teams become key advisors in both near- and long-term decisions rather than a months-long back-office effort.

Ada represents the first in a sustained series of AI investments Optilogic is making to ensure supply chain design teams can meet the pace of a business environment defined by constant change. With this announcement, Optilogic is building upon the industry’s only platform that combines agentic AI, mathematical optimization, and simulation in a single integrated system.

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AdLift’s Tesseract Launches Claude AI Integration and AI Traffic Analytics

PRNewswire

June 4, 2026

AdLift's Tesseract Launches Claude AI Integration and AI Traffic Analytics

The latest update enables brands to track referral traffic from AI platforms and gain deeper insight into how AI models interpret, position, and recommend their brand online.

If someone ever wondered whether ChatGPT, Perplexity, or Google’s AI Overviews are sending users to their brand’s website – or how those platforms describe a brand when someone asks about a category – Tesseract by AdLift now has answers.

The AI Search Visibility platform has launched two major product updates: Claude AI integration and AI Traffic Analytics, giving marketers and SEO teams a clearer picture of how AI platforms engage with their brand and where that’s translating into real traffic.

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Understanding What AI Says About A Brand

By bringing Anthropic’s Claude model into Tesseract’s intelligence layer, the platform can now analyze the context, sentiment, and intent behind AI-generated brand mentions. Teams can understand how their brand is positioned within conversational AI answers, spot recommendation patterns across platforms, and get more precise guidance for AI-first search environments. Claude integration is available for Enterprise and Pro Plan users.

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Seeing Where AI Traffic Is Coming From

AI Traffic Analytics addresses a gap growing quietly across most marketing teams: AI assistants are increasingly driving discovery, but traditional analytics tools weren’t built to track it. The feature gives brands visibility into which AI platforms are driving traffic and how referral behavior shifts over time. Available across all Tesseract plans.

Prashant Puri, Co-Founder & CEO of AdLift, said: “Traditional search analytics were built for a world where Google was the primary discovery engine. That world is changing fast. Tesseract is designed for what comes next – giving brands real intelligence into how AI platforms perceive, reference, and send traffic to their digital presence.”

Arron Goodin, Managing Director, AdLift, said: “Marketers can no longer rely on traditional search metrics alone. With Claude integration and AI Traffic Analytics, Tesseract helps brands move beyond rankings and understand how AI platforms interpret, position, and recommend them in real-world conversations.”

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Flowgear Launches Builder MCP to Bring Enterprise Integration Into Any AI Chat or IDE

prweb

June 4, 2026

Opsera Launches VIBEshift to Move AI-Generated Applications from Prototype to Production with a Single Command

New MCP capability lets teams build and test enterprise workflows directly from AI coding tools and local development environments without compromising security or enterprise guardrails.

Flowgear, an enterprise integration platform serving more than 140 global partners and 1,000 certified developers worldwide, today announced the launch of Builder MCP, a way to build workflows directly from an AI chat.

Builder MCP lets technical teams build Flowgear workflows directly from an AI chat or local IDE, outside the Flowgear console. For integration architects and developers, that means scaffolding and testing backend workflows from the tools they already use, without switching contexts.

Integrating AI Workflows Securely and Conveniently

Open-ended coding gives teams too many pathways for backend engineering, leading to architectural drift, security gaps, and duplicated work. These challenges are amplified as new AI coding tools are being integrated into developer workflows, creating AI sprawl, where multiple teams independently build overlapping or duplicate integrations across isolated tools.

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Builder MCP solves this by constraining AI-generated workflows to validated patterns on Flowgear’s infrastructure, giving AI a toolkit to use rather than a blank canvas to create.

This capabilities upgrade delivers immediate advantages for modern engineering operations, including:

– Build from anywhere. Teams can create and test Flowgear workflows from external AI tools, IDEs, and local environments, using the same tooling surface available inside the Console.

– Faster loops. The AI-assisted workflow cuts the time between drafting and testing, so working outcomes accompany developer inputs.

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– Guardrails included. Every workflow built through Builder MCP inherits platform-level governance and security, so nothing ships without Flowgear’s enterprise controls.

“Builder MCP fundamentally reimagines the integration lifecycle by embedding Flowgear’s framework directly into the AI tools where engineering teams increasingly work,” said Daniel Chilcott, co-founder and CEO of Flowgear. “By using AI to generate and refine structured backend logic on the fly safely, organizations can collapse their integration backlogs and achieve production readiness without the overhead of manual console design.”

Unlike many MCP offerings that focus on giving AI agents access to existing tools, app actions, or enterprise resources, Flowgear Builder MCP gives technical teams a way to create and test new Flowgear workflows from outside the Console, using the same workflow-building tool surface used by Flowgear’s built-in tooling.

Automation That Scales

Modern mid-market and enterprise organizations depend on a dense web of enterprise software platforms to drive daily business execution. When these systems remain disconnected, they generate deep operational drag, manual information dependencies, and siloed visibility across business units.

Flowgear bridges these gaps by providing out-of-the-box infrastructure connectivity that harmonizes data flows across distinct functional departments.

With the debut of Builder MCP, Flowgear establishes an AI-guided framework for constructing and scaling foundational workflows, keeping modern companies moving.

For example, in e-commerce or supply chain environments, Flowgear Builder MCP enables teams to build workflows that seamlessly connect online orders, stock levels, warehouse activity, ERP records, courier systems, and customer notifications. As the business scales, it empowers technical teams to rapidly adapt these workflows to accommodate new sales channels, fulfillment processes, or logistics providers.

Flowgear’s platform gives developers the freedom to build in their preferred environments while maintaining enterprise-grade governance. Builder MCP extends that principle to AI-assisted workflows.

“Builder MCP gives enterprises the confidence to deploy AI-assisted automation because the underlying workflows are governed by a resilient, enterprise-grade environment,” said JJ Milner, co-founder of Flowgear and founder and Managing Director of Global Micro Solutions. “AI development is only as good as the systems that surround it, and with Builder MCP, we are providing the structural foundation required to scale AI automation safely, reliably, and without the risk of sprawl.”

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Beroe and Kearney Launch MAX: The AI-Native Decision Engine That Makes Procurement Continuously Competitive

PRNewswire

June 4, 2026

Beroe and Kearney Launch MAX: The AI-Native Decision Engine That Makes Procurement Continuously Competitive

MAX sits as the missing connecting layer between data and execution systems
The first platform to continuously surface margin opportunities while simultaneously optimizing risk and ESG
Powered by codified Kearney methodology and 30M live market signals from Beroe
Designed with a Strategic Advisory Council of 13 global procurement organizations, representing some of the world’s most complex supply chains

Beroe, the global leader in procurement intelligence, and Kearney, the global management consulting firm, announced the launch of Beroe MAX powered by Kearney, an AI-native, always-on decision engine designed to make procurement continuously competitive. Launched from the main stage at DPW NYC, MAX is the first product to close the gap between intelligence and decisive action, providing a unified view across cost, risk, and ESG.

Why procurement needs a new operating system

The Chief Procurement Officer mandate has expanded faster than the function’s operating model. Procurement leaders are now accountable for resilience, ESG exposure, tariff response, margin protection, and more, often with the same or fewer resources than they had five years ago. This environment introduces three critical challenges:

Velocity: Supply markets move in hours, not quarters, yet category strategies update infrequently.
Fragmentation: The profusion of procuretech in recent years has armed procurement teams with tools that provide insights, and others that help execute, without a connection.
The Missing Link: What has been missing is an intelligent system that bridges the two.

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Continuous intelligence, applied in context

MAX closes that gap. Built on a neurosymbolic framework that leverages best-of-breed agentic AI, MAX sits as a connecting layer between data and execution systems. It continuously combines Beroe’s global market intelligence and specialist third-party data via a data marketplace, with Kearney’s proprietary consulting methodology, benchmarks, and decision frameworks, applied against a user’s own spend, contracts, and supplier base. The result is recommendations surfaced in the organization’s specific context, as soon as opportunities arise. When a tariff is imposed, a commodity price spikes, or a supplier risk rating shifts, MAX reassesses affected categories and flags the decisions that need attention before teams have to go looking for them.

