Traditionally, in the world of business, the separation between “data intelligence” and “automated action” is often viewed as a huge impediment to the efficient running of organizations. Many companies have found themselves investing heavily in the analysis of their data using advanced tools, but have failed miserably when it comes to the automation of their tasks. However, UiPath, an industry leader in agentic business orchestration, partnered with Databricks, the Data and AI company, and pledged to introduce a new age of “intelligent business operations.”

Bridging the Gap Between AI Reasoning and Process Orchestration

UiPath was officially confirmed as a technology partner of Databricks by way of introducing customized integrations allowing the seamless connection between the two systems. The connection between UiPath’s process orchestration platform and Databricks’ data and AI intelligence allows for easy transition from data insights to automation without any need for brittle integrations.

The collaboration encompasses three key pillars:

Access to Real-Time Verified Data: UIPath’s AI agents have been enabled to access the trusted and real-time data from the data environment provided by Databricks, covering both structured and unstructured data like logs, databases, and documents. It ensures that automated business processes can be built on top of reliable data.

AI Orchestration Using UIPath Maestro: This orchestration platform serves as the control plane and enables orchestration of AI agents, bots, systems, and people throughout a complicated workflow process. It helps an organization leverage AI capabilities offered by Databricks by activating certain activities on its own basis through data insights.

Strict Governance: The collaboration comes with stringent controls over automated business operations and processes for compliance with various laws and regulations.

Also Read: The Global Bridge: Unlimitail and Skai Unlock Europe’s High-Intent Commerce Data

Impact on Marketing Automation

While this partnership affects many aspects of the organization, its impact on Marketing Automation could be quite profound. Marketing depends on rich data from various sources: customer sentiments and behavior, for instance, as well as cross-sell opportunities or churn patterns. Until now, the process from insights to action would take too long due to cumbersome processes and manual data export.

1. “Rule-Based” to “Agentic” Marketing Marketing automation has always relied on predetermined rules: If X, then Y. The new collaboration between UiPath and Databricks makes marketing “reasoning-based.” An AI solution residing in the former can recognize a pattern or cross-sell opportunity in real time. Right away, the latter can run a set of predefined actions autonomously: Update the CRM database, create a customized message, use an e-mail platform, and notify an account manager.

2. Mass Customization by Accessing Rich Data Sources Using access to both structured and unstructured data—like customer support logs or social sentiment-a marketer can add depth to automated campaigns. Instead of segmenting customers based on pre-existing criteria and rules, marketers will be able to leverage the power of deep insights about their audience in real time.

3. Applying AI in Marketing Operations Most AI in marketing efforts fail due to their inability to graduate from the “experiment” stage. This integration makes it possible for firms to apply their AI-based marketing campaigns in an operational manner. With UiPath Maestro overseeing these processes, marketers are able to keep track of how AI agents interact with consumer information.

Wider Implications in the Industry

Outside of marketing, the alliance brings revolutionary shifts in the approach towards operational efficiency:

Lessening of Technical Debt: There is no longer any need to create specific “bridges” to connect a data lake to automation software. The validated platform lets IT professionals focus on solving business issues instead of integration challenges.

Better Compliance and Auditing: In sectors such as finance or health care, being able to trace the path of the decision making process that was performed using an AI agent becomes crucial. Built-in governance creates an unprecedented standard in responsible AI implementation.

Business Results: By combining live data with business processes, companies will be able to measure the true business results of their AI efforts.

Conclusion

UiPath’s strategic partnership with Databricks is an important point of maturation in the corporate software world. By integrating Databricks’ huge amount of data intelligence with UiPath’s intelligent orchestration ability, the partnership solves what has been the “last mile” challenge that has long troubled digitization initiatives – i.e., acting on data in a fast and efficient enough way.

In the case of the marketing automation space, such integration would offer the technology framework needed to shift away from rigid, rules-based marketing to an agentic customer journey experience. In moving forward with AI integration in companies, it is not likely that those with better models will win, but rather those who can integrate these models well with their day-to-day business processes.

