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

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

AppLovin Corp. Logo

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

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

The Company announced the following management succession plans:

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

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

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

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

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

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

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

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

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

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

About Databricks: The data and AI company | Databricks

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Video Innovation Drives 2x Higher Purchase Intent, Study Finds

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

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

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

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

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

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Here are this year’s top takeaways:

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

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

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

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

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MTS Staff Writer
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Qualytics Launches Data Control Layer to Govern Context for AI Systems

Distribution Intelligence

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Enterprise Growth & Market Validation

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

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

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Expanding AI Solutions Across the Enterprise

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

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

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

World Economic Forum Leadership

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Clarvos Introduces Agentic Workflow Platform to Help Small Businesses Find Customers and Launch Campaigns in Minutes

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Clarvos Introduces Agentic Workflow Platform to Help Small Businesses Find Customers and Launch Campaigns in Minutes

Clarvos Logo

Early access workflow uses AI agents to help growing businesses discover new audiences, generate creative, identify trends and manage marketing across channels in one system

Clarvos, a marketing technology startup focused on simplifying marketing workflows for growing businesses, announced the early access launch of its agentic marketing workflow platform designed to simplify how growing small and mid-sized businesses (SMBs) plan, create, and run marketing campaigns. The platform brings together audience discovery, creative generation, and campaign execution into a single system, helping businesses maintain relevance and move from idea to live campaign in minutes.

Small and mid-sized businesses today face increasing pressure to grow, but many struggle to find new customers, understand what those customers value, and consistently produce marketing that performs. Managing campaigns across multiple platforms only adds to the challenge, making it difficult to keep up with the coordination required to plan and launch campaigns.

Research from the Ehrenberg-Bass Institute for Marketing Science shows that effective marketing depends on reaching new customers, understanding what they value, and aligning creative, media, and messaging accordingly. However, the growing number of platforms and data sources has made this process increasingly complex and time-consuming, especially for solo marketers and owner-operators.

The Clarvos Agentic Workflow introduces a unified workflow that coordinates campaign strategy, creative generation, and activation across Google, Meta and TikTok, using AI to simulate customer response, compare campaign options, and guide setup before launch while keeping teams in full control of final decisions. The result is an agentic workflow that cuts campaign launch time from weeks to minutes, reduces operational friction, and lowers the cost of managing multiple marketing tools by roughly up to 90% compared to typical multi-platform workflows.

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“Small businesses today are expected to manage the same level of marketing complexity as much larger organizations, but without the same resources,” said Tamera Montagna, CEO of Clarvos. “We built Clarvos to help teams do more with less by simplifying the workflow behind modern marketing. With one system coordinating planning, creative, and campaign setup, businesses can launch faster without needing a stack of different tools.”

A Unified Campaign Workflow for Growing Businesses

The Clarvos Agentic Workflow is built around an agentic workflow, meaning AI agents coordinate multi-step marketing tasks across audience discovery, planning, creative generation, budgeting, and campaign setup while keeping humans in control of final decisions. Instead of using separate tools for research, creative, media, and reporting, the system manages the full workflow in one place, reducing the need for manual handoffs between platforms and teams.

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At launch, the platform enables businesses to:

  • Discover potential customer segments using AI-generated audience modeling
  • Generate and manage ad creatives using AI and existing brand assets, with built-in approval workflows
  • Simulate customer response to messaging and creative before campaigns go live
  • Develop campaign plans and budget allocations
  • Launch campaigns across major platforms, including Google, Meta, TikTok and other channels without switching tools
  • Coordinate approvals and campaign setup from a single dashboard

Because the workflow begins with planning and insight, the platform can support a wide range of industries where small teams need to manage growth with limited resources, including retail, CPG, automotive, restaurants, home services, and local businesses. The platform can also support broader marketing decisions, including content and organic strategy, by helping teams understand which audiences, messages, and creative directions are worth pursuing before campaigns go live.

By consolidating the core steps of campaign planning and execution, Clarvos reduces workflow friction, shortens planning cycles, and helps teams move from concept to activation more quickly compared to traditional multi-tool processes. Early internal testing and pilot use have shown meaningful reductions in the time required to prepare and launch campaigns.

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AI Digital Relaunches Elevate: The AI-Powered Intelligence Platform Built to Break Open the Black Box

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AI Digital Relaunches Elevate: The AI-Powered Intelligence Platform Built to Break Open the Black Box

Elevate cuts manual research, planning, and reporting hours by up to 90%, empowering agencies with vendor-agnostic AI intelligence across the entire digital ecosystem

AI Digital, the AI-native consultancy and innovation partner powered by an Open Garden Framework, announces the relaunch of Elevate — its AI-powered marketing intelligence platform, redesigned to unify research, planning, optimization, and reporting across the full digital landscape. Elevate transforms cross-channel fragmentation into a single intelligence layer, giving agencies and brands total visibility, clarity, and control to drive measurable business results — whilst cutting manual research and planning hours by 90%.

