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Motive Launches AI-Powered Motive Analytics to Transform How UK Teams Leverage Data, Turning Hours of Analysis Into Real-Time Insights in Seconds

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Motive Launches AI-Powered Motive Analytics to Transform How UK Teams Leverage Data, Turning Hours of Analysis Into Real-Time Insights in Seconds

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No more wasting hours combing through hard-to-read databases and reports—new AI-powered analytics solution designed to help teams gain instant insights so they can make better decisions faster

Includes a conversational AI for physical operations designed to instantly surface answers from the full range of operational data Motive brings together across the organisation

Motive, the AI platform for physical operations, launched Motive Analytics, an AI-powered analytics solution built directly into the Motive Dashboard that unifies data across safety, fuel, maintenance, telematics and more to help teams in the UK make faster, better decisions. By automating reports and centralising information, Motive Analytics can help reduce spreadsheets and manual analysis. Teams can quickly see where attention is needed, uncover trends early and take action that can improve safety, boost productivity and lower costs.

The solution also includes AI Answers, a conversational AI designed for physical operations. Like ChatGPT, it’s designed to understand natural language questions and instantly surface answers from the data Motive brings together across an organisation’s operations. Simply by asking questions in their own words—such as ‘Which drivers had the most idling time last week?’ or ‘What was our average vehicle downtime last month?’—teams can receive easy-to-understand answers and visualisations.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

Safety, operations and finance teams in the UK often struggle to gain a complete view of their operations because they rely on disconnected legacy tools that cannot keep pace with growing complexity or connect data across the business in real time. Critical insights are buried in spreadsheets, and by the time data analytics teams deliver reports, the data is often outdated. Teams don’t have the insights they need to quickly identify risks or opportunities and make fast decisions. Motive Analytics is designed to help solve this with a new integrated analytics experience that gives teams real-time answers—no coding required.

‘Across the UK, organisations are drowning in fleet data but starved of clarity,’ said Nyanya Joof, Regional VP of UK Markets at Motive. ‘AI-powered Motive Analytics is designed to bring all of an organisation’s key operational data into one easy-to-digest view so teams can move from reactive reporting to proactive decision-making that can improve safety and protect margins.’

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Motive Analytics is designed to help UK teams:

  • See issues and opportunities instantly: Build and customise real‑time dashboards and reports instantly using AI. Smart filters give teams an immediate view of fleet performance and trends without spreadsheets.
  • Gain real-time answers with AI Answers, a conversational AI: Ask questions in natural language and instantly receive insights and visualisations from operational data across safety, fuel efficiency, maintenance and more.
  • Address the right problems faster: Drill into specific vehicle, driver, route or event issues to uncover root causes and take targeted action that improves safety and efficiency.
  • Make faster, data‑driven decisions without relying on a data analytics team: Relying on data analytics teams to analyse data and build reports can slow decision-making. By the time teams receive the information they need, the data is often outdated. With flexible formulas and custom reports, teams can now find the information they need on their own so they can make better, faster decisions.
  • Connect performance to cost and safety outcomes: Executive‑ready reporting links operational data directly to financial impact, helping teams identify savings, reduce risk and improve margins.
  • Align safety and operations with one source of truth: Schedule, export and share dashboards across teams to streamline collaboration and eliminate duplicate reports.

From fleet safety to fuel efficiency to tracking and telematics, Motive Analytics can help safety and operations teams quickly see what’s happening and take action right away. Learn more about the Motive platform and how it can help UK teams reduce fleet costs, improve safety and optimise performance.

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The Promptists Launches as Specialist Marketplace for AI Prompt Artistry with Community of More Than 3,000 Practitioners

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MTS Staff Writer
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Kanil PRwire Launches Dedicated PR Distribution Services for Indian Startups and D2C Brands Seeking Global Media Visibility

The Promptists Launches as Specialist Marketplace for AI Prompt Artistry with Community of More Than 3,000 Practitioners - The Des Moines Register

New platform offers a focused alternative to general freelancer marketplaces for clients commissioning AI-generated visual and video work

The Promptists, a specialist marketplace connecting clients with freelance AI prompt artists, publicly launched following a period of invite-only community building. The platform, available at thepromptists.com, has now registered more than 3,000 practitioners with The Promptists Guild, its community of professional AI creatives working with image and video generation tools.

AI prompt artistry has grown into a real creative discipline in under two years, but until now there hasn’t been a dedicated place for clients to find and work with specialist practitioners.”

— Andries Ohneisser

The Promptists is positioned as a focused alternative to general freelancer marketplaces for the emerging creative discipline of AI prompt artistry: the craft of producing visual and video assets using generative AI tools. Rather than serving every category of freelance work, the platform focuses exclusively on connecting clients with practitioners who are masters with the huge range of AI generative tools now available.

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

AI prompt artistry has grown into a recognised professional discipline in under two years, as technology has matured to the point where skilled practitioners can produce broadcast-ready and print-ready commercial work. The Promptists Guild brings these practitioners together in a single community, giving clients a dedicated place to find and commission work from people who specialise in the craft.

“AI prompt artistry has grown into a real creative discipline in under two years, but until now there hasn’t been a dedicated place for clients to find and work with specialist practitioners,” said Andries Ohneisser, founder of The Promptists and one of the most widely followed voices in the AI creative community, with more than 500,000 followers across Instagram and TikTok where he posts as @ohneis652. “General freelancer platforms weren’t built for this kind of work. We wanted to create a space where clients can commission AI creative work from people who genuinely understand the tools, and where practitioners can be recognised for their rare and specialist skills.”

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

Ohneisser added: “We’re completely focused on quality rather than quantity. Briefs on The Promptists aren’t public postings that anyone can bid on. When a client posts a brief, the platform surfaces a small number of practitioners whose experience, style, and rates fit what the client is looking for, and the client invites them to propose. That protects everyone’s time. We admit practitioners to active client work as demand builds, because talented creatives shouldn’t be chasing briefs they were never going to win, and clients have better things to do than trawl through hundreds of applications that don’t match their needs.”

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PhotoShelter Launches Content Derivatives to Help Marketing Teams Adapt Content Across Channels, Eliminate Workflow Bottlenecks

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prweb
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Robutler Launches Unified Infrastructure Platform for AI Agent Commerce

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New capability helps teams turn one asset into channel-ready content without manual workflows.

PhotoShelter, the leading digital asset management (DAM) platform for brands, announced the launch of Content Derivatives, a new capability designed to help marketing and creative teams quickly adapt image assets for every channel without leaving their DAM.

As content demands grow, marketing teams face increasing pressure to produce and distribute assets across more platforms. But preparing content for each channel is still largely manual, requiring teams to download assets, edit them in separate tools, and re-upload multiple versions. The result is a patchwork of tools that are difficult to manage and prone to duplication and inconsistency.

According to new PhotoShelter research, despite the 70% of marketers using AI in their content workflows, manual processes like image adaption, internal reviews and approvals are still slowing teams down.

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

“Teams are constantly turning one asset into five, ten or even hundreds versions just to meet different channel requirements,” said Christina Kyriazi, Chief Marketing Officer at PhotoShelter. “Most of that work still happens manually, which slows teams down and creates unnecessary versions to manage. Now, teams can create those formats without adding more steps.”

