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Artemis Labs Launches WP Rank, an AI SEO Engine That Finds, Writes, and Publishes Content Inside WordPress

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VidAU Launches AI Marketing Agents Built on a Proprietary Marketing Execution Harness

WP Rank

New WordPress tool turns keyword research into published, search-optimized articles on autopilot, without leaving the dashboard

Artemis Labs Pte. Ltd. today announced the launch of WP Rank, an AI-powered SEO tool that runs inside WordPress and takes a site from keyword research to published, optimized articles automatically.

Most SEO tools do one half of the job. Keyword tools hand site owners a list of terms. AI writers produce drafts. The slow, expensive part, turning research into finished content that is structured, optimized, and actually published, still lands on the person running the site. WP Rank was built to close that gap.

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

WP Rank finds the keywords a site can realistically rank for by scoring each opportunity on winnability, using live search results and the strength of the sites already ranking, so users target the gaps instead of the giants. It then writes a full article informed by what is already ranking for that term, and applies on-page SEO without manual cleanup: structured data, an FAQ section, a table of contents, internal links to existing posts, and images with alt text.

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

Finished posts can be scheduled and published to WordPress automatically, one per day, on a content calendar that runs in the background. The tool also supports different target markets and content languages, so a site can research one country’s search results while publishing in the right regional English or another language.

Everything happens inside the WordPress dashboard the user already works in. There is no separate platform to learn, and WP Rank can run alongside existing SEO plugins.

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

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

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Transmit Selected for Google Ad Manager Technology Partner Program

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

BFJ Digital, a performance marketing and data analytics agency, has released a strategic industry analysis detailing the compounding commercial value of multi-environment programmatic advertising. The briefing highlights how cross-channel repetition and strategic digital exposure build subliminal brand familiarity, significantly reducing friction and lowering acquisition costs when a consumer enters a high-intent purchasing window.

Moving Beyond Direct-Response Tunnel Vision
A common structural misstep in digital media allocation is an exclusive reliance on direct-response channels, such as paid search auctions. While search advertising captures consumers who are actively looking to buy at that exact moment, it operates in a highly competitive environment where cost-per-click metrics consistently escalate. This approach ignores the vast majority of the consumer lifecycle, where purchasing decisions are subconsciously influenced long before a search query is ever typed.

Data compiled from automated media tracking indicates that transactional conversion rates increase substantially when a buyer has experienced passive, non-intrusive brand touchpoints over time. By utilising programmatic technology to deploy targeted placements across diverse digital environments—including premium editorial websites, BVOD (Broadcast Video on Demand), and digital billboards—brands establish a persistent baseline of familiarity. When the consumer’s need eventually becomes urgent, the choice of provider feels instinctual rather than accidental.

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

The Mechanics of High-Frequency, Multi-Channel Delivery
Achieving this level of market presence requires moving away from manual, siloed ad buying toward centralised programmatic ecosystems. Using advanced automated bidding algorithms, programmatic advertising evaluates billions of ad impressions in real time, matching specific audience demographics with highly relevant context.

The systemic orchestration of continuous digital exposure offers several critical operational advantages:

○ Frictionless Conversion Pathways: Pre-exposing a target audience to a brand’s visual identity and value proposition minimises scepticism, allowing later direct-response tactics to convert at a significantly higher rate.

○ Unified Frequency Capping: Managing media inventory across a single programmatic platform prevents audience fatigue by ensuring a user sees an ad an optimal number of times across different devices, rather than being over-saturated on a single network.

○ Contextual Relevancy at Scale: Bidding infrastructure places assets within digital environments that naturally align with the user’s current mindset, reinforcing brand authority without disrupting the digital experience.

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

Optimising Media Infrastructure for Long-Term Growth
This shift in deployment strategy reflects a growing need for greater data maturity and capital efficiency within Australian corporate marketing. As consumer journeys become longer and span multiple devices, relying on single-touchpoint attribution models presents an immediate financial risk. Modern enterprises must view media buying as a unified ecosystem where awareness and conversion tactics work in tandem to build sustainable market share.

For organisations operating in competitive environments, integrating automated programmatic frameworks is essential in protecting profit margins and building long-term brand equity. Maintaining an advertising setup that only triggers when a user is at the final point of purchase is no longer a sustainable strategy for local enterprises aiming to achieve market leadership.