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ASAPP, the Customer Experience Platform (CXP) powering AI-driven customer service for the agentic enterprise, announced the launch of a system of purpose-built AI agents designed to run customer service end to end. This expansion significantly advances CXP’s capabilities, with natively integrated agents that simplify agent building, enable continuous self-learning, and surface actionable insights-delivering a complete agentic platform.

“The goal was never to build just a conversational agent. It was about delivering reliable AI-powered customer service at scale, end to end, in production,” said Priya Vijayarajendran, CEO of ASAPP. “What we’ve built is a true agentic platform-bringing multiple purpose-built agents together to handle every turn of complex, real enterprise customer service interactions.”

As AI agents take on a greater share of customer interactions, enterprises face a new operational challenge: not just deploying AI, but running it consistently in production. Organizations struggle to coordinate AI, workflows, and human judgment, ensure reliable policy execution, and maintain meaningful visibility into performance and outcomes. ASAPP‘s CXP, powered by a system of agents, is purpose-built to close that gap.

Also Read: Mocean Names Laura Likos Brand as President

“An AI agent proves its value not in a single brilliant response, but in its consistency across interactions – remaining accurate, safe, responsive, and protective of privacy at every turn,” added Vijayarajendran.

CXP consists of five agents, each addressing a distinct layer of the customer service:

• Discovery Agent: Understands the intent behind every interaction and how it is resolved, continuously identifying and enabling high-value automation opportunities.
• Developer Agent: A natural language, LLM-powered developer agent that builds high-quality generative agents from simple instructions.
• Simulation Agent: Stress-tests GenerativeAgent behavior against real-world scenarios and edge cases before deployment, ensuring production-ready resilience without the need for human fallback.
• Insights Agent: Mines CXP’s context graph—unifying interactions, context, decisions, and knowledge—to surface operational gaps, uncover customer needs, and enable proactive service optimization.
• Optimization Agent: Continuously improves performance across state-driven workflows by identifying inefficiencies to ensure consistent, reliable outcomes at scale. Patent pending.

Together, these agents support autonomous resolution while maintaining the governance and accountability that enterprise operations require. ASAPP deployments have demonstrated faster AI deployment timelines, higher task completion consistency, improved first contact resolution, and reduced operational errors, which enable customer service organizations to shift from managing individual interactions to running an AI-driven CX at scale.

SOURCE: GlobeNewswire

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Here is MarTech360’s weekly roundup of the top news from global markets. In this fast-paced world, breaking down information helps readers grasp the nuances that follow the news.

Top 10 News from this Week

• In Marketing Automation news this week…

StackAdapt Adds Campaign Intelligence to Claude via MCP

StackAdapt, the leading advertising and orchestration platform powered by AI, has made its Model Context Protocol (MCP) Server development available to the public. This strategic integration will help to dismantle platform silos by enabling users to tap campaign intelligence directly through their favorite AI tools, such as Claude. In fact, it is allowing real-time programmatic insights to be brought to the very places where marketing teams are already working.

• In Customer Experience news this week…

Precisely Introduces EngageOne RapidCX with Governed AI for Customer Communications

Precisely, a global leader in data integrity, revealed a major upgrade of its EngageOne RapidCX platform. Precisely is introducing “governed AI” in its fundamental communication management features with the goal of bridging the gap between the desire for AI-generated performance and the need for enterprise-level control.

• In Mobile Tech news this week…

SiriusXM Media and YouTube Forge Exclusive Audio Advertising Partnership

SiriusXM has officially sealed an audio advertising partnership with Google, making SiriusXM Media the exclusive advertising representative of YouTube’s audio advertising inventory in the U. S. With this strategic partnership, the YouTube creator ecosystem is connected to North America’s largest audio advertising platform, thus providing marketers with unmatched access to guaranteed impressions at a large scale.

• In Marketing Analytics news this week…

Siteimprove Unveils Advanced AEO Insights, Redefining Brand Visibility in the Age of AI Search

There has been a breakthrough in the area of Answer Engine Optimization (AEO) by the Siteimprove company, which has come up with its advanced AEO insights on the Siteimprove.ai Search platform. The company has taken such a bold step at a time when the world is rapidly adopting AI-driven search technologies.