Content Derivatives enables teams to create cropped, resized, and reformatted versions of image assets directly within PhotoShelter. Each derivative remains connected to its original file, allowing teams to maintain visibility, control, and consistency across every version.

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

With Content Derivatives, teams can:

  • Crop, resize, and reformat image assets directly within PhotoShelter to create channel-ready versions — no downloading or external editing required
  • Keep every version connected to the original file for better visibility, control, and consistency
  • Save and apply custom presets for common formats across web, social, email, and more
  • Automatically update derivatives when the source asset changes
  • Host assets across the web for omnichannel distribution right from PhotoShelter

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VisiGEO Establishes Industry Framework for Brand Visibility in the Age of AI-Driven Search

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VisiGEO Establishes Industry Framework for Brand Visibility in the Age of AI-Driven Search

VisiGEO introduces a structured approach to Generative Engine Optimization (GEO), helping brands improve how they are interpreted, represented, and recommended across AI-driven search environments.

As generative AI fundamentally shifts the information landscape, VisiGEO has announced the launch of its comprehensive Generative Engine Optimization (GEO) suite. The platform provides a standardized, one-stop solution for brands seeking to maintain visibility within large language models (LLMs) and AI-driven answer engines.

Generative Engine Optimization (GEO) refers to the process of structuring and distributing content so that it can be accurately interpreted and recommended by AI systems.

1. The Shift from SEO to GEO

In an era where AI systems provide direct answers rather than a list of links, traditional SEO metrics are becoming secondary to what can be described as “brand citability”—the likelihood of a brand being referenced or included in AI-generated answers.

VisiGEO addresses this shift by focusing on how LLMs process, interpret, and recommend corporate information.

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

“The goal now is to ensure AI models not only pick up your brand, but accurately represent your value proposition in their generated responses,” says the VisiGEO product team.

2. Making AI Visibility Measurable

Unlike traditional SEO tools that focus on rankings and keywords, VisiGEO is designed around how large language models actually process information. At its core, it helps brands answer three practical questions:

  • “How do AI systems interpret my brand?”
  • “Why is my brand not being recommended in AI-generated answers?”
  • “What specific actions can improve my visibility?”

VisiGEO also focuses on a less obvious but critical issue: whether a website can actually be “read” properly by AI systems. While many corporate sites look polished to human users, they often lack the structure and clarity that large models rely on, which can lead to brand information being misunderstood or ignored.

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

Through its Website GEO Audit, VisiGEO surfaces both technical and structural issues that get in the way. This includes practical problems such as AI crawlers being unintentionally blocked, as well as deeper issues like unclear content hierarchy or missing structured data.

3. Improving How Content Is Interpreted

One feature that stands out is the LLMs.txt Generator. In simple terms, VisiGEO gives brands a cleaner way to present their key content to AI crawlers—reducing unnecessary noise and highlighting what matters most. While relatively simple in concept, it can make a noticeable difference in how consistently a brand is picked up and represented.

Content is another area where VisiGEO takes a practical approach. Its GEO Content Creator supports both new content generation and the refinement of existing materials, making them easier for AI systems to process and reuse.

Beyond a brand’s own website, VisiGEO also addresses where that content should go. Because in reality, AI systems don’t rely on a single source—they pull from a wide range of platforms. The platform therefore guides users toward places that are more likely to be picked up by large models, such as forums, Q&A sites, developer communities, and established media channels. For many teams, this helps close the gap between “creating content” and actually getting it seen.

As AI continues to reshape how information is surfaced, VisiGEO is already gaining traction among forward-looking brands looking to stay ahead of the curve. With more teams beginning to adopt GEO as a core part of their digital strategy, VisiGEO is quickly positioning itself not just as a tool, but as a leading solution in this emerging category.

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Synamedia unveils AI by Quortex, a just-in-time AI-plugin framework for video workflows

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Synamedia unveils AI by Quortex, a just-in-time AI-plugin framework for video workflows

At The 2026 NAB Show, Synamedia, will demonstrate AI by Quortex, a new set of just-in-time AI-capabilities for its Quortex portfolio. AI by Quortex identifies opportunities to create value and activates capabilities “just-in-time” to support specific workflows, events, or other business needs, saving unnecessary spend and resources for video processing, distribution and delivery. This approach challenges the traditional model of always-on AI processing by applying intelligence only when it delivers measurable value.

Synamedia provides real-time intelligence and processing at scale, leveraging Amazon Web Services (AWS), including Amazon Bedrock and AWS Elastic Fabric Adapter (EFA). The Quortex smart sampling technology dramatically improves the efficiency of live video understanding by identifying the moments that matter — before invoking foundation models through Amazon Bedrock.

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Rather than continuously processing fixed frame batches, AI by Quortex triggers AI only when meaningful changes or events are detected in the video or audio stream. This just-in-time approach can reduce live video understanding costs by up to ten times, while powering applications including content moderation, clipping, metadata enrichment, and enhanced searchability. In parallel, AWS EFA enables AI-based region-of-interest detection without impacting video processing instances, improving visual quality in critical areas while optimizing bitrate efficiency.

These AI by Quortex innovations are categorized within three pillars: Content Understanding, Real-time Processing, and Operational Simplicity. Each pillar includes both Synamedia’s technology and tools from its best-of-breed partner network:

  • Content Understanding comprises plugins that transform video into intelligent assets by automating chapters and highlights, enhancing discoverability, and enriching metadata. In real-time, Six Floor Solutions generates the metadata tags required for deep content understanding along with live automatic clipping and highlights. AWS powers the metadata enrichment and content detection capabilities, with Amazon Bedrock enabling advanced AI-driven content understanding and automated tagging.
  • Real-time Processing tools improve video quality, enhance accessibility, and enable real-time enhancements such as captioning, translation, and content adaptation by applying intelligence directly into the video workflows. Third-party tools such as Lingopal for AI-generated, accurate real-time translating and dubbing for livestream and VOD, and Yuzzit for live clipping and automatic content verticalization are prominently featured within this pillar.
  • And Operational Simplicity capabilities reduce complexity with AI-assisted deployment such as natural language workflow configurations or automated report generation, proactive monitoring, and guided operational insights.

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“The difference between AI hype and real-world use cases comes down to measurable value creation,” said Gwendal Simon, Senior Director of Technology, Video Network, Synamedia. “AI by Quortex is a natural extension of our ‘just-in-time’ philosophy that eliminates the traditional wasteful approach of constantly using resources when the real value is only achieved at specific points in time. These new innovations pinpoint exactly when AI is needed across video distribution, processing and delivery – eliminating waste and enabling more impact.”

Synamedia’s Quortex portfolio comprises: Quortex Link, a pay-as-you-use, self-service multi-tenant SaaS distribution platform; Quortex PowerVu, a secure, cloud-native video distribution solution; Quortex Play, a just-in-time, direct-to-consumer streaming platform; and Quortex Switch, the industry’s first standards-based CDN switching solution for enhanced multi-CDN management.

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Caylent Acquires Pronetx to Deliver AWS Native Customer Engagement and Agentic CX

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Caylent Acquires Pronetx to Deliver AWS Native Customer Engagement and Agentic CX

Caylent and Pronetx combine to deliver integrated AWS expertise to modernize, operate, and continuously evolve customer experience — from legacy platform to intelligent system

Caylent, an Amazon Web Services (AWS) Premier Tier Services Partner, announced it has acquired Pronetx, a customer experience transformation firm with deep specialization in Amazon Connect and AWS native omnichannel solutions. With this acquisition, Caylent extends its AI-first services into customer experience, offering organizations a single AWS partner to design, migrate, operate, and continuously evolve their customer experience systems on AWS.

