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Bytes Technolab Scales Its Proven MVP Development to Help US Startups and Enterprises Build AI-First Products

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Bytes Technolab Scales Its Proven MVP Development to Help US Startups and Enterprises Build AI-First Products

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Bytes Technolab is an AI-first Product Engineering and AI & Data Implementation partner, engineering intelligent, scalable and market-fit digital products and implementing AI & Data solutions that turn operational complexity into sustainable competitive advantage, trusted across North America, UK, Europe, MENA, Australia and Asia. We partner with startups, mid-market and enterprise companies to build AI-powered products from the ground up and embed intelligence into the operations they already run, de-risking innovation, accelerating time to market and building for scale with ambition. Our depth, structure and strategic clarity turn AI ambition into lasting, measurable business results. Not an agency. A partner who owns the outcome.

Bytes Technolab, an AI-first Product Engineering and AI & Data Implementation Company, is formally expanding its AI MVP Development Partner in USA services to serve startups and enterprises that are done losing time, money, and market share to slow and poorly built digital products.

The move is not a rebrand. It is not a pivot. It is what Bytes has been doing for over 15 years, now structured and scaled specifically for the US market, where the pressure to ship fast and build right has never been higher.

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

“We do not build for today. We engineer for the AI era,” said Mitul Patel, Founder & CEO at Bytes Technolab. “Not an agency. A partner who owns the outcome. That is what US founders and enterprise teams actually need right now.”

The Gap Most Companies Fall Into

Here is something most founders already know but do not say out loud: a badly scoped MVP costs more to fix than it costs to build.

Bytes has watched this play out across hundreds of engagements. A team validates an idea. They bring in a freelancer or a budget shop. Something ships. Then the next six months disappear into rebuilding what should have been done the first time properly. Runway drops. Investor confidence follows.
That pattern breaks when you work with a serious AI MVP Development Partner in USA.

Bytes Technolab approaches Minimum Viable Product development differently. Discovery happens before any code gets written. Architecture gets designed for AI-first scalability from the start. And success gets measured not in features delivered but in real competitive outcomes for the client.

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

What This Looks Like in Practice

A seed-funded SaaS startup came to Bytes with a validated idea, no technical team, and one shot to build something investors would actually fund. In 8 weeks, the team delivered a production-ready, AI-powered MVP solution. The product onboarded 500 users in the first month. It anchored a successful Series A pitch. The investor called it “the most technically credible MVP we have seen at this stage.

That is what Digital Product Development Services in the USA should look like.

Each engagement starts with a structured product discovery workshop. It covers what to build, what to cut and which architecture decisions will define the product’s ceiling for years. From that point, Bytes designs the solution, builds across sprint cycles, and ships something that does not fall apart when real users show up.

Short. Sharp. No guesswork.

AI-Driven MVP Development Services Built for the Real World

Rapid prototyping services are everywhere in the US market. Most of them stop at speed. Bytes do not.

The team’s AI-driven MVP development services in USA cover the full modern stack: Generative AI, Agentic AI, Natural Language Processing, Computer Vision, RAG systems, and workflow automation. These are not features bolted on to impress a demo. They are architectural decisions made to give every product a foundation that gets stronger over time.

For enterprises, this matters just as much as it does for startups. Bytes has delivered AI-powered products and implementations for organizations across the United States. Results from real client work include 60% reductions in manual operations, 30% improvements in forecast accuracy, and revenue impacts running into eight figures.

Startup MVP Development offers the same level of engineering depth. Whether the team is 5 people or 5,000, the framework holds.

POC, MVP, or Full Product? Bytes Helps You Pick the Right One

Confusing a POC with an MVP is one of the most expensive mistakes a company can make. They look similar from the outside. They are completely different things.

Bytes Technolab offers POC development services that stress-test whether something is technically feasible before making a serious investment. If the POC holds up, the team moves into full AI-powered MVP solution development, building a shippable product on solid architectural ground. If production scale is the goal, Bytes engineers for that too.

Think about it this way. A POC answers whether something can be built. An MVP answers whether users will actually adopt it. A production system answers whether it can survive at scale. Bytes helps clients figure out which question they actually need to answer first.

That clarity alone saves months.

Product Discovery Services That Actually De-Risk the Build

Most digital products fail before development starts. Not during a sprint. Before.

The gap between a business idea and a technically validated product strategy is where most builds go wrong. Bytes product discovery services exist specifically to close that gap.

Every engagement opens with a discovery workshop that covers market validation, user needs, technical feasibility, AI opportunity assessment, and architecture scoping. What comes out of it is a validated feature backlog, a solution architecture blueprint, and a risk-reduced development roadmap.

No vague timelines. No bloated feature lists. Just a clear, honest path from idea to launch.

Why US Startups and Enterprises Are Choosing Bytes

Something has shifted in how US founders think about MVP partners. The days of handing a brief to an offshore shop and hoping for the best are fading fast. What founders want now is a partner who understands AI architecture, owns the outcome, and does not disappear after the final sprint.

With 15+ years of engineering experience and 100+ AI-powered product builds, Bytes Technolab helps US startups and enterprises build scalable MVPs without relying on generic templates, positioning the company as a trusted MVP Development Company in the USA.

Startups that build. Businesses that transform. Enterprises that lead. That is who Bytes exists to work with.

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Arc XP and Tickaroo Partner to Bring Live Blogging Workflows to Media Organizations

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Arc XP and Tickaroo Partner to Bring Live Blogging Workflows to Media Organizations

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New Power Up integration enables Arc XP customers to embed Tickaroo live blogs into the Arc XP media operating platform

Arc XP announced a partnership with Tickaroo, a live blogging platform trusted by hundreds of newsrooms worldwide. The partnership enables Arc XP customers to embed Tickaroo live blogs directly into the Arc XP platform through a custom Power Up integration.

The integration gives editorial teams a streamlined way to deliver real-time coverage for breaking news, sports, elections, live events, and developing stories. By bringing Tickaroo’s live blogging capabilities into the Arc XP platform, publishers can manage live coverage within existing publishing workflows while improving speed, flexibility, and audience engagement.

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“Arc XP is focused on helping media organizations build stronger, more sustainable digital businesses, and that starts with giving newsrooms tools that make their work faster, simpler, and more impactful,” said Sharad Vivek, Head of Partnerships at Arc XP. “Tickaroo shares our belief that technology should simplify editorial workflows, not complicate them. This partnership gives our customers a practical way to deliver high-quality live coverage while keeping their teams focused on reporting, audience engagement, and growth.”

Tickaroo helps news, sports, and media organizations deliver real-time stories that build trust, grow audiences, and create new monetization opportunities. Its platform supports live news coverage, sports reporting, major events, multimedia storytelling, AI-powered workflows, and distributed newsroom collaboration.

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“Live coverage has become one of the most important ways publishers build connection and trust with their audiences and drive sustainable revenue at the same time,” said Naomi Owusu, CEO and Co-Founder of Tickaroo. “By partnering with Arc XP, we are making it easier for media organizations to bring real-time storytelling into their existing publishing environments. Together, we can help newsrooms work more efficiently, engage audiences more deeply, and create new opportunities for sustainable growth.”

RND, a shared customer of Arc XP and Tickaroo, has successfully used Tickaroo for nearly a decade. “Real-time coverage is central to how we serve audiences across fast-moving news and events. The combination of Arc XP and Tickaroo gives our teams a more integrated way to publish live updates, streamline workflows, and keep readers engaged when stories are developing quickly,” said Martin Kautz, Head of Media Technologies, RND RedaktionsNetzwerk Deutschland.

