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

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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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Elastic Observability Gives SREs a Head Start on Kubernetes Incident Investigations

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MTS Staff Writer
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Elastic Observability Gives SREs a Head Start on Kubernetes Incident Investigations

Elastic Docs | Elastic

New Kubernetes investigation workflows and agent skills analyze logs, metrics, anomalies, and cluster events, surfacing root causes and next steps automatically.

Elastic , the Search AI Company, introduced an agentic Kubernetes investigation workflow and MCP-based observability skills that diagnose incidents the moment an alert fires. By the time an SRE opens the alert, the root cause has already been identified, evidence has been assembled, and recommended next steps have been surfaced.

For teams running Kubernetes at scale, the gap between alert and answer costs time, compounds outages, and wears down on-call engineers. Elastic closes that gap by starting the investigation automatically, before anyone is paged.

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Elastic Observability builds on Kubernetes dashboards, prebuilt alert templates, and ML-powered anomaly detection to deliver two ways to accelerate from alert to resolution: an agentic investigation workflow that runs diagnostics automatically when alerts fire, and a Kubernetes MCP App with skills that brings the same investigation capabilities into the AI tools and IDEs engineers already use — Claude, Cursor, VS Code, and any MCP-compatible client.

The Elastic Observability MCP App lets SREs investigate Kubernetes environments conversationally, with AI agents querying live data from Elasticsearch and surfacing fully interactive views directly in the tool: cluster health rollups, service dependency graphs, anomaly detail with actual versus typical values, blast radius analysis for node failures, and persistent alert rule management.

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

Elasticsearch stores all Kubernetes logs and metrics at scale with 2.5x better storage efficiency than other observability vendors, ensuring engineers have access to the full operational context needed to investigate incidents. Whether the agentic workflow delivers a confirmed root cause or a structured starting point for continued investigation, SREs never start from scratch.

“Engineers who get paged at 3 a.m. don’t want to start a new investigation from scratch, they want answers,” said Bahaaldine Azarmi, general manager, Observability at Elastic. “With this release, Elastic kicks off the investigation the moment an alert fires, so teams reach resolution faster and with more confidence. And because it runs inside the tools engineers already use, there’s no context switch and no new interface to learn.”

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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.

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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.

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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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Synup Launches AI Content Assistant to Power Visual Social Content for Marketing Agencies

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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CreatorOS launches Nutcake to bring AI-powered assistance to creator marketing

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MTS Staff Writer
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CreatorOS launches Nutcake to bring AI-powered assistance to creator marketing

CreatorOS logo

CreatorOS, the creator marketing platform that has powered campaigns for brands including McDonald’s, Three, Crocs, Subway and Channel 4, is today launching Nutcake, an AI-powered assistant designed to help brands and agencies run creator marketing faster, smarter and with less manual effort.

This marks a significant evolution for the business, founded in 2020 by Tim Mitchell and Will Cookson. Where CreatorOS established the infrastructure for end-to-end creator campaign management, Nutcake brings an agentic intelligence layer on top of that foundation.

Nutcake automates the operational complexity of influencer marketing across its connected ecosystem of brands and creators. It combines proprietary data, automation and AI to handle everything from strategy, creator discovery and brief generation through to project management, contracting, payments and campaign delivery at scale.

Core to Nutcake’s launch is a competitive intelligence tool, available for free to brands and agencies from day one. By tracking collaborations in real time, Nutcake enables brands to monitor competitor creator activity as it goes live. It can identify emerging trends, understand what formats, hooks and messaging approaches are driving results in a specific category. With more than 500,000 sponsored #ad posts in the database already, with 50,000 added each week and an additional 100,000 brand posts tracked, the proprietary dataset underpinning Nutcake is growing rapidly to become one of the most significant in the market.

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Brands and agencies can share campaign objectives with Nutcake which will identify the best content creator style that fits with the most relevant formats. It can also write a tailored brief that fits both the brand’s goals and the creator’s organic voice. From there, it can manage the workflow including sending reminders, tracking submissions and keeping campaigns on schedule, before analysing performance once content goes live.

Nutcake also supports creators to ensure campaigns run smoothly from end-to-end. Creators can share live audience statistics straight from Meta and TikTok APIs, live-chat and collaborate with brand partners via a WhatsApp integration, as well as share proactive pitches with brands they love. Nutcake’s contract guidance tools help creators understand what they are signing and advocates for fair terms, ensuring that the growth of creator marketing works for the people making the content, as well as the brands commissioning it.

CreatorOS has also opened 15,000 vetted UK creator profiles publicly on the platform, giving brands and agencies free access to a curated database of high-quality professional brand-ready creators. Unlike broader discovery platforms that list millions of global profiles, every creator in the Nutcake database has been vetted for professional readiness, with direct agent contacts, rate card guidance and enriched data to speed up selection.

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“The brands getting the most out of creator marketing are the ones who can move quickly, brief well and manage relationships at scale, and that’s exactly what Nutcake is built to deliver. What makes Nutcake powerful is what’s behind it: a connected ecosystem of brands and creators, years of proprietary data and a platform that has already delivered campaigns for some of the biggest brands in the market,” said Tim Mitchell, CEO at CreatorOS. “Nutcake is the agentic layer that makes all of that work harder and faster, for the people running campaigns day-to-day. When it writes a brief, identifies a creator or keeps a campaign on track, it’s drawing on something real. That’s what sets it apart.”

Nutcake is free to access for brands and agencies. The platform is designed to scale with the demands of modern marketing teams, whether managing a single creator relationship or running multiple campaigns simultaneously across a roster of partners.

Nutcake is an AI-powered creator marketing platform that helps brands and agencies manage influencer and creator campaigns end-to-end.

The platform automates creator workflows including strategy, creator discovery, campaign briefs, outreach, contracts, content approvals, delivery tracking and creator payments. Built on CreatorOS, Nutcake acts as an operating layer for creator marketing teams, helping social, influencer and agency teams run campaigns faster with less manual admin.