“The intelligent enterprise is not complete until customer experience catches up. The Pronetx team has focused on solving exactly that problem for some of the most demanding organizations in the world,” said Valerie Henderson, CEO of Caylent. “Bringing their team into Caylent means we can now extend our AI-first services into the customer-facing layer and deliver the full picture on AWS.”

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

Customer Experience’s AI-Native Era

As enterprises move away from layered point solutions and legacy contact center platforms, they seek a partner capable of delivering more than migration. They need a partner that can design intelligent customer engagement systems, embedding AI directly into workflows, and operating them at scale.

Pronetx has been closely aligned with AWS since Amazon Connect launched in 2017. The company has supported some of the largest and most complex Amazon Connect deployments in the market, serving Fortune 25 enterprises, federal agencies, and public sector organizations. Its work spans the full customer engagement lifecycle, from migration and modernization to ongoing optimization and innovation.

“Customer experience is rapidly emerging as one of the most important AI use cases in the enterprise, and Amazon Connect sits at the intersection of cloud, data, and generative AI,” said Pasquale DeMaio, Vice President of Amazon Connect at AWS. “As organizations work to transform customer interactions into lasting relationships, it’s exciting to see Caylent and Pronetx combining to help customers accelerate that transformation.”

That includes major programs such as a federal agency migration of 5,000 agents handling more than 350,000 daily calls, completed in under 60 days with zero downtime, as well as the modernization of DC 311, supporting nearly 4,000 agents with a more intelligent, flexible service model.

“I spent years at AWS, helping build Amazon Connect from the ground up. I saw firsthand what this technology could do for organizations, and I knew most of them were not getting close to that potential,” said Yasser El-Haggan, Founder and CEO, Pronetx. “That is why we built Pronetx. Joining Caylent gives us the delivery engine and the AWS depth to bring that vision to scale.”

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

Advancing Caylent’s Vision of AI-First Services

With the acquisition of Pronetx, Caylent now delivers the full intelligent enterprise stack on AWS, from infrastructure and applications to managed operations and the customer engagement layer where AI meets the end user. What sets this combination apart is how Caylent’s AWS experts deliver. Agentic capabilities are embedded across every phase of customer engagement, with engineers accountable for outcomes from day one.

  • Extending Caylent Accelerate™ to Contact Center Transformation. Caylent Accelerate, the company’s AI-native delivery engine, now spans contact center modernization. An agentic migration framework programmatically assesses existing contact center environments on AWS, mapping call flows, testing routing logic, and identifying modernization requirements, compressing migrations that traditionally span months into weeks. The same model driving 50–75% time savings across cloud migration and application transformation engagements now applies to customer engagement.
  • Intelligent Customer Engagement on Amazon Connect. Beyond migration, Caylent and Pronetx enable organizations to deploy agentic customer engagement capabilities built natively on Amazon Connect. Purpose-built AI agents operate with full customer context, surfacing history, case data, and interaction intelligence in real time, functioning autonomously or alongside human agents. Organizations move from reactive, queue-based service to proactive, personalized engagement at enterprise scale.
  • Integrated CX and Agentic Managed Services. Pronetx’s CxPortal, which extends Amazon Connect with multi-region management, advanced configuration control, and real-time operational intelligence, will be integrated with Caylent’s agentic managed services platform. Organizations gain a unified operational view across customer engagement and broader AWS operations, with continuous optimization built in and Caylent engineers driving improvement over time.

“Working with Pronetx has been an exceptional experience. They are true experts in what they do, and they approach every engagement as a real partner,” said Marc Jennings, CIO – Analytics, AI & Customer, TUI Group. “We are excited to see what becomes possible with the full capabilities of Caylent behind them as we continue to evolve how we serve our colleagues and customers.”

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AgentDynamics Announces Data Integration With Cox Automotive’s VinSolutions, Benefiting Dealer Customers

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AgentDynamics Announces Data Integration With Cox Automotive’s VinSolutions, Benefiting Dealer Customers

AgentDynamics, an AI-native Business Development Center (BDC) platform for automotive dealerships, announces a two-way API integration with Cox Automotive’s VinSolutions, the leading provider of dealership CRM and lead management software. This integration delivers real-time data access and streamlined workflows for mutual dealer customers of both companies.

AgentDynamics’ AI voice, SMS, and email agents now connect directly with VinSolutions Connect CRM, enabling dealers to automatically surface live customer history, open opportunities, and lead data during every interaction, without switching between systems or re-entering data. Every AI-led interaction, from lead qualification to appointment setting, is captured in real time and synced back to the CRM, eliminating data errors and saving dealership staff hours of administrative work each week.

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

“Most AI tools in automotive work around the CRM. We work inside it,” said Yogesh Darji, Founder & CEO of AgentDynamics. “Our VinSolutions integration means dealers get an AI agent that knows exactly who’s calling, what they’ve looked at, and what they’re looking for, in real time. That’s what turns a conversation into a conversion.”

The integration also gives dealers greater visibility into customer intent before a human salesperson picks up the phone. By connecting AI-driven engagement directly to the dealer’s primary workflow, AgentDynamics helps teams respond to leads faster, book more appointments, and scale their BDC operations without adding headcount.

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

AgentDynamics holds certified integrations with CDK Global and VinSolutions, with additional DMS and CRM platforms available.

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Therap Services Introduces AI Summary Tool to Support AI-Powered Documentation Insights

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Therap Services Introduces AI Summary Tool to Support AI-Powered Documentation Insights

Therap Services, the national leader in HIPAA-compliant electronic documentation solutions for organizations in Long-Term Services and Supports (LTSS), Home and Community-Based Services (HCBS), and other human services industries, has introduced the AI Summary module to support AI-assisted data summarization across key documentation areas.

AI-Powered Summarization across Modules
The AI Summary module enables users to generate concise summaries using artificial intelligence for Case Notes, ISP Data, and T-Logs. This helps agencies quickly review large volumes of documentation and extract meaningful insights.

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

Role-Based Access and Custom Prompt Assignment for Users
Super Admins can choose which users have the ability to create, view, and delete AI Summaries. Super Admins can also configure the summarization experience by assigning specific prompts to users from the Admin tab. Users will only be able to generate summaries using the prompts assigned to them, ensuring consistency and control over AI-generated outputs.

Generated Summary with Built-In Disclaimer
After processing, the system generates a summary section within the report. Each summary includes a disclaimer noting that the content is AI-generated and should be reviewed for accuracy.

Search, Share, and Feedback Options
Users can search previously generated summaries. Completed reports can be shared via SComm, deleted if necessary, and reviewed through a built-in feedback option to help improve the feature.

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

Enhanced Activity Tracking
New activity tracking options have been added, allowing agencies to monitor actions related to prompt assignment and summary report usage.