• In Martech Content news this week…

Hyland Advances AI-Driven Content Innovation with New Enterprise Solutions

Hyland has launched new products as well as innovations to their Content Innovation Cloud, which have been developed in order to enable organizations to manage their content in a modern manner and integrate AI in their work processes along with preparing for agentic automation. Some of the innovations launched by Hyland include industry-focused solutions, AI-enabled content services.

• In Social Media Technology news this week…

NIQ Announces Partnership with Stirista on Privacy-Safe Audience Solutions

NIQ (NielsenIQ)-a worldwide leader in the field of consumer intelligence-and Stirista, a company which specializes in identity-driven marketing solutions-come up with a shared effort to create new audience solutions and media planning capabilities. The opening of the partnership means that privacy-safe, high-precision advertising is the next stage of the transition.

• Article Of The Week…..

Finance-Driven Martech: Why the Next Generation of Marketing Technology Will Be Built for CFOs, Not CMOs

The 2026 Dynamics 365 release wave from Microsoft brings AI-powered, agentic experiences across sales, service, finance, supply chain, commerce, HR, and ERP, all built on unified customer and operational data. It also introduces FP&A and Controller agents that operate directly within the system.

That is the blueprint. Data is no longer segmented by function. It is unified across the business. And once finance data sits alongside customer data, the entire stack changes its purpose.

How Zuora Uses Its Own Martech Stack to Prove Subscription Revenue Intelligence

Its usage monetization layer rates usage events in real time. That means every interaction, every feature use, every threshold crossed becomes a signal. On top of that, AI-driven account scoring identifies upsell opportunities based on how customers actually behave.

Now take that into Martech.

A user hits 80 percent of their subscription limit. That is not just a product milestone. It is a buying signal. The system knows the user is extracting value. It also knows friction is about to appear.

The post MarTech360’S Weekly News Roundup With YouTube, Google, Precisely, Siteimprove, Hyland, NielsenIQ And More! appeared first on Martech360.

CaliberMind unveiled further enhancements in its platform that assist B2B marketers in lifting the heavy burden of marketing measurement and attribution. The company shed light on how organizations are now able to bring together scattered data and match marketing performance to revenue results, thus effectively bridging the “marketing measurement chasm, ” that is, the gap in marketing measurement.

CaliberMind remarked that a lot of B2B companies face difficulties in associating marketing initiatives with business results because of data silos, widely varying attribution models, and the mismatch between the tactical on-ground marketing and the strategic high-level planning. Consequently, marketing teams are often without the necessary visibility to prove ROI and to make well-informed decisions on investment.

The firm noted that conventional methods compel marketers to make a trade-off between detailed, campaign-level analysis and broad, strategic evaluations. This rift leads to a disconnect between grasping what each buyer’s journey entails and assessing how the overall marketing spend contributes to the generation of leads and ultimately, the rise in revenue.

CaliberMind’s solution solves this issue by offering a platform where multi-touch attribution and marketing mix modeling work within one system. Such an integrated system allows companies to assess not only micro-engagement metrics but also macro-performance patterns.

Also Read: SiriusXM Media and YouTube Forge Exclusive Audio Advertising Partnership

The firm explained that by combining such functionalities into one solution, marketers will be able to overcome the gap between tactical optimizations and strategic budgeting processes. Marketers will not only have the chance to gauge the effect of individual marketing touchpoints but also see how their entire marketing budgets affect financial results.

The firm emphasized the significance of proper data management in making accurate calculations. Its platform unifies and normalizes data across several systems, such as CRM systems, marketing automation software, and different ad networks.

As pointed out by CaliberMind, this way will allow marketing departments to progress beyond simple attribution tools to become ready to measure performance within a more sophisticated framework considering today’s complex buyer journey processes.

According to CaliberMind, the closing of the marketing measurement gap was vital to establishing mutual trust between marketing professionals and C-suite members in their companies. Through the provision of clear data showing marketing’s role in pipeline development and revenue generation, it is possible to align marketing efforts with finance and sales departments.

CaliberMind concluded that its unified measurement methodology will provide an opportunity for B2B marketers to evolve from disjointed measuring of various activities to a holistic and outcomes-focused strategy, allowing for better evaluation of their performance.