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

Exemplifi Introduces Exemplifi Transit: A New Standard for Transit Agency Websites

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Exemplifi Introduces Exemplifi Transit: A New Standard for Transit Agency Websites

Purpose-built capabilities bring greater functionality, reliability, and ease of management to transit-focused web experiences

Exemplifi, a leading digital experience firm specializing in web design and development for public sector and transit organizations, today announced the launch of Exemplifi Transit — a suite of transit-specific capabilities built directly into the websites Exemplifi designs and builds for its clients.

For transit agencies, Exemplifi Transit means giving riders better access to the information they need, and giving agency teams the tools to manage that experience with confidence.”

— Vinod Pabba, CEO Exemplifi

Exemplifi Transit is not a standalone product. It is an evolution of Exemplifi’s core commitment to delivering feature-rich, robust, and highly manageable websites — purpose-engineered for the unique demands of public transit agencies.

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

A Natural Extensions of Websites Built for Transit
Transit agencies have long relied on generic web platforms that require heavy customization to support the real-time, rider-facing features their communities depend on. Exemplifi Transit changes that by embedding transit-native capabilities directly into the website build — enabling agencies to deliver more to riders while simplifying day-to-day content management for their teams.

Key capabilities enabled through Exemplifi Transit include:
• Real-time service alerts — agencies can author, push, and manage alerts directly through a streamlined interface, delivering timely information to riders via the website, SMS, or other channels
• Interactive trip planning and schedule tools — fully integrated with agency GTFS data for accurate, up-to-date rider experiences
• Rider-facing SMS notification subscription — allowing riders to opt in to personalized service updates directly from the agency website
• Faster feature deployment — standardized components reduce implementation time and minimize the risk of errors during updates
• Centralized content management — giving internal teams greater control and reducing reliance on outside technical support for routine updates

“Exemplifi Transit is a natural extension of what we have always done — building websites that work harder for the people who use them. For transit agencies, that means giving riders better access to the information they need, and giving agency teams the tools to manage that experience with confidence.”
— Vinod Pabba, CEO Exemplifi

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

“Exemplifi Transit represents our commitment to turning agency websites into powerful, rider-focused tools. By embedding transit-native features directly into the web experience, we make it easier for agencies to communicate, engage, and serve their communities more effectively.”
— Ashwin Thapliyal, VP Marketing Exemplifi

Proven in the Field
Exemplifi Transit is already operational across a number of transit agency websites managed by Exemplifi. These deployments have demonstrated measurable improvements in website performance, feature consistency, and the agency teams’ ability to keep rider-facing content current and accurate.
The platform continues to evolve, with a roadmap focused on deeper rider engagement tools and further enhancements to agency-side management capabilities.

A Website-First Approach to Transit Technology
Unlike data-centric transit technology platforms, Exemplifi Transit is grounded in the website — the primary digital touchpoint between a transit agency and the riders it serves. Every capability is designed to enhance what agencies can offer through their web presence, ensuring that the public-facing experience keeps pace with the operational complexity behind it.

Transit agencies interested in learning more about how Exemplifi Transit can strengthen their digital presence are encouraged to contact Exemplifi directly.

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

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

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Taboola Launches Ad Platform for AI Answer Engines, Conversational AI Offerings, Chatbots, and Virtual Assistants, Powered by the Monetization Behind DeeperDive, One of the Fastest-Growing AI Answer Engines

Synup Listing & Reputation Management Tools & API

Agencies can now generate on-brand social posts for every client location in minutes, pairing local content ideas with automatic visual generation inside the same platform they already use to manage local marketing.

Synup, a leader in agency-focused marketing technology, today announced the launch of its next-generation AI content assistant, a social media tool that writes post ideas and generates the matching visuals automatically. With the new assistant, marketing agencies and multi-location businesses can produce on-brand, location-specific social posts at scale, cutting the time it takes to keep every client account active and consistent.

Keeping social media active across dozens or hundreds of client locations has long been one of the least scalable parts of agency work. Most teams either recycle the same generic posts everywhere or spend hours tailoring content that few people ever notice. The new assistant closes that gap by handling both the idea and the image, so an agency can publish content that fits each local market and still keep the work manageable for a small team.