Why This Matters for Providers
The LLM Summary Report module helps agencies:

  • Quickly review large volumes of documentation
  • Improve efficiency in reporting and oversight
  • Support informed decision-making

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AppTweak Launches First Platform to Measure and Optimize App Discovery in AI Search

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AppTweak Launches First Platform to Measure and Optimize App Discovery in AI Search

AppTweak, the leading app marketing and intelligence platform, announced the launch of AI Visibility for Apps, the first and only solution on the market today built specifically for apps to track and improve discovery in AI search.

As AI-powered search engines like ChatGPT increasingly shape how users research and find products and content, app marketers are beginning to see AI-driven traffic appear in App Store analytics. While still emerging, this channel is highly intent-driven, with users often ready to download.

“Just as the App Store redefined how users find apps, AI search is now reshaping that journey upstream,” said Olivier Verdin, Co-CEO and Co-Founder of AppTweak. “As this new channel emerges, marketers have had little visibility into how their apps are recommended. With AI Visibility for Apps, they can now see when their app shows up and compete more effectively.”

Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio

AI Visibility for Apps helps marketers measure how often their app appears in AI-generated recommendations and understand the intents driving discovery. This capability is currently focused on ChatGPT in the U.S., with expansion planned as AI search continues to evolve.

AI Visibility for Apps enables marketers to:

  • Understand if and how often their app is recommended by AI, compared to competitors
  • Identify the user intents driving those recommendations
  • Spot gaps where their app is absent from high-value prompts
  • Monitor changes in AI recommendations and report on this emerging growth channel

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

Unlike web-based AI visibility tools built around domains and websites, AppTweak is the first solution to map AI recommendations to mobile apps. AppTweak’s proprietary technology is built on a deep understanding of the app market and reveals the user intents and competitive dynamics that shape app discovery.

As AI-driven discovery accelerates, early movers will gain a critical advantage in shaping how their apps are discovered and chosen. AI Visibility for Apps provides the visibility needed to act on this shift.

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How Newsletter Advertising Has Quietly Become One of the Most Reliable Growth Channels

By
Phil Reich
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How Newsletter Advertising Has Quietly Become One of the Most Reliable Growth Channels

For years, newsletter advertising sat on the edges of most media plans. It was seen as niche, hard to scale, and overly dependent on relationships.

But all that’s changed in the last year. After reviewing the latest Newsletter Ad Performance Report—compiled after a review of millions of dollars in spend and insights from more than 1,500 advertisers—it’s clear that newsletter advertising has crossed an important threshold. It’s no longer a test channel. It’s now an operating channel, and marketers are beginning to treat it that way.

What stands out most isn’t any single metric, but rather the consistency of outcomes across advertisers, publishers, and categories. In a market where volatility has become the norm, newsletters are doing something increasingly rare: delivering predictable results.

The Performance Shift No One Can Ignore

The data shows a 30% year-over-year increase in newsletter revenue and a 40% increase in total newsletter ad campaigns, alongside an 80% expansion in reachable subscriber pools. Those numbers by themselves matter, but what matters more is what they collectively signal.

They suggest that advertisers moved beyond experimenting to scaling, something that only happens once a channel proves it can deliver repeatable performance, rather than just one-off wins.

In parallel, rebooking intent grew more than 50% year over year. That’s a leading indicator of trust. Marketers don’t rebook because something “worked once.” They rebook because they understand why it worked and believe it will work again.

That’s the difference between performance marketing and performance confidence.

Why Newsletters Fit the Moment

The resurgence of newsletters isn’t happening in a vacuum. It’s a direct response to structural shifts across digital media.

Audiences are tired of interruptions. Platforms are less transparent. Targeting is more constrained. And performance marketers are under pressure to show real outcomes instead of modeled assumptions.

Newsletters offer a rare combination: direct access to an opted-in audience, delivered in a predictable format, with minimal signal loss. There’s no feed or algorithm to fight. No scrolling competition. No ambiguity about whether the message was actually seen.

That simplicity turns out to be a competitive advantage.

What the Best Ads Are Doing Differently

Advertiser surveys from high-performing placements reveal one of the report’s strongest insights. The patterns across the best ads are remarkably consistent.

Short copy wins. It’s about being clear, not clever. Top-rated ads get to the value immediately, often in the first line. They use formatting that respects how people actually read emails: bullets, bolding, links, and white space.

Native presentation matters. The best-performing ads don’t feel like ads. They feel like part of the newsletter experience. When creative blends naturally into the surrounding content, engagement follows.

And clarity beats persuasion. High-intent CTAs like signups and downloads outperform more aggressive asks. Inboxes are not places for heavy lifting. They’re places for momentum.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

Alignment Is the Real Targeting Advantage

Advertiser satisfaction tracks closely with audience fit, yet many overlook it.

Newsletters with the highest rebooking rates share a few traits. Predictable performance, clean layouts, and strong alignment between advertiser and reader. That last point is doing more work than it gets credit for.

In newsletters, relevance must be explicit. Readers choose what they subscribe to. When advertisers show up in environments where the audience expectation is already aligned, performance becomes less about targeting tricks and more about message fit.

That’s why categories like tech, AI, productivity, and professional content consistently score high. It’s all due to clarity of intent.

Why Native Email Ads Are Scaling Fast

Advertisers are increasingly seeking the effectiveness of newsletter advertising without the associated difficulties, as evidenced by the significant growth of native email ad networks. Over 80% year-over-year in unique reach for some.

Historically, newsletter buying required manual outreach, negotiation, and fragmented reporting. That operational drag limited scale. As infrastructure has improved, the channel’s inherent strengths are finally able to surface at volume.

This is the same evolution we’ve seen in every major media category. Performance comes first, then tooling catches up.

What This Means for 2026 Planning

As budgets get tighter and scrutiny increases, marketers are gravitating toward channels that answer three questions clearly:

  • Did it reach the right people?
  • Did it drive action?
  • Can we do it again?

Newsletter advertising increasingly answers yes to all three.

That doesn’t mean it replaces other channels. But it does mean it deserves a more permanent seat at the table, especially for brands focused on efficiency, credibility, and sustained engagement.

The takeaway isn’t that newsletters are new. It’s that they’re finally being used the way they were always meant to be used: as trusted environments where value is exchanged, not interrupted.

In a digital landscape obsessed with novelty, email’s old-school reliability is starting to look like real innovation.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

Agentic AI Goes Mainstream in the Enterprise, but 94% Raise Concern About Sprawl, OutSystems Research Finds

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Business Wire
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Agentic AI Goes Mainstream in the Enterprise, but 94% Raise Concern About Sprawl, OutSystems Research Finds

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New State of AI Development 2026 report shows how enterprises are exploring agentic AI, while navigating governance and security concerns

OutSystems, a leading AI development platform, released its global 2026 State of AI Development report, revealing that enterprises have moved decisively from AI experimentation to execution. Nearly every organization surveyed, 96%, is already using AI agents in some capacity, and 97% are exploring system-wide agentic AI strategies. The findings signal a clear shift from pilots to production as businesses embed AI into mission-critical operations.

However, as adoption accelerates, governance is struggling to keep pace. According to the report, 94% of organizations report concern that AI sprawl is increasing complexity, technical debt, and security risk. Still, only a small fraction of enterprises have established a centralized approach to agentic AI governance, meaning most are using agents across fragmented environments.