Built on AI Digital’s Open Garden Framework, Elevate shifts how digital and programmatic advertising are planned, activated, and measured — offering a glass-box intelligence engine for a market plagued by black-box AI. Unlike traditional walled-garden approaches that limit data access, restrict cross-channel visibility, and prioritize platform incentives, Elevate is KPI-first and ecosystem-neutral, freeing marketers to select the best technology, inventory, and data partners for every brief. Early adopters report up to 70% reductions in reporting time, shifting teams from administration to high-value strategy and client advisory work.

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Why Elevate, Why Now

Marketers face fragmented tools, closed ecosystems, and unclear algorithms that often favor platform revenue over campaign performance.

Elevate changes this by consolidating every critical function — research, planning, optimization, and reporting — into one AI-driven platform. Drawing from billions of monthly data points and thousands of audience attributes, it enables faster strategy, KPI-aligned actions, and stronger client narratives.

What Elevate Delivers

Elevate is structured around four core capabilities:

  • Research: Deep competitor insights, audience understanding media intelligence.
  • Plan: AI-assisted media planning turns complex briefs into strategies in seconds, including benchmark forecasts, competitive analysis, and cookieless targeting with 95%+ confidence across key metrics.
  • Optimization & Reporting: The module centralizes all channel data into one clear, easy-to-control performance hub. The platform standardizes performance data across all channels, making it easy to compare results and understand what’s truly driving impact.
  • Advanced Analytics: Unified dashboard eliminates silos, delivering Marketing Mix Modeling (MMM), Path to Conversion, and an AI Campaign Analytics Assistant for strategic insights.

Underpinning it all is Elevate’s Open Market data layer, spanning Meta, Google, Amazon, YouTube, TikTok, and 15+ DSPs without vendor constraints.

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Built Different: Key Differentiators

  • Glass-Box AI: Complete clarity into every decision — no hidden logic.
  • DSP-Agnostic: Full digital ecosystem coverage, no lock-in or bias.
  • Human + AI: 200+ expert auditors ensure precision.
  • White-Label Ready: Branded reports feel in-house.
  • Zero Cost: Clients don’t pay extra for the features— all fees are included in AI digital partnership.

Measurable Impact

Programmatic media often represents just 15–20% of a client’s budget, yet accounts for up to 80% of the operational burden.

Elevate tackles digital/programmatic imbalances head-on:

  • 90%+ reduction in manual research/planning
  • 20–30% drop in data/planning expenses
  • 70% faster reporting/analysis
  • 5–20% savings in targeting; 5–20% retainer uplift
  • 4–7% better budget distribution
  • x3 conversion optimization

“Programmatic shouldn’t be a black box,” said Stephen Magli, CEO of AI Digital. “With Elevate, we’re giving agencies clear, AI-powered intelligence that cuts complexity, saves time, and keeps every decision focused on the client’s KPIs — not platform incentives.”

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TestRail Launches AI Test Script Generation to Eliminate Boilerplate Coding for Automation Engineers

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TestRail Launches AI Test Script Generation to Eliminate Boilerplate Coding for Automation Engineers

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TestRail 10.2 enables enterprise quality teams to turn documented test cases into structured automation code with full project artifacts in near real time, replacing 30-60 minutes of manual boilerplate coding per test

TestRail, the leading dedicated QA test management platform, announced TestRail 10.2, featuring AI Test Script Generation, a new open beta capability immediately available to all TestRail Cloud customers. As one of TestRail’s most-requested capabilities, AI Test Script Generation helps QA and automation engineers reduce repetitive setup work and accelerate the path from documented test cases to automation.

As automation demands grow, enterprise development and quality teams are under increasing pressure to move faster without sacrificing quality. However, much of the work required to automate tests remains repetitive, with automation engineers rebuilding the same setup and patterns for each new test. This inefficiency slows automation efforts, limits coverage, and pulls specialized engineering resources away from higher-value work.

“We’ve seen a significant increase in automation adoption, but effective execution remains a challenge. Engineers are spending too much time rebuilding the same foundations for each new test, instead of focusing on what actually improves quality,” said Sara Moura, Product Manager at TestRail. “AI Test Script Generation turns existing test cases into structured automation code and ready-to-use project files. Engineers can generate a first draft in seconds, refine it through AI guidance, and focus on improving logic, expanding coverage, and delivering real business value.”