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Market Better, the B2B marketing show trusted by 10,000+ marketing leaders, announced the acquisition of Legacy Media and the launch of Market Better Studio, a full-service growth marketing system built for small and mid-sized B2B service companies looking to scale.

Market Better has spent years building one of the most trusted audiences in B2B marketing, bringing together CMOs, growth leaders, and operators for real conversations about what’s actually working. The acquisition of Legacy Media, a video-first production company, brings proven content production expertise to the Market Better brand. Market Better Studio is now the result. It gives B2B service companies access to a full growth marketing system that connects organic content directly to revenue through their proprietary Content Funnel system.

The Market Better Studio Content Funnel system connects what most companies keep separate: content creation and revenue generation. Rather than treating organic content as only a brand-awareness play, Market Better Studio uses it as the starting point for a lead-generation engine. One that identifies engaged audiences, layers in intent data, and converts them into warm sales-ready opportunities.

Also Read: Material Names Raman Kalra President, Asia Pacific

“The Market Better Show has always been about giving our audience, made up of the top B2B marketers in the world, what they actually need to grow. Now, with Market Better Studio, we can take everything we’ve learned and put it to work for our clients. This isn’t just about content anymore. It’s about building a real engaged audience, putting intent data to work, and helping B2B service companies grow in ways they couldn’t before through the power of technology. We’re incredibly excited about what’s ahead,” said Mike McGrath, CEO of Market Better.

“What excites me most is how Market Better is closing the gap between content and performance,” said America Turner, Managing Director of Market Better Studio. “For a long time, those have been treated separately. We’re bringing them together in a way that actually makes sense. It means our clients aren’t just creating content to stay visible. They’re creating with a clear goal, which is to grow their business.”

SOURCE: GlobeNewswire

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unitQ, the leader in AI quality intelligence, announced the launch of its unified platform: a single system that continuously captures, analyzes, and connects every customer signal to the business outcomes that matter: revenue, retention, and risk. The platform brings together six purpose-built products – monitorQ, metricQ, competeQ, supportQ, interviewQ, and socialQ – under one intelligence layer, replacing fragmented point solutions and giving every team a single, shared view of what customers are experiencing in real time.

The launch marks a defining moment in how enterprises act on customer feedback. Legacy tools show what a fraction of customers said weeks ago. Point solutions surface what they’re saying now but stop short of connecting it to revenue, retention, or risk. The unitQ platform does both and connects it directly to the business outcomes that matter.

“unitQ was built by listening closely to the companies who trusted us early on. What started as real-time customer monitoring became something much bigger as our customers pushed us to go deeper, connecting what customers feel to what it means for revenue, retention, and risk,” says Christian Wiklund, unitQ Founder and CEO. “That’s what today’s platform represents. Not a rebrand or a pivot, but a direct response to what the world’s most quality-obsessed companies told us they needed.”

A New Category: AI Quality Intelligence

unitQ defines quality as the gap between what customers expect and what they actually experience. AI Quality Intelligence is how organizations measure it, close it, and connect it to the business outcomes that matter. It serves as a system of record for quality itself.

Also Read: Consensus Acquires Peel for AI Conversational Demo Platform

The category emerged from a core insight: fragmented tools produce fragmented understanding, and fragmented understanding is how companies lose customers they never knew were at risk. The unitQ platform is built on the premise that customer truth has to be unified to be actionable, and that every team, from CX to the C-suite, needs to work from the same reality.

The Platform: Six Products, One System

The unitQ platform is built on a single premise: customer truth has to be unified to be useful. Six purpose-built products form the complete system: monitorQ, the always-on backbone that surfaces issues the moment they emerge; metricQ, which connects every customer signal directly to the business metrics that drive each company — from total payments volume to member engagement – so teams can quantify impact and prioritize with confidence; competeQ, which benchmarks quality against competitors in real time; supportQ, which evaluates every human and AI interaction — not just the 3% that get sampled; interviewQ, which delivers qualitative insight at scale in minutes; and socialQ, which turns untagged social conversations into a proactive intelligence source.