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

“Agencies have told us for years that social content is the work they most want to hand off, because it never ends and it rarely scales,” said Ashwin Ramesh, Founder and CEO of Synup. “Most AI writing tools stop at the caption and leave you to find an image somewhere else. We built an assistant that does both in one step, and does it with the local context that makes a post worth publishing. An agency can sit down, review a queue of finished posts for every client, approve the ones that fit, and move on. That is the kind of leverage that changes what a small team can take on.”

Why This Matters for Agencies

The marketing agency industry is valued at $18 billion annually, with over 50,000 agencies serving small businesses across the country. Social media management is one of the services clients ask for most, yet it is also one of the hardest to deliver profitably. Posting identical content everywhere feels lazy to clients, and producing something original for every location eats margins fast.

The AI content assistant is built for that exact tension. It generates post ideas grounded in each client’s business type, location, and brand, then produces the visual to match, so the output looks made for that market rather than stamped out by a template.

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

What Agencies Can Do With the AI Content Assistant

  • Generate the post and the picture together. The assistant writes the caption and creates a matching visual in one pass, so there is no hunting for stock images or jumping between separate tools to finish a single post.
  • Get ideas that fit the local market. Content suggestions are shaped by the client’s business type and location, which means a dental practice in Austin and a law firm in Boston do not end up with the same recycled post.
  • Keep every visual on brand. Layouts, colors, and fonts follow each client’s brand setup, so the content an agency ships under its own name looks the part every time.
  • Schedule and publish from one place. Finished posts queue up and go out on the usual platforms on the dates you pick, so nothing sits half-done in a drafts folder.
  • Work inside the social workflows you already run. The assistant lives within Synup’s existing social media management, so adding it does not mean rebuilding how your team operates.

“The visual piece is what makes this different,” said Roshan Agarkar, VP of Product at Synup. “Plenty of tools can draft a caption. Very few can hand you a finished, on-brand post that is ready to schedule. We wanted an agency to take a blank calendar and fill a full week of content for a client in a few minutes, and to trust that what comes out actually looks like that client. For teams managing hundreds of locations, that is the difference between social being a loss leader and social being a service they can grow.”

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Pega Redefines AI‑Driven Transformation with Solution Designer Initiative

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Pega Redefines AI‑Driven Transformation with Solution Designer Initiative

Pega logo

New program to expand Pega Blueprint AI success will help close the gap between business intent and execution

Pegasystems Inc., the enterprise AI software company for mission-critical work, at PegaWorld® announced the Pega Solution Designer Initiative, establishing a new generation of Solution Designers to overcome the biggest barrier to AI success: the gap between business intent and production-ready execution. Expanding the proven results of Pega’s Blueprint Delivered™ methodology, this initiative will scale Pega Blueprint AITM-led engagements by equipping Solution Designers with free credential-based training, hands‑on workshops, and a global community to deliver high‑impact outcomes.

Market context: Closing the gap between intent and execution
For years, enterprises have faced a costly gap between business ideas and technical execution, with design thinking, cross‑functional fluency, and production readiness split across disconnected roles, teams, and tools. This has resulted in misaligned expectations, rework, and slower time to value.

As delivery cycles compress and expectations rise, organizations must rethink how work gets done. Technology alone can’t close this gap; success requires skilled practitioners who can align stakeholders, guide discovery, translate ambition into outcomes, and turn AI-generated ideas into work teams can confidently build.

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

Preparing the next generation of enterprise leaders
The Pega Solution Designer Initiative offers a skills‑based program for any skill level, from business leaders and analysts to developers. Solution Designers lead discovery, capture business intent in Pega Blueprint AI (Pega’s design agent that transforms operational insights into agentic workflows), and produce build‑ready designs from the first conversation.

With more clarity upstream, Solution Designers pass blueprints to Solution Builders, Pega’s developer and architect community working in Pega Infinity StudioTM, a new intuitive app development environment announced today at PegaWorld that combines AI speed with enterprise class reliability and governance. Organizations can move beyond AI experimentation to sustainable transformation, improving speed and quality while closing the gap between business ambition and working software.