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Integrated within TestRail’s leading test management environment, AI Test Script Generation guides QA and automation engineers from test cases to automation through a structured, step-by-step workflow:

  • Start with existing test cases: Leverage documented test steps and expected results already in TestRail as the baseline for automation.
  • Generate structured test automation code and project files: Instantly create organized, well-commented starting code with required tooling dependencies aligned with each test step.
  • Receive guidance and placeholders for implementation: Receive clear explanations and configurable variables to adapt outputs to the environment.
  • Refine outputs through an interactive chat interface: Adjust structure, patterns, and logic without starting over.
  • Integrate into existing automation workflow: Download a complete zipped, implementation of the given test automation framework to incorporate into existing projects and frameworks.

AI Test Script Generation is powered by Sembi IQ, the centralized AI platform designed to deliver intelligent quality capabilities across Sembi’s portfolio. Built as a shared intelligence layer, Sembi IQ enables TestRail to introduce new AI-driven features quicker while holistically improving accuracy, performance, and flexibility. By embedding AI directly within existing workflows, Sembi IQ delivers context-aware outputs without requiring new tools or processes.

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“With Sembi IQ, TestRail is focused on delivering AI capabilities that solve real problems in modern QA and automation workflows,” said Katrina Collins, AI Product Manager at TestRail. “We take an iterative approach, starting with practical, high-value use cases and improving them based on feedback from QA and automation teams. It’s built by QA for QA, with practical design choices that align with how teams actually work.”

“AI Test Script Generation is a first step toward deeper automation assistance, and we’re continuing to invest in areas like AI test selection, prioritization, and real-time business intelligence and enhanced analytics to help enterprises scale automation more effectively,” Collins added.

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DataTrace Releases White Paper on the Reality, Risk, and Responsibility of AI in Title Search Automation

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DataTrace Releases White Paper on the Reality, Risk, and Responsibility of AI in Title Search Automation

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New report details why insurable title requires validated data, title plants and responsible AI deployment

DataTrace®, the nation’s largest provider of property and ownership data and title automation solutions, announced the release of its new white paper, “Title Search Automation: Reality, Risk, and Responsibility of AI,” exploring how artificial intelligence is reshaping title workflows — and where trusted data infrastructure remains essential.

“Insurable title requires much more than access — it requires trusted data infrastructure and human expertise to simplify complex information. Only when that foundation of credible, verified data is in place can AI truly perform.”

As AI adoption accelerates across the real estate ecosystem, it raises a critical question: can AI access to public records alone produce reliable, insurable title? The paper finds that, while AI can improve speed and workflow efficiency, accurate title search and decisioning still depend on normalized data, title plant infrastructure, and rigorous validation processes developed over decades. AI alone cannot meet the industry’s standards for accuracy, consistency and reliability.

“Insurable title requires much more than access — it requires trusted data infrastructure and human expertise to simplify complex information. Only when that foundation of credible, verified data is in place can AI truly perform at the level the industry demands,” said Annette Cotton, chief data officer at DataTrace. “We’re at the forefront of deploying AI to help the industry move faster, but speed without accuracy does not meet the standard for insurable title. The real question is whether the underlying data is complete, connected and validated well enough to support confident, defensible decisions.”

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Among the paper’s key findings:

  • AI outputs are only as reliable as the quality, structure, and context of the data environment in which they operate
  • Public jurisdictional and court records provide an essential public index of recorded transactions, but function as a system of notice and do not validate the accuracy, completeness, or legal validity of recorded documents needed for insurable decisioning
  • Title plants transform disparate public records into reconciled, property-centric, decision-ready data sets, providing a more complete property-level analysis compared with public records alone
  • Title agents, real estate attorneys and title underwriters remain essential to interpreting data, resolving inconsistencies, and addressing off-record risks that impact insurability and ownership rights
  • State-by-state regulatory frameworks introduce legal and compliance requirements beyond the reach of AI and automation solutions
  • Long-tail title risk often stems from common data inconsistencies repeated across millions of transactions over time, making risk systemic, not driven by edge cases.

When applied across millions of residential real estate transactions annually, even small inconsistencies—when left unvalidated—can have meaningful impact. A 1% variance in data accuracy applied to 5 million transactions, which is similar to the long-run annual total existing home sales in the U.S., could create up to 50,000 instances of inaccurate title. These issues don’t emerge immediately, but instead surface over a five- to 10-year period as properties are refinanced, sold or litigated.

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“There is no mechanism for AI alone to deliver complete, accurate and insurable title from public records, because the record itself is not complete or verified,” Cotton added. “That’s why the future of insurable title is not AI by itself, but AI powered by structured, validated data and combined with human expertise that simplifies these complex inputs into actionable information.”