The platform enables brands to discover relevant creators, manage multiple partnerships at scale, automatically generate contracts, deliver campaign briefs, streamline content feedback and approvals, and handle payments – all in one place.

Built for modern marketing teams, the platform simplifies the operational complexity of influencer marketing, enabling brands to run campaigns more efficiently while giving creators a clearer, more professional experience when working with brands.

It is designed as a two-sided platform, serving creators with free tools and services to help them monetise their profiles more effectively while also providing access to professional support across pitching ideas to brands, contracting, pricing strategy and content measurement.

The company works in partnership with leading creative agencies in London, including Saatchi & Saatchi, Leo Burnett, Lucky Generals and BBH, helping them build authentic partnerships and deliver measurable results through creator-led marketing.

Founded in 2020 by Tim Mitchell and Will Cookson, initially known as CreatorOS, Nutcake has supported campaigns for global brands including Three, EE, McDonald’s, Crocs, Subway, Channel 4 and Samsung.

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Kyzuvex Officially Launches AI Virtual Livestream Commerce Ecosystem, Enhancing Global One-Stop B2B and Supply Chain Services

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prweb
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Kyzuvex Officially Launches AI Virtual Livestream Commerce Ecosystem, Enhancing Global One-Stop B2B and Supply Chain Services

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Kyzuvex, a U.S.-based global commerce technology platform, officially launches its AI Virtual Livestream Commerce Ecosystem. Backed by over 10 years of supply chain expertise and annual sales exceeding USD 5 billion, the company provides one-stop cross-border e-commerce, B2B, supply chain, and AI-powered business solutions worldwide.

Kyzuvex, a global technology-driven commerce platform, today officially announced the launch of its AI Virtual Livestream Commerce Ecosystem for the worldwide market. This milestone marks Kyzuvex’s transition from a long-established supply chain innovator to a global leader in digital commerce and artificial intelligence-powered business solutions.

For more than a decade, Kyzuvex has focused on integrating global supply chain resources, supporting cross-border trade, and developing advanced digital commerce technologies. Guided by a long-term vision, the company has continuously invested in supply chain infrastructure, international logistics networks, global supplier partnerships, and AI technology development.

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Today, Kyzuvex serves businesses and partners across multiple countries and regions, creating a comprehensive business ecosystem that connects suppliers, brands, traders, distributors, and end consumers through a seamless one-stop platform.

AI Virtual Livestream Commerce Now Available Worldwide

As digital commerce continues to evolve, Kyzuvex is introducing an innovative AI Virtual Livestream Commerce solution that brings advanced artificial intelligence directly into global e-commerce and marketing operations.

The platform enables brands and merchants to deploy AI-powered virtual hosts capable of presenting products, engaging audiences, delivering multilingual content, and driving automated sales conversions around the clock. This breakthrough significantly reduces the limitations and costs associated with traditional livestreaming models.

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Key features include:

  • AI-powered virtual livestream hosts
  • Real-time multilingual livestream capabilities
  • Automated product demonstrations and recommendations
  • 24/7 continuous livestream operations
  • Intelligent customer interaction and Q&A
  • Global cross-border e-commerce support
  • Integrated supply chain and fulfillment connectivity
  • AI-driven analytics and sales optimization

By combining artificial intelligence with global commerce infrastructure, Kyzuvex helps businesses reduce operating costs, improve sales efficiency, and expand into international markets more effectively.

Over a Decade of Supply Chain Excellence

Before entering the public spotlight, Kyzuvex spent more than ten years building a strong foundation in the global supply chain industry.

The company has established an extensive network of manufacturers, suppliers, warehouses, logistics providers, and distribution partners worldwide. This infrastructure enables Kyzuvex to deliver end-to-end solutions covering sourcing, supply chain management, order fulfillment, and international logistics.

These long-term investments and industry expertise have become one of Kyzuvex’s strongest competitive advantages, allowing partners to improve operational efficiency while accessing broader global market opportunities.

Building a Global Commerce Ecosystem

Kyzuvex’s mission is to create a digital bridge connecting businesses and markets worldwide through technology innovation and commercial resource integration.

The company’s core business areas include:

  • Global Cross-Border E-Commerce Services
  • B2B Trade and Business Solutions
  • Global Supply Chain Integration
  • AI Virtual Livestream Commerce Solutions
  • Digital Commerce Infrastructure
  • International Market Expansion Services

By integrating technology and commercial resources, Kyzuvex provides businesses with a comprehensive one-stop solution designed to simplify international trade and accelerate global growth.

Growth and Future Vision

Kyzuvex has achieved annual sales exceeding USD 5 billion.

Looking ahead, the company will continue investing in artificial intelligence, automation technologies, and digital commerce infrastructure to further strengthen its AI ecosystem and global business network.

Kyzuvex believes that artificial intelligence is reshaping the future of global commerce. AI will not only become a key driver of business growth but also serve as a vital bridge connecting brands, supply chains, and consumers worldwide.

With the official launch of its AI Virtual Livestream Commerce Ecosystem, Kyzuvex remains committed to driving innovation and global business transformation while creating new growth opportunities for enterprises around the world.

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HelloNation CEO Bob Bartosiewicz Examines the Future of Expert-Driven Content Marketing in Community Media

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PRNewswire
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HelloNation CEO Bob Bartosiewicz Examines the Future of Expert-Driven Content Marketing in Community Media

HelloNation: Video & Community Insights | HelloNation

As traditional advertising loses ground, HelloNation’s edvertising model points toward a more credible and durable path for local professionals.

Where is content marketing heading, and what happens to the local professionals who have built their reputations on platforms that prioritize volume over credibility? HelloNation, America’s Good News Network, has been watching that question develop in real time, and Owner and CEO Bob Bartosiewicz has a clear point of view on where the answers are leading.

The content marketing landscape has changed significantly over the past decade. Paid placements, sponsored posts, and native advertising have proliferated to the point where readers have developed a reflexive skepticism toward anything that looks like it was produced to serve a commercial interest. At the same time, the collapse of local news operations has left communities without the trusted editorial voices they once relied on for practical, useful information.