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Bloomberg Media Partners with Cision to Bring Its Journalism into Communications Workflows

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Bloomberg Media Partners with Cision to Bring Its Journalism into Communications Workflows

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The partnership expands access to Bloomberg’s full-text content directly within CisionOne.

Bloomberg Media announced a new partnership with Cision, a global leader in consumer and media intelligence, to expand access to Bloomberg’s premium full-text journalism directly within CisionOne, Cision’s media intelligence platform.

“For communications teams, trusted journalism is an important part of understanding the stories, issues and market shifts that matter to their organizations. This partnership gives customers easier access to Bloomberg Media’s full-text business and financial reporting within their CisionOne workflow, helping them monitor coverage, understand context and make more informed decisions.”

 

Through the integration, eligible Bloomberg.com Group Subscribers will be able to view, monitor, and engage with Bloomberg reporting alongside the platform tools they already use to track news, analyze coverage, and inform communications strategy. The partnership gives enterprise communications teams more seamless access to Bloomberg’s premium financial and business reporting within existing workflows.

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“Partnering with Cision brings Bloomberg’s journalism directly into an environment where communications and business executives are shaping strategy and engaging with news,” says Nick Pimm, Managing Director of Enterprise Sales at Bloomberg Media. “There’s a strong alignment between our audiences, and this collaboration allows us to extend Bloomberg Media’s reach while creating a seamless, integrated experience for our shared subscribers.”

“For communications teams, trusted journalism is an important part of understanding the stories, issues, and market shifts that matter to their organizations. This partnership gives customers easier access to Bloomberg Media’s full-text business and financial reporting within their CisionOne workflow, helping them monitor coverage, understand context, and make more informed decisions,” said Stuart Clark, SVP of Content Strategy and Partnerships at Cision.

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Silverfort Integrates AI Agent Identity Control for Microsoft Copilot Studio

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Silverfort Integrates AI Agent Identity Control for Microsoft Copilot Studio

Silverfort Identity Security Platform | Secure all identities—from legacy to cloud.

Silverfort’s Copilot Studio integration secures AI agents with runtime identity & access controls, accelerating safe adoption of agentic AI

Silverfort, an Identity Security company, announced the integration of its Identity Security control for AI agents for Microsoft Copilot Studio. Through its integration, Silverfort delivers inline identity security at runtime, enforcing intelligent access control policies at the precise moment a Copilot agent attempts to act and blocking unauthorized access before execution.

AI agents created in Copilot Studio can authenticate, retrieve enterprise data, trigger workflows, and interact with enterprise systems across cloud and on-prem environments. Every meaningful action ties back to a human user with different privilege levels and multiple machine identities, creating a chain of authentications, authorizations, and potential privilege escalation. Microsoft reports that over 80% of the Fortune 500 are deploying active agents built with low-code/no-code tools, while 29% of employees already use unsanctioned AI agents for work. As business teams move fast with Copilot Studio, security and identity leaders remain accountable for the risk.

“The more access an AI agent has to corporate resources, the more powerful, it becomes. Without deep identity context, there’s no way to make an informed, real-time decision about whether an agent’s action is legitimate or overreach. That’s why agentic security is an identity problem at its core,” said Ron Rasin, Chief Strategy Officer at Silverfort. “Silverfort’s integration with Microsoft Copilot Studio is a recognition that runtime identity enforcement isn’t optional, it’s the foundation for deploying AI with confidence.”

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Runtime enforcement at-the-moment of access

Silverfort integrates into the Copilot Studio ecosystem to enable runtime enforcement. Every time a Copilot agent requests access to a tool or function, Silverfort evaluates the request in real time and returns a decision before the action executes. This prevents unauthorized access, privilege escalation, and unintended actions before they can occur, allowing organizations to adopt AI agents with confidence.

Silverfort’s runtime enforcement:

  • Limits unauthorized privilege elevation. AI agents cannot exceed authorized privileges.
  • Stops risky AI agent overreach. Anomalous access attempts are blocked before execution.
  • Dynamically adapts access policies. Granular access policies dynamically adapt based on real-time context and risk.
  • Creates audit trails. All activity is auditable and tied to enterprise identity governance frameworks and the human using the agent.

“Silverfort’s integration with Microsoft Copilot Studio extends security into the moment of access itself,” said Ankur Arora, Principal Group PM Manager, Microsoft. “This isn’t visibility after the fact. It’s inline, runtime enforcement that evaluates and controls every agent’s access requests before they execute.”

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One control plane for every agent

Enterprises rarely run a single agentic AI platform. Copilot Studio agents often operate alongside third-party and homegrown agents, creating a fragmented control surface. Silverfort extends Identity Security beyond Copilot Studio to deliver unified visibility and control across:

  • Copilot Studio AI agents
  • Human identities
  • Non-human identities, including service and machine accounts
  • External and third-party AI agents operating outside the Microsoft ecosystem

Strengthening AI security strategy for enterprises

This integration reflects Silverfort’s broader strategy to secure AI as identity becomes a primary control plane for enterprises. A long-standing Microsoft collaborator and former Microsoft Partner of the Year, Silverfort continues to expand its role in protecting hybrid and cloud environments. Silverfort is working closely with Microsoft to develop various AI-focused security features.

As enterprises move from AI experimentation to operational deployment, identity is becoming the enforcement layer that determines what agents can and cannot do. Silverfort delivers that enforcement at enterprise scale, analyzing more than 10 billion authentications daily across 1,000+ organizations worldwide, including several Fortune 50 companies.

Silverfort continues to invest in AI-focused security research, including advancements in detecting prompt injection and jailbreak attempts using recursive language modeling (RLM) and other AI security initiatives. By combining deep Microsoft integration, enterprise-scale identity telemetry, and forward-looking AI research, Silverfort is positioning identity as the foundation for securing the agentic enterprise.

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Sevenfold Launches as a Web3 and AI Marketing Agency Built on a Positioning-First Model

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Sevenfold Launches as a Web3 and AI Marketing Agency Built on a Positioning-First Model

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The senior-led strategy, PR, and marketing firm helps blockchain, AI, and emerging technology companies build category leadership through narrative clarity

Sevenfold, a Web3 and AI marketing agency specializing in strategy, public relations, and narrative development, announced its official launch. The firm was founded by Hector Espinoza and Nancy Li following the exit of Multiplied, the agency they co-founded in 2017 working with leading blockchain protocols, infrastructure providers, and decentralized finance platforms.

Both founders were recognized on the Forbes 30 Under 30 list in Marketing and Advertising. Multiplied built a reputation for working with technically complex, high-growth projects at critical inflection points — fundraises, product launches, and category-defining moments.

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Sevenfold was built on the premise that most Web3 and AI marketing fails not because of poor execution, but because the underlying narrative hasn’t been solved. The firm’s positioning-first methodology means every engagement — whether crypto PR, content, brand strategy, or growth — begins with getting that foundation right.

“We watched too many great companies spend serious money on execution before they knew what they were saying or why anyone should care,” said Hector Espinoza, Co-Founder of Sevenfold. “When the narrative is right, everything else performs better. That’s what we build first.”

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The agency works across Web3 marketing, AI communications, public relations, content, and brand strategy — taking engagements from positioning through execution for founders and leadership teams who want a single strategic partner.

“The best work we did at Multiplied was when we were brought in early enough to shape how a company thought about itself before it started talking publicly,” said Nancy Li, Co-Founder of Sevenfold. “Sevenfold is built to operate that way by default.”

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AppTec Simplifies Device Provisioning for Hybrid Workforces with Mobile Device Management

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AppTec Simplifies Device Provisioning for Hybrid Workforces with Mobile Device Management

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AppTec360 Mobile Device Management simplifies device provisioning for hybrid workforces with centralized enrollment, remote setup, and policy control.