Through its title plant network, standardized datasets, cross-source validation, and integration into customer workflows, DataTrace transforms fragmented, notice-based public records into structured, normalized, and validated datasets—enhancing, rather than replacing the public record. The company currently delivers normalized datasets across more than 1,850 U.S. jurisdictions and maintains a document library of more than 8.5 billion recorded document images to support title production and automation at scale.

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Dialpad Named a Leader in the Aragon Research Globe™ for Intelligent Contact Centers for SMB, 2026

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Dialpad Named a Leader in the Aragon Research Globe™ for Intelligent Contact Centers for SMB, 2026

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Recognition Highlights Dialpad’s AI-Native Platform and Unified Approach to Customer Communications

Dialpad, the leading AI-powered customer communications platform, has been named a Leader in the Aragon Research Globe™ for Intelligent Contact Centers for SMB, 2026. The Aragon Research Globe is an independent evaluation of providers that are reshaping the contact center market through Generative AI and virtual agent technology. The recognition validates Dialpad’s unified platform approach and its continued investment in AI-native architecture.

“We didn’t bolt AI onto a legacy system. We built an AI-native platform purpose-built for how businesses actually operate.” Craig Walker, Co-founder & CEO of Dialpad

The Aragon Research Globe evaluates providers across strategy, performance, and market reach. Dialpad’s Leader positioning reflects its purpose-built AI capabilities, strategic partnership with Google, and expanding integrations with platforms including Salesforce.

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Aragon cited Dialpad’s unified platform, which brings together Dialpad Support, Dialpad Sell, Dialpad Connect, and AI Agents into a single AI-driven system. Key capabilities highlighted in the report include:

  • AI Recap for conversation summaries
  • AI Playbooks for real-time agent guidance
  • AI Scorecards for automated quality evaluation across 100% of calls
  • AI CSAT with Explanations for scoring and surfacing key drivers behind customer satisfaction

“Being named a Leader by Aragon Research is a testament to the platform approach we’ve taken since day one,” said Craig Walker, Co-founder and CEO of Dialpad. “We didn’t bolt AI onto a legacy system. We built an AI-native platform purpose-built for how businesses actually operate. With agentic AI now enabling autonomous customer workflows, we’re just getting started.”

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Dialpad’s Agentic AI platform enables customers to build autonomous multi-agent workflows for voice and chat with no code. These interconnected AI agents go beyond basic assistance, understanding complex requests, managing ambiguity, and securely connecting to external business tools to execute multi-step processes like booking appointments or updating records. Equipped with built-in governance, safety controls, and pre-built industry skill packs, the platform allows companies to shift from generating insights to autonomously resolving customer issues.

“The ICC market has shifted, and with a focus on Generative AI to power virtual agents, the time is now to transform the contact center,” said Jim Lundy, CEO and Lead Analyst at Aragon Research. “For buyers, modernization and automation are key priorities.”

Dialpad’s momentum continues to accelerate. The company has surpassed $350M in ARR and serves more than 40,000 business customers, including Randstad, Nasdaq, T-Mobile, Motorola Solutions, and Netflix. To date, Dialpad has delivered nearly 1 billion AI Recaps across its platform.

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Organizations Expand Use of Agentic Analytics as Qlik Customers Bring AI-Driven Decision Workflows into Production

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Pythian Sharpens Focus on Production AI and Expands Leadership in the UK

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Early deployments combine Qlik’s analytics engine, curated knowledge, and governed data with transparent AI reasoning to support operational decision-making.

Key takeaways:

  • New capabilities expand the agentic analytics experience: Qlik recently introduced Discovery Agent, extending its agentic analytics platform and giving organizations new ways to operationalize AI-driven insights across analytics and decision workflows.
  • Global leaders are putting agentic analytics into practice: Companies including Compass Healthcare, Malmo Redhawks and Bystronic Group are deploying Qlik’s agentic analytics capabilities to bring trusted, explainable AI into real business processes.
  • Open integration brings governed analytics into AI assistants: Through its Model Context Protocol (MCP) server, Qlik enables third-party assistants and AI agents to securely access Qlik analytics and governed enterprise data, expanding how teams interact with insights across applications and workflows.

Organizations are beginning to operationalize agentic analytics across real decision workflows with Qlik Answers®, hosted on Qlik Cloud®, as the unified conversational interface. Qlik is seeing growing adoption of its agentic analytics capabilities as customers deploy them in production environments, bringing trusted, AI-driven insights directly into everyday business processes.