Built with procurement, for procurement

MAX results from a multi-year partnership between Kearney and Beroe which set out to enable previously impossible decisions and outcomes in procurement. The product was designed with a Strategic Advisory Council of 13 global procurement organizations, representing some of the world’s most complex supply chains, who shaped the product design, validated its application across categories, and continue to steer its roadmap today. Their involvement ensures that MAX reflects the real decisions procurement teams face, not a theoretical model of what those decisions should look like.

Vel Dhinagaravel, Founder and CEO, Beroe, said: “The processes procurement relies on today were built for a world that no longer exists. Teams have always had access to market data, but what they have lacked is a system that connects that data to their specific spend, applies procurement logic, and tells them where to act, continuously. MAX puts that capability into the hands of every category manager, not just the ones in the room with a consultant, enabling decisions and outcomes that were previously impossible.”

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Suketu Gandhi, Co-leader of Global Strategic Operations, Kearney, said: “CPOs are being asked to deliver competitive advantage in markets that move in hours, not quarters. MAX gives procurement leaders the real-time visibility and prioritized recommendations they need to anticipate shifts, focus where it matters, and move decisively. This is not a faster version of the function procurement has always been. It is a different function, one that stops waiting to be asked. It moves from responding to anticipating, from episodic to continuous. That is what it means to compete.”

A CPO member of the Strategic Advisory Council added: “Today, category managers are forced to be selective; focusing on the top 20 percent of spend, the most strategic suppliers, and the categories with the largest potential savings. Smaller opportunities go unrecognized because the analytical cost outweighs the return. MAX changes the economics of that decision. Category managers can now cover every supplier, every category, every day.”

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Edimakor V5.0.0 Revolutionizes Video Creation with Reference to Video and AI Ads Features

PRNewswire

June 4, 2026

Edimakor V5.0.0 Revolutionizes Video Creation with Reference to Video and AI Ads Features

Video production using AI has completely evolved since the early days when users created random video clips based only on a text prompt. Nowadays, users are calling for consistent quality, improved control, and fast turnaround times, making these types of previously available tools irrelevant. The HitPaw Edimakor new version 5.0.0 addresses this demand by providing comprehensive solutions (new features) that make video content creation easy for creators by integrating Reference to Video, Ability to Create AI ads, ability to do video clones (i.e., create a copy of anyone) . This update moves video production from a traditional model to a more intelligent Procedure.

Reference to Video Powered by Wan 2.7

Edimakor V5.0.0 completely redefines the AI Video landscape, where many AI Video tools start anew every time an AI is executed. Incorporate your own images, video, or audio as reference material with a text prompt, and Edimakor will produce an engaging video that has the same visual output from beginning to end. The integration of the newly incorporated Wan 2.7 model powers this process, delivering the level of quality and consistency that generic generation cannot provide. Your style is still your style.

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AI Image Editing Clean, Fast, Professional

Two major enhancements In Edimakor AI Image Editing:

Remove or replace the background of an image to produce an entire series of professional photos with different backgrounds for various marketing scenes.
Take out unwanted objects, remove blemishes, change the colour of items, and add or replace items in large areas of photos easily using simple selections.

AI Ads One Click to a Professional Ad Campaign

Edimakor V5.0.0 offers you an entire ad generation suite that will allow you to generate high-quality video or image-based ads for e-commerce or brand marketing, in one click!

Main features:

Unified product and brand management with AI customized characters that represent your brand.
Creative advertisements, use of consumer-generated content, product showcase advertisements, and promotional advertisements.
AI background swap, virtual try-on, and model hand-holding product shot feature.

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Video Cloning Capture What Works

Using Video Cloning function, you can upload your reference clip or photograph(s), and Edimakor will produce for you a fully-functioning video marketing piece using the same style, camera angles, lighting, and action as your reference material. This one tool alone can save hundreds of hours of video production work each week.

Conclusion

With Edimakor V5.0.0, you will have a full creative video production studio all contained in one tool, which includes reference-based generation of viral content, cloning of other successful advertisements, professional-grade advertisement production, and the ability to produce emotional-sounding voiceovers.

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Autodesk signs strategic collaboration agreement with Amazon Web Services

PRNewswire

June 4, 2026

Autodesk signs strategic collaboration agreement with Amazon Web Services

Fusion products will be available via AWS Marketplace

Autodesk, Inc., a global leader in design and make technology, announced it has signed a strategic collaboration agreement (SCA) with Amazon Web Services, Inc. (AWS). Through this collaboration, Autodesk will work with AWS to advance cloud-based solutions that help customers design, build, and operate more efficiently at scale.

In addition to the SCA, Autodesk products will also be available for purchase through AWS Marketplace beginning in the second quarter of Autodesk’s fiscal year. This introduces new ways for AWS customers to access Autodesk solutions — starting with Fusion for Product Design and Fusion Manage. Customers can take advantage of simple procurement and billing when purchasing Autodesk products while also honoring existing AWS Private Pricing Agreements.

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Autodesk and AWS will also collaborate to accelerate innovation across Autodesk’s cloud platform, including opportunities to leverage AWS cloud and AI capabilities to support increasingly complex design and make workflows. By offering Autodesk’s industry-leading software through AWS Marketplace, customers can streamline procurement, leverage flexible cloud infrastructure, and accelerate time to value, enabling improved performance, greater agility, and deeper insights across the entire project lifecycle.

“By deepening our collaboration with AWS, we’re taking another major step in helping customers choose how they design and make in the cloud,” said Rachel Tuller, VP of Global Partner Ecosystem Sales at Autodesk. “Together, we can give organizations the flexibility to build, operate, and scale solutions that best meet their business needs while driving greater efficiency and innovation.”

“This collaboration reflects what happens when partners align around customer success,” said Colin Lazier, Vice President, Databases, Amazon Web Services. “By combining Autodesk’s design and make expertise with AWS’s cloud infrastructure and AI capabilities, we’re helping customers innovate faster, work smarter, and scale with confidence — and we’re just getting started.”

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The collaboration also creates new opportunities for customers and partners across the broader AWS ecosystem. Matterport, a customer and partner of both AWS and Autodesk whose spatial data platform integrates with Autodesk workflows, sees the agreement as a way to deliver a more seamless experience for shared customers.

“As a customer and partner of both AWS and Autodesk, we see firsthand how this collaboration can benefit organizations like ours,” said Rob Hines, Interim President at Matterport. “Customers using Matterport’s spatial data platform with Autodesk workflows will gain a more unified experience on AWS, and we’re excited about the possibilities that creates for the customers we serve together.”

Through this collaboration, Autodesk and AWS are helping customers modernize workflows, improve collaboration, and scale with confidence.

This collaboration underscores Autodesk and AWS’s shared commitment to delivering flexibility and unlocking greater business value for customers across industries.

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WP Engine Enhances Global Edge Security With Bot Management to Control AI-Driven Website Traffic

Business Wire

June 4, 2026

WP Engine Enhances Global Edge Security With Bot Management to Control AI-Driven Website Traffic

Web teams gain deeper visibility, flexibility, and control over unwanted bots to adapt to evolving automated traffic across the Intelligent Web

WP Engine, a global web enablement company providing premium products and solutions for websites built on WordPress®¹, announced Global Edge Security (GES), powered by Cloudflare, now has customizable bot management functionalities that give web teams deeper visibility to control and adapt to unwanted bot traffic as they adapt to the Intelligent Web.