Efficient device provisioning is critical for organizations supporting hybrid work environments where employees operate across multiple locations and devices. AppTec360 Mobile Device Management (MDM) provides a centralized approach to device enrollment, configuration, and policy deployment, helping IT teams deliver a consistent and secure user experience from day one.

As businesses continue to balance flexibility with security, AppTec360 simplifies the provisioning process by enabling administrators to configure devices remotely, enforce corporate policies, and deploy applications at scale. This streamlined approach reduces administrative effort, accelerates device readiness, and ensures employees can securely access the tools they need regardless of their location.

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Key Features and Benefits:

Automated Device Enrollment: Simplifies onboarding by enabling devices to be enrolled and configured with minimal manual intervention.

Unified Policy Enforcement: Apply security settings, restrictions, and configurations consistently across managed devices.

Remote Configuration Management: Provision devices remotely, reducing setup time and supporting distributed workforces.

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Application Deployment at Scale: Distribute and manage business-critical applications from a centralized management console.

Enhanced Security and Compliance: Ensure devices adhere to corporate policies and security requirements throughout their lifecycle.

With AppTec360 Mobile Device Management, organizations can simplify device provisioning, reduce operational complexity, and support productive hybrid work environments through centralized management and control.

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Inbox Monster Launches Custom QA With a First-Ever Sendability Score That Proves When Emails Are Ready to Deploy

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Inbox Monster Launches Custom QA With a First-Ever Sendability Score That Proves When Emails Are Ready to Deploy

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Inbox Monster, the integrated deliverability and testing platform for email teams, today announced the launch of Custom QA, which empowers teams to tailor their email QA to their brand’s unique needs.

As part of Inbox Monster’s mission to help email marketers send with confidence, Custom QA is now available in its Creative Suite for enterprise email testing. Instead of wasting valuable time on manual and inefficient review processes, organizations can create specialized rule catalogs to streamline the pre-send workflow.

These rulesets allow email marketers to establish brand standards, design requirements, legal disclaimers, compliance checks and more—all within a single workflow. Organizations can start with 80+ common rules with email best practices built in, then customize their own ruleset to match the way their team works. Every email is automatically analyzed against this custom ruleset, with issues flagged for remediation.

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What sets Inbox Monster’s Custom QA apart from other email testing platforms is its proprietary Sendability Score, which helps teams quickly understand whether an email is ready for deployment. After an email is analyzed against an organization’s custom ruleset, Inbox Monster generates the Sendability Score based on how well that message meets those standards.

“Testing and QA are often the most manual, cumbersome part of an email marketer’s workflow,” said Matt McFee, Managing Director of Inbox Monster. “Custom QA gives teams the confidence to send faster without sacrificing quality or accuracy. With nothing else like it in the market today, we truly believe this is the future of email QA.”

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

With Inbox Monster’s Creative Suite, email marketers can cut their QA time in half, collaborating with their teams in real time, testing interactive content and rendering across 110+ modern clients and devices. In addition to offering Custom QA, the suite encompasses a comprehensive toolset, including AI summaries, live previews, image diagnostics, accessibility checks, and language translation.

Inbox Monster Custom QA

  • Create custom QA rules that match an organization’s unique testing needs for brand, design, legal, compliance and more
  • Choose from a set of 80+ common rules with email best practices already in place
  • See exactly where rules were broken in email creative for easy remediation
  • Receive a Sendability Score for each email to prove it’s ready for deployment

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Highspot MCP Server Now Available in the OpenAI ChatGPT App Store, Bringing Deal Execution Directly Into ChatGPT

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Highspot MCP Server Now Available in the OpenAI ChatGPT App Store, Bringing Deal Execution Directly Into ChatGPT

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Highspot expands its agentic ecosystem with OpenAI integration, enabling sales teams to assess deal health and take action directly from ChatGPT

Highspot, the only agentic platform for go-to-market (GTM) performance, announced that their MCP Server is now available in the OpenAI ChatGPT App Store, giving sales teams access to Highspot content and intelligence directly within ChatGPT.

As organizations rapidly adopt AI, many are finding that general AI tools fall short without trusted business context. Highspot MCP Server connects ChatGPT to real deal activity, recommended content, and performance data — giving sellers tools and contextual guidance based on what works, so they can close deals faster without moving across systems.

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What sellers can now do with Highspot and OpenAI

With Highspot MCP Server available in the OpenAI App Store, sales teams can:

  • Get instant answers to complex sales questions in ChatGPT pulling from Highspot content, deal activity, buyer engagement signals, and meeting data
  • Identify deal risk early and take action by accessing deal health, live signals, and next best steps to win deals faster
  • Get recommended content and sales plays based on live opportunity context and buyer engagement insights
  • Generate personalized pitches tailored to specific deals, buyers, and industries

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

Why this matters now

Sales teams are under pressure to execute faster as opportunities become more complex and buyers arrive with more information. While most AI tools can answer questions, they lack the trusted content, personalized context, and business insights needed to improve real sales outcomes. General AI is only as useful as the trusted context and domain-specific systems connected to it.

Highspot changes that by connecting ChatGPT directly to the GTM system where deal activity, buyer engagement, content, training, and execution signals already live — making AI more contextual, actionable, and effective for revenue teams.

With Highspot MCP Server, sellers can work more efficiently, reduce tool-switching, and move deals forward with greater clarity, consistency, and confidence.

From Highspot’s CEO

“AI is reshaping how sellers work, but its impact depends on trusted context,” said Robert Wahbe, CEO of Highspot. “By bringing Highspot into ChatGPT through our MCP Server, we’re connecting sellers to the content, deal intelligence, and performance insights that drive sales outcomes. It’s a key step in our vision for Highspot Everywhere — meeting reps where they are so they can move opportunities forward with greater speed and confidence.”

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New Relic Introduces AI Coding Observability to Bring Critical Visibility and Governance to AI Coding Assistants

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New Relic Introduces AI Coding Observability to Bring Critical Visibility and Governance to AI Coding Assistants

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Solution will empower engineering and platform leaders with unified cost, security, and performance insight across AI coding tools like Claude Code, Cursor and GitHub Copilot

New Relic, the Intelligent Observability Company, announced development of a new open-source feature called New Relic AI Coding Observability, an observability solution designed specifically for AI-assisted software development. As engineering organizations adopt AI coding assistants at a breakneck pace, these tools often operate outside the traditional observability stack, creating significant blind spots across the business. New Relic AI Coding Observability aims to address these operational gaps by extending production-grade monitoring directly into the coding phase of the software lifecycle, transforming fragmented, unmonitored AI usage into a highly governed, optimized and auditable enterprise advantage.

New Relic introduces AI Coding Observability to empower engineering and platform leaders with unified cost, security, and performance insight across AI coding tools like Claude Code, Cursor and GitHub Copilot

“You can’t manage what you can’t see. AI coding assistants are having a measurable impact on businesses, but without real-time oversight into how they’re behaving, organizations are scaling risk as fast as they’re scaling output,” said New Relic Chief Product Officer Brian Emerson. “New Relic AI Coding Observability will close this gap, removing barriers to quality innovation that succeeds in production.”

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

Bringing enterprise-grade rigor to the AI coding phase

AI coding tools are now producing more code than ever, as Gartner predicts that 90% of enterprise software engineers will use AI code assistants by 2028. However, engineering organizations rarely standardize on just one AI tool. Instead, developers leverage a highly fragmented mix of coding assistants depending on the task. New Relic AI Coding Observability is being designed to future-proof development strategies and introduce a unified, vendor-neutral pane of glass that normalizes telemetry across the major AI coding assistants and correlates it seamlessly with existing production infrastructure.