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HelloNation was built at the intersection of those two trends. The platform’s edvertising model offers local professionals a way to participate in content marketing without surrendering the editorial credibility that makes their expertise worth reading about in the first place. The model treats journalism as the mechanism and trust as the outcome, rather than the other way around.

“The platforms that are going to matter in five years are the ones that figured out how to make content that readers actually want,” Bartosiewicz said. “That means editorial standards, real expertise, and a reason to come back.”

Bartosiewicz sees several forces converging that favor HelloNation’s approach. Search algorithms have grown more sophisticated in distinguishing between content produced for readers and content produced for rankings. Readers themselves have grown more selective, gravitating toward sources that consistently deliver useful information without the noise of promotional language or sensational framing. And the professionals who contribute to platforms like HelloNation are increasingly aware that a single well-crafted article can generate more meaningful engagement than a year’s worth of paid advertising.

The institutional dimension of that shift is visible in HelloNation’s partnerships with the U.S. Conference of Mayors and the United States First Responders Association. Civic organizations have little patience for media platforms that blur the line between editorial content and commercial promotion. Their willingness to partner with HelloNation reflects a broader recognition that expert-driven, community-focused journalism occupies a different and more durable category than conventional content marketing.

“The organizations that serve communities every day are not going to align themselves with a platform that cuts corners on editorial standards,” Bartosiewicz said. “The fact that they chose HelloNation tells you something about where this model stands.”

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

The future Bartosiewicz describes is one in which the distinction between credible journalism and promotional content becomes starker and more consequential for the professionals navigating it. Those who invest in genuine editorial relationships with platforms built around standards will accumulate trust over time. Those who continue to chase paid placements and keyword-stuffed content will find diminishing returns as readers and algorithms grow better at identifying the difference.

HelloNation’s growing talent and podcast network reflects that forward-looking posture. The platform is expanding its reach into audio and video formats, bringing the same editorial values that define its written content to new audiences and new distribution channels. That expansion positions HelloNation as a multi-format community media operation rather than a single-channel publishing platform.

The company is also deepening its civic presence in Rochester and beyond. As the headline sponsor of the Big Shooter Open on June 15, 2026, at Oak Hill Country Club, HelloNation is putting its community investment on display in concrete terms. The event benefits Golisano Children’s Hospital and is produced by The Shoot Big Project and SCN Hospitality.

“We are not just publishing about communities,” Bartosiewicz said. “We are part of them, and that is what the future of this kind of media looks like.”

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Bangladesh Performance Marketer Morshed Parvej Patwary Launches Meta Ads and Google Ads Consultancy for Global Clients

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MTS Staff Writer
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The Science of Digital Exposure: Why Continuous Programmatic Advertising is Redefining Modern Brand Familiarity

Bangladesh Performance Marketer Launches Meta Ads Consultancy for Global Remote Clients #MetaAds #GoogleAds #PerformanceMarketing

Md Morshed Parvej Patwary, a senior performance marketer with over six years of experience managing 1,300+ paid media campaigns, has formalized his independent consultancy under morshedpp.com, offering specialized Meta Ads, Google Ads, and conversion funnel services to businesses in Bangladesh and international remote clients worldwide.

The consultancy focuses on a gap that most businesses face: campaigns that generate clicks but fail to produce measurable revenue. Morshed’s approach combines technical tracking infrastructure – including GA4, Google Tag Manager, Meta Pixel, and Conversion API setup – with campaign strategy and landing page optimization to build performance marketing systems that connect ad spend directly to business outcomes.

Most businesses don’t lose money because ads don’t work. They lose money because they can’t see what is working.”

— Md Morshed Parvej Patwary, Performance Marketing Consultant

Services and Specializations

The consultancy offers three primary engagement models. The Growth Gap Audit is a focused diagnostic reviewing campaigns, tracking setup, funnel flow, and landing page performance to identify the highest-impact bottlenecks before scaling budget. The Performance Funnel Strategy engagement delivers full-funnel paid media strategy across Meta and Google Ads, built around conversion tracking and offer clarity. The Ongoing Growth Retainer provides continuous campaign management, optimization, and reporting for businesses that need a dedicated remote growth partner.

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Industries served include e-commerce, B2B, FMCG, real estate, hospitality, NGO, and edtech – with documented results including a D2C brand scaled to 4x+ ROAS on Meta Ads, and lead generation campaigns for international development organizations including Swisscontact and ILO Bangladesh.

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

Serving Bangladesh and the World

While based in Dhaka, the consultancy is structured for remote collaboration. International clients benefit from async-friendly communication, weekly performance reporting, and flexible retainer structures. Morshed currently also serves as Assistant Manager of Digital Marketing at Enroute International Ltd, where he leads performance campaigns across Meta, Google, and programmatic channels.

“Most businesses don’t lose money because ads don’t work,” said Morshed. “They lose money because they can’t see what is working. My job is to fix that visibility – in tracking, in funnels, in campaign decisions – so scaling becomes predictable.”

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NemoVideo Brings Viral Video Intelligence into the Editing Workflow with Viral+ Studio

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NemoVideo Brings Viral Video Intelligence into the Editing Workflow with Viral+ Studio

Nemo Video

Viral+ Studio and Inspiration Center bring viral pattern analysis, hook generation, script inspiration, and AI Video Recreation into one workflow.

As short-form platforms increasingly reward videos that hold attention, creators are no longer competing on editing ability alone. The harder challenge is understanding why certain videos work — and turning those patterns into repeatable content. NemoVideo, a Pro AI Video Editing Agent, is addressing that challenge with Viral+ Studio and Inspiration Center, bringing viral video analysis, hook inspiration, and AI-powered editing execution into one conversational workflow.