WP Engine’s Global Edge Security introduces new Bot Management features and Insights

AI agents, crawlers, and automated systems together make it harder to detect threats, manage performance, and control resource costs to mitigate malicious activity across the modern web. With 76% of traffic unverified, GES’ bot management prioritizes intelligent traffic management so web teams proactively control unwanted bot traffic, instead of simply monitoring it.

“Automated traffic is becoming more difficult to manage as AI systems, bots, and human visitors increasingly blend together. Web teams need clearer insight into traffic behavior and the flexibility to respond quickly without adding operational complexity,” said WP Engine CTO Ramadass Prabhakar. “WP Engine mitigated 75+ billion bot requests on our platform last year alone, and recognizes bot management is not a one-size-fits-all solution. Global Edge Security now has the flexibility web teams need to create, test, and adapt bot management strategies as the market and AI activities fluctuate.”

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As unwanted bot traffic and threat vectors evolve daily, one-size-fits-all and DIY bot management approaches are not sustainable. GES’ bot management combines managed security services with customizable controls to help web teams detect, classify, and manage bot traffic across regions, categories, and traffic types. Bot management configurations can go live the same day, giving web teams a pulse on activity to mitigate active threats sitewide with a single toggle.

“AI-driven traffic introduces a new layer of complexity for websites because not all automated activity behaves the same way, and not all of it is necessarily malicious,” said Cloudflare, Inc. Vice President of Product Michael Tremante. “The challenge is helping web teams distinguish bot traffic, and within that good from bad, without slowing performance or increasing operational overhead. Tools like GES’ bot management help turn website traffic data into action, so teams can focus on running and growing their sites.”

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The added bot management tooling works collectively to strengthen existing GES security and bot mitigation functionalities (managed WAF, advanced DDoS protection, image optimization, global CDN), so web teams have visibility at all times and can adapt their bot strategies as traffic patterns fluctuate. GES’ bot management brings:

Customizable Access Rules: Control how automated traffic is handled by category or region to reduce unwanted activity and tailor protections to business needs.
Instant Lockdown: Instantly activate “Under Attack” mode with a single click during active threats to strengthen defenses without waiting on support teams.
Edge-Side Optimization: Improve site speed and reliability with edge caching and automated optimizations that reduce infrastructure strain and management overhead.

For digital agencies, the expanded capabilities reduce time spent on managing website performance and security issues while opening new bot management service offerings. With just a few clicks, eCommerce teams can activate strategies to better manage harmful bot activity without disrupting legitimate shoppers.

“Agencies are increasingly expected to help clients navigate a web environment that’s becoming harder to interpret and manage,” said Amsive Director of Web Development Mark Davoli. “What stands out about WP Engine’s GES expansion is the ability to quickly see unwanted bot activity actually happening across a site and take action without adding technical overhead. For agencies managing multiple client environments, that means less time reacting to traffic and security issues and more time improving client performance, protecting revenue, and driving growth.”

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Similarweb Expands AI Ecosystem with Perplexity Collaboration Through Native AI Workflows

Business Wire

June 4, 2026

Similarweb Expands AI Ecosystem with Perplexity Collaboration Through Native AI Workflows

New integration strengthens Similarweb’s position as the trusted digital data layer powering AI-driven business workflows in Perplexity Computer

Similarweb and Perplexity announced an expanded relationship that brings Similarweb’s digital data directly into Perplexity’s AI-native workflows, enabling users to access the most trusted market, consumer behavior, and competitive intelligence data without leaving the Perplexity environment.

“Similarweb is a market leader in providing data intelligence that helps enterprises scale. For enterprises incorporating AI into their daily work, access to accurate, trusted data is paramount.” Dmitry Shevelenko, Chief Business Officer at Perplexity

Through Perplexity Computer, businesses of all sizes can automate research, marketing analysis, and strategic decision-making using Similarweb’s market intelligence and consumer behavior insights, all embedded directly within the AI experience. Computer is an agent orchestrator that creates teams of AI agents in 20+ models across files, tools, memory, and the open web to execute complex and continuous workflows. The integration includes Similarweb’s official MCP connector for Perplexity and deeper native integrations that bring trusted digital data directly. This announcement reflects Similarweb’s broader strategy in becoming the trusted data partner in a growing ecosystem of AI tools powering the next generation of digital intelligence.

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As businesses shift from traditional SaaS platforms into AI environments, access to accurate, trusted data has become increasingly more critical to the effectiveness and accuracy of AI-generated insights. Similarweb’s data helps ground AI-generated responses in real-world digital intelligence across the customer journey and consumer behavior in apps, retail, Gen AI, search, and more. Perplexity Computer is designed to help businesses execute AI-powered workflows across research, analysis, and operational tasks using a team of sub-agents. Through the Similarweb integration, those workflows can now leverage trusted market and consumer intelligence directly within Computer.

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“AI tools are only as powerful as the data supporting them,” said Benjamin Seror, Chief Product Officer at Similarweb. “More and more businesses are moving from ad hoc questions to building AI-powered workflows that automate research and marketing execution at scale. Similarweb’s data being available directly in AI platforms such as Perplexity ensures the workflows are grounded in accurate, trusted digital intelligence.”

The launch aligns with a broader shift across the AI ecosystem, as organizations increasingly rely on AI agents and copilots to perform tasks traditionally handled through multiple software tools and manual workflows. “The next phase of enterprise AI adoption will be defined by the quality and reliability of the underlying data powering AI outputs,” added Seror.

“Similarweb is a market leader in providing data intelligence that helps enterprises scale. For enterprises incorporating AI into their daily work, access to accurate, trusted data is paramount,” said Dmitry Shevelenko, Chief Business Officer at Perplexity. “By integrating Similarweb data directly into Perplexity Computer, users can access reliable market, consumer, and competitive insights inside the workflows where they already work and make decisions.”

The company’s broader ‘Similarweb. Everywhere you work.’ initiative reflects a strategic shift from a standalone platform business toward embedding Similarweb intelligence directly into the AI tools businesses already use every day. The Perplexity announcement builds on Similarweb’s growing network of AI partnerships and integrations which includes hundreds of additional AI tools through Similarweb’s MCP server.

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How Agentic AI Is Scaling Marketing, Sales, IT, and Compliance Through Real-World Enterprise Use Cases

MTS Staff Writer

June 4, 2026

How Agentic AI Is Scaling Marketing, Sales, IT, and Compliance Through Real-World Enterprise Use Cases

Over the past two years, artificial intelligence has moved from experimentation to implementation. Organizations that once focused on testing chatbots and content-generation tools are now exploring a more advanced frontier: agentic AI.

Unlike traditional AI systems that primarily respond to prompts, agentic AI can plan, reason, make decisions, and execute actions across multiple systems with limited human intervention. These intelligent agents can interact with software applications, coordinate workflows, access enterprise data, and complete complex tasks from start to finish.

This evolution is changing how businesses think about productivity.

From marketing and sales to IT and compliance, enterprises are beginning to discover that agentic AI is not simply another automation tool. It represents a new operating model for work.

Moving Beyond Task Automation

For years, automation focused on repetitive tasks.

Organizations automated invoice processing, email routing, customer support tickets, and data entry. While these initiatives improved efficiency, they typically operated within narrow boundaries and required extensive human supervision.

Agentic AI changes this equation.

Instead of automating individual tasks, AI agents can manage entire workflows.

For example, a traditional marketing automation platform might send emails based on predefined rules. An agentic AI system can analyze audience behavior, create campaign strategies, generate content, launch campaigns, monitor performance, and recommend adjustments in real time.

The difference is significant.

Businesses are no longer automating activities. They are automating outcomes.

Transforming Marketing Through Autonomous Execution

Marketing teams are under constant pressure to deliver personalized experiences across an expanding number of channels.

The challenge is not a lack of ideas. It is the growing complexity involved in executing them.

Agentic AI is helping organizations bridge this gap.

Some enterprises are deploying AI agents that continuously monitor customer behavior, market trends, competitor activity, and campaign performance. These systems can identify opportunities, recommend content strategies, and optimize budgets without waiting for manual analysis.