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

Key features and benefits of New Relic AI Coding Observability will include:

  • Gain insights into code development actions – Teams will be able to move away from blind trust in their AI coding tools to gaining comprehensive insights into how these tools are actually behaving as applications and services are developed.
  • Exercise cost control – AI coding assistants are a rapidly growing line item, yet most organizations treat them as an unmonitored expense. New Relic AI Observability will allow teams to track AI spend and eliminate black box invoices, and forecast spend against budgets and alert before thresholds are hit.
  • Enhance productivity metrics – To understand productivity gains from coding assistant use, the capability will replace anecdotal success stories with hard data and catch inefficiencies and hidden failure modes.
  • Ensure security and compliance – Local-only / zero-outbound mode will run queries entirely within the user’s private network, guaranteeing data sovereignty, privacy and regulatory compliance.
  • Receive strong code transparency – Will eliminate black-box AI skepticism by providing fully readable, open-source and source-available code, empowering engineering and security teams to independently verify data privacy protocols and AI reasoning with certainty.
  • Avoid vendor lock-in – Backed natively by the OpenTelemetry protocol and Model Context Protocol (MCP), the feature will deliver true vendor-neutrality that allows organizations to seamlessly port their telemetry data and AI workflows across any cloud ecosystem or language model provider.
  • Provides broad coding assistant coverage – Will support Claude Code, Cursor, GitHub Copilot, Windsurf and Amazon Q.

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Gartner Marketing Survey Finds Awareness and Conversion Account for 62.6% of Total Media Spend

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Gartner Marketing Survey Finds Awareness and Conversion Account for 62.6% of Total Media Spend

Analysts Explore Strategic Implications of AI-Driven Shifts Toward Digital, Acquisition and Human Capability During Gartner Marketing Symposium/Xpo, June 8-10, in Denver

Awareness and conversion now account for 62.6% of total media spend, as CMOs shift budget toward acquisition and digital channels in pursuit of growth, according to a survey by Gartner, Inc., a business and technology insights company.

Gartner analysts are discussing the key issues facing CMOs during Gartner Marketing Symposium/Xpo, taking place here through Wednesday. The survey showed that labor is claiming a larger share of marketing budgets, underscoring that AI value depends on people, skills and execution, not just technology.

The annual Gartner 2026 CMO Spend Survey was conducted January through March 2026 among 401 CMOs and other marketing leaders in North America, the United Kingdom and Europe across different industries, company sizes and revenue, with the vast majority of respondents reporting annual revenue of over $1 billion.

“As AI reshapes the marketing mix, many CMOs are channeling more investment into digital channels and customer acquisition in pursuit of growth,” said Ewan McIntyre, VP Analyst and Chief of Research in the Gartner Marketing practice. “However, AI is not a shortcut around marketing capability. The organizations that will pull ahead are those that pair AI investment with the people, processes and discipline required to turn it into business results.”

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

AI Accelerates Shifts Toward Digital and Acquisition

CMOs are rapidly shifting budget from offline to digital channels, with digital media now representing more than two-thirds of total media investments in 2026, up 18% since 2024. AI is a key driver of this shift, with CMOs citing enhanced personalization and the need to prioritize channels that can be effectively AI-optimized among the biggest influences on their channel mix.

The survey also shows CMOs are prioritizing customer acquisition over loyalty and retention. As previously stated, awareness and conversion now account for 62.6% of total media spend, a rise of over 10% since 2024, while spending on customer loyalty and retention has declined 29% over the same period to less than 15% of total media spend.

However, the most AI-mature marketing organizations allocate a larger share of budget to customer loyalty and retention and a lower share to digital channels, suggesting that less mature organizations may be over-indexing on short-term optimization and channels that are easiest to measure and automate.

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

“AI can help marketers optimize faster, but optimization is not the same as strategy,” said McIntyre. “CMOs must guard against letting AI steer too much budget toward the channels and stages of the journey that are easiest to tune, while underinvesting in the touchpoints that build long-term customer value.”

Rising Labor Share Signals That AI Requires People, Not Just Platforms

Despite the assumption that AI should reduce people costs, labor is claiming a larger share of marketing budgets. Labor’s share of the total marketing budget rose from 21.9% in 2025 to 24.5% in 2026, suggesting CMOs increasingly recognize that AI value depends on people, skills and execution, not just technology.

This challenge is compounded by low organizational readiness. Seventy percent of CMOs say their internal marketing processes are not mature enough to effectively implement and scale AI, and only 30% report mature or fully developed AI readiness capabilities. In addition, lack of internal AI expertise and talent is the top barrier preventing CMOs from achieving AI-driven efficiency, cited by 38% of respondents.

“AI changes the kind of marketing capability organizations need, but it does not eliminate the need for capability,” said McIntyre. “As CMOs invest in AI-powered transformation, they must also invest in the talent, governance and operating maturity required to make those tools work in the real world.”

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NEWWORK Software Inc. Introduces the World’s First Enterprise Digital Workforce Platform

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NEWWORK Software Inc. Introduces the World’s First Enterprise Digital Workforce Platform

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A new category of enterprise software that enables organizations to build, govern and scale digital employees across every business function

NEWWORK Software Inc., a pioneer in enterprise AI, announced the launch of its Digital Workforce Platform, introducing a new category of enterprise software designed to help organizations deploy, govern and scale digital employees across the enterprise.

The Digital Workforce Platform enables organizations to create, deploy, manage and govern entire digital workforces composed of specialized AI employees capable of collaborating with each other and with human teams.

For decades, enterprise software has focused on digitizing information, processes and workflows. The next transformation is work itself. The Digital Workforce Platform enables organizations to create and operate teams of AI-powered digital employees that work alongside human employees, follow organizational structures, respect governance and compliance requirements and execute business processes across every function of the enterprise.

“ERP systems digitized processes. CRM systems digitized customer relationships. We believe digital workforce platforms will digitize work itself,” said Michael Jaszczyk, co-CEO of NEWWORK Software. “We are not building another AI assistant. We are building the operating environment for a new workforce composed of both humans and digital employees.”

A New Category: The Digital Workforce Platform

Most AI solutions available today focus on individual assistants, chatbots or isolated agents. The Digital Workforce Platform takes a fundamentally different approach. It enables organizations to create, deploy, manage and govern entire digital workforces composed of specialized AI employees capable of collaborating with each other and with human teams.

These digital employees can perform operational work, execute business processes, analyze information, create and manage documentation, interact with enterprise systems, follow approval workflows, escalate decisions when required and operate within defined roles and responsibilities.

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

Just as companies manage human employees through organizational structures, the platform enables them to manage digital employees through the same governance model.

The Agent Operating System: The Runtime for Digital Employees

At the core of the Digital Workforce Platform is the company’s Agent Operating System, which serves as the execution and coordination layer for digital employees across the enterprise. The platform supports coordinated teams of specialized agents that can assume operational roles, follow reporting structures, respect separation-of-duty requirements, operate under delegated authority, collaborate across departments and coordinate multi-step processes.

Each digital employee operates within clearly defined responsibilities and permissions, ensuring alignment with corporate governance and operational controls.

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

Enterprise Governance and Compliance by Design

One of the largest barriers to enterprise AI adoption has been governance. The Digital Workforce Platform was specifically designed for highly regulated industries, including but not limited to financial services, banking, insurance, healthcare, public sector, energy and manufacturing.