Introduced earlier with the general availability of agentic analytics and the launch of the Model Context Protocol (MCP) server for third-party assistants, these capabilities enable organizations to combine AI reasoning with governed analytics and curated enterprise knowledge. In March, Qlik expanded these capabilities with the general availability of Discovery Agent. Together, they represent a shift toward AI systems that don’t just generate responses, but can analyze trusted data, explain their conclusions and integrate directly into operational workflows.

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“Organizations are looking for AI that doesn’t just provide answers, but that can reason through complex data and clearly display the reasoning,” shared Brendan Grady, General Manager, Analytics Business Unit at Qlik. “What we’re seeing now is organizations putting agentic analytics into real workflows, connecting AI reasoning with trusted data and governance so teams can confidently act on insights.”

Customer Perspectives

  • Max Mosky, SVP, Strategy & Innovation, Compass Healthcare: “The beauty of Qlik Answers is that it makes both our documentation and structured data accessible through a conversational interface. Instead of spending time searching for information or analyzing data, teams can stay focused on driving outcomes for our business.”
  • Andreas Hadelöv, Assistant General Manager, Malmö Redhawks: “In elite sport, there is no shortage of data. The hard part is making it useful in the moment and consistent across the organization. What is promising here is the open way Qlik is connecting analytics to emerging assistants and agents, because that gives teams a realistic way to experiment and evolve without rebuilding everything around one vendor.”
  • Stefan Heinz, Senior BI Analytics Specialist, Bystronic Group: “We saw the potential for Qlik Answers immediately. We easily connected it to SharePoint, and within 15 minutes, we had a chatbot running. People were already impressed with what they saw.”

These early implementations illustrate how agentic analytics can help teams move from insight to action faster by embedding reasoning-based AI directly into analytics and decision processes. By grounding AI outputs in governed data products and the associative logic of the Qlik Analytics Engine, organizations can maintain transparency, explainability, and consistency with established business logic.

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As organizations continue to move from AI pilots to production deployments, Qlik is expanding its agentic ecosystem with additional agents focused on areas such as data discovery, data quality, and pipeline monitoring, along with broader integrations through the Model Context Protocol.

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New Omdia White Paper Highlights Growing Identity Risk as Deepfake and Credential Attacks Rise

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New Omdia White Paper Highlights Growing Identity Risk as Deepfake and Credential Attacks Rise

Recommends continuous and holistic approach to effectively combat
identity-driven threats targeting workforce, third parties, and customers

ID Dataweb, a recognized leader in identity threat detection and risk mitigation, announced the availability of a new industry white paper from technology research and advisory group Omdia titled “Controlling Identity Risk: Detecting and Mitigating Identity Threats.” The paper examines how attackers exploit weak, stolen, or otherwise compromised credentials across customer, third-party and workforce workflows, and why enterprises need a holistic approach to managing identity risk.

The report highlights that traditional identity and access management (IAM) approaches are no longer sufficient against threat actors armed with stolen data and increasingly sophisticated social engineering tactics. It presents an identity verification maturity model that progresses from credential-only authentication to step-up authentication, point-in-time identity verification (IDV), and ultimately continuous identity threat detection and risk mitigation.

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The advent of identity threat detection and risk mitigation

Identity threat detection and risk mitigation goes beyond IDV by analyzing the broader pattern of transactions associated with a credential, as well as activity across other credentials in the environment. It incorporates a feedback loop that enables continuous learning and refinement of the decision engine. This approach integrates adaptive identity verification, behavioral analytics, device and credential intelligence, and risk scoring to identify and mitigate threats in real time.

What to look for to effectively combat identity-driven threats

Identity use cases are diverse and often span multiple teams within an enterprise, each with distinct objectives and risk tolerances. To be effective, organizations must avoid siloed identity security strategies that optimize for individual teams but leave the enterprise exposed overall.

The report emphasizes the importance of solutions that provide, at minimum, the following capabilities:

  • Flexible risk detection and orchestration
  • Broad access to authoritative identity data sources and risk signals
  • Resilience across infrastructure, data, and identity verification services
  • Privacy preservation

This holistic approach enables organizations to deploy a single solution that integrates across multiple enterprise use cases—including customers, third parties (such as contractors and suppliers), and workforce—while reducing complexity, cost, and risk.

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“Identity risk is no longer confined to a single login, transaction ,or device,” said Dave Coxe, Co-founder and CEO at ID Dataweb. “Organizations need a unified approach that can continuously verify the person behind the credential across the full identity lifecycle without adding friction for legitimate users.”