Reimagining Sales Operations

Sales organizations have historically struggled with administrative overhead.

Researching prospects, updating customer relationship management systems, creating proposals, forecasting revenue, and managing pipelines consume significant time that could otherwise be spent building relationships and closing deals.

Agentic AI is helping sales teams reclaim that time.

Modern sales agents can gather intelligence about prospects, identify buying signals, draft personalized outreach messages, prepare meeting briefs, and recommend next actions.

Some organizations are even deploying revenue intelligence agents that monitor customer interactions across channels and proactively identify expansion opportunities.

Creating More Resilient IT Operations

The IT department has become one of the earliest beneficiaries of agentic AI.

Modern technology environments are increasingly complex, spanning cloud infrastructure, applications, cybersecurity tools, networks, and distributed workforces.

Maintaining visibility across these environments is challenging, even for highly skilled teams.

Agentic AI provides a new layer of operational intelligence.

AI agents can continuously monitor infrastructure, identify anomalies, investigate incidents, and recommend corrective actions.

In some cases, they can resolve issues autonomously before employees or customers experience disruptions.

For example, an AI agent monitoring cloud infrastructure may detect unusual resource consumption, identify the underlying cause, and initiate remediation workflows automatically.

This reduces downtime and enables IT teams to focus on strategic initiatives rather than routine troubleshooting.

Strengthening Compliance and Governance

Compliance teams face a growing challenge.

Regulations are evolving rapidly, while organizations generate unprecedented volumes of data, communications, transactions, and documentation.

Traditional compliance processes often struggle to keep pace.

Agentic AI offers a way to scale oversight without proportionally increasing resources.

AI agents can monitor regulatory developments, review internal processes, identify policy violations, and generate compliance reports.

For example, a compliance agent may continuously evaluate customer communications for regulatory risks, flag suspicious transactions, or verify adherence to internal governance standards.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Human and AI Collaboration: The Winning Model

A common misconception is that agentic AI aims to eliminate human involvement.

In reality, the most successful deployments emphasize collaboration rather than replacement.

Humans continue to provide strategic direction, ethical judgment, creativity, and contextual understanding.

AI agents contribute speed, scale, consistency, and operational efficiency.

Together, they create a hybrid workforce capable of achieving outcomes that neither could accomplish alone.

Organizations that recognize this balance are likely to realize the greatest value from their AI investments.

Wrapping up – The Future of Enterprise Operations

The adoption of agentic AI represents more than another technology upgrade.

It signals a fundamental shift in how work is organized, executed, and scaled.

Just as cloud computing transformed infrastructure and digital platforms transformed customer engagement, agentic AI is poised to transform operational workflows across the enterprise.

The organizations leading this transformation are not simply deploying AI tools.

They are redesigning processes, redefining roles, and building systems where intelligent agents can collaborate with people to achieve business objectives more efficiently.

As the technology matures, the competitive advantage will increasingly belong to enterprises that can successfully combine autonomy, governance, and human expertise.

The future of work is unlikely to be fully automated.

But it will almost certainly be increasingly agent-driven.

And for organizations willing to embrace this shift, the opportunities are only beginning to emerge.

Ref: https://martech.org/agentic-ai-use-cases/

https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/agents-for-growth-turning-ai-promise-into-impact

Marketing Technology News: Idle data is as good as no data

Qlik Helps Build Trusted Enterprise Context into Snowflake and Cortex Workflows

Business Wire

June 4, 2026

Qlik Helps Build Trusted Enterprise Context into Snowflake and Cortex Workflows

Building on innovations introduced at Qlik Connect^® 2026, Qlik helps Snowflake customers bring more enterprise data into Snowflake in real time, extend Snowflake and Snowflake Cortex AI workflows with governed enterprise context, and connect analytics to governed action.

Key takeaways:

Bring more enterprise data into Snowflake in real time: Qlik helps customers move data from SAP, mainframe, SaaS, databases, and streaming environments into Snowflake with speed and scale.
Extend Snowflake and Snowflake Cortex AI workflows with governed enterprise context: Qlik helps customers connect Snowflake data with governed data products, lineage, quality signals, and business context, including relevant context that may sit outside Snowflake.
Connect insight to governed action: Qlik extends Snowflake investments with analytics, open agent interoperability, and workflow activation so teams can move from data to insight to action more effectively.

Qlik^® announced expanded ways for Snowflake customers to bring real-time enterprise data, governed business context, and open agentic capabilities into Snowflake-centered AI and analytics initiatives. Timed for Snowflake Summit 26, the announcement builds on innovations introduced at Qlik Connect 2026 and highlights how Qlik complements Snowflake by helping joint customers connect more enterprise data to downstream analytics and AI.

As organizations push beyond AI pilots, many are finding that the bottleneck is not model access. The harder challenge is connecting current enterprise data, preserving business meaning, and governing how AI insights are used across real workflows without adding more lock-in, cost opacity, or operational risk.

Qlik helps address that need by moving enterprise data into Snowflake in real time, shaping reusable governed data products, and extending analytics and AI workflows with governed context from systems and data sources that may sit beyond Snowflake. As a Snowflake Elite Technology Partner, Qlik brings together data integration, data quality, analytics, and open agent interoperability in a way that helps joint customers accelerate AI value while preserving trust and control.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Qlik is also introducing a Snowflake Native App for Qlik Model Context Protocol (MCP) Server, connecting Snowflake Intelligence and Cortex Agents to Qlik Cloud. The app lets Cortex Agents access Qlik-governed data and analytics assets directly from Snowflake workflows, including Qlik apps, KPIs, formulas, chart data and lineage, grounding natural-language exploration in Qlik’s trusted analytics engine.

“Snowflake customers do not need more AI experimentation around the edges,” said Josh Good, VP, Tech Ecosystems & Strategy at Qlik. “They need a practical way to get more value from Snowflake by bringing in more enterprise data, preserving business context, and connecting Snowflake and Cortex workflows to governed intelligence across the business. Qlik helps do that with the flexibility and control enterprises expect.”

Marketing Technology News: Idle data is as good as no data

“Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data,” said Amy Kodl, SVP, Worldwide Alliances and Channels at Snowflake. “Qlik complements that foundation by helping joint customers connect more enterprise data and business context to Snowflake workflows, so teams can move faster from data to insight to action with the governance required at enterprise scale.”

What’s new

Real-time enterprise data into Snowflake: Qlik supports CDC, streaming, batch, and event-driven movement from hundreds of enterprise sources into Snowflake, helping customers reduce latency and accelerate time to analytics.
Governed data products and business context: Qlik helps customers create curated, governed, and reusable data products with lineage, quality controls, stewardship, and trust signals that improve confidence in analytics and AI-driven decisions.
Context for Snowflake Intelligence and Cortex AI workflows: The Snowflake Native App for Qlik MCP Server connects Snowflake Intelligence and Cortex Agents to Qlik Cloud, helping customers bring Qlik-governed analytics context, including relevant enterprise context that may sit outside Snowflake, into Snowflake workflows.
An open fit with existing investments: Qlik is designed to work with the systems customers already use, helping teams extend their Snowflake environment with trusted intelligence rather than adding another stack.

Together, Qlik and Snowflake help organizations turn strong data infrastructure into more trusted, explainable, and actionable AI outcomes. That gives joint customers a more practical path to enterprise AI, especially in environments where SAP data, operational systems, documents, and real-time streams all need to work together under governance.

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VIDIZMO Launches AI Intelligence Hub to Turn Media Files and Documents into Sourced Answers

PRNewswire

June 3, 2026

VIDIZMO Launches AI Intelligence Hub to Turn Media Files and Documents into Sourced Answers

Purpose-built for law enforcement, legal, government, healthcare, and financial services, VIDIZMO AI Intelligence Hub analyzes video, audio, documents, and images together, on your private cloud, on-premises, or air-gapped network.