Every action performed by a digital employee can be inspected, reviewed and audited, with enterprise governance capabilities that include:

  • Full decision traceability
  • Role-based access control
  • Segregation of duties
  • Four-eyes approval principles
  • Policy-driven decision frameworks
  • Human-in-the-loop governance
  • Enterprise identity integration
  • Regulatory compliance controls

AI Development Platform: Build Your Own Digital Workforce

In addition to the runtime environment, the platform includes a fully integrated AI Development Platform that allows customers to create, customize and deploy their own digital employees and business applications.

Designed for both business users and professional developers, the platform supports low-code and pro-code development models. This allows enterprises to continuously expand and evolve their digital workforce without relying on external development resources.

Business Capability Packs: From Technology to Business Outcomes

While most AI platforms provide technical building blocks, NEWWORK Software delivers preconfigured business capabilities through modular Business Capability Packs. These feature specialized digital employees, workflows, governance policies, data models and integrations for specific business domains, including human resources, customer relationship management, service operations, finance and enterprise resource planning.

Organizations can deploy these capabilities immediately and extend them using the AI Development Platform.

The Operating Mind of the Enterprise

Beyond automation, the Digital Workforce Platform introduces a new intelligence layer across enterprise systems. For decades, organizations have invested heavily in systems of record, including ERP, CRM, HR systems, service platforms and content repositories. These systems store information, but they do not understand it.

The Digital Workforce Platform creates what NEWWORK Software calls the Operating Mind of the Enterprise: an intelligence layer capable of understanding organizational context, business processes, enterprise knowledge and operational objectives. Digital employees can reason across systems, collaborate across functions and execute work based on organizational goals.

“The future enterprise will not be defined by the systems it owns but by the intelligence that operates across those systems,” said Jens Krüger, co-CEO of NEWWORK Software. “We are entering the next major era of enterprise software where intelligence is embedded directly into the business operating model. With NEWWORK, digital employees handle operational work while humans retain oversight and strategic control. It’s a move from systems of record and systems of process to systems of intelligence.”

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SPACInsider Launches AI-Powered Access to Its SPAC Database

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SPACInsider Launches AI-Powered Access to Its SPAC Database

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New SPAC-GPT and MCP access bring AI-enabled analysis to SPACInsider’s proprietary database

SPACInsider, a leading provider of data, analysis and news focused exclusively on the Special Purpose Acquisition Company market, announced the launch of two new AI-powered data access tools: SPAC-GPT and SPACInsider MCP Access.

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

SPACInsider GPT gives subscribers a dedicated AI interface for querying SPACInsider’s proprietary database using natural language. Users can ask questions about SPAC IPOs, terms, sponsors, underwriters, de-SPAC transactions, and other market data without manually building filters or repeating searches across multiple screens.

SPACInsider MCP Access allows eligible firms to connect SPACInsider’s database to MCP-compatible AI environments, including supported workflows in Claude, OpenAI and internal enterprise AI systems. Through Model Context Protocol, or MCP, firms can bring SPACInsider data into the AI tools they are already building or using internally, subject to applicable permissions and subscription terms.

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

“SPACs have always been a data-intensive market, but the challenge for professionals is no longer simply accessing the data that exists. It is how quickly they can get to the right answer based on that data,” said Kristi Marvin, Founder and CEO of SPACInsider. “With SPAC-GPT and MCP access, we are giving clients a more direct way to investigate the SPAC market, whether through our own AI interface or inside the AI workflows they are already developing.”

The launch expands SPACInsider’s data platform from a traditional search-and-filter experience into an AI-enabled workflow layer for investors, investment banks, law firms, advisory firms and other professionals active in the SPAC market.

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EPAM and TGS Announce Strategic Collaboration to Accelerate AI Adoption at Scale in Energy Sector

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PRNewswire
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EPAM and TGS Announce Strategic Collaboration to Accelerate AI Adoption at Scale in Energy Sector

(PRNewsfoto/EPAM Systems, Inc.)

Energy companies gain faster decision making and competitive advantage through integrated, barrier-free workflows

EPAM Systems, Inc., a leading digital and AI transformation company, with TGS, a leading provider of energy data and intelligence, announced the successful deployment of TGS Imaging AnyWare® on Amazon Web Services (AWS). TGS has begun the migration of its imaging systems to AWS Cloud to leverage the agility, cost and performance benefits of elastic cloud infrastructure. The next-generation platform enables select seismic imaging workflows to run much faster with lower computing costs, improving service delivery to energy companies. This milestone advances the Companies’ ongoing work to optimize and AI-enable workflows across the energy sector.

Energy companies face mounting pressure to extract value from subsurface data faster and more cost-effectively than ever before. The technical barriers are significant: managing petabyte-scale seismic datasets, running deeply parallel imaging and interpretation workloads efficiently and scaling computational capacity without locking capital into infrastructure that can’t flex with project demands. Traditional, on-premises systems struggle to meet these requirements, creating bottlenecks that delay critical exploration and production decisions. TGS has now brought a modernized platform into production that addresses these challenges directly, built in collaboration with EPAM, on AWS, to deliver integrated, cloud-native workflows at scale.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“True digital transformation in energy requires partners who understand both the technical complexity and the operational realities of the sector,” said Jason Harman, SVP, Head of Business ME & APAC, Energy at EPAM. “Our collaboration with TGS on AWS aims to deliver capabilities that weren’t economically or technically feasible before — enabling energy companies to extract more value from subsurface data, faster and at scale.”

The collaboration delivers three core capabilities that modernize subsurface operations:

  1. Subsurface Data as a Service – TGS Data Verse delivers centralized, secure and democratized access to seismic and well data through an OSDU-compliant, EPAM-engineered streaming architecture — enabling in-browser visualization and on-demand delivery that accelerates exploration and production decision-making.

  2. Cloud-Native Seismic Imaging at Scale – TGS Imaging AnyWare, modernized by EPAM on AWS, will deliver benchmarked performance gains on select seismic imaging workflows through AWS Graviton-based instances and cost reductions vs on-demand pricing using AWS Spot generic instances.

  3. Composable Workflows and AI Enablement – EPAM’s Energy HPC Orchestrator (EHO), built on AWS cloud infrastructure, enables modular, end-to-end subsurface workflows, with TGS shaping next-generation capabilities.

“TGS has a bold vision for the future of seismic imaging, and AWS is providing the elastic compute, AI services and purpose-built infrastructure to help make it a reality,” said Joseph Santamaria, General Manager, Energy & Utilities at AWS. “Together with EPAM, we’re helping TGS move energy operators from data to discovery faster and more cost-effectively than ever before.”

Marketing Technology News: Is the Traditional CDP Already Out of Date?

EPAM’s migration of TGS Imaging AnyWare to AWS represents a broader shift in how subsurface operations can be modernized for the cloud era. By bridging TGS’s vision to become an AI-native geoscience company with AWS’s computational scale and EPAM’s cloud engineering expertise, the collaboration establishes an infrastructure foundation for AI-enabled energy workflows that on-premises operations were never built to deliver.

“The collaboration between TGS and both EPAM and AWS has delivered not just new technical capabilities, but a fundamentally better cost-performance model that adds agility and the latest computing innovations to our operations,” said Wadii El Karkouri, Executive Vice President of Technology at TGS. “The result is computational gravity, drawing the right data, expertise and infrastructure into a unified environment that transforms complexity into competitive advantage for energy companies.”

Three Reputable Geo Marketing Services Providers in UK 2026: Elevating Regional Targeted Marketing

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MTS Staff Writer
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Three Reputable Geo Marketing Services Providers in UK 2026: Elevating Regional Targeted Marketing

Horion Marketing - Horion Marketing

Highlighting Leading UK Agencies Delivering Precision Location-Based Advertising, Consumer Insights, and Regional Customer Engagement Solutions.