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Nasuni Unveils Expanded Strategy, Brand, and Platform Enhancements for File Data Activation to Help Maximize AI Investments and Productivity

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Nasuni Unveils Expanded Strategy, Brand, and Platform Enhancements for File Data Activation to Help Maximize AI Investments and Productivity

As AI Adoption Accelerates, Hardware Costs Rise, and Distributed Teams Rely on Resilient File Access, Nasuni Delivers the Foundation Enterprises Need

Nasuni, a leading unstructured data platform for enterprise teams and AI, unveiled its expanded brand and product strategy (including new Active Everywhere and AI Activate offerings), reflecting its evolution to support the future of collaborative work. Building on recent momentum, from the acquisition of Resilio, to the opening of a new innovation center, and an expanded multicloud ecosystem, Nasuni is investing across the business to meet the operational needs of its customers in the AI era.

As enterprises adopt AI-driven workflows across distributed teams, they face infrastructure volatility, rising hardware costs, data governance challenges, and ransomware threats. The operational file layer – where critical data like designs, financial records, project documentation, and media assets live – has become more mission-critical than ever.

“The enterprise technology landscape is at an inflection point, and our platform’s core architecture was built for this moment,” said Sam King, CEO of Nasuni. “Nasuni has been a pioneer in cloud file storage since its founding. With built-in permissions, versioning, protection, and a global namespace, we are now also uniquely designed to power enterprise work in the AI era. We are proud to support over 1300 customers across industries that impact our day-to-day lives such as manufacturing, life sciences, AEC, energy, and media. Our enhanced brand identity, platform capabilities, and recent investments reflect our commitment to those customers and our dedication to bringing leading solutions for unstructured data management to the market.”

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A Brand for the Next Era of Enterprise Work

Nasuni’s new brand marks the company’s evolution from cloud file storage innovator to the unstructured data platform for enterprise teams and AI. The new identity reflects this expanded strategic mission and a belief that the best outcomes happen when enterprise teams are empowered by trusted data and supported by AI on the same governed foundation. Central to this evolution, Nasuni will put its customers at the heart of every story, celebrating the work they do and the impact they make across the industries they serve.

“As we scale our global operations, a secure and well-governed data foundation is essential,” said Dan Poon, IT Infrastructure & Security at Marmon Crane Services (a Berkshire Hathaway company). “We are focused on improving how operational data is accessed and leveraged across regions to drive efficiency and support our AI and automation strategy. Nasuni is a strategic partner in helping us unify and manage unstructured data, enabling faster access to critical information while maintaining the governance, security, and compliance standards our business demands.”

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New Platform Capabilities: Faster Teams, Smarter AI, One Trusted Foundation

Nasuni is introducing two new platform capabilities designed to make enterprise teams more productive and give the AI systems that support them governed access to the same trusted file data foundation.

  • Resilio Active Everywhere v6 (Preview Q2, GA in Q3 2026):
  • v6 of the Active Everywhere solution enhances integration with the Nasuni platform, delivering edge teams LAN-speed access to governed file data without WAN optimization appliances, or proprietary caching hardware broadly across the Nasuni customer base. Operating under Nasuni’s existing namespace, permissions, and governance, Active Everywhere can simplify edge infrastructure, eliminating hardware costs that are rising fast.
  • AI Activate (invite-only preview Q2, GA in Q4 2026): AI Activate extends the value of the Nasuni platform to AI agents and large language models with the same governed, permission-aware access that enterprise teams rely on every day. Via Model Context Protocol (MCP), any authorized AI tool can discover, read, and act on file data within existing trust boundaries without separate data pipelines, data copies, or new infrastructure. AI works directly on file data, because Nasuni’s core architecture is also uniquely suited for building data pipelines for AI.

“The era of solving file infrastructure problems with more hardware is over,” said Nick Burling, Chief Product Officer at Nasuni. “Supply is constrained, costs are rising, and enterprises need a better model. Nasuni takes a different path entirely: software-defined, cloud-native, providing the operational file layer where your data already lives. In addition, AI without trusted context creates noise and risk. Nasuni is designed to deliver permission-aware, continuously indexed file intelligence that AI can safely act on, grounded in the same source of truth enterprise teams depend on every day.”

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Infobip and Telescope Partner to Provide SMS & WhatsApp Product Offerings to Boost Audience Engagement

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Infobip and Telescope Partner to Provide SMS & WhatsApp Product Offerings to Boost Audience Engagement

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Together, Infobip and Telescope partnered with major entertainment awards programs to process global award voting.

Global AI-first cloud communications platform Infobip partnered with Telescope, the leader in real-time audience engagement, to deploy multiple fan engagement campaigns, including processing fan voting for American Idol, the Brit Awards and recent BAFTA Awards.