Creators don’t fail because they can’t edit — they fail because they’re guessing at what will hold attention”

— Jin Li

“Creators don’t fail because they can’t edit — they fail because they’re guessing at what will hold attention,” said Jin Li, CEO of NemoVideo. “Viral+ Studio turns the manual process of studying high-performing videos into an executable workflow. It helps creators understand the pacing, hooks, and storytelling structures behind videos that work, then rebuild those patterns with their own footage instead of imitating trends by feel.”

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

Beyond Editing: Reverse-Engineering Success

For most creators, studying a high-performing video is still a manual process. They watch a viral clip, try to work out its hook, guess at its pacing and structure, then go back to their own footage and attempt to recreate the effect by feel — and the result rarely lands the same way. The bottleneck is no longer whether someone can edit; it is whether they can take what already works and rebuild it with their own material.

Viral+ Studio is designed to close that gap. It helps creators reverse-engineer the structural elements behind high-performing short-form videos — including opening hooks, pacing, scene rhythm, and storytelling structure — and apply those patterns to their own footage through AI Video Recreation. Rather than asking a creator to start from a blank timeline, the workflow analyzes a proven structure, maps it onto the creator’s clips, and produces a first draft built around patterns commonly found in successful short-form videos. From there, the creator refines it by talking to the agent — “tighten the opening,” “swap the hook,” “cut the silences” — instead of dragging clips by hand.

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

The Inspiration Center acts as the creative brain at the front of that workflow. It analyzes viral clips to surface trending topics, storytelling patterns, high-performing hook formats, and script ideas tailored to a creator’s niche — addressing creative block and weak openings before editing even begins. Instead of starting from a blank page, creators enter the process with a pattern-informed starting point based on what is already gaining traction.

The Viral+ Studio Workflow: From Insight to Instant Drafts

With Viral+ Studio, the path from raw input to a platform-ready draft breaks down into three steps:
1. Start with any input. Creators begin from material they already have — a reference video, a product link, a script, or a folder of raw clips.
2. Viral structure analysis and first draft. NemoVideo turns those inputs into a first draft shaped by high-performing short-form structures.
3. Smart automation refinement. Supporting automation rounds out the pass: SmartPick selects the strongest moments and trims filler, while Smart Caption and SmartAudio handle captions, voiceover, and music, so the output arrives closer to a platform-ready draft.

According to NemoVideo’s early user data, teams using its AI editing workflow have reduced marketing-video editing time by up to 85%, with some workflows turning multi-hour edits into 15- to 30-minute first drafts. The company says its platform supports more than 200 e-commerce brands and a creator network of over 1,000 users, with select e-commerce campaigns seeing ad engagement improvements of up to 40%.

The workflow is built for the people producing short-form video at volume:
– Solo creators turning a single idea or script into multiple TikTok, Reels, and YouTube Shorts drafts.
– E-commerce sellers generating product demos and UGC-style clips from a product link or raw footage.
– Content marketers adapting one product angle into several platform-native short videos.
– Affiliate creators building review and recommendation videos around hooks that hold attention.
– Freelance editors producing a first cut from a reference structure instead of a blank timeline.

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Z-TEXT LLC: First Blockchain Messenger to Publish Its Threat Model

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Z-TEXT LLC: First Blockchain Messenger to Publish Its Threat Model

Z-TEXT publishes full threat model and launches 7 ZEC bug bounty. First blockchain messenger with zero metadata and no phone number.

Z-TEXT LLC, developer of the Z-TEXT privacy application — a blockchain-based messenger built on the BitcoinZ network — is publishing its threat model and launching a paid bug bounty program, disclosing known security limitations ahead of its public release.

Z-TEXT was built with no venture capital and no compromise. Publishing our limitations publicly is how we earn trust. Security scrutiny is our fuel.”

— Eric Pierrot, Founder, Z-TEXT LLC

Z-TEXT is a 6-in-1 mobile application. It combines three tools — a shielded messenger, a password manager, and a crypto wallet — with three layers of privacy: zero metadata collection, zk-SNARKs zero-knowledge encryption, and post-quantum cryptographic protection. One single 24-word seed phrase generates and recovers everything. No phone number. No IP address. No central server. Ever. Messages are stored permanently on the BitcoinZ blockchain — eternal memory, at $0.00003 per message.

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

Privacy applications try to compete on features. Z-TEXT LLC is the first messenger to publish its full threat model at z-text.com/docs/security — June 2026. This public document lists exactly what Z-TEXT protects against — and its known limitations. Simultaneously, the company launched a paid bug bounty program, funding a 7 ZEC reward pool for security researchers — with up to 3 ZEC for a single critical discovery.

Z-TEXT applies two independent encryption layers to every message. The first layer uses zk-SNARKs shielded transactions on the BitcoinZ blockchain — hiding sender, receiver, amount, and content. The second layer applies AES-256-GCM contact key encryption. Both layers must be broken simultaneously to read a single message. Z-TEXT also implements ML-KEM-768 and ML-DSA-65 post-quantum cryptographic keys — designed to resist attacks from quantum computers.

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

Z-TEXT collects zero telemetry. No analytics. No crash reports. No phone number. No IP address. No server-side data storage. But your messages do not disappear. Your messages are stored permanently and immutably on the BitcoinZ blockchain — encrypted, invisible to the world, releasable only by your private keys. Forever.

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Tele-Town Hall, LLC Announces New Brand Focused on Non-Political Communications Solutions & Insights

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Tele-Town Hall, LLC Announces New Brand Focused on Non-Political Communications Solutions & Insights

Tele-Town Hall, LLC® Information

Tele-Town Hall is expanding their communications services and products to meet the needs of non-political clients through a new brand – TTH Communications.

The originator of the political tele-town hall is now further expanding their niche communications service and product offerings to meet the needs of non-political clients. As the holder of nine technology patents (with an additional patent pending), Tele-Town Hall, LLC has over two decades of experience connecting candidates and potential voters, elected officials with their constituents, and government agencies with those they service.

Over the years, the company has expanded their service offerings to include texting, advanced survey and polling capabilities, patch-throughs, and innovative solutions that utilize live call services at a fraction of the cost of a traditional live call center. These products and services have proven useful in several applications outside of politics, integrating seamlessly into organizations’ existing communication strategies and technologies to provide broader channel support, faster results, and greater adaptation of calls to action.