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

A sustained investment in people – not just technology
This initiative outlines a clear vision for enterprise transformation – where AI amplifies, not replaces, human capabilities – reflected in its three pillars:

  • Free, progressive credentials via Pega AcademyA skills‑based credentialing model validates proficiency in Pega Blueprint AI, the methodology, and the capabilities needed to guide AI‑driven transformation, replacing role‑based certifications with a framework aligned to project needs and clearer paths for practitioners and organizations.
  • Blueprint Delivery workshop series: In‑person workshops go beyond technical training to build core capabilities, from facilitation and stakeholder alignment to outcome‑driven execution. Organizations can request onsite workshops to bring needed Blueprint Delivery skills directly to their teams.
  • A thriving global community: The rapidly growing Pega Blueprint AI and App Design Expert Circle and its thousands of members provide an ongoing network of practitioners sharing knowledge, patterns, and expertise through peer conversations, blogs, videos, and webinars.

Reimaging how business works with AI
Pega Blueprint AI is transforming how enterprise software is designed and delivered, making rapid ideation, real-time collaboration, and AI-powered design core to every engagement. As it evolves, so will the delivery model.

Early Blueprint Delivered adopters show AI delivers the most value when paired with human judgment. Pega’s end‑to‑end Blueprint Delivered methodology turns AI‑powered designs into production‑ready applications with proven results for clients including 50% faster discovery and ideation, 80% of projects going live in 90 days or less, and 30% less rework after initial design.

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Pega Launches Customer Engagement Studio to Transform Marketing Operations with Agentic AI

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Pega Launches Customer Engagement Studio to Transform Marketing Operations with Agentic AI

Pega logo

New agent-powered workspace can take marketers from brief to live 1:1 campaign in minutes, without sacrificing control

Liberty Latin America Selects BTS as Exclusive A2P Messaging Managed Services Partner Across All Its Markets

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Liberty Latin America Selects BTS as Exclusive A2P Messaging Managed Services Partner Across All Its Markets

BTS Logo

BTS announced that it has been chosen as the exclusive provider of managed A2P SMS services for Liberty Latin America (LLA), supporting the company’s efforts to strengthen revenue protection, fraud mitigation, traffic intelligence, and operational visibility across its markets.

BTS has been selected by Liberty Latin America as its exclusive A2P managed services partner across 25 markets, strengthening fraud protection, traffic visibility, and A2P monetization.

The agreement reinforces LLA’s A2P messaging strategy throughout a broad regional footprint and establishes a coordinated operating model to improve control, visibility, and monetization of A2P traffic across its markets.

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

The partnership will support revenue maximization, stronger fraud protection and grey-route mitigation, enhanced real-time traffic visibility, operational reporting and analytics, revenue assurance, and 24x7x365 managed services support.

The agreement spans 25 markets and reflects a high level of operational trust in BTS’ ability to deliver consistent performance across diverse regulatory, technical, and commercial environments.

“This agreement gives us a stronger and more consistent operational framework for managing A2P messaging across our regional footprint,” said Arrigo Gardia, Senior Director Carrier Services, Liberty Latin America. “It builds on the trust and strong partnership we have developed with BTS over the past five years in international voice services, and allows us to extend that collaboration into A2P messaging with greater visibility, stronger protection, and a more effective monetization model.”

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

“We are proud to have been selected by Liberty Latin America for this important regional initiative,” said Ricardo Olloqui, President & Co-Founder of BTS. “Our role is to help ensure A2P messaging is managed with the right combination of protection, operational intelligence, analytics, and optimization so LLA can improve performance across markets and scale its A2P strategy with confidence.”

Exclusive A2P managed services are expected to become operational on July 1, 2026. Customers and ecosystem partners will receive additional guidance through official communications ahead of launch.

In addition to exclusive A2P managed services, the broader relationship also creates a framework for collaboration on outbound P2A SMS management and Open Gateway APIs managed services. These areas include onboarding, monitoring, analytics, governance, and operational support, while giving LLA flexibility as its API and authentication strategies continue to evolve.