Together, they give every team – product, engineering, CX, and leadership – a single, shared view of what customers are experiencing right now and what it means for the business.

Trusted by the Most Quality-Obsessed Companies

The products millions of consumers love every day – including Pinterest, Adobe, PayPal, Bumble, DraftKings, and Dropbox – trust unitQ to close the gap between what customers experience and what companies know about it.

“Pinterest is in the business of inspiring people. You cannot inspire someone who’s having a less-than-ideal experience on the app,” says Vani Kumar, Head of Quality Engineering at Pinterest. “unitQ gives us the ability to have a true finger on the pulse of our millions of users – and now we’re able to have intelligence and ask why across all of our users’ experiences. That’s what it means to take quality seriously at Pinterest’s scale.”

SOURCE: PRNewswire

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Companies are expected to provide personalized, seamless experiences across multiple channels, but in reality, they are still working with isolated systems, manual processes, and compliance risks keep on happening. As the year 2026 goes by, the market evolves from “AI-assisted” applications to “AI-native” environments where control and smartness are not just features but elements integrated into the whole communication lifecycle.

Precisely, a global leader in data integrity, revealed a major upgrade of its EngageOne RapidCX platform. Precisely is introducing “governed AI” in its fundamental communication management features with the goal of bridging the gap between the desire for AI-generated performance and the need for enterprise-level control.

Actionable Intelligence with Governed Oversight

The upcoming release of EngageOne Rapid CX in spring 2026 will allow regulated industries such as banks, insurers, and telecommunication companies to adopt AI with full confidence. There are three key innovations which make managing outbound communication easy and fast:

Next Best Action AI Agent: Governed AI technology allows analyzing the quality of the communication process in real time and offering advice on how to optimize it. Rather than just analyzing communication statistics, the agent will be able to suggest changes in order to optimize email communications and customer service processes.

Metrics Driven Homepage: The homepage has been re-designed and now includes five widgets showing real-time data on communication quality and recent activity. It will enable users to get an insight into how the “pulse” of their outbound messaging campaign is going without exporting data to third-party business intelligence applications.

Communication Tracker: This functionality provides an overview of the whole communication process from start to finish. All data concerning what was sent, when, and how, in whatever channel – print, emails, SMS, and other – are collected here. This helps resolve customer issues quickly and shorten call handling time.

For highly regulated industries, the “governed” nature of these AI tools is the critical differentiator. Unlike open-ended AI models that can hallucinate or introduce risk, Precisely’s approach embeds intelligence directly into existing, auditable workflows.

Impact on the Customer Experience (CX) Industry

It should be mentioned that this platform comes out at a very important time for Customer Experience (CX). As we know, in 2026, CX is not anymore about being friendly and quick; it has evolved into anticipatory precision.

The End of the “Communication Black Box”: Traditionally, a message that was sent used to be considered a “communication black box.” Did the recipient open it? Could the client understand what the message was all about? Did he need to contact customer support after that? Using a platform like RapidCX makes possible for a business to handle any friction points in advance without the need to get the problem reported.

Also Read: NIQ Announces Partnership with Stirista on Privacy-Safe Audience Solutions

Use of AI as an “Agentic” Force: Shifting towards the usage of “Next Best Action” agents means treating artificial intelligence as an active participant in the operation. It allows for proactive identification of problems, including decreased engagement rates, which is why human agent will not have to detect the problem by himself/herself.

Governance as a Catalyst for Speed: A common misconception is that “governance” slows down innovation. Precisely’s release proves the opposite: by automating compliance and embedding it into the workflow, organizations can move faster. They no longer need to conduct manual, painstaking reviews for every change, as the “guardrails” are already in place.

Effects on Businesses Operating in the CX Industry

For businesses managing the complexities of modern CX, the impact of these developments is twofold:

Operational Efficiency: Businesses can consolidate their technology stacks. By replacing scattered, fragmented tools with a single platform that handles creation, delivery, tracking, and compliance, organizations can significantly reduce IT burden and operational overhead.