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

The new expanded suite of communications solutions will be offered under a new brand: TTH Communications, and will focus on delivering services to corporations, educational institutions, market research organizations, unions, associations, municipalities, nonprofits, and more. In addition, the company is focused on the application of artificial intelligence strategies to provide industry-leading insights into communications campaigns. The uses for these technologies and insights are broad; from helping a brand roll out a new loyalty campaign, getting real-time feedback on new benefits for members or employees, helping colleges and universities activate new, existing, or previous students, or even helping non-profits maximize their fundraising opportunities – the sky’s the limit with these new applications of TTH technology.

From real-time sentiment analysis to actionable strategies to improve your next communications, TTH is focused on becoming an industry leader in communication insights, with the products and services you need all under one roof – allowing you to efficiently maximize your communications budget. Imagine communications with your stakeholders as a journey: data is the fuel for your communications, the technology and platforms get to you to your destination, and the destination itself is the insights gained from the campaign to maximize your opportunities even further in the future.

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

“We are incredibly proud of our growth throughout the last two decades,” said Kristin Miller, CEO of Tele-Town Hall, LLC. “We’re excited to bring our industry-leading products and services to a broader base of customers. We’re well on our way to achieving our primary objective – to be a data-driven organization that not only executes communications strategies but utilizes advanced analytics to help you maximize your communications opportunities. TTH Communications is our first step in this strategic pivot for our organization, and we couldn’t be prouder of what the future will bring for our existing and new clients.”

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BFJ Digital Confirms Traditional SEO Fundamentals Pave the Way for Answer Engine Optimisation

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BFJ Digital Confirms Traditional SEO Fundamentals Pave the Way for Answer Engine Optimisation

BFJ Digital 合作伙伴简档

BFJ Digital, a full-stack digital marketing and data analytics agency, has released an industry framework detailing the structural evolution of organic search. The agency emphasises that while traditional Search Engine Optimisation (SEO) is not dead, its foundational technical principles are now acting as the mandatory infrastructure for Answer Engine Optimisation (AEO)—the process of securing brand visibility within AI-driven platforms, such as ChatGPT, Gemini, Perplexity, and Google AI Overviews.

The Evolution from Links to Direct Citations
The mechanics of user discovery are undergoing a profound structural shift. For decades, standard organic search strategies focused on achieving top rankings within the Search Engine Results Pages (SERPs). However, modern conversational interfaces function as answer engines rather than link directories. Instead of returning multiple pages for a user to browse, AI models synthesise information, deliver a singular comprehensive answer, and provide a single direct citation to their chosen primary source.

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

This change in platform behaviour fundamentally alters the corporate risk profile of organic traffic. If an organisation’s digital assets are not selected as the cited authority for a user query, a competitor captures the intent immediately. Data compiled across live tracking portfolios indicates that this shift does not make standard SEO obsolete; rather, it demands that existing technical setups be aggressively modernised to satisfy the rigorous data constraints of machine-learning models.

Leveraging Traditional Architecture for Machine Readability
According to BFJ Digital’s technical analysis, the transition to successful AEO is entirely dependent on the quality of a website’s underlying SEO health. Platforms driven by AI rely on highly structured data and clear contextual signals to assess credibility. Content that lacks clean code architecture or structural depth will simply be bypassed by AI indexing crawlers.

The integrated framework identifies several critical dimensions required to convert standard web content into an AI-ready asset:

○ Technical Schema Validation: Implementing precise microdata and structured schema markup is necessary to ensure AI agents can explicitly read, parse, and attribute website data.

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

○ Citation Architecture Reform: Content must be engineered to move beyond generic information by utilising direct-answer headers, bulleted definitions, and dense semantic structures that align with conversational multi-step queries.

○ Verification of Authority Signals: AI platforms prioritise domains that exhibit verified trust parameters, evaluating persistent brand mention patterns and clear signs of real-world expertise across third-party sources.

○ Measurement Calibration: Traditional keyword volume tracking must be replaced by visibility share assessments within the specific large language models utilised by a target demographic.

Advanced Technical Compliance Over Vanity Metrics
The transition toward AEO highlights a broader requirement for absolute technical precision across corporate digital assets. In an environment where answer engines minimise the standard click-through pathway, businesses can no longer rely on superficial content production or search tactics. The architectural capability to make data instantly digestible for machine logic has shifted from an advanced engineering project to a baseline operational requirement.

To preserve organic customer acquisition pipelines, enterprises must treat their web presences as definitive sources of truth structured specifically for automated consumption. Maintaining an online infrastructure that relies on outdated indexing patterns poses an immediate threat to market visibility and commercial sustainability.

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Truelist Launches Hosted MCP Server, Bringing Email Validation Directly Into AI Assistants Like Claude and Cursor

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Truelist Launches Hosted MCP Server, Bringing Email Validation Directly Into AI Assistants Like Claude and Cursor

Truelist’s new MCP server lets developers validate emails, manage batches, and explore their account from inside any AI assistant — no install, no API key.

Truelist announced the launch of its hosted MCP (Model Context Protocol) server, allowing developers to validate email addresses, manage validation batches, and explore their account directly from AI assistants such as Claude, Cursor, and VS Code Copilot.

The MCP server is available at https://api.truelist.io/mcp. Unlike traditional integrations, there is no package to install and no API key to copy. Users simply paste the URL into their AI assistant’s configuration, log in to Truelist once through their browser, and the connection is established until access is revoked.

“Our goal was to make email validation feel native to the way developers now work — inside a chat with their AI assistant,” the company said. New users can start free with 100 validations plus 10 enhanced credits, with no credit card required.

Once connected, users can ask their assistant natural-language questions such as whether a given address is real and deliverable, validate dozens of addresses from a CRM export, create named validation batches, or check which recent batch contains the most invalid emails.