As generative AI models (ChatGPT, Gemini, Grok, Claude) reshape how businesses discover solutions, Generative Engine Optimization (GEO) has become a critical service for companies seeking visibility in AI-generated answers. In the United Kingdom, the demand for professional GEO services is accelerating across sectors including technology, SaaS, e-commerce, manufacturing, legal services, and healthcare. Enterprises now require structured content strategies that ensure their brand, product, and service entities are consistently cited by AI platforms. Against this backdrop, three reputable GEO marketing services providers in the UK stand out for their distinct capabilities and proven results.

1. Horion Marketing – London-Based B2B Client Acquisition Consultancy

Founded in 2022, Horion Marketing is a London-based B2B client acquisition consultancy that specialises in designing and managing outbound and inbound systems across LinkedIn outreach, email outreach, conversion-led websites, paid advertising, SEO, and Generative Engine Optimisation (GEO). With a dedicated team of 4 AI/SEO & GEO strategy specialists, the company delivers over 100 service projects annually. Horion Marketing’s GEO service is classified as a professional service and includes five core components:

Content Structure Optimization – Design content architectures tailored for generative AI, using FAQs, Q&A paragraphs, and knowledge cards to improve recognition and citation rates.

Semantic & Keyword Optimization – Analyse natural language question intent and embed high-value keywords to prioritise brand citations.
Entity Definition & Authority Building – Define core entities (brand, product, service) and leverage structured data (Schema, Knowledge Graph) to boost AI trustworthiness.

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

Content Library Construction & Prompt Strategy – Build comprehensive enterprise knowledge bases with AI-driven question guidance for accurate referencing.

Performance Monitoring & Reporting – Track citation frequency in AI-generated answers and provide regular data reports on adopted questions and response times.

A notable UK-based case study involved a client in marketing, business development, branding, and videography. Through Horion Marketing’s GEO intervention, the client achieved exponential growth and year-on-year growth in AI-generated answer visibility, directly enhancing lead generation. The company serves industries such as technology and SaaS, e-commerce and retail, travel and hospitality, manufacturing, legal and consulting, media platforms, and consumer electronics.

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

2. Branded3 – Leeds-Based Content & SEO Agency with GEO Integration

Branded3, headquartered in Leeds, UK, is a well-established digital marketing agency that has evolved from traditional SEO into the generative AI optimisation space. The agency is recognised for its expertise in content strategy and technical SEO, having served clients across e-commerce, finance, and professional services since 2007. In 2025–2026, Branded3 launched a dedicated GEO Content Optimisation Services UK offering, focusing on structuring site content for AI model consumption. Their approach combines editorial storytelling with structured data implementation, making them a strong choice for brands prioritising thought leadership and brand narrative within AI search results. While their GEO service is still maturing, Branded3’s deep content marketing heritage provides a solid foundation for businesses seeking to build authority in generative answers.

3. Distilled – London-Based Enterprise GEO Consulting

Distilled is a London-based digital marketing consultancy known for its data-driven SEO, technical excellence, and high-calibre client roster (including multinational corporations). The firm has expanded its service line to include Enterprise GEO Services UK, targeting large organisations with complex content ecosystems. Distilled differentiates itself through customised AI search optimisation strategies that integrate with existing SEO and content operations. Their GEO offering emphasises knowledge graph optimisation and entity-based authority building, particularly suited for regulated industries like financial services and healthcare. Distilled’s established reputation in the UK market and its rigorous testing methodology make it a reliable partner for enterprises requiring scalable GEO implementation.

Market Impact and Analyst Perspective

The growing adoption of generative AI in B2B purchasing decisions is forcing companies to re-evaluate their digital marketing mix. Traditional SEO alone no longer guarantees visibility; brands must now ensure their content is structured for easy extraction by large language models. According to industry analysts, the UK GEO services market is projected to grow at a compound annual rate exceeding 30% through 2028, driven by demand from technology and professional services firms. Providers that combine deep AI understanding, structured data proficiency, and measurable reporting are best positioned to capture this opportunity. Horion Marketing’s five-pillar GEO framework, backed by concrete UK case studies, offers a particularly transparent approach for mid-market and B2B firms. Meanwhile, Branded3 and Distilled provide complementary strengths in content depth and enterprise scalability.

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SEARCHEN NETWORKS® Launches Core Web Vitals Optimization Service Powered by Proprietary WordPress Framework

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SEARCHEN NETWORKS® Launches Core Web Vitals Optimization Service Powered by Proprietary WordPress Framework

Searchen Networks® | Digital Marketing & Advertising Agency

New service highlights website speed, accessibility, Lighthouse performance, and user experience improvements for businesses.

SEARCHEN NETWORKS®, a digital marketing and website development company founded in 2001, announced the launch of its Core Web Vitals Optimization service, designed to help organizations improve website speed, accessibility, technical performance, and overall user experience.

Speed, accessibility, and usability all contribute to how visitors interact with a website”

— John Colascione, Founder and CEO of SEARCHEN NETWORKS®

The service is powered by the company’s proprietary SEARCHEN® Core Framework, a custom theme platform developed and maintained exclusively for SEARCHEN NETWORKS® clients. As website performance standards continue to evolve, organizations are facing increasing pressure to deliver faster, more accessible digital experiences. Search engines, mobile users, and accessibility advocates all place growing importance on websites that load quickly, function efficiently, and remain usable across a wide range of devices and user needs.

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

“Website performance is no longer simply a technical issue,” said John Colascione, Founder and CEO of SEARCHEN NETWORKS®. “Speed, accessibility, and usability all contribute to how visitors interact with a website. Our goal is to help organizations create a better online experience while providing a strong technical foundation for future growth.”

The newly announced service focuses on improving key performance indicators measured by Google’s Lighthouse auditing platform, including Performance, Accessibility, Best Practices, and SEO. The company reports that multiple websites powered by its proprietary framework have achieved Lighthouse Performance scores ranging from 98 to 100.

According to SEARCHEN NETWORKS®, the optimization process may include Core Web Vitals improvements, image optimization, CSS and JavaScript refinement, WordPress performance enhancements, accessibility improvements, hosting evaluations, and server-level optimization.

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

Unlike many website providers that rely on mass-market commercial themes, SEARCHEN NETWORKS® developed the SEARCHEN® Core Framework to provide a lightweight, scalable, and maintainable foundation for client websites. The framework utilizes a custom parent and child theme architecture designed to support long-term performance and flexibility.

The company says the framework is not licensed or sold separately and is available exclusively to organizations utilizing SEARCHEN NETWORKS® website services. The announcement comes as businesses increasingly seek solutions that address not only search visibility, but also user experience, mobile performance, accessibility concerns, and technical website quality.

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InnerGroup Appoints Neha Bubna to Accelerate AI-driven Content Production at InnerStudio

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InnerGroup Appoints Neha Bubna to Accelerate AI-driven Content Production at InnerStudio

InnerGroup Logo 2026

Senior appointment adds AI and automation expertise to the offshore creative production studio built specifically for in-house marketing teams.

InnerGroup has appointed Neha Bubna as VP Production, strengthening the AI and technology capability of InnerStudio, its offshore creative production studio. Neha will lead the adoption of AI, automation, and workflow technology to scale content production and drive efficiencies for InnerGroup clients, working alongside Rob Andrews, EVP Global Content, who leads InnerStudio. The appointment marks a new chapter for InnerStudio, placing AI, automation, and intelligent agents at the center of how it delivers for clients.