VIDIZMO, a Gartner Magic Quadrant Challenger in Enterprise Video Content Management and an IDC MarketScape Major Player in Digital Evidence Management, announced the launch of VIDIZMO AI Intelligence Hub, a multimodal enterprise AI platform that analyzes video, audio, images, and documents together to deliver sourced answers that professionals can act on and defend.

Organizations across government, law enforcement, legal, healthcare, and financial services manage growing volumes of media files and documents that no team can fully review. Most AI tools process only text and documents, leaving video and visual evidence entirely unanalyzed. AI Intelligence Hub closes that gap, and does so on infrastructure the organization controls, with no data sent to a third-party server.

“Every organization we talk to has the same problem: more data than their team can get through, and real consequences when something gets missed. We built the VIDIZMO AI Intelligence Hub to analyze every type of data a team manages and give back answers they can cite, defend, and act on, whether that data lives in a private cloud, an on-premises server, or a fully air-gapped network,” said Nadeem Khan, CEO of VIDIZMO.

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

Key Capabilities

AI Intelligence Hub brings together capabilities that other platforms deliver only in fragments:

Computer vision and audio AI: Analyzes video frame by frame to detect objects, identify individuals, and recognize actions, alongside audio transcription and speaker identification in 82 languages.

One search across every data type: A single query spans video, audio, documents, and images, returning sourced answers with timestamps, page references, and confidence scores.

On-premises and air-gapped deployment: Runs on your private cloud, on-premises infrastructure, or fully air-gapped network. No data transits external servers, and full platform capability is identical across all three deployment modes.

No-code AI workflows: Business users build multi-step workflows with approval steps, conditional logic, and external API connections, without writing code.

Model-agnostic architecture: Runs commercial and open-source AI models on your own infrastructure, with no vendor lock-in.

Sourced, explainable answers: Every response links back to the original content, by timestamp, page, or frame, with a full audit trail and no black-box outputs.

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Built for Regulated Industries

AI Intelligence Hub is purpose-built for organizations operating under strict data governance requirements:

Law enforcement and public safety: Analyze body-worn camera, dashcam, and CCTV footage alongside documents to build reports and court-ready packages with timestamped citations, all on infrastructure the agency controls, meeting CJIS and FedRAMP High requirements.

Legal and prosecution: Review the complete record, flag potentially exculpatory material, and keep every AI interaction within attorney-client privilege, on your infrastructure, not a vendor’s cloud.

Healthcare: Analyze incident recordings, clinical notes, and patient history together in a HIPAA-compliant private cloud or on-premises deployment.

Financial services: Conduct due diligence across thousands of documents in hours and keep compliance recordings searchable for the full retention period within your own infrastructure boundary.

Government and regulatory: Process FOIA requests at scale and keep all processing on-premises or air-gapped. Supports FedRAMP, Section 508, and FIPS 140-2 requirements.

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fullthrottle.ai® Strengthens Executive Team, Appoints Sanghita Majumder as EVP of Customer Success to Deepen Client Partnerships

PRNewswire

June 3, 2026

Later Adds Dena Upton as Chief People Officer to Drive Continued Scale and AI Innovation

Industry veteran brings 18 years of AdTech customer success leadership to advance client outcomes across fullthrottle.ai’s managed services and platform activations.

fullthrottle.ai, a pioneer in first-party data media solutions and AdTech operating systems, announced the appointment of Sanghita Majumder as Executive Vice President of Customer Success. Majumder brings 18 years of experience building and scaling customer success and client services across leading AdTech platforms and will lead fullthrottle.ai’s customer success team spanning both managed services and self-service clients.

Industry leader Sanghita Majumder joins fullthrottle.ai to drive customer success and adoption.

Majumder brings deep AdTech leadership experience from some of the industry’s most influential companies, including Rocket Fuel, Samba TV, The Trade Desk, and StackAdapt. Throughout her career, she has led high-growth client services and campaign operations organizations through major moments of scale, including Rocket Fuel’s IPO, the global expansion of Samba TV’s managed services business, and Stack Adapt’s MarTech product launch, while consistently driving client retention, operational growth, and revenue expansion.

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“Customer success discipline will be essential for our next phase of growth at fullthrottle.ai®, and Sanghita brings the kind of leadership experience that accelerates both customer value and long-term partnerships,” said Amol Waishampayan, Co-Founder of fullthrottle.ai®. “Her track record of building high-performing teams, strengthening customer relationships, and driving measurable business outcomes makes her an ideal fit for where we are headed next.”

As EVP of Customer Success, Majumder will lead the post-sale organization across the business, partnering closely with fullthrottle.ai’s revenue, product, and operations teams to deliver measurable outcomes for customers and agency partners and drive long-term growth.

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

“What drew me to fullthrottle.ai® is the rare combination of a genuinely differentiated product and a leadership team that is deeply passionate about what they are building,” said Majumder. “The ability to connect media spend to real business outcomes in a cookieless, privacy-first manner is exactly what the market needs right now. I am thrilled to join at this moment and help build the customer success engine that brings that value to life for every client we serve.”

The appointment reflects fullthrottle.ai’s continued investment in customer success and services capabilities supporting its growing client base of agencies and brand marketers as adoption of its unified platform expands.

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MoEngage Launches Merlin AI Custom Agents With Full Visibility, Marketer-Defined Guardrails, and Open MCP Architecture

PRNewswire

June 3, 2026

MoEngage Launches Merlin AI Custom Agents With Full Visibility, Marketer-Defined Guardrails, and Open MCP Architecture

B2C Lifecycle and CRM teams can now design marketing agents that run on their own data, inside their own guardrails, and coordinate with external AI systems like Claude and ChatGPT through an open Model Context Protocol (MCP) server.

MoEngage, the agentic customer engagement platform used by more than 1,350 consumer brands, launched Merlin AI Custom Agents. Lifecycle marketers and CRM teams can now build their own workflow agents on top of MoEngage data and tools, define the rules each agent runs inside, and watch every step the agent takes. MoEngage is also opening to the enterprise AI stack through an MCP server, so customers can use AI tools like Claude or ChatGPT to access MoEngage data / tools or build external agents leveraging the MoEngage connector.

Most agentic AI in marketing today operates as a black box. The marketer enters a prompt, the system returns an output, and what happened in between stays hidden. For a CMO running hundreds of millions of customer touchpoints across email, push, in-app, and SMS, that opacity is a non-starter. Merlin is built differently. Every Merlin AI agent shows its work. Marketers see the data it pulled, the decisions it made, the channels it touched, and the content it sent. They set the audiences, channels, content rules, and budget limits before the agent runs. Some teams want full autopilot. Others want a hand on the wheel and review every action before it ships. The same agent runs either way.

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

“Marketers have been telling us for two years they don’t want AI that just does the work. They want AI they can see inside, set rules for, and stop when they need to. Merlin is built around that. The reason teams can let our agents run 24/7 and run experiments at a pace they couldn’t touch manually is that the agents only do what the marketer’s guardrails allow. Visibility and control are what make autonomy safe. Teams at SoundCloud, Loblaws, Swiggy, Domino’s, and dozens of other consumer brands shaped what we shipped,” said Raviteja Dodda, Co-founder and CEO of MoEngage.

Most martech AI today is built for one audience: a human marketer typing into a chat box. MoEngage is building for both the marketer and the AI agents already running inside the company. Through the MCP server and agent-callable APIs, MoEngage agents pass context to and take direction from external systems. For enterprises standardizing on a platform, the existing stack stays in place rather than getting replaced.

What’s new

Custom Agents in Merlin AI. Build agents that run continuously on your workflows. Every custom agent runs on MoEngage data, uses MoEngage tools, and operates inside the rules a marketer defines. A full activity log shows every decision it makes. Customer use cases: agents that QA campaigns before they go out, agents that turn a creative brief into a journey ready for review, and agents that produce analytics reports without anyone opening a dashboard.