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

The server exposes seven tools that the assistant selects automatically based on the request. These include check_account for reviewing the connected plan and credits, validate_email for single-address checks running Truelist’s full validation chain of syntax, MX, and SMTP checks, and validate_emails for validating up to 50 addresses in a single call. For larger lists, create_batch handles up to 10,000 addresses processed asynchronously, while list_batches, get_batch, and list_email_addresses help users review history and download annotated CSV results.

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

Configuration is straightforward across popular tools. Claude Desktop and Cursor users add a short JSON entry pointing to the MCP URL, Claude Code users can add the server with a single command, and VS Code Copilot users update their MCP settings file. On first use, the assistant opens a browser window to authorize Truelist via a secure OAuth handshake.

Validation results are returned with clear states — deliverable, invalid, risky, accept-all, or unknown — along with detailed sub-states to help teams keep their email lists clean and improve deliverability.

Connected assistants can be disconnected at any time by signing in to app.truelist.io and revoking the connection.

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Market Logic Network Helps Ecommerce Brands Prepare for Agentic Commerce and AI-Assisted Shopping

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Market Logic Network Helps Ecommerce Brands Prepare for Agentic Commerce and AI-Assisted Shopping

Company helps online stores strengthen product data, customer journeys, CRM automation, and digital infrastructure for the next stage of AI-powered ecommerce

Market Logic Network LLC, a business automation firm, announced new strategic support for ecommerce brands preparing for agentic commerce and AI-assisted shopping.

Agentic commerce will change how customers discover, compare, and buy products”

— Jordi Argomaniz, Co-founder of Market Logic Network

As AI-powered search, shopping assistants, recommendation engines, and conversational product discovery become more influential, ecommerce brands need more than attractive online stores. They need structured product information, clear category architecture, connected CRM systems, automated customer journeys, strong content, and reliable data that can support both human buyers and AI-assisted discovery.

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

Market Logic Network helps ecommerce businesses build the infrastructure required for this shift. The company supports online stores with website optimization, ecommerce automation, CRM integration, customer segmentation, product content improvement, email workflows, abandoned cart sequences, post-purchase communication, reporting dashboards, and AI-ready product discovery systems.

The company’s approach is built around a practical ecommerce challenge: many stores have products, traffic, and tools, but the systems around them are disconnected. Product pages may lack clear structure. Customer data may not flow into CRM. Email follow-up may be inconsistent. Reporting may not show where revenue is being lost. AI tools may not have enough structured context to support accurate product discovery.

Market Logic Network addresses these gaps by connecting ecommerce operations into a more complete growth system.

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

The company’s agentic commerce readiness services may include product page optimization, ecommerce CRM integration, AI-ready product descriptions, category content strategy, abandoned cart automation, customer lifecycle campaigns, product recommendation workflows, review and reputation systems, analytics configuration, and sales performance dashboards.

The objective is to help ecommerce brands prepare for a market where buying journeys may increasingly begin through AI-powered search, conversational assistants, product comparison tools, and automated recommendation environments.

With this service direction, Market Logic Network reinforces its role as a premium international partner for ecommerce brands looking to modernize their Online Store, improve customer journeys, and prepare for the future of AI-powered shopping.

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Trusted TV Launches Self-Service AI Studio to Create 30-Second TV Commercials

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prweb
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Trusted TV Launches Self-Service AI Studio to Create 30-Second TV Commercials

Trusted TV | LinkedIn

mobile-first tool lets any business produce streaming TV-ready 30-second commercials in a single session, complete with on-screen banner, branded end screen, music and voiceover.

Trusted TV announced the launch of its self-service AI video studio, a mobile-first tool that lets a business create a complete, broadcast-ready 30-second commercial entirely from a smartphone. The studio puts full creative control in the hands of the advertiser, generating a video complete with an on-screen banner, a branded end screen, and a built-in call to action, in a single guided session. Advertisers can watch the finished video before they pay anything. Trusted TV then helps clients run that commercial on Prime Video and across streaming TV.

Where producing a television commercial once required a script, a crew, and an editing suite, Trusted TV has compressed the entire process into a few taps. From a phone, the system drafts the storyboard, generates the video, adds the banner overlay, and closes on a branded end screen and call to action. Each element is composed to broadcast standards and ready to air. The result is a video studio that fits in the user’s pocket, designed for owners who want to create on their own schedule without booking talent or learning professional software.

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

The new studio extends Trusted TV’s fully managed on-ramp to streaming TV. Finished commercials run on Prime Video and other streaming TV platforms through Amazon DSP, appearing across premium, brand-safe streaming environments. Campaigns use Amazon audience segments for precise targeting across shows, times, and devices.

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

The launch reflects a growing appetite among local advertisers for the reach and credibility of streaming TV, without the historical friction of production timelines, editing software, and complex media buying.

Trusted TV is a spin-off developed by the team behind Preflect, and is available now. Businesses and agencies can learn more and create their first commercial at trustedtv.com.

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HeyMarvin Reveals 94% of Leaders Say Research Should Drive Decisions, but Only 27% Consistently Use It

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HeyMarvin Reveals 94% of Leaders Say Research Should Drive Decisions, but Only 27% Consistently Use It

The State of Modern Research 2026 identifies the “listening gap” driving a measurable divide between customer insight and business action

HeyMarvin, the AI-native customer insights platform, released The State of Modern Research 2026: Closing the Listening Gap, a new report based on a survey of 309 research professionals, leaders, and research consumers. The findings expose a contradiction many organizations face: companies are investing heavily in collecting customer feedback, but that feedback rarely plays a role in the decisions that count. HeyMarvin calls this the “listening gap.”

94% of respondents say their leadership believes research is important, but only 27% reference it in almost every major decision

The listening gap is the distance between leadership’s intention to use customer research and their organization’s ability to surface it when decisions happen. For most companies, that distance is wider than they realize, and it’s costing them.