With their reach and availability on all mobile phones around the world, SMS and WhatsApp are a part of the most reliable messaging services and are a staple platform for businesses’ communication strategies. Their ability to deliver messages almost instantaneously makes them ideal channels for time sensitive campaigns, like award shows that need to quickly process viewer voting campaigns.

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“Across numerous industries like retail, finance, travel and more, SMS and WhatsApp are established, staple channels to dependably reach customers and intended audiences,” said Goran Juršić, Chief Growth Officer at Infobip. “Telescope has built something remarkable – turning millions of viewers into active participants in real-time. Our work with Telescope is only the latest use case to display how this reliable service can be deployed for effective two way communication or through additional channels as fan expectations evolve.”

Each year, Infobip processes billions of SMS & WhatsApp messages across its platform. While channels like RCS, and iMessage continue to gain traction as popular messaging channels, both channels with their exceptional engagement, high conversion rates, and strong ROI, continue to be a key component in omnichannel strategies. According to Infobip’s 2025 Messaging Trends Report, most brands are using SMS plus the most popular chat app in the region (WhatsApp, iMessage, etc.), to effectively engage with targeted audiences.

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With millions of people tuning into live TV competitions and shows, Telescope is known for bringing viewers directly into these programs in real-time through live voting, trivia, and interactive experiences for some of the most popular televised events. Through this partnership, Telescope uses Infobip’s SMS and WhatsApp product offerings to enhance fan engagement campaigns, ensuring viewers can participate in the action, regardless of where they are in the world.

“Our mission is to turn viewers into participants, and the key to doing that at scale is meeting the audience where they already are,” said Ori Nakar, Managing Director at Telescope. “Our partnership with Infobip allows us to offer a frictionless, highly scalable solution that removes traditional barriers to entry.”

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Pure IP Acquires Vive Communications to Enhance UcaaS Offering, an IT ExchangeNet Transaction

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Pure IP Acquires Vive Communications to Enhance UcaaS Offering, an IT ExchangeNet Transaction

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Vive Communications, an all-in-one VoIP and collaboration platform, has been acquired by Pure IP. Vive Communications was advised by IT ExchangeNet.

IT ExchangeNet, a leading M&A advisory firm serving mid-market VoIP, UCaaS, and IT-enabled businesses, today announced the acquisition of Vive Communications, a unified communications and collaboration solutions provider by Pure IP, a BCM One company, who is a global provider of voice, network and unified integration solutions for mid-to-enterprise businesses.

Founded in 2001, Vive built a strong reputation for delivering comprehensive UCaaS, VoIP, and contact center solutions to enterprises across the U.S. The acquisition strengthens Pure IP’s unified communications portfolio and expands its national presence, adding Vive’s deep technical expertise and customer-centric service model to its growing platform.

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“IT ExchangeNet was instrumental in facilitating this process, leveraging their deep industry expertise to identify qualified buyers from their global network,” said David Dart, founder of Vive. “The team was disciplined and methodical, working through every stage of the engagement to ensure a successful outcome.”

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Sandy Preizler, CEO of BCM One added “This acquisition strengthens UCaaSone and enhances our ability to deliver scalable, high-performance communications solutions built for today’s hybrid workforce.”

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Reckitt Accelerates Innovation with NIQ AI Insights, reporting up to 65% faster research

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Reckitt Accelerates Innovation with NIQ AI Insights, reporting up to 65% faster research

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Case study shows faster development and stronger-performing concepts

NIQ, a global leader in consumer intelligence, shared new results from Reckitt’s use of NIQ BASES AI Screener, demonstrating how AI-powered insights and synthetic data are transforming innovation speed and effectiveness. The case study highlights how Reckitt has accelerated concept development while improving performance outcomes—bringing more relevant products to market, faster.

NIQ BASES AI Screener supports teams to evaluate, screen, and optimize early ideas or concepts before proceeding to research & development.

As companies face growing pressure to innovate quickly in an increasingly complex consumer landscape, traditional research and development cycles can slow decision-making. Reckitt’s adoption of AI-powered screening reflects a broader shift toward predictive, data-driven innovation—where teams can test, refine, and optimize ideas before investing in physical development.

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Key Results from Reckitt’s Use of NIQ BASES AI Screener:

  • 70% faster insight generation, reducing timelines from weeks to hours
  • 2–3x higher concept performance compared with prior human-developed benchmarks
  • Up to 65% reduction in research timelines and 50% lower research costs
  • 75% fewer physical prototypes required, accelerating speed to market
  • Synthetic personas based on NIQ’s proprietary consumer behavioral data and validated against human-tested concepts, enabling more reliable and regularly refreshed predictions

“AI is helping us do what we’ve always wanted—to learn early, fail fast, and optimize quickly,” said Dr. Elaine Rodrigo, Chief Insights & Analytics Officer at Reckitt. “The quality of what we get from NIQ BASES—especially the precision in how they build their synthetic data panel—gives us confidence that we’re basing decisions on real consumer behavior.”