“Our approach to working with OutSystems for an agentic solution was to start with a small, well-defined project that we felt like we could get into production, and that would actually have an impact on the business,” said Scott Finkle, VP of Technology, McConkey Auction Group. “Our main goal of the project was to build some muscle for building AI projects moving forward. OutSystems and Agent Workbench will pay great dividends to us as we iterate on our AI implementation.”

Agentic AI represents a significant evolution from earlier applications of AI, capable of autonomously executing workflows, making decisions, and adapting in real time. Gartner predicts that 40% of enterprise applications will include task-specific AI agents by the end of 2026, highlighting the speed at which autonomous systems are becoming embedded in enterprise software. According to the OutSystems report, which surveyed 1,900 global IT leaders, 49% describe their agentic AI capabilities as advanced or expert.

Adoption maturity varies by region, with many organizations in Australia, Brazil, Germany, the Netherlands, the UK, and the US reporting intermediate progress, while France remains earlier in its journey. Financial services and technology organizations report the highest levels of production deployment.

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The impact of agentic AI is most apparent within IT and software development, where time-to-value is easily measurable. Thirty-one percent of respondents say AI is already integral to their development practices, and another 42% have embedded AI into specific phases of the software development lifecycle. As agents prove value in development environments, 52% of organizations now rely on a human-on-the-loop model, allowing systems to operate with reduced direct oversight while maintaining supervisory control.

“The transition from AI experimentation to measurable business outcomes is no longer a future state—it is our current reality. The findings in the State of AI Development Report reveal a fundamental shift where building software and building AI systems have become one and the same,” said Woodson Martin, CEO at OutSystems. “As organizations move toward a ‘system of agents’ model, the challenge is no longer just about adoption, but about creating a stable architectural foundation that can coordinate these complex intelligent systems to drive real-world productivity.”

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Despite momentum, architectural fragmentation remains a challenge. Thirty-eight percent of organizations globally report mixing custom-built and pre-built agents, creating AI stacks that are difficult to standardize and secure. While 12% have implemented a centralized platform to manage sprawl, most enterprises are still experimenting with governance approaches that vary by team and region.

To help enterprises close the control gap, OutSystems recently introduced OutSystems Agentic Systems Engineering, a new open approach to AI development designed to help organizations build, manage, and evolve governed agentic systems for the enterprise.

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Clutch Report: 95% of Consumers Have Found Helpful Information in Online Communities as Brand Opportunity Grows

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Clutch Report: 95% of Consumers Have Found Helpful Information in Online Communities as Brand Opportunity Grows

Why Clutch.co is a Must-Have for Early-Stage Founders

Consumers rely on online communities for trusted peer advice, and brands that show up authentically have a major opportunity to build credibility.

New Clutch research finds that 95% of consumers who regularly participate in online communities have discovered helpful information in these spaces, making them a critical destination for brands. With half of regular users planning to increase their participation over the next year, the influence of online communities on purchase decisions is only growing.

Consumers Trust Peers More Than Brand Messaging

Nearly all consumers (98%) who participate in online communities trust product or service recommendations from community members. Sixty-four percent engage with these spaces daily, and participation is far from passive: 56% actively post and 35% actively comment, meaning peer-driven content constantly shapes purchasing decisions.

“Online communities have become one of the most powerful trust signals in the consumer journey,” said Anna Peck, Clutch Analyst. “Brands that understand how to show up in these spaces with genuine value (not just promotion) will have a real competitive advantage.”

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Authentic Brand Participation Is Expected

Consumers aren’t opposed to brands joining online communities. In fact, 95% believe authentic brand participation is important. Educational content (37%) is what consumers want most from brands, and 75% think brands should actively listen to and respond to community feedback.

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Social Media and Interest-Based Communities Lead the Way

Eighty-three percent of regular users participate in social media-based communities such as Reddit, Nextdoor, and LinkedIn. Meanwhile, 69% participate most often in interest-based communities, compared to just 14% in brand-led spaces, signaling that brands should meet audiences where they already are rather than building from scratch.

Promotional Content Remains the Biggest Pitfall

Consumers stay active in communities for valuable discussions (36%), but their biggest frustration is excessive promotional content (24%). Brands that lead with education and engage transparently are best positioned to build lasting trust.

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AppLovin Announces Succession Plans for Key Leadership Roles and New Independent Chairperson

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AppLovin Announces Succession Plans for Key Leadership Roles and New Independent Chairperson

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AppLovin Corporation (“AppLovin” or the “Company”), the leading marketing platform, announced succession plans relating to its executive management team and the appointment of Craig Billings as independent Chairperson of its Board of Directors (the “Board”).

“Craig has been a thoughtful and engaged leader since joining the Board,” Mr. Foroughi said. “I was pleased to recommend he become the Chairperson, allowing me to fully focus on strategic execution.”

The Company announced the following management succession plans:

  • Chief Technology Officer: Basil Shikin, AppLovin’s current Chief Technology Officer, will transition into the role of Distinguished Engineer, effective July 1, 2026, at which time Giovanni (“Gio”) Ge, the Company’s current Chief Product and Engineering Officer, will become AppLovin’s next Chief Technology Officer.
  • Chief Legal Officer: Victoria (“Tory”) Valenzuela, AppLovin’s current Chief Administrative & Legal Officer, will retire, effective August 1, 2026, and will be nominated for election as a director at the Company’s 2026 Annual Meeting of Stockholders. Upon Ms. Valenzuela’s retirement, Corina Cacovean, the Company’s current Deputy General Counsel, Privacy, Litigation & Regulatory, will become AppLovin’s next Chief Legal Officer.

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“Basil and Tory have been instrumental in AppLovin’s growth. Basil led development of much of our technology stack over the nearly 10 years he was CTO. In his new role, we’ll continue to benefit from his perspective as a builder and an innovator. Tory has been a valued business partner, helping guide the Company through its IPO and a period of rapid expansion, and we look forward to her presence and expertise in the boardroom,” said Adam Foroughi, Chief Executive Officer and Co-Founder. “We’re pleased to elevate their successors from within—Gio and Corina bring deep institutional knowledge and leadership, underscoring our commitment to talent development and thoughtful succession planning.”

The Company also announced the appointment of Craig Billings as independent Chairperson of the Board, building on his tenure as Lead Independent Director since the Company’s IPO. Adam Foroughi will continue to serve as Chief Executive Officer and a member of the Board.

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“Craig has been a thoughtful and engaged leader since joining the Board,” Mr. Foroughi said. “I was pleased to recommend he become the Chairperson, allowing me to fully focus on strategic execution.”

“The AppLovin Board is comprised of capable directors and I’m pleased to step into the Chairperson role,” Mr. Billings said. “Since first meeting Adam in 2013, as a customer of the Company, I’ve seen firsthand how AppLovin helps companies grow. I am confident Adam and the leadership team will continue to deliver long-term shareholder value.”

Mr. Ge has served as the Company’s Chief Product and Engineering Officer since November 2025, having previously served in various senior engineering roles since joining AppLovin in November 2022. Mr. Ge led the development of Axon 2.0 and currently runs the Company’s engineering and product teams, which creates a natural transition to the CTO role.

Ms. Cacovean has served as the Company’s Deputy General Counsel, Privacy, Litigation & Regulatory since September 2023 and has played key roles leading the privacy, litigation and regulatory teams since she joined AppLovin in connection with its acquisition of Machine Zone in 2020.