“Companies spend billions trying to understand customer needs,” said Prayag Narula, CEO and co-founder of HeyMarvin. “Yet they’re still making their most important product and business decisions without the right insights. The fix is building infrastructure like AI systems and agents that make it easy for everyone in your organization to access information about customers’ needs and pain points.”

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

Key takeaways from the report

  • 94% of respondents say their leadership believes research is important, but only 27% reference it in almost every major decision
  • Organizations that actively centralize their research in an accessible insights repository reference research in major decisions at a rate 25 percentage points higher than those that don’t
  • 93% of research professionals are using AI, but those with an active repository see significant AI time savings at more than three times the rate of those without one (51% vs. 16%)

The work has scaled, but the infrastructure hasn’t

Teams ran nearly four research methods in the past 12 months across an average of more than six software tools. Yet fewer than half (48%) actively use an insights repository to centralize their findings, and only 35% run a primarily always-on research function. Top-down mandates to listen to customers have outpaced the structures organizations have built to deliver on them.

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

Leadership and practitioners are both right about the problem

The report shows 73% of leaders say reviewing existing research is a formal requirement before major decisions. Only 37% of individual contributors agree. Senior leaders cite fragmented systems; practitioners cite a culture where decisions move too fast for research to catch up. Only 30% of researchers say executive leadership regularly accesses customer insights, and that number falls to 16% for the engineering teams building the products customers use.

93% use AI, but most are leaving value on the table

Nearly every respondent is using or experimenting with AI, and 72% report saving 25% or more of their time on at least some tasks. But most reach for general-purpose tools rather than purpose-built research AI. The organizations with an active insights repository see significant AI time savings at more than three times the rate of those without one (51% vs. 16%), which means infrastructure and AI effectiveness rise and fall together.

Buying decisions don’t match team priorities

Ease of use for non-researchers ranks last in tool evaluation criteria, cited by just 25% of respondents. Cost leads at 44%. Directors, who hold the budget, are three times more likely than individual contributors to identify as gatekeepers of research access (36% vs. 12%). The people closest to the data want to democratize it, but the people with the authority to do so more often keep access closed. For companies that say customer understanding drives their strategy, that’s a significant contradiction.

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Cognizant announces ServiceNow partnership to accelerate scalable, operationalized AI governance at enterprise scale

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Cognizant announces ServiceNow partnership to accelerate scalable, operationalized AI governance at enterprise scale

Cognizant logo

New integration pairs ServiceNow’s visibility and governance with Cognizant’s agentic intelligence and control platform, providing a path to help enable the continuous application of responsible AI principles across the full AI lifecycle

Cognizant announced the integration of Cognizant Neuro® AI Trust with ServiceNow, enhancing one of the most widely adopted enterprise AI platforms with a continuous AI assurance infrastructure purpose-built for enterprise scale. The integration is designed to give organizations a single, interoperable environment in which AI governance is not only visible and managed but actively enforced through responsible AI agents operating across every stage of the AI lifecycle.

AI deployment is no longer the constraint. The constraint is trust: the ability to confidently demonstrate, at scale, that AI running inside regulated processes, customer-facing systems and core operations is aligned with its intended purpose and defined controls. Without that assurance layer, enterprises hesitate at the threshold of real transformation.

The integrated offering is designed to offer users a fundamental shift in how they manage and scale AI. Where teams once struggled with fragmented visibility, manual compliance and slow deployment cycles, they now stand to gain a unified, real-time view of every AI asset in operation, with governance and risk controls embedded directly into their workflows. The result is designed to support faster, more confident AI deployment, audit readiness and the ability to demonstrate measurable business value to leadership, regulators and customers.

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

The vision is one where, when AI systems fail or drift, organizations know immediately, respond automatically and can demonstrate they were operating responsibly, shifting AI from a source of operational and reputational risk into a trusted business capability.

“The market has solved AI access. What enterprises now need is the ability to operate AI responsibly at the scale and speed their businesses demand,” said Sriram Kumaresan, Global Head of Cloud and Infrastructure Services, Cognizant. “With this integration, customers gain not just a platform for visibility, but an active operating layer that helps organizations operationalize and monitor responsible AI behavior continuously as their systems learn, adapt and act.”

The ServiceNow AI Control Tower is designed to provide the unified governance and observability backbone, unifying strategy, controls and performance management across every AI system, agent and workflow. Cognizant Neuro AI Trust extends this foundation with real-time assurance across the full AI enterprise stack, deploying a library of responsible AI and Guardian agents that orchestrate dynamically to support the application of fairness, safety, security, transparency and compliance principles throughout AI development and operation. The platform is built for interoperability, extending governance across third-party agentic networks to support consistent enforcement regardless of where AI systems operate. Together, the integrated solution is designed to move enterprises from periodic compliance to more continuous, observable AI assurance.

“The agentic AI terrain is expanding quickly in scope and in business impact, and yet the visibility gap is palpable. AI Control Tower gives organizations a single command center to govern every model, every agent and AI asset, and their identities and associated permissions across the enterprise, not just inside ServiceNow,” said John Aisien, senior vice president and general manager, Central Product Management, Security & Risk at ServiceNow. “Together with Cognizant, we’re closing this gap: connecting deployment to accountability, through a unified approach to governance. With a comprehensive framework for discovering, monitoring, managing and scaling AI, organizations can accelerate innovation while maintaining trust and control across their operations.”

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

The integration is designed for the realities of regulated enterprise AI. Cognizant’s platform comes with a library of leading standards, regulatory frameworks1 and guardrails with pre-built compliance content designed to compress the time from policy to operational implementation. The combined offering supports a three-phase operating model: plan with clarity, onboard with governance and operate with confidence. For enterprises facing the persistent challenge of closing the distance between AI investment and measurable business outcomes, governance becomes a source of speed rather than friction.

“The hard part of AI governance was never writing the policy; it’s enforcing it as systems learn and act. Clients increasingly want that gap closed automatically and tied to business outcomes. The pairing of Cognizant Neuro AI Trust with the ServiceNow AI Control Tower reflects where enterprise AI governance is headed: from static oversight to continuous, execution-driven operations,” said Nitish Mittal, Partner at Everest Group.