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Apple accelerates app development with new intelligence frameworks and advanced tools

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Apple accelerates app development with new intelligence frameworks and advanced tools

Apple (India)

New APIs for integrating AI models and extended agentic coding in Xcode 27 provide developers with powerful new ways to build and refine their apps

Cursor Announces EMEA Office and Team Expansion to Meet Regional Demand

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Cursor Announces EMEA Office and Team Expansion to Meet Regional Demand

Cursor Logo

London headquarters will open this summer and grow to approximately 200 employees by year-end as EMEA becomes Cursor’s fastest-growing region

Cursor, the leading multi-model AI coding platform,  announced the establishment of dedicated teams to serve the EMEA region. The expansion responds to regional momentum, with EMEA revenue tripling quarter over quarter this year.

The Cursor EMEA team will support a rapidly expanding customer base that includes British Airways, BP, Deliveroo, Nokia, Sanofi and many other leading enterprises across the region. Cursor expects to grow its EMEA headcount to approximately 200 employees by the end of the year, hiring across go-to-market, engineering, customer success and operations.

“We’re incredibly excited to officially launch Cursor across EMEA and deepen our commitment to customers and partners throughout Europe. As the leading AI coding company, our goal is simple: be closer to the teams building the future and help enterprises accelerate their most strategic AI and software development initiatives,” said Ismail Elmas, SVP of EMEA for Cursor. “This launch covers all major European markets and reflects the growing demand we’re seeing from organizations ready to put AI at the center of how they build.”

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

As Cursor expands across EMEA, it is investing in regional specific capabilities to support the compliance needs of local enterprises. This is especially critical for organizations in highly regulated industries, where data locality, privacy, and regulatory compliance are essential to deploying AI tooling at scale.

“As a global leader in connectivity for the AI era, Nokia is building the datacenter, transport, mobile and fixed networks that connect billions of people worldwide,” said Pallavi Mahajan, Chief Technology and AI Officer, Nokia. “Empowering more than 20,000 engineers on Cursor was not just a productivity decision; it was a strategic decision about the kind of engineering organization we want to be. Our teams are directing AI agents across some of the world’s most complex codebases, helping Nokia move faster and operate more efficiently.”

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

Cursor’s growth reflects a broader shift in how engineering organizations adopt AI tooling. Enterprises across financial services, life sciences, energy, professional services, and consumer technology are turning to Cursor to boost developer productivity, reduce time-to-ship, and modernize their software development workflows.

“Adopting AI coding tools touches workflows, governance, and how teams actually deliver,” said Cameron Cronin, Global CTO, Salesforce Business Group, Accenture. “Our work with Cursor lets us bring that adoption to clients with the implementation and advisory support needed to make it stick, so enterprises can accelerate development without compromising on quality or control.”

Beyond the platform itself, Cursor is building the local teams and partner ecosystem that make adoption successful — people who understand regional markets and partners ready to support enterprises on the ground. It’s a long-term commitment to the organizations shaping the future of software in Europe.

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

BluIP and NiCE Deliver Enterprise-Wide Intelligence with Unified UCaaS + CCaaS Solution

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BluIP and NiCE Deliver Enterprise-Wide Intelligence with Unified UCaaS + CCaaS Solution

Integrated Cloud PBX and Contact Center Platform Extends AI, Analytics, and Operational Intelligence Across the Entire Organization

BluIP, a leading provider of AI-powered cloud communications, announced an expanded go-to-market partnership with NiCE to deliver a tightly integrated Unified Communications as a Service (UCaaS) and Contact Center as a Service (CCaaS) solution. The integration brings BluIP Cloud PBX solutions together with NiCE’s CX AI platform, CXone, enabling enterprises to modernize legacy telephony systems while unlocking enterprise-wide intelligence and extending AI, analytics, and operational visibility across the entire organization.

For existing NiCE CXone customers, the partnership creates a seamless path to replace outdated, on-premise phone systems with BluIP’s intelligent cloud solution that is natively aligned with their contact center environment.

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

Enterprise-Wide Intelligence and AI

With BluIP and NiCE, AI-powered capabilities now extend beyond traditional contact center boundaries. Centralized call recording and enterprise-wide analytics provide compliance visibility and coaching insights across back-office teams, clinical staff, administrative departments, and distributed locations.

AI-generated call summaries seamlessly transfer between CXone and BluIP Cloud PBX environments. When calls move from the contact center to another department, the receiving employee can review the AI summary before connecting. Mobile and desk phone users receive the summary as a whisper announcement, eliminating the need for customers to repeat information and significantly improving efficiency.