The Company also announced today that Alyssa Harvey Dawson will not be standing for re-election at the Company’s 2026 Annual Meeting of Stockholders. The Board thanks Ms. Harvey Dawson for her years of service as a director.

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Wishtree Technologies Announces Partnership with Databricks to Strengthen Data and AI Capabilities

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Wishtree Technologies Announces Partnership with Databricks to Strengthen Data and AI Capabilities

About Databricks: The data and AI company | Databricks

Helping enterprises unify fragmented data and build production-ready AI solutions on Databricks

Wishtree Technologies Inc., an AI-native product engineering services company, today announced a strategic partnership with Databricks, the data and AI company. This collaboration marks an important step in Wishtree’s continued commitment to enabling organizations to harness the full potential of their data.

Through this partnership, Wishtree Technologies is now recognized as an official Databricks partner, reinforcing its capabilities in modern data engineering, analytics, and AI-driven solutions. By leveraging the Databricks Data Intelligence Platform, Wishtree aims to help clients build scalable data pipelines, unify data and AI workloads, and accelerate time-to-insight.

This partnership directly supports Databricks and joint customers by providing access to a highly trained engineering team capable of supporting solution design, delivery, and ongoing platform adoption.

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For global enterprises across fintech, healthtech, adtech, supply chain, and HVACR, the promise of AI often gets stuck in the gap between platform investment and production deployment. Databricks provides the industry’s leading unified platform for data and AI.

A partnership built on real engineering
“This partnership reflects our focused investment in data and AI capabilities,” said Dilip Bagrecha, CEO and Founder of Wishtree Technologies. “Organizations today need reliable partners who can translate data into meaningful business outcomes. With Databricks, we are better positioned to deliver modern, scalable, and impactful data solutions to our clients.”

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As part of this engagement, Wishtree Technologies will work closely with Databricks to support customers across industries in:
– Building unified data platforms
– Modernizing data architectures
– Enabling advanced analytics and AI use cases
– Improving data governance and scalability

This milestone further strengthens Wishtree’s portfolio of technology partnerships and underscores its long-term vision to be a trusted engineering partner for data-led transformation.

What Wishtree brings to the Databricks ecosystem
The Wishtree team builds the critical components that sit between an enterprise’s operational systems and Databricks’ AI capabilities:
– Industry-specific data models for Unity Catalog. Wishtree has developed reusable data models for fintech transaction processing, healthtech claims and clinical data, adtech audience and measurement data, supply chain logistics, and HVACR service operations. These models land directly into Unity Catalog with full governance and lineage, giving customers a running start instead of a blank slate.

– Production-grade AI agents on Mosaic AI. Clean, governed data is the foundation. Wishtree takes it from there – building custom AI agents, predictive models, and intelligent automation that run natively on Databricks Mosaic AI. Customers get deployed AI features, instead of just proof-of-concept demos.
Real-time pipeline engineering for Delta Lake. For use cases that demand freshness – fraud detection, inventory optimization, personalized recommendations – Wishtree builds low-latency pipelines that stream live operational data directly into Delta Lake. This replaces fragile batch ETL with real-time ingestion.

– Governance and lineage strategy. Wishtree helps customers design and implement Unity Catalog governance models that scale across business units, geographies, and compliance regimes, without creating bottlenecks for data scientists and engineers.

From a recent Wishtree engagement
Wishtree recently engineered a digital procurement platform for a national restaurant supply chain. The client faced manual procurement processes and fragmented data across more than 10 source systems – including ERP platforms, vendor portals, and logistics systems. Wishtree unified these disparate sources into a single cloud-native architecture built on AWS, delivering real-time analytics, automated procurement workflows, and significant operational efficiency gains.

Under this partnership with Databricks, the same outcome would be built directly on the Databricks Data Intelligence Platform. Unity Catalog would provide unified governance across all data sources. Delta Lake would serve as the single source of truth for real-time procurement data. And Mosaic AI would power predictive inventory forecasting and automated supplier recommendations.

Who this partnership is for
This partnership delivers specific value to three types of organizations.

– Enterprises scaling AI from pilot to production. Many companies have Databricks and a handful of AI pilots. The challenge is moving to dozens or hundreds of production AI applications. Wishtree provides the engineering capacity, repeatable patterns, and governance expertise to scale.

– Companies with complex compliance and governance requirements. Fintech, healthtech, and adtech organizations face strict regulatory scrutiny. Wishtree helps design Unity Catalog governance models that satisfy auditors while keeping data accessible to the teams that need it.

– Organizations with deep investments in legacy systems. If your most valuable data lives in custom-built systems, legacy ERPs, or industry-specific platforms, standard ETL tools will not get you to AI-ready. Wishtree engineers custom pipelines and data models designed for your specific systems – no generic connectors, no one-size-fits-all approaches.

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Video Innovation Drives 2x Higher Purchase Intent, Study Finds

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Salient Systems Named 2026 Video Surveillance Platform of the Year by Enterprise Security Magazine

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As the video gap persists, this annual market study shows consumers are ready to reward brands that use personalized, AI-powered video and leave those that don’t.

A new study of 2,500 adults in the U.S. and U.K. reveals 80% of consumers want more video from brands, but nearly half (46%) say they never receive any video communications at all.

Demand for video in 2026 is again highest among Gen Z with a staggering 92% saying they want more video from businesses.

It’s a video gap that’s been documented consistently in the State of Video Technology report, now in its fifth year. The study also reveals consumers are 4x more likely to prefer a personalized video over a generic one and that this kind of advanced video content makes them 2x more likely to purchase from brands. Demand for video in 2026 is again highest among Gen Z with a staggering 92% saying they want more video from businesses (followed closely by millennials at 91%).

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Here are this year’s top takeaways:

  • The rewards (and risks) are high. The good news is consumers are 2x more likely to buy from brands that use advanced video tech like personalization and AI. The bad news? More than half (52%) would consider leaving a brand that fails to deliver.
  • Personalization is non-negotiable. Consumers are 4x more likely to want a personalized video than a generic one. When personalization is absent, 45% of consumers get frustrated and 52% feel the brand doesn’t respect their time.
  • Gen Z leads the charge. While 92% of Gen Z want more video from brands, 89% want it to be personalized. Continuing the trend from previous studies, high earners share similar preferences to their younger counterparts with 92% wanting more video and 91% wanting it to be personalized.
  • Advanced video fosters inclusion. Minority consumers overwhelmingly want next gen video from brands they do business with. This includes personalized video (87%), interactive video (88%) and AI video (84%). They’re also more likely to act on it – 58% would consider switching to a competitor that invests in advanced video communications.
  • AI video goes mainstream. 74% of consumers are now interested in receiving AI videos from brands, up from 65% last year, the largest single-year gain in the study. Businesses are ready to embrace AI video too: 88% of executives say access to an AI that can create videos in minutes would make them start or increase production.

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“Consumers aren’t just open to personalized AI video – they’re actively expecting it,” said Yotam Ben Ami, Idomoo CMO. “The biggest risk for companies right now is moving too slowly on video innovation. The data shows that consumers will reward the brands that invest in personalized, AI-powered video and quietly walk away from those that don’t.”

For more findings, including a deep dive on business adoption trends, AI avatars and channel strategy, download the full report. This market study was conducted by Atomik Research and commissioned by Idomoo in January 2026 with a statistically representative sample of the population, including 2,000 consumers and an additional 500 business owners.