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

New Merlin AI agents. Three additions to the agent suite already in Studio:

In-App Template Generator. Describe the in-app message you want. Merlin returns the App Template with responsive code and interaction logic done.
Flows Assist. Type the objective of a journey. Merlin returns a multi-stage canvas with triggers, paths, and channel steps wired in. The marketer reviews, edits, and ships.
Campaign Insights Agent. Ask questions about your campaigns in plain language. The agent surfaces what’s working, what isn’t, and what to change next.

MoEngage MCP Connector. Connect MoEngage to external AI systems like Claude and ChatGPT through the Model Context Protocol. Your own agents read MoEngage context, coordinate with Merlin agents, and take action across your stack without custom integration work.

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Sitecore Acquires Scrunch to Help Brands Influence Discovery and Buying Decisions in the AI-Search Era

PRNewswire

June 3, 2026

Sitecore Acquires Scrunch to Help Brands Influence Discovery and Buying Decisions in the AI-Search Era

***Enables marketers to shape how their brand appears across AI-powered search* *by combining insights from “answer engines” with omnichannel content optimization***

Ensures that customers experience personalized guidance from discovery to decision

Sitecore announced that it acquired Scrunch, an AI customer experience platform that helps brands understand and improve how they appear in AI search. The acquisition comes as large language models and AI generated answers dominate the digital landscape where buyers research solutions, compare options, and decide what deserves their attention and money. To compete, companies must continuously create, curate, and connect content that can be properly interpreted by these platforms.

AI systems influence brand perception: which offerings appear in answers, which competitors get mentioned, and which sources are cited. By the time buyers reach a brand – if they reach it at all – they have often already formed a point of view.

Brands need a scalable way to see where they appear in AI answers and to fix what AI is missing or getting wrong. Scrunch provides visibility into where brand messages are appearing, missing, or misrepresented in AI-driven discovery, working in concert with SitecoreAI to shape and manage content across AI ecosystems and other digital channels.

This transaction comes at a critical inflection point where brands must move from insight to action. It combines Scrunch’s insights, recommendation capabilities, and Agent Experience Platform (AXP) with Sitecore’s AI-powered digital experience platform (DXP). Together, Sitecore and Scrunch create a connected platform that publishes content across channels with brand integrity and message clarity, increasing traffic, improving conversion, and enabling organizations to measure performance. These capabilities help brands ensure that buyers find, trust, and choose them.

“AI has changed buyer behavior forever. We’re at a pivotal moment where companies must rethink traditional digital strategies and accept that the internet must be written for machines to understand if we want humans to experience it,” said Eric Stine, Chief Executive Officer of Sitecore. “With Scrunch, we enable our customers to understand how they are represented in AI-generated answers and automatically act on those insights, maximizing how they reach, engage, and serve their customers. We’re helping brands show up with greater clarity, authority, and relevance so they can build trust, increase share of voice, and influence decisions early in the buying journey when it matters most.”

“Control of the brand narrative is shifting, and customers are increasingly trusting AI to define brands, rather than the organizations behind those brands,” said Chris Andrew, Chief Executive Officer of Scrunch, a Sitecore company. “By joining forces, we’re helping companies meet buyers where they are, moving beyond traditional SEO to win inside AI-generated answers. That’s where Scrunch’s AXP is a critical advantage, delivering content in a format AI agents can read and use, without disrupting the human experience, allowing brands to become the trusted sources that power those answers.”

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Driving Traffic, Delivering Outcomes
Customer adoption demonstrates the potential of Scrunch’s approach. In customer case studies and analyses, organizations using Scrunch have seen measurable improvements in AI search visibility, citations, and business outcomes.

With Scrunch, Akamai evaluated AXP-enabled webpages against comparable non-AXP webpages across tracked AI search prompts and models. The analysis found that AXP-enabled pages achieved a 364% increase in brand presence for non-branded prompts and a 218% increase in citations in AI-generated results.

In a separate study, Runpod used the Scrunch platform to expand prompt tracking and identify rendering and indexing issues that were limiting AI discoverability. Runpod reported a 400% increase in paying customers associated with its AI search optimization efforts.

“At Perficient, we’re building an AI-first marketing engine focused on speed, relevance, and real impact,” said Carrie Grapenthin, Chief Marketing Officer of Perficient. “As a customer and partner of both Sitecore and Scrunch, this combination is an exciting opportunity for our team. Insight without action isn’t enough. Scrunch helps us see where our brand is showing up, where gaps exist, and what needs to improve. Sitecore helps us act on those insights across the content and experiences we already manage, so we can move faster and deliver differentiated content in our unique brand voice.”

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Connecting AI Insights to Content, Engagement and Performance
The transaction addresses a growing enterprise need: helping brands understand how AI represents them and act on what needs to change. The issue is not simply more content. Most enterprises already have a lot of content, but it is often fragmented, outdated, or hard for AI systems to access and interpret. The opportunity is to make the right content clear, current, and contextualized for the machines that increasingly shape what buyers see before they ever reach a brand’s website. Scrunch provides visibility into buyer queries, brand representation, and competitive positioning, while SitecoreAI enables teams to manage and activate content across web, social, and other digital channels, helping organizations continuously improve performance and drive engagement.

Advancing AI-Driven Content Optimization
Standalone Answer Engine Optimization (AEO) platforms typically show which questions a brand wins or loses, where competitors appear, and which sources shape the answer. Scrunch goes further by:

Moving beyond the website: Scrunch surfaces valuable knowledge across the broader content estate, not just publicly available web content.
Delivering actionable recommendations for brands: Scrunch gives next-level visibility across the broad landscape of Large Language Models (LLMs) – ChatGPT, Google Gemini, Perplexity, etc. – identifying the content, source, and delivery opportunities teams can act on to improve how their brand appears in AI answers. These recommendations will be automated within the SitecoreAI Content Management, Content Marketing, and Digital Asset Management solutions.
Optimizing content for AI agents: Scrunch’s AXP delivers content formatted for LLMs in a way that AI agents can read and use, without disrupting the human experience.
Driving execution: Unlike standalone tools, Scrunch connects directly to Sitecore workflows, enabling faster action and continuous improvement.

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TeamViewer brings Windows AI API to Assist AR for clearer, smarter remote assistance to frontline workers

PRNewswire

June 3, 2026

TeamViewer brings Windows AI API to Assist AR for clearer, smarter remote assistance to frontline workers

TeamViewer, the global leader in remote connectivity and digital workplace solutions, has partnered with Microsoft to bring on-device AI capabilities to Assist AR, the remote assistance solution for frontline workers and industrial environments within the TeamViewer Frontline suite. The result is sharper video for remote supporters guiding field technicians, even when the technician is on a weak or unstable mobile connection.

When a field engineer needs remote guidance to fix a piece of industrial equipment, every second counts. Frontline workers are frequently in locations where mobile coverage is patchy at best: factory floors, remote worksites, or out in the field. A blurry or freezing video feed can be the difference between a quick fix and hours of costly downtime, and traditional remote assistance tools struggle to maintain quality under these conditions.

Marketing Technology News: Feature-Rich to Functionally Effective: Adjusting your Martech Strategy

TeamViewer Assist AR now leverages the new Windows AI API for Video Super Resolution (VSR), announced as a Public Preview at Microsoft Ignite 2025. Assist AR utilizes the new capabilities to deliver better video quality in poor network conditions, reduce video artefacts and errors, and optimize bandwidth use. VSR uses models running locally on the receiving device to reconstruct and sharpen incoming video in real time across a broader set of Windows PCs with powerful CPUs.