Trust-Based Personalization: Customers in 2026 demand personalization, but they are increasingly wary of how their data is used. By using governed, data-integrity-focused platforms, businesses can deliver highly relevant messages without crossing the line into intrusive or non-compliant territory. This builds the foundational trust necessary for long-term customer loyalty.

Upskilling the Human Workforce: As AI handles the routine analysis of communication performance, the role of the CX professional is evolving. Teams can now focus on high-value tasks—such as experience design and strategy—rather than spending hours on reporting and manual compliance checks.

Conclusion

The latest update to EngageOne RapidCX is more than a software release; it is a signal of the industry’s maturation. As AI becomes the standard “operating system” for enterprise communications, the winners will be those who can harness that intelligence without sacrificing the oversight required in highly regulated environments. By prioritizing data integrity and governed AI, Precisely is helping businesses turn the complex web of customer communications into a competitive advantage.

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Consensus, the market leader in demo automation, has revealed that it had signed a definitive agreement to buy Peel, an AI-powered sales enablement platform that converts static marketing and sales content into engaging, dynamic and interactive conversations in real time. The acquisition will fundamentally change buyer enablement and lay the groundwork for the very first AI-native platform that can carry out a conversation, a demo, and a learning session all at once throughout the entire buyer journey.

Getting rid of the “Waiting” in B2B Sales More and more modern B2B sellers are seeking a do-it-yourself model, as they usually like to do research on their own and get agreement among their team members before contacting the sales rep. The old sales methods – simply providing static PDFs, scheduling demos, and using disconnected tools – usually add a lot of barriers that end up slowing the deal cycles.

The combination of Consensus’ interactive product tours and Peel’s conversational AI agents solves this by turning websites, videos, and presentations into dynamic, personalized experiences. This creates a “buyer-led” environment where every interaction captures critical zero-party intent data, allowing the product to adapt in real time to the buyer’s needs.

“AI enables a transformational shift from showing a product through a static demo to letting the product sell itself,” said Doug Johnson, CEO of Consensus. “Buyers don’t want to be guided through a process; they want to explore, ask questions, and build confidence on their own terms. With Peel, every demo, every asset, every interaction becomes a conversation that drives the deal forward. Now, sales is armed with intent data, so they know how to progress the deal. This is what a modern buying experience should feel like.”

Also Read: iOPEX Launches Outcome-Based “SuccessPilot” AI Agents

Driving Outcomes with Specialized AI Agents

The Peel framework relies on the use of customized AI systems to advance every phase in the customer journey funnel. Combining Peel’s framework with Consensus’ analytics and interactive video demos enables the creation of an endless feedback cycle for customers and a holistic overview of the engagement process for revenue teams, which allows for buyer-centric experiences.

“Peel was built to make content interactive: to give buyers a way to actually engage, not just consume,” said Brannon Santos, CEO of Peel. “Joining Consensus brings that vision to life at scale. Together, we’re creating a system where products can converse, educate, and move buyers forward, without requiring a meeting or forcing a sales motion.”

“For years, the buyer had to wait. Wait for the demo. Wait for the rep. Wait for an answer to a question they already knew how to ask. That era is over. Now the product speaks for itself. Said Ben Henson, CRO of Peel. “Consensus built the gold standard for how buyers experience a product. Peel taught that product to answer back. Together, we’re building something that has never existed: a buying experience with no waiting room.”

Strategic Advantages for Go-to-Market Teams

The integrated platform offers several core benefits to modern revenue organizations:

Interactive, Agent-Led Buying: Replacing static content with real-time, adaptive conversations.

Unified Buyer Intelligence: Capturing and acting upon intent signals across every touchpoint.

Accelerated Deal Cycles: Automating discovery and equipping sales reps with the full context of the buyer’s journey before the first discovery call.

Complex Industry Support: Providing high-stakes content experiences that improve product understanding and information retention.

Consensus plans to rapidly integrate Peel’s capabilities into its existing infrastructure. The transaction is expected to close in the second quarter of 2026, subject to customary closing conditions and regulatory approvals. Customers of both platforms will continue to receive full support as the companies work to accelerate the combined product roadmap.