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Accelerating Aum Growth with the Right Distibution Intelligence and Master Data Management (MDM) Solution

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Qualytics Launches Data Control Layer to Govern Context for AI Systems

Distribution Intelligence

Turn fragmented distribution data into a trusted foundation for sales and marketing execution and AUM growth

SalesFocus Solutions (SFS), a fintech leader servicing the asset management industry, announced its comprehensive Distribution Intelligence and Master Data Management (MDM) solution has been instrumental in providing a single, trusted source of data(“Golden Copy”) for its clients, empowering quicker, smarter sales and marketing decisions.

Anil Peggerla, VP and Chief Technology Officer said, “The MARS Distribution Intelligence and MDM solution turns fragmented data from transfer agents, financial intermediaries, NSCC, custodians, third-party data providers, and broker-dealers into Advisor and Advisor Team intelligence and provides a secure, centralized location for distribution data discovery, analytics, and transfer to in-house systems, such as a data warehouse.”

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The lack of accurate, timely, and centralized distribution data is a top barrier to AUM growth. MARS eliminates these barriers by delivering timely, reliable data with traceable data lineage. The MARS curated data provides linkages among distribution intelligence data points, including firms, offices/branches, reps, advisor teams, accounts, channels, territories, sales, assets, and products. MARS provides multi-product reporting across all product types, including model portfolios, mutual funds, ETFs, Managed Accounts, UCITs, UMAs, SICAVs, CITS, interval funds, DCIO/retirement, and alternative investment products.

Anil Ravindran, Vice President of Engineering, pointed out that, “The MARS Distribution Intelligence and MDM solution is perfectly tailored for the needs of asset management firms and provides benefits that many generic MDM solutions don’t typically provide, such as bi-directional integration with MARS for Salesforce® so the data in Salesforce® is always accurate, up to date – and trustworthy. MARS includes superior capabilities for rapid and detailed transactional-level and analytical sales reporting and is optimized for time-based sales metrics for trend analysis.”

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MARS also includes business-critical Distribution Intelligence features such as Advisor Team information, segmentation, lead scoring, cross-sell identification, and automated insights, which leverage behavioral and transaction data that typically fall outside the scope of a traditional MDM platform.

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Hoonartek Launches ClearView An Agentic Decision Layer That Activates the Data Estate and Replaces SaaS Bloat

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Hoonartek Launches ClearView An Agentic Decision Layer That Activates the Data Estate and Replaces SaaS Bloat

Hoonartek launched ClearView™, an agentic decisioning layer built for enterprises that have invested in modern data platforms but have yet to translate that investment into autonomous, business-driven execution.

Most large enterprises face a common challenge: a mature data estate—lakehouse, cloud warehouse, and years of engineering—combined with a growing stack of point SaaS products, each solving narrow decisions in isolation. The result is rising license costs, fragmented ownership, and AI that operates alongside the business rather than within it.

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Hoonartek’s ClearView™ is designed to change that equation. By treating business decisions as the primary unit of design, it deploys autonomous agents directly above the existing data estate—activating it for real-time decisions while systematically reducing reliance on fragmented SaaS tools.

“Enterprises have already built the data foundation. ClearView™ is what finally turns it on—agents that execute real business decisions, traceable from intent to outcome, without adding another SaaS layer.” 
— Peeyoosh Pandey, CEO, Hoonartek

This shift is resonating at the CFO and CDO level, where SaaS rationalization and AI activation are converging into a single strategic priority.

“The biggest gap in enterprise AI hasn’t been technology—it’s been the operating model for how decisions are made at scale. ClearView™ addresses that directly on top of existing infrastructure.” 
— Rupinder Bhamra, Former Corporate CTO, MSCI

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“Enterprises don’t fail at AI because of bad models. They fail because no one connected the data platform to decisions. ClearView™ closes that gap.” 
— Dejan Deklich, Former CTO, Aisera

ClearView™ operates across three layers: a decision governance layer defining agent authority; RealizeAI, Hoonartek’s AI factory for scaling ML use cases; and BlueFoundry, the execution engine translating business intent into governed agentic workflows. Every decision is traceable from definition to outcome—built-in, not bolted on.

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DXC Partners with ServiceNow on a New Wave of AI-first Enterprise Transformation

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DXC Partners with ServiceNow on a New Wave of AI-first Enterprise Transformation

  • DXC adopts ServiceNow’s Core Business Suite as Customer Zero, activating agentic AI across core business functions for a Global Business Services-led transformation

  • The partnership combines DXC’s transformation expertise with the ServiceNow AI Platform to power smarter, more resilient operations across the enterprise

  • DXC will enable customers to replicate these transformation outcomes at scale

DXC Technology, a leading enterprise technology and innovation partner, and ServiceNow, the AI control tower for business reinvention, announced a new, multi-year agreement to modernize core enterprise operations and put AI to work at scale. The partnership combines DXC’s enterprise optimization expertise with the ServiceNow AI Platform to move from AI experimentation to execution across complex, multivendor environments, while accelerating delivery timelines, reducing manual effort, and improving service quality across core business functions.

As Customer Zero for ServiceNow’s Core Business Suite, DXC will be the first global enterprise to deploy the new agentic AI capabilities for their Global Business Services model. DXC will work with ServiceNow across key functions using AI-driven automation and agentic workflows to reduce manual work, improve cross-functional visibility and streamline processes to enhance speed, consistency and quality. This approach creates a library of repeatable, validated AI use cases and proven automation patterns that DXC will package and deliver to customers globally, enabling similar transformational experiences with faster time-to-value.

DXC will leverage ServiceNow’s agentic AI capabilities to create a unified enterprise experience across critical business services globally. By embedding AI-driven workflows across the enterprise, DXC will automate high-volume processes, improve operational efficiency, and accelerate decision-making at scale. Digital agents can continuously monitor activity, surface real-time insights, and proactively resolve issues, reducing manual effort while enabling teams to focus more on analysis, innovation, and higher-value work.

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“Global enterprises are under real pressure to move from AI experimentation to execution — and that’s hard when your operations are complex and fragmented. DXC made the decision to go first. As Customer Zero for Core Business Suite, they’re deploying agentic AI across their own core business functions before bringing it to customers. That’s not just a partnership — that’s conviction. That’s exactly how transformation at scale actually happens.” – Josh Kahn, SVP and GM, Core Business Workflows, ServiceNow

Through the adoption of the Core Business Suite, DXC is adopting an advanced organizational Global Business Services model that consolidates historically siloed back-office functions into a centralized support structure that operates globally across regions and functions. The partnership positions DXC as an early validator of Core Business Suite’s AI-powered capabilities, scaling solutions internally before delivering them as market-ready client offerings.