“TeamViewer is a global leader in Frontline Worker Augmentation and specializes in Remote Guidance. We’re thrilled to collaborate with Microsoft to deliver top-tier video resolution even under challenging network conditions for our users. This collaboration underscores our dedication to addressing real-world issues faced by those who keep operations running,” says Alfredo Patron, Executive Vice President of Global Partner Ecosystem & Channels at TeamViewer.

For organizations that depend on remote expertise — in manufacturing, utilities, healthcare, or field services — this translates directly into faster problem resolution, fewer on-site visits, and reduced operational costs. Teams can collaborate more effectively regardless of where people are or what network they’re on.

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“At Microsoft we continue to invest in enabling on-device AI capabilities for Windows app developers, and we’re pleased to partner with TeamViewer to enhance remote support experiences for our shared customers using the new Windows AI API for Video Super Resolution,” said Mik Chernomordikov, Head of Windows Developer Relations and Partnerships at Microsoft.

The VSR-enhanced version of Assist AR is now available in closed Beta, with general availability planned in the coming weeks with VSR on Copilot+ PCs. TeamViewer also intends to bring this capability to other products across its portfolio.

Assist AR with VSR will be featured at Microsoft Build 2026 (June 2–3, San Francisco and online), with live demonstrations at the Microsoft and Intel booths, and a dedicated breakout session exploring how local AI on Windows 11 is transforming frontline productivity.

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Ondexx Announces Content Extraction API: Powering Your AI Initiatives

MTS Staff Writer

June 3, 2026

Ondexx Announces Content Extraction API: Powering Your AI Initiatives

Ondexx’s new API provides a technical framework that ensures accuracy and maintains permission structures for enterprise data used in internal AI solutions.

Ondexx today announced the availability of its Ondexx Content Extraction API, launched in conjunction with the rollout of its Ondexx 6.0 release. Engineered for enterprise operations across North America, the new API provides a secure framework to ensure data accuracy and preserve structural context at scale, by feeding verified business knowledge directly into internal AI initiatives.

The utility of AI depends on the data it consumes. Our API provides a secure pipeline for your enterprise knowledge, ensuring internal AI tools provide outputs that are accurate, reliable, and secure.”

— Paul Quigley, CEO, Ondexx

As enterprises adopt LLM’s and other AI tools, the accuracy of AI outputs is increasingly dependent on the structure and reliability of the source data. The Ondexx API addresses the ’garbage in, garbage out’ challenge by allowing systems to access a ‘single source of truth’ across all enterprise content and information contained within the Ondexx environment, ensuring that AI-driven insights are based on verified and compliant information. The REST-based interface is designed to provide organizations with a secure, automated method for transferring internal business knowledge into artificial intelligence (AI) models and Retrieval-Augmented Generation (RAG) workflows.

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“The utility of AI is directly tied to the structure and quality of the data it consumes,” said Paul Quigley, CEO of Ondexx. “This API functions as a secure pipeline, allowing corporate intelligence to move from our platform into any enterprise system that requires it”.

Technical Specifications and Enterprise Utility:
• RAG Optimization: The API extracts structured content alongside rich metadata to provide context for AI models, with the goal of reducing hallucinations.
• Integration Standards: Utilizing a RESTful architecture, the tool integrates with existing enterprise ecosystems and machine learning pipelines.
• Governance and Security: Authentication is managed via OAuth 2.0 and OpenID Connect (OIDC), ensuring that data remains within governed enterprise boundaries during extraction.
• Operational Consistency: The automated extraction process is intended to replace manual data synchronization between departments, maintaining information consistency across disparate systems.

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Architectural Framework and Data Continuity
Unlike traditional data transfer methods that extract raw text into disconnected files, the Ondexx Content Extraction API preserves the original structure and meaning of enterprise information. By maintaining complete document relationships during transfer, the interface removes the need for technical teams to manually rebuild data frameworks, lowering the risk of inaccuracies and preserving organizational knowledge.

“To deploy internal artificial intelligence systems that actually work, organizations must feed them accurate data,” said Dr. Anthony ‘Tony’ Rhem, CEO of AJ Rhem & Associates. “This API ensures that downstream workflows draw strictly from a verified, permission-governed environment, automatically preserving correct user permissions and complete document structures. This structural continuity stops AI tools from guessing or generating inaccurate responses, giving teams reliable answers without forcing IT departments to constantly clean up messy data files.”

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SnapSoft Partners with ziggiz to Revolutionize Enterprise Data Management

MTS Staff Writer

June 3, 2026

SnapSoft Partners with ziggiz to Revolutionize Enterprise Data Management

SnapSoft announced the successful completion of a comprehensive cloud transformation and migration project for ziggiz.ai.

SnapSoft announced the successful completion of a comprehensive cloud transformation and migration project for ziggiz.ai. By transitioning ziggiz’s semantic data platform from Azure to Amazon Web Services (AWS), SnapSoft has enabled the cybersecurity company to scale its intelligent automation capabilities and accelerate client onboarding through a robust, automated infrastructure.

At ziggiz, we operate in sectors where data security and compliance are non-negotiable. Partnering with SnapSoft to migrate to AWS has been transformative.”

— George Webster, CEO of ziggiz

ziggiz.ai specializes in a semantic data platform that transforms how large multinational enterprises and non-profit healthcare organizations consolidate and analyze data. Facing ambitious growth targets, ziggiz required a more scalable environment capable of meeting stringent compliance standards, including those for healthcare sectors.

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SnapSoft spearheaded a phased migration strategy that modernized ziggiz’s entire technology stack. Key highlights of the transformation include:

Infrastructure Modernization: Migrating containerized services to Amazon ECS and transitioning legacy SQL databases to Amazon RDS for PostgreSQL.

Advanced Data & AI: Integrating AWS Bedrock to power ziggiz’s AI strategy and implementing a high-performance streaming platform using Amazon Kinesis and Amazon MSK (Managed Streaming for Apache Kafka).

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Automated Scaling: Developing a robust CI/CD pipeline using GitHub Actions to automate the provisioning of new client environments, significantly reducing time-to-market.

Security & Compliance: Establishing a refined AWS Landing Zone with AWS Organizations, CloudTrail, and AWS Config to ensure enterprise-grade governance.

“Our partnership with ziggiz is a prime example of how SnapSoft leverages our expertise to solve complex architectural challenges,” said Daniel Kerényi, CEO of SnapSoft. “By moving to AWS and integrating advanced services like AWS Bedrock, ziggiz is now equipped with a future-proofed platform that can handle the most sensitive data workloads in the world. We are proud to support their mission of transforming enterprise data management through intelligent automation.”

The migration has already yielded significant business outcomes for ziggiz, including improved operational efficiency and cost optimization. The automation of infrastructure updates has allowed ziggiz’s engineering team to shift their focus from manual maintenance to core product innovation.

“At ziggiz, we operate in sectors where data security and compliance are non-negotiable. Partnering with SnapSoft to migrate to AWS has been transformative; by implementing a sophisticated Landing Zone and automated governance, they’ve provided us with a fortress-like infrastructure. This foundation allows us to scale our semantic data platform with absolute confidence, knowing that we can meet the rigorous security standards of our healthcare clients while delivering innovation at speed.” — George Webster, CEO of ziggiz

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Caleb Hammer Launches Hammer Elite on Uscreen, Expanding the Financial Audit Universe Beyond YouTube

Business Wire

June 3, 2026

New Streaming Platform Brings Ad-Free Episodes, Exclusive Shows, and Behind-the-Scenes Access to One of YouTube’s Biggest Podcast Shows

Caleb Hammer announced the launch of Hammer Elite on Uscreen, a leading video membership platform built to expand the world of Financial Audit far beyond YouTube. The new platform gives fans ad-free access to the show they love, a slate of exclusive original programming, and a deeper look at the team and personalities behind one of the most talked-about podcast shows on YouTube.

Hammer Elite gives us room to actually go deeper with these guests, get into the conversations that didn’t fit, and bring the audience along for everything that happens around the show. It’s still Financial Audit at the core. There’s just way more of it.