Extending CXone Value Beyond the Contact Center

Many enterprises have invested significantly in optimizing contact center performance, yet their broader enterprise phone systems often remain siloed, costly to maintain, and disconnected from analytics and compliance oversight.

Through BluIP’s UCaaS integration with NiCE CXone, organizations can:

  • Replace legacy systems with a modern Cloud PBX
  • Incorporate both UCaaS and CCaaS call recordings into CXone’s call recording ecosystem for AI analysis
  • Apply Quality Management and Interaction Analytics to all enterprise calls
  • Improve operational visibility through unified dashboards and presence management
  • Reduce operational costs and minimize outage risk with cloud-based architecture

“Guests, customers and patients interact with your entire organization — not just your contact center,” said Armen Martirosyan, CEO at BluIP. “By integrating our UCaaS solutions and NiCE CXone CCaaS at the carrier level, we enable enterprises to apply the same AI-driven oversight, compliance, and insight across every call.”

“At NiCE, we help organizations orchestrate smarter, more connected experiences with NiCE CXone at the core,” said Dan Belanger, President, NiCE Americas. “By integrating CXone’s AI-driven analytics and automation with BluIP’s carrier-grade UCaaS solutions, we’re extending intelligence beyond the contact center and across the enterprise — enabling seamless interactions, stronger compliance, and measurable business outcomes.”

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

Cloud Migration with Confidence

Organizations operating legacy systems often face rising maintenance costs, hardware refresh cycles, and business continuity risks. The BluIP and NiCE partnership provides a strategic migration path to secure, geographically redundant cloud infrastructure designed to reduce cost, improve reliability, and support long-term scalability.

For current NiCE CXone customers, BluIP UCaaS is more than a phone system upgrade — it is a natural extension of their existing investment, delivering enterprise-wide AI insights, improved compliance visibility, and a unified communications ecosystem designed to enhance both operational performance and customer experience.

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

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

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

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

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

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

The Gap Most Companies Fall Into

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

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

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

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

What This Looks Like in Practice

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

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

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

Short. Sharp. No guesswork.

AI-Driven MVP Development Services Built for the Real World

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

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

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

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

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

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

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

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

That clarity alone saves months.

Product Discovery Services That Actually De-Risk the Build

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

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

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

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

Why US Startups and Enterprises Are Choosing Bytes

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

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

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

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

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

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

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

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

Marketing Technology News: MarTech Interview with Stephen Howard-Sarin, MD of Retail Media, Americas @ Criteo

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

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

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

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

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

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

Cision Logo (PRNewsfoto/Cision Ltd.)

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

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

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

 

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

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

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

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Silverfort Integrates AI Agent Identity Control for Microsoft Copilot Studio

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Aembit Extends IAM for Agentic AI to Microsoft Copilot Studio

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

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

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

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

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

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Runtime enforcement at-the-moment of access

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

Silverfort’s runtime enforcement:

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

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

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One control plane for every agent

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

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

Strengthening AI security strategy for enterprises

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

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

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

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

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SalesCloser Launches Self-Serve Multimodal AI Website Agent, Expanding Its Platform Beyond Sales Teams to Any Business With a Website

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

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

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

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

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

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

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

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AppTec Simplifies Device Provisioning for Hybrid Workforces with Mobile Device Management

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AppTec Simplifies Device Provisioning for Hybrid Workforces with Mobile Device Management

APPTEC360°

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

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

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

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

Key Features and Benefits:

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

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

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

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

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

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

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

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

inbox monster logo

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

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

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

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

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

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

Inbox Monster Custom QA

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

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

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

Highspot Logo

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

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

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

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What sellers can now do with Highspot and OpenAI

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

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

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

Why this matters now

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

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

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

From Highspot’s CEO

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

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

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VidAU Launches AI Marketing Agents Built on a Proprietary Marketing Execution Harness

New Relic Corporate Communications Logo

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

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

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

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

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

Bringing enterprise-grade rigor to the AI coding phase

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

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

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

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

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

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

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

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

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

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

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

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AI Accelerates Shifts Toward Digital and Acquisition

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

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

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

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

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

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

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

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

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

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