“Putting ServiceNow’s Core Business Suite to work inside DXC allows us to prove what AI-powered operations look like in practice across complex, multivendor environments. With ServiceNow, we’re simplifying processes, reducing manual work, and delivering better experiences for our employees every day.  Importantly, that’s resulting in real business impact, freeing up capacity on our team and giving them the opportunity to focus on building what’s next with AI. That hands-on experience with agentic AI ensures we can bring customers solutions that are practical, scalable and built for real-world execution.” – Russell Jukes, Chief Digital Information Officer, DXC

This expanded collaboration builds on DXC’s 17‑year partnership with ServiceNow and deepens the work of their joint AI Innovation Center of Excellence (CoE), established in 2024 to accelerate AI‑driven business transformation. The CoE applies a proven AI blueprint methodology rooted in industrialized AI assets, accelerators and execution frameworks. Together, the two companies help customers accelerate agentic AI capabilities, optimize existing technology investments and address complex, multivendor operational challenges with governed, human‑centered AI. DXC’s teams of AI architects, automation engineers and adoption specialists work directly with customers to prioritize high‑impact use cases and deploy AI responsibly, reliably and at scale.

As an Elite ServiceNow Partner, DXC has delivered business innovation and AI-enabled ServiceNow solutions for customers globally. With more than 1,800 ServiceNow expert consultants, DXC helps customers around the world streamline AI adoption and maximize the value of their ServiceNow investments.

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Automation Anywhere Reports 61% of Q4 Software Bookings from AI as Enterprises Deploy Agentic AI to Run Core Business Functions

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Automation Anywhere Reports 61% of Q4 Software Bookings from AI as Enterprises Deploy Agentic AI to Run Core Business Functions

Double-digit non-GAAP ARR and RPO growth, coupled with 23% growth in $1M+ ARR customers reflect sustained enterprise investment in production‑scale AI

Automation Anywhere, the leading provider of Agentic Process Automation (APA) and agentic solutions, announced fourth-quarter results that reflect a shift in enterprise use of AI: moving from experimentation to deploying solutions that solve real business problems.

Automation Anywhere is uniquely positioned to support this shift with both pre-built, pre-validated solutions that deliver rapid time-to-value and a platform that enables enterprises to create custom solutions for competitive advantage.

AI-powered offerings accounted for 61% of software bookings in the fourth quarter, as enterprises increasingly demand solutions that deliver measurable business outcomes. The number of enterprise customers with more than $1 million in Annual Recurring Revenue (ARR) grew 23%, while the company expanded its agentic customer base by more than 2x, driven by forward deployed engineers converting AI pilots into scaled deployments.

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Automation Anywhere also reported strong topline growth, beat EBITDA guidance, and achieved its 10th consecutive quarter of non-GAAP profitability and free cash flow.

“Companies are moving past pilots and into production by leveraging AI solutions that give them fast time to value and a clear path to scaling their success,” said Mihir Shukla, CEO and Board Chairman of Automation Anywhere. “Using AI solutions, companies are deploying agentic automation by department — creating autonomous ITSM, autonomous finance, autonomous support — and starting a journey to become autonomous enterprises.”

Enterprise Growth & Market Validation

Automation Anywhere’s growth reflects sustained enterprise commitment to operationalizing AI at scale. Remaining Performance Operations (RPO) and ARR both grew at double-digit year-over-year rates, driven by broad, enterprise-wide adoption.

In the healthcare sector, a recent multi-million agreement for a national healthcare system supports AI-driven automation across patient data management, scheduling, and administrative workflows, enabling cost efficiencies while maintaining compliance in a highly regulated environment.

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Expanding AI Solutions Across the Enterprise

Automation Anywhere continues to see strong adoption of its AI-driven solutions across core business functions across core business functions, including customer service, IT service management (ITSM), finance, and HR.

The acquisition of Aisera expanded the company’s ability to deliver ready-to-use solutions for ITSM and customer support, enabling companies to resolve service requests and operational tasks autonomously while maintaining governance and compliance.

During the quarter, Automation Anywhere also announced a strategic collaboration with OpenAI to advance AI-driven solutions that execute complex business processes by combining Automation Anywhere’s unique data and insight into how work gets done with OpenAI’s latest reasoning models. These solutions can resolve issues, make decisions, and take action across systems within governed environments.

World Economic Forum Leadership

The shift of attention from AI experimentation to real-world deployment at the World Economic Forum in Davos also validated Automation Anywhere’s direction and drove significant engagement from business and governmental leaders. As an ICT governor at the World Economic Forum, Shukla helped shape that conversation, participating in multiple WEF-accredited and official panels on the agentic enterprise and the future of intelligent operations. Automation Anywhere also engaged directly with global business and media leaders, with coverage across outlets including The Wall Street Journal, Fortune, Axios, and Business Insider.

The company reinforced its commitment to responsible AI adoption through its ongoing reskilling initiatives, which aim to train two million individuals by 2030. The program has already reached more than 650,000 learners through free, accessible education.

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fullthrottle.ai® Expands Into Audio With Premium Inventory, Streamlined Activation, and Unified Measurement

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fullthrottle.ai® Expands Into Audio With Premium Inventory, Streamlined Activation, and Unified Measurement

Built into existing campaign workflows, teams can plan, activate, and optimize audio in conjunction with other channels, without added complexity or fragmentation.

fullthrottle.ai®, a pioneering innovator in first-party data media solutions and AdTech operating systems, announced expanded audio advertising capabilities within its platform. With this update, advertisers can activate audio campaigns across premium streaming, podcast, and digital audio environments through direct publisher relationships, bringing one of the most engaging and fast-growing channels into an easy to use, unified campaign workflow.

fullthrottle.ai expands into audio ads with premium inventory, unified workflow, and outcome-based measurement.

Through this expansion, brands can connect with audio audiences during high-attention moments throughout the day, from commutes to on-demand listening, creating a consistent and scalable opportunity to engage listeners across trusted, brand-safe environments. Campaigns are executed within the same platform and workflow used for CTV, display, and other channels, enabling a more efficient approach to media activation, measurement, and optimization.

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Marketers can now plan, launch, and optimize audio campaigns without incorporating separate tools or fragmented buying paths. This streamlined approach reduces operational complexity, accelerates time to activation, and allows teams to align audio seamlessly within broader omnichannel strategies, ensuring audio contributes directly to overall campaign impact.

Through access to first-, second-, and third-party audiences, fullthrottle.ai® enables advertisers to reach verified households across premium audio environments. With inventory spanning streaming and podcast platforms including industry leader iHeartMedia, brands can extend messaging into moments where consumers are actively tuned in, while maintaining transparency into where campaigns run and how they perform.

“Audio plays a critical role in how consumers engage with content throughout the day,” said Amol Waishampayan, co-founder at fullthrottle.ai®. “Through our collaboration with iHeartMedia and other leading publishers, we’re giving marketers a more efficient way to activate these campaigns, reach highly engaged audiences, and connect those efforts directly to broader, measurable business outcomes.”

Marketing Technology News: Programmatic Ad Platforms With Unique AdTech Features

Key Capabilities of Audio Activation via fullthrottle.ai® include:

  • Premium Publisher Access: Activate campaigns across trusted streaming and podcast environments through direct publisher partnerships.
  • Streamlined Activation: Launch campaigns quicky through a one workflow without the need for fragmented buying.
  • First-Party Audience Targeting: Reach first-party audiences at the household level using verified intent signals.
  • Outcome-Based Measurement: Connect media exposure to real business outcomes with SafeMatch® attribution.
  • Holistic Campaign Management: Execute and optimize audio alongside CTV, display, and other channels within a single platform.

The launch represents the first phase of fullthrottle.ai’s expanded audio strategy, with additional publisher partnerships and marketplace enhancements expected to be announced in the coming weeks.

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