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ChannelSight announced the launch of a new platform, ChannelSight.AI, designed to help brands gain real-time visibility and to optimise how they are discovered, understood, and recommended by AI tools and Large Language Models (LLMs) such as ChatGPT, Claude and Gemini.

Consumer behaviour is shifting from traditional search to AI-generated recommendations and agentic commerce, in which an AI agent searches, compares and completes the purchase for the user.

AI tools surface products based on data quality and content structure, not ad spend. For marketing and brand teams, the model that drove growth for years is breaking down. Brands know there is a problem – if a product is not understood by AI, it won’t be recommended – but few know where to start when trying to solve it.

ChannelSight.AI is built to solve this. The platform audits how a brand’s products appear across AI systems, scores their discoverability and produces specific, actionable, recommendations for improvements, each tied to a quantified revenue impact. With access to a powerful suite of tools, brands can see exactly where they stand and what they need to fix to improve their products’ AI discoverability.

Also Read: Kaltura Brings Conversational Avatars and Video Intelligence to Top CMS Platforms

ChannelSight has been at the centre of brand commerce for 13 years, working with hundreds of global brands and retailers including Philips, Diageo and Bosch across over 100 markets. ChannelSight.AI is powered by this experience and billions of proprietary data points that produce improvement recommendations that are specific, prioritised and grounded in real commercial outcomes.

A Critical Shift for Brands and Agencies

AI tools are becoming the primary interface for product discovery and this creates both risk and opportunity for brands and agencies. Brands risk losing visibility if product data is inconsistent or incomplete. Agencies risk falling behind if they cannot support clients in an AI-driven environment.

ChannelSight.AI provides a single solution to address both these challenges, supporting brands, retailers, and agency partners with immediate, real-time insights and optimisation.

On the launch, ChannelSight CEO, John Beckett said, “Every leadership team is asking the same question: what’s our AI strategy? The challenge for most brands is that they don’t have truly reliable data and the experience to answer it with confidence.

“ChannelSight.AI provides this. Our platform enables brands to understand how they appear across AI-driven discovery, where and how performance can be optimised, as well as where hidden revenue opportunities are being missed. This is actionable insight, not theory, and provides a solid foundation upon which that strategy can be built. We ensure brands are visible, competitive, and continuously optimised as AI evolves and full agentic commerce becomes the norm.”

SOURCE: Businesswire

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Material, an intelligent growth company providing consumer data and insights, brand strategy and product innovation, is pleased to welcome Raman Kalra as President, Asia Pacific (APAC).

Kalra’s appointment comes as Material continues to expand its global footprint with capabilities across insights, strategy, design and marketing technology. Kalra will lead the company’s APAC operations, bringing AI-driven data- and technology-enabled solutions closer to both global and local clients for whom the region is strategically vital.

Laila Worrell, Material’s CEO, stated, “This is a transformative time for the industry and our clients. Raman’s expertise in AI-driven transformation and success in APAC makes him the ideal leader as we deepen our commitment to clients who compete in and across this vibrant, growing market.”

Specializing in business transformation and demand engineering through data-backed insights, Kalra will partner with global teams to deliver Material’s full strategy-to-execution capabilities of insights, design and marketing technology to clients across the region.

Also Read: Leap Event Technology Sharpens Focus as a Fully Integrated, Data-First Live Event Technology

Kalra commented, “I am excited to lead Material in APAC as we intensify our commitment to global clients and especially the region. This is a pivotal moment for the industry as we reimagine how human insights and AI-first technology redefine how brands grow and businesses perform. I look forward to leveraging the company’s deep legacy of behavioral insights to build tech-based solutions that help our clients not only understand their markets but also shape them.”

About Raman Kalra, President, Asia Pacific

Raman Kalra brings over 30 years of experience at the intersection of strategy, technology and enterprise growth. He previously served as a senior partner with IBM and PwC Consulting, where he led AI-first growth strategies for global brands across media, telecom and energy.

Most recently, he led Business Transformation Services for IBM in India and South Asia, managing an end-to-end portfolio across digital strategy, AI transformation and customer experience (CX). He also engineered the cross-border acquisition of a Belgian digital energy venture for ReNew, successfully diversifying their portfolio.

SOURCE: Businesswire

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