In-house marketing teams are producing more content, across more channels, with the same or fewer resources. Most have started experimenting with AI. Few have integrated it into how their production operations actually run. The gap between pilot and practice is where time, money, and quality are being lost.
InnerStudio was built to close that gap. Designed specifically for how in-house teams brief, approve, and deliver work, every client works with a dedicated pod – a consistent team focused on their brand, not a rotating pool of resources. The pod gets to know the brand, its standards, and the way the client works.

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

Neha’s role is to go further by fast-tracking the integration of new AI and automation tools so that clients move from experimentation to production-ready practice. InnerStudio is founded on over two decades of offshore creative production infrastructure through EKCS, and covers print, digital, video, CGI, packaging, copy, translation, web design, and retouching.

Neha is a specialist in hybrid and offshore delivery models with experience across Interpublic Group (currently part of Omnicom), WPP, Publicis Groupe, and Tag Worldwide, where she built and led end-to-end creative production solutions for global clients, improving production cycle times, scaling offshore delivery, and driving consistency across markets. She brings a strong track record of improving production operations through process innovation and technology adoption.

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

“The organizations winning at in-house content are building real production infrastructure, consistent teams, smart platforms, and AI-powered operations designed around how they actually work. InnerStudio is already that. My focus is on accelerating the technology layer so clients can produce more, faster, without compromising on quality or consistency.”
Neha Bubna, VP Production, InnerGroup

“InnerStudio gives in-house teams something the market has lacked: a production partner that actually understands how they work and is built to keep pace with how fast the technology is moving. Neha brings the operational depth and delivery experience to make sure our clients get the best of what InnerStudio can deliver. As we incorporate automation and intelligent agents into how we work, her experience running complex production operations at scale is exactly what we need.”
Rob Andrews, EVP Global Content, InnerGroup

Andrews leads InnerStudio and has been with InnerGroup since launch. With a career spanning WPP and Omnicom agencies, design studios in London and India, and Deloitte Digital’s Content Supply Chain practice, he has sat on all sides of the content problem, and understands what it takes to get it right.

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IFS Copperleaf and HData Partner to Embed Regulatory Intelligence into Utility Capital Planning

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prweb
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IFS Copperleaf and HData Partner to Embed Regulatory Intelligence into Utility Capital Planning

Strategic partnership connects HData’s centralized U.S. regulatory data with IFS Copperleaf’s decision analytics platform, giving utilities a direct path from rate cases, commission orders, and peer filings to defensible capital plans, as the sector heads toward a trillion-dollar decade of infrastructure investment.

IFS Copperleaf, the global leader in AI-powered decision analytics for critical infrastructure, today announced a strategic partnership with HData, the AI-native operating system for energy regulation. The partnership connects HData’s centralized library of federal and state regulatory and legislative data — rate cases, integrated resource plans, testimony, commission orders, and FERC and EIA filings — directly into IFS Copperleaf’s capital and asset investment planning platform.

The integration closes a gap utilities have lived with for years: the disconnect between the regulatory and legislative environments that shape capital decisions, and the planning systems where those decisions actually get made. With U.S. utilities projected to invest up to a trillion dollars in infrastructure by the end of this decade — under regulatory scrutiny that intensifies every year — that gap is now a strategic liability.

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

“Utilities are being asked to harden the grid, double capacity, and defend every dollar of it to a regulator — often inside the same capital envelope. HData has built the most complete view of U.S. regulatory activity in the market. We’re wiring it directly into the investment decisions our customers make in Copperleaf — so the next commission order, peer filing, or rate case becomes an input to the plan, not a fire drill.” — Jeff Pauska, VP of Product Management, IFS Copperleaf

HData is the platform where America’s energy future is being decided, serving as the largest customer ecosystem in regulated energy. The platform centralizes regulatory filings from authoritative public sources alongside customer-integrated data. Domain-specific AI built on 20 million relevant, citable documents supports large-scale analysis for policy research, consumer advocacy, rate cases, resource planning, business development research, and financial analysis.

“Utilities are under pressure to balance affordability, reliability, resilience, and decarbonization — and to defend every investment decision in front of a regulator. Our platform centralizes data, domain AI, and purpose-built applications the industry runs on. Connecting it to IFS Copperleaf gives utilities a faster, more defensible path from filing to funded plan.” — Jeffrey Press, Chief Operating Officer, HData

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

IFS Copperleaf’s decision analytics solution is used to manage more than $2.9 trillion of assets globally. Verdantix recognized Copperleaf as a leader in its Green Quadrant for asset investment planning software, citing its market-leading value framework and bottom-up asset modelling.

The combined offering supports utilities across the capital and regulatory lifecycle:

  • Monitoring regulatory trends, commission activity, and emerging policy across jurisdictions
  • Benchmarking investment strategies against peer utility filings and outcomes
  • Preparing rate cases with evidence drawn from comparable proceedings and orders
  • Grounding integrated resource plans in current regulatory reality, not last year’s snapshot
  • Defending capital plans to regulators with traceable, source-anchored evidence

“Utility capital decisions deserve better treatment than massive manual assembly across email threads and PDFs,” Pauska added. “That’s a risk in discovery, and we’re keen on eliminating threats to the investments that keep society running.”

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Combating ad fraud in the age of AI

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Mitsunaga Kikuchi
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Combating ad fraud in the age of AI

In the days of print, advertising was simple. Sure, a magazine could inflate its readership on the margins, but brands could nonetheless be confident that their ads would be seen by actual human beings, as opposed to a swarm of malicious bots.

Those golden days are, of course, long over. Today’s marketers, plying their wares online, are operating in an environment rife with ad fraud, on a sometimes staggering scale: in recent years, over a fifth of all digital ad spend was attributed to fraud, amounting to $84 billion.

It’s true that that number would likely be significantly higher without aggressive ad-marketplace reform efforts over the last decade. But it is not enough to simply say “could be worse” and leave it at that. Not when marketers are losing millions, and especially not when they don’t have to be.

Despite reforms, fraud remains rampant

Anti-fraud initiatives like those undertaken by the IAB Tech Lab have chipped away at this problem without coming close to solving it. We can see this quite clearly through the example of connected TV (CTV), perhaps the fastest-growing ad sector in recent years, and also the sector most plagued by fraud.

In 2020, for instance, the Icebucket scam impersonated millions of “viewers” for high-CPM video ads, in what some have suggested might be the biggest ad fraud scheme in history. At its peak, the scam accounted for nearly a third of total volume on programmatic platforms for CTV, a feat made possible through the counterfeiting of over 300 fake publishers.

Similar scams have proliferated in the years since, from the ParrotTerra scam in 2021 (in which advertisers came close to losing $50 million before detection) and SneakyTerra. These of course, come on the heels of a number of well-publicized scams in the world of conventional programmatic advertising, most prominently the 3ve Botnet, which cost businesses $29 million in ad spend pre-detection.

In addition to affecting a business’s bottom line, large-scale deceptions like these affect the security of customers. And AI is only turbocharging the problem: see, for instance, the AI-powered ad-click malware attack identified by researchers this past January. Here, malware would launch a hidden browser in the background of a user’s phone, load ads invisibly, and then simulate scrolling and clicking. While (to our knowledge) this only led to lost ad spend, this same technique could easily be used for more malicious payloads.

Meanwhile, the advent of agentic AI makes all of this infinitely more complex. Previously, marketers could identify ad fraud by tracking the behavior of bots, which tended to be much more rigid and mechanical than that of humans. But the behavior of agents is much more human-like: unlike bots, they might pause while scrolling or even abandon active carts. Consequently, pinpointing bot activity has never been more challenging.