The combined offering reflects Cognizant’s broader strategy as an AI builder: helping enterprises move from AI experimentation to production by ensuring AI in production stays accountable to the people, policies and regulators that depend on it. More details on Cognizant Neuro AI Trust’s control and intelligence layers are expected to be announced in the near future.

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Messagepoint Announces MARCIEAssist™, the First Agentic AI Capability to Automate the Work of Customer Communications Management

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Messagepoint Announces MARCIEAssist™, the First Agentic AI Capability to Automate the Work of Customer Communications Management

Messagepoint Logo

Messagepoint, a leading customer communications management (CCM) solutions provider, announced the launch of MARCIEAssist™, the first agentic AI capability that automates the work of customer communications management.

Messagepoint’s MARCIEAssist is the first agentic AI capability that automates the work of customer communications management (CCM).

With MARCIEAssist, Messagepoint is introducing a fundamentally new model for customer communications management (CCM)—one where users no longer need to manually execute complex tasks. Instead, users simply describe what they want to accomplish, and MARCIEAssist intelligently plans and executes supported actions across content, rules, data, and templates—while keeping users fully in control.

Organizations operating in regulated industries face increasing pressure to deliver accurate, compliant, and highly personalized communications across channels—yet CCM platforms still rely on manual processes that are time-consuming, complex, and dependent on specialized expertise. MARCIEAssist was specifically designed to address these challenges by leveraging agentic AI to do the heavy lifting of CCM work, dramatically reducing the time and effort required to manage communications.

The first release of MARCIEAssist supports three core functions in Messagepoint:

  • Automating key content operations such as creating, editing, and refactoring content objects
  • Providing insights into content, rules, and communications
  • Offering contextual guidance to help users complete work faster and more accurately

Powered by Messagepoint’s proprietary AI platform, the Messagepoint Automation, Rationalization and Content Intelligence Engine (MARCIE), MARCIEAssist operates responsibly within strict governance boundaries, ensuring that actions align with user roles, permissions, and defined system controls. The solution does not access sensitive customer data and does not execute actions outside of its approved use cases. MARCIEAssist also provides full visibility into all actions taken, including detailed audit trails and rollback capabilities, enabling organizations to move faster while maintaining complete control.

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

Unlike simple AI assistants that merely recommend steps to help generate content, MARCIEAssist introduces a new class of AI to the CCM market. Its agentic capabilities:

  • Understand user intent and seek clarification when needed
  • Plan how to complete the requested work
  • Execute supported actions within Messagepoint
  • Confirm, track and report results to the user

This shift—from assisting users to permissibly acting on their behalf—further enables organizations to accelerate content operations, reduce reliance on technical expertise, and simplify complex workflows.

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

“Messagepoint has been at the forefront of AI innovation in the CCM space,” said Kaspar Roos, Founder & CEO of Aspire CCS. “MARCIEAssist highlights how agentic AI is moving from concept to reality and how it can fundamentally transform the work of customer communications management. What stands out is Messagepoint’s purpose-built AI architecture for CCM, focused on solving the operational complexity of communications management rather than simply incorporating LLMs into existing solutions.”

“Agentic AI is about moving from AI that helps users do work, to AI that can actually do the work for them—safely, transparently, and under their control,” said Steve Biancaniello, CEO and co-founder of Messagepoint. “Messagepoint’s mission has always been to simplify and accelerate the management and workflow of these complex customer communications while ensuring accuracy and compliance. MARCIEAssist not only takes our mission to the next level but also represents the future of how organizations will manage these communications.”

Messagepoint has been at the forefront of AI innovation in the CCM space since introducing its AI-powered Content Intelligence platform in 2018, helping organizations rationalize, migrate, and optimize content. With the introduction of MARCIEAssist, the first agentic AI capability for CCM, Messagepoint continues to lead the industry in developing innovative solutions that maximize efficiency, simplify complexity, and ensure accuracy and compliance.

“Messagepoint built its differentiation on corpus-wide content intelligence, and MARCIEAssist is the logical next step: applying agentic AI to act across content, rules, data, and templates rather than only advise on them,” said Saurabh Raj, Principal Analyst of QKS Group. “What distinguishes this is the combination of agentic action with the governance, audit trails, and rollback that regulated industries require. It reflects where CCM is heading: AI that does the work, under the user’s control.”

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Bolder Apps Leads the AI-Native Wave of Mobile App Development with New AI Integrations

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PRNewswire
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AppTec Simplifies Device Provisioning for Hybrid Workforces with Mobile Device Management

Miami-based, AI-native agency Bolder Apps is leading the next wave of mobile app development by applying artificial intelligence across product design, engineering, and analysis on every active client build.

Bolder Apps is integrating artificial intelligence into its mobile app development services to cut development timelines and improve design, testing, and analysis.

The approach focuses on solving product and user challenges rather than adding features superficially.

This comes as advancements in AI model capabilities are changing how digital products are designed, built, and maintained. Improvements in model performance are compressing development timelines and enabling AI systems to support increasingly complex tasks, including code generation, analysis, and workflow automation.

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

Bolder Apps is applying AI across ongoing client builds and development cycles, with applications across three core areas of mobile development:

  • User experience design, including adaptive interfaces and personalization
  • Workflow optimization, through automation of repetitive engineering and testing tasks
  • Product intelligence, using AI-driven analysis to inform iteration and roadmap planning

“Most agencies are still treating AI as a feature to bolt onto a project. We treat it as the operating model,” said Andrew Abbey, Chief Marketing Officer at Bolder Apps. “Every Bolder build now forms with AI inside the loop, including design, code, QA, and analytics; and it’s changed what we can deliver in an 8-week or less sprint. The agencies that adapt their entire process around AI will win the next few years. The ones that don’t will likely become legacy vendors.”

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Abbey added that businesses should move beyond limited experimentation and begin applying AI within structured production environments, supported by leadership oversight and cross-functional collaboration.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

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