Hammer Elite is already one of the largest creator membership communities on YouTube. With the launch of the dedicated Hammer Elite app, members now get a full streaming experience built entirely around the Financial Audit universe with organized show hubs, a binge-worthy content library, expanded archives, exclusive programming, and improved viewing across devices. Fans can access Hammer Elite directly through YouTube Memberships or unlock the full premium experience on the dedicated Hammer Elite app, powered by Uscreen.

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“Our community shows up for the real conversations, the chaos, and the moments that go deeper than the episode itself,” said Caleb Hammer. “Hammer Elite is where we get to give them more of all of that. More episodes, more access, more of the team, and an experience built specifically for the audience that made Financial Audit what it is today.”

On June 27th, Hammer Elite will host Hammer Elite Day, a four-hour livestream showcasing all of the platform’s premium shows and giving fans a live look at what the membership has to offer.

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“The biggest creators today are building more engaged audiences through platforms they own while continuing to grow on YouTube,” said Allison Yazdian, CEO of Uscreen. “Hammer Elite is a textbook case of what that looks like when it’s done right: YouTube as the front door, and the Uscreen app as the more immersive, unfiltered behind-the-scenes experience.”

The Hammer Elite app launches with a lineup of original programming built around the Financial Audit world, including: Post Show, Audit Update, Audit Breakdown, Member’s Exclusive Financial Audit, Behind the Scenes, Dating Audit, Budget Buddies, and Hammer It Out.

“This is the part of the show our community has been asking for,” Caleb Hammer added. “Hammer Elite gives us room to actually go deeper with these guests, get into the conversations that didn’t fit, and bring the audience along for everything that happens around the show. It’s still Financial Audit at the core. There’s just way more of it.”

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CrossCheck Media Inc. Announces Launch of the Biz Talk Today TV App

PRNewswire

June 3, 2026

CrossCheck Media Inc. Announces Launch of the Biz Talk Today TV App

New Streaming Platform Expands Global Access to Premier Business, Finance, Politics, Sports & Entertainment Programming

CrossCheck Media Inc., the innovative media company behind Biz Talk Today TV (BTT), officially announced the launch of the Biz Talk Today TV app, now available for download on both Apple and Android devices worldwide. The app delivers live and on-demand access to BTT’s rapidly growing lineup of premium television programming focused on business, investing, economics, politics, law, sports betting, artificial intelligence, and pop culture.

As consumer viewing habits continue shifting toward digital streaming platforms, the Biz Talk Today TV app provides audiences with direct access to high-quality, engaging content anytime and anywhere. The app further strengthens CrossCheck Media’s expanding global footprint across streaming television, podcasts, and digital publishing.

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The Biz Talk Today TV platform features a diverse lineup of original programs hosted by prominent market strategists, economists, media personalities, sports analysts, and business leaders. Popular shows include The Money Path, Financial Compass, Hatfield Economics, Wayve Wire, Power Hour, Buy Hold Sell, and Madden On The Line.

“Our mission has always been to build a modern media platform that delivers intelligent, entertaining, and impactful content directly to audiences across the globe,” said Todd M. Schoenberger, Chief Executive Officer of CrossCheck Media Inc. “The launch of the Biz Talk Today TV app represents a major milestone for our company as we continue expanding our reach beyond traditional television and legacy business networks. Consumers want instant access to credible information, compelling personalities, and dynamic conversations — and that’s exactly what BTT delivers.”

The app allows viewers to stream live broadcasts, watch archived interviews and market analysis, and stay connected to breaking financial and business news in real time. Programming is designed to appeal to investors, entrepreneurs, business professionals, sports enthusiasts, and consumers seeking thoughtful commentary and engaging discussions on today’s most important topics.

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In addition to mobile access on Apple and Android devices, Biz Talk Today TV content is also available across major connected television platforms, including AppleTV, Roku, Amazon Fire TV, Samsung TV, and additional streaming services.

CrossCheck Media continues to aggressively expand its media ecosystem through strategic growth across video streaming, audio podcasts, and digital publishing initiatives, including The American Wealth Brief and other financial media properties.

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Project 100 Opens Office in Oakland California and Introduces New Marketing Services to Small Businesses

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Ada brings an entirely new level of intelligence to supply chain design—autonomously handling the heavy lifting so teams can optimize the network they have and design the network they need, at the speed business demands

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The latest update enables brands to track referral traffic from AI platforms and gain deeper insight into how AI models interpret, position, and recommend their brand online.

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New MCP capability lets teams build and test enterprise workflows directly from AI coding tools and local development environments without compromising security or enterprise guardrails.

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MAX sits as the missing connecting layer between data and execution systems

The first platform to continuously surface margin opportunities while simultaneously optimizing risk and ESG

Powered by codified Kearney methodology and 30M live market signals from Beroe

Designed with a Strategic Advisory Council of 13 global procurement organizations, representing some of the world’s most complex supply chains

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Fusion products will be available via AWS Marketplace

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Web teams gain deeper visibility, flexibility, and control over unwanted bots to adapt to evolving automated traffic across the Intelligent Web

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New integration strengthens Similarweb’s position as the trusted digital data layer powering AI-driven business workflows in Perplexity Computer

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Moving Beyond Task Automation

Transforming Marketing Through Autonomous Execution

Reimagining Sales Operations

Creating More Resilient IT Operations

Strengthening Compliance and Governance

Human and AI Collaboration: The Winning Model

Wrapping up – The Future of Enterprise Operations

Building on innovations introduced at Qlik Connect® 2026, Qlik helps Snowflake customers bring more enterprise data into Snowflake in real time, extend Snowflake and Snowflake Cortex AI workflows with governed enterprise context, and connect analytics to governed action.

Key takeaways:

Bring more enterprise data into Snowflake in real time: Qlik helps customers move data from SAP, mainframe, SaaS, databases, and streaming environments into Snowflake with speed and scale.

Extend Snowflake and Snowflake Cortex AI workflows with governed enterprise context: Qlik helps customers connect Snowflake data with governed data products, lineage, quality signals, and business context, including relevant context that may sit outside Snowflake.

Connect insight to governed action: Qlik extends Snowflake investments with analytics, open agent interoperability, and workflow activation so teams can move from data to insight to action more effectively.

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Purpose-built for law enforcement, legal, government, healthcare, and financial services, VIDIZMO AI Intelligence Hub analyzes video, audio, documents, and images together, on your private cloud, on-premises, or air-gapped network.

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Industry veteran brings 18 years of AdTech customer success leadership to advance client outcomes across fullthrottle.ai’s managed services and platform activations.

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B2C Lifecycle and CRM teams can now design marketing agents that run on their own data, inside their own guardrails, and coordinate with external AI systems like Claude and ChatGPT through an open Model Context Protocol (MCP) server.

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Enables marketers to shape how their brand appears across AI-powered search by combining insights from “answer engines” with omnichannel content optimization

Ensures that customers experience personalized guidance from discovery to decision

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Ondexx’s new API provides a technical framework that ensures accuracy and maintains permission structures for enterprise data used in internal AI solutions.

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SnapSoft announced the successful completion of a comprehensive cloud transformation and migration project for ziggiz.ai.

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New Streaming Platform Brings Ad-Free Episodes, Exclusive Shows, and Behind-the-Scenes Access to One of YouTube’s Biggest Podcast Shows

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New Streaming Platform Expands Global Access to Premier Business, Finance, Politics, Sports & Entertainment Programming

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Building on innovations introduced at Qlik Connect^® 2026, Qlik helps Snowflake customers bring more enterprise data into Snowflake in real time, extend Snowflake and Snowflake Cortex AI workflows with governed enterprise context, and connect analytics to governed action.

***Enables marketers to shape how their brand appears across AI-powered search* *by combining insights from “answer engines” with omnichannel content optimization***