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

How to fight ad fraud

Clearly, large-scale, collaborative efforts are a prerequisite to meaningful change on this front. But there are absolutely precautions that individual companies can take to prevent wasted ad spend in the here and now.

If advertisers consistently monitor campaign performance, fraudulent activity becomes much easier to identify and eliminate. Click-based ad fraud that generates engagement without real conversions can be quickly flagged and removed, especially when digital ad platforms automate this process.

Even more sophisticated fraud schemes that simulate conversions can be uncovered when advertisers connect their ad campaigns to CRM systems, order data, and actual purchase or subscription metrics, allowing advertisers to distinguish genuine customer activity from fabricated results.

Most significantly, these include:

1) Click origins:

If 30% of your clicks are suddenly coming from a country that doesn’t match your customer base, that’s a fairly reliable indication that your traffic is fraudulent.

2) Speed of access:

If you notice the same device signature accessing two or more campaigns across different platforms within seconds, you can be fairly confident you’re dealing with automation. This connection can’t really be made on the platform end, because ad platforms only see their own traffic: it’s up to the marketer to suss out the potential fraud.

3) Be mindful of return on ad spend:

One thing a bot will almost certainly never do is actually buy one of your products. In other words, while clicks are eminently fakeable, actual sales are much less so. It’s not uncommon for some marketers to get lost in the data and lose track of the bottom line. This is a tendency that is very much worth resisting.

Some degree of fraud in the online ad space is probably inevitable. But the degree of fraud we’re seeing now is not. As exciting as the advent of AI has been for marketers, it has unleashed perils whose scope we are only now beginning to understand in full. They are sweeping, complex, and ignored only at marketers’ peril.

About Shirofune

Shirofune, an AI-driven digital advertising automation platform used by major global brands and agencies (such as Dentsu) to optimize campaigns across platforms like Google, Meta, and TikTok

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

Claude Now Enabled by ZoomInfo’s GTM Context Graph, Powered by GTM.AI

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Business Wire
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Claude Now Enabled by ZoomInfo's GTM Context Graph, Powered by GTM.AI

ZoomInfo Logo

ZoomInfo has made its verified GTM intelligence available inside Claude through GTM.AI, so ZoomInfo customers get verified company, contact, and signal data directly inside Claude.ai and Claude Code.

ZoomInfo, the all-in-one AI GTM platform, has made its verified go-to-market data available inside Claude, Anthropic’s frontier AI assistant. Through a native connector ZoomInfo published in the Claude connector directory, ZoomInfo customers can now pull verified company, contact, and buying-signal data directly into their Claude conversations. The infrastructure underneath is GTM.AI, ZoomInfo’s headless GTM context layer.

ZoomInfo’s verified GTM data is now available inside Claude and Claude Code, so teams can research accounts, build lists, and run agentic workflows on the GTM Context Graph, powered by GTM.AI.

GTM.AI exposes ZoomInfo’s verified data and agentic orchestration through API and Model Context Protocol (MCP), the open standard Anthropic created, so any platform, agent, or workflow can plug in. The data backbone is the GTM Context Graph, which holds identity-resolved records on more than 100 million companies, 500 million contacts, and billions of buying signals, continuously refreshed and continuously queryable. Claude reads from that graph rather than from whatever a user pastes into a prompt.

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

ZoomInfo Intelligence Now Available Inside Claude. ZoomInfo customers connect their entitlement to Claude through the native connector listed in the Claude.ai connector directory. Once connected, a user asking Claude about a company, a contact, or a target account gets verified ZoomInfo data inside the response. Firmographics, technographics, contact records, and buying signals appear in the conversation. The same connector is also available inside Claude Code.

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

You ask for what you need in plain language, the way you would a coworker. A rep can ask Claude to map the decision makers at a target account, build a contact list with verified titles and company context, or check a company’s tech stack and recent buying signals, and the connector returns ZoomInfo’s verified records inside the answer. In Claude Code, the same connector becomes a building block for agentic GTM workflows. A GTM operator can build an agent that researches a target list, enriches the contacts, and scores the accounts in one run, with every step calling ZoomInfo through MCP for verified data.

Claude joins dozens of completed integrations on GTM.AI, alongside Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Gong, LeanData, Glean, ChatGPT, and Google. The same governance applies everywhere. Access control, permissioning, data lineage, AI policy, and audit logging run consistently across every surface that consumes GTM.AI. The Claude integration inherits that posture. Customers maintain one governance plane across ZoomInfo, Claude, and the rest of their GTM stack.

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FreakOut Launches HAWK, an AI Agent for Autonomous Social Ad Operations

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MTS Staff Writer
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FreakOut Launches HAWK, an AI Agent for Autonomous Social Ad Operations

FreakOut, Inc., a subsidiary of FreakOut Holdings, Inc. (TSE Standard: 6094) and a provider of advertising technology across Japan and North America, today announced the launch of HAWK, an AI agent that autonomously executes the day-to-day operational workflow of social media advertising. From an incoming RFP, HAWK builds the media plan and pricing, configures and delivers the campaign, and reports on results across social platforms, including Instagram and TikTok, allowing operations teams at agencies and in-house brand teams alike to direct strategy while the agent carries out execution.

FreakOut is launching HAWK on the strength of extensive real-world validation: prior to general availability, HAWK has been used to run more than 500 campaigns across FreakOut’s in-house operations and in live deployments with pilot clients.

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Addressing a structural constraint in social advertising
As social advertising spend continues to expand, the supply of operators who can manage campaigns across platforms — Meta Ads across Instagram and Facebook and TikTok Ads, among others — at a high level of proficiency has not kept pace. The work is operationally complex and demanding, and offers limited career progression, contributing to high turnover among specialists.

As a result, the expertise that skilled operators accumulate rarely remains within the organization. When they depart, their working knowledge departs with them. This key-person dependency has become a structural risk for agencies and advertisers, placing increasing pressure on teams already operating at capacity.

HAWK is designed to address this constraint directly. It transfers the operational workload to an AI agent while capturing and retaining operational knowledge within the platform, so that expertise compounds at the organizational level rather than residing with individuals.

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How HAWK works
An operator initiates a campaign by providing HAWK with a free-form brief: a client email, a Slack or chat message, or meeting notes. HAWK’s AI agent interprets the input and executes the operational workflow:

Interprets the brief — media platform, client, category, product, ad format, targeting, KPIs, flight dates, and margin — and configures the campaign automatically
Responds to RFPs with a media plan and pricing, drawing on historical performance and correctly accounting for margins that span multiple agencies
Monitors pacing and KPI progress in flight, and automatically adjusts daily budgets
Generates post-campaign insight reports and recommended next actions

Because every RFP response, campaign configuration, delivery result, operating rule, and report is retained within HAWK, organizations preserve and reuse their operational knowledge even as individual team members change roles or depart.

HAWK is offered as a SaaS platform on a fixed monthly subscription, rather than as a revenue share on media spend, enabling buyers to evaluate the value of the technology independently of media costs. HAWK is available in four tiers — Bronze, Silver, Gold, and Platinum — to fit a range of team sizes and usage needs. Details are available on request.

The launch reflects a broader shift in how advertising operations are run. Yuzuru Honda, Chief Executive Officer of FreakOut Holdings, Inc., said:

“We have spent over a decade automating how ads are bought, building the programmatic infrastructure behind real-time advertising. But the operational work around that buying still ran on people, and it did not scale: our most capable operators became the bottleneck. We built HAWK to solve that for our own teams first, and we are now extending it to the broader market — where it can turn ad operations from a cost center into a source of growth.”

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