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Reckitt has embedded NIQ’s AI solutions across the early stages of its innovation process—from insights generation to concept creation and validation— supported by a large‑scale data foundation spanning multiple categories and markets. This approach enables teams to design more consumer-centric solutions while moving at significantly greater speed.

“NIQ BASES AI Screener supports teams to evaluate, screen, and optimize early ideas or concepts before proceeding to research & development. By leveraging synthetic respondents created from validated human panel data, the solution delivers predictive accuracy grounded in real consumer behavior—helping teams identify winning ideas and refine them earlier in the development cycle.”

“The companies winning today are those that can turn consumer understanding into action, faster,” said Curtis Miller, President of Enterprise and Activation Solutions at NIQ. “By combining leading data scale and granularity with advanced AI models, we’re helping clients move from ideas to decision-ready innovation with greater speed and confidence.”

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Zokera Introduces Creator-Led Commerce Platform for India’s Influencer Economy

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Zokera Introduces Creator-Led Commerce Platform for India’s Influencer Economy

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A new platform connecting creators, brands, and shoppers through performance-driven commerce, cashback rewards, and digital storefronts

Zokera, an emerging player in India’s rapidly growing creator economy, has introduced a platform designed to connect brands, creators, and shoppers through a unified, performance-driven commerce ecosystem. The launch reflects a broader shift in how digital commerce is evolving, moving away from traditional advertising-heavy models toward more trust-based, creator-led distribution systems.

The platform enables creators to build personalized digital storefronts where they can curate and share products with their audience. Through these storefronts, creators can earn commissions on successful purchases, creating a scalable and performance-based monetization channel. For shoppers, the platform offers curated recommendations from trusted creators along with cashback incentives, enhancing both discovery and savings. Brands, on the other hand, gain access to a network of creators and tools that allow them to scale partnerships while tracking measurable return on investment.

The introduction of Zokera comes at a time when digital advertising costs are rising significantly across platforms such as Meta and Google, making customer acquisition increasingly expensive for brands. As a result, businesses are actively seeking alternative channels that deliver better efficiency and performance. Creator-led commerce, which leverages trust and community-driven recommendations, is emerging as a viable solution to this challenge.

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Zokera addresses this shift by integrating affiliate infrastructure, creator commerce tools, and performance analytics into a single platform. This integration allows brands to move beyond fragmented influencer campaigns and instead adopt a more structured, data-driven approach to creator collaborations. At the same time, creators benefit from a unified system that combines content, commerce, and earnings tracking, eliminating the need to rely on multiple tools or platforms.

Early traction data indicates promising adoption of the platform. According to available information, Zokera has generated over ₹3.41 lakh in gross merchandise value (GMV) and onboarded more than 6,000 users during its initial phase. Notably, this traction has been achieved primarily through cashback-driven commerce, even before the full rollout of creator monetization features and brand subscription models. This suggests a strong underlying demand for performance-based shopping experiences in the Indian market.

One of the key features of the platform is the ability for creators to centralize their audience into their own structured “shop.” This approach reduces dependency on third-party social media platforms, where algorithm changes or account restrictions can significantly impact reach and earnings. By directing their audience to a dedicated storefront, creators can maintain greater control over their monetization strategy and build a more stable, long-term income stream.

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The platform also supports a wide range of use cases for different types of creators, including influencers, content creators, and Telegram-based deal curators. By enabling structured product listings, categorized deals, and customizable storefront layouts, Zokera allows creators to optimize their content-to-commerce flow. This not only improves user experience for shoppers but also increases conversion rates and overall earnings potential.

From a market perspective, India’s influencer marketing industry is experiencing rapid growth and is expected to reach significant scale in the coming years. Similarly, affiliate marketing and performance-based commerce are gaining traction as brands shift toward cost-efficient acquisition strategies. Platforms that combine these elements into a single ecosystem are likely to play a critical role in shaping the future of digital commerce.

Industry observers note that Zokera’s approach of combining influencer marketing, affiliate commerce, and cashback incentives into one platform aligns with broader global trends in social commerce. By focusing on performance-driven outcomes rather than vanity metrics such as impressions or likes, the platform positions itself as a solution for brands seeking measurable business impact.

Looking ahead, Zokera plans to expand its creator onboarding efforts across India, strengthen direct brand partnerships, and further develop its technology infrastructure, including advanced analytics and CRM tools. The company is also expected to explore opportunities for scaling its model into international markets as it continues to grow its ecosystem.

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