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MarTech Interview With Ethan Gustav, Group President, North America @ Infobip

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Paroma Sen
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MarTech Interview With Ethan Gustav, Group President, North America @ Infobip

Ethan Gustav, Group President, North America for Infobip catches up with MarTech Series to chat about the latest AI-powered marketing trends and consumer buying behaviours:

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Tell us little about yourself, and more about your role at Infobip

For the majority of my career, I’ve been focused on helping ambitious companies (OpenMarket, Amdocs Inc.) grow their business and build high-performing teams in various sales and business development roles.

When I came to Infobip as Vice President of Revenue for North America and Global Strategic Accounts, I saw this as an opportunity to do the same for a “behind the scenes” company – a successful company that powers virtually every touchpoint of the customer experience for some of the world’s most renowned brands. Now as Group President of North America, I leverage my past experience working for major messaging and digital communications companies to point to why Infobip is business-critical for brands to create an unrivaled omnichannel experience for their end consumers, resulting in long-term brand loyalty, engagement, and meaningful customer connections that set the foundation for these companies to become a brand people love.

Can you talk to us about the latest AI in marketing trends that are impacting the ecosystem today?

Last year, specifically during the holiday season, cemented AI as a business must-have. With AI becoming a tool that more consumers are embracing, we’ll really start to see AI maturity take off with brands exploring what kind of value it brings outside of customer support automation. This year, AI agents are expected to handle up to 95% of customer engagements, going beyond round-the-clock personalized support. We’ll see more AI chatbots taking over more routine tasks (banking inquiries, order tracking, cost comparison, product discovery, etc.), while advanced voice bots are emerging as a tool to unlock more opportunities for automation and enhanced customer conversations.

We’ll also see data management becoming more of a priority. Customers want to feel seen and heard, and personalization is key to achieving this. As AI evolves, business interest in smaller, domain-specific language models is gaining traction because of their ability to support hyper personalization by providing accurate, context-aware responses with data privacy and compliance in mind, which is a top consumer preference.

Additionally, conversational AI will continue to improve its ability to mimic human conversations, from speech patterns to awareness. Having a holistic digital presence is still important for businesses to reach various consumer audiences and embedding conversational AI across communications channels make it easier to meet customer expectations at scale; from personalized promos and boosted customer retention to actionable insights that can help marketers optimize messaging, segment audiences, and improve campaign performance over time.

What AI-powered martech features are customers leaning more towards today?

Before I answer this question, I want to share some additional context to deepen the understanding of how agentic AI and conversational AI differ: conversational AI mimics human-like interactions while agentic AI drives outcomes and efficiency.

Consumers have long been skeptical about AI, showing hesitancy to embrace the tech and use it in their day-to-day. That changed last holiday season – consumers felt pressure to tighten their purse strings due to impending tariffs and rising costs. Because of AI agents’ ability to instantly cost compare and discover new products, consumers leaned on the tool to streamline their shopping processes as they fulfilled their gift lists – a trend we’ll continue to see with AI creating a more accessible end-to-end experience.

Additionally, consumers are increasingly adopting conversational AI. People still want to build human connections, even in their interactions with brands. Speaking to human agents might not always be feasible, especially during periods of time when demand for customer support is spiked (holiday shopping season, Valentine’s Day, other major retail events). Conversational AI addresses both needs: maintaining natural human conversation patterns while enabling human agents to focus on more complex issues. In marketing, this deepens customer loyalty further by providing product recommendations, amplifying seasonal promotions, and making it easier overall to bring customers to purchase through cart abandonment notifications, back in stock alerts, and personalized offers.

How can modern marketing teams capitalize better on multichannel texting to nurture prospects and customers?

It’s important for marketers to not view AI as a standalone tool. As I said earlier, having a holistic digital presence is important in order to reach various customer segments. AI can amplify these digital channels’ effectiveness by creating more targeted conversations that resonate with various audiences.

Taking a step back, texting and mobile messaging offer more than promotional avenues. Because they boast more interactive features (appointment booking, in-app purchases, hi-res image carousels, etc.) and allow for two-way conversations to take place, brands can leverage these channels to create more meaningful interactions, provide always-on support, and bring customers to point-of-purchase. Consumers are increasingly using platforms like RCS messaging (Rich Communications Services) and WhatsApp because of their interactive features and security capabilities, making these channels ideal for boosting customer confidence and engagement.

When you add AI into the equation, the value proposition of these channels is enhanced, resulting in stronger customer loyalty, personalization, and intuitive support. When marketers blend conversational AI’s intuitiveness and ability to mimic human conversation with messaging platforms’ interactive features, an unmatched digital experience is introduced, encouraging customers to engage at every touchpoint, from carousel displays of new products to fun games and quizzes that keep them entertained, even when they’re not in the process of purchasing something.

By folding in AI into existing omnichannel platforms, marketers unlock more strategic advantages, including deeper customer loyalty, in-app shopping experiences that are more accessible for customers, and 24/7 hyperpersonalized service. On the other side of the coin, marketers receive more customer details that are provided during AI-powered conversations that help them nurture prospects and better understand what matters most to shoppers, giving them the tools needed to deliver an experience that will resonate with prospective and existing customers.

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A few ways in which you’ve been using AI-powered martech and salestech features and processes to drive impact at Infobip?

As a company that’s been at the forefront of digital innovation since its inception, we’ve evolved into a platform that’s AI native by design and a company that’s actively exploring the use of AI for various business functions beyond automation.

Our AI chatbots, including the ones on our Answers platform, handles routine internal and B2B customer queries so human agents can dedicate more time for complex issues that require intervention. We also use generative AI to craft tailored marketing messages and email campaigns at scale to meet consumer expectations for hyper personalized experiences, resulting in higher engagement rates with potential enterprise clients.

Another top priority has been using AI to analyze prospective behavior so we can pinpoint high value leads for sales teams to ensure immediate action on the most promising opportunities. The customer insights collected allow us to predict churn or identify upsell opportunities so customer success teams can intervene proactively.

These are just a few examples of how we’re making the most of AI’s ongoing evolution — AI’s value as an FAQ automation tool is cemented, and it’s critical for us to leverage our tech innovation expertise to apply the technology in a way where we deliver what our customers need and help them keep pace with the expectations of a growing digitally native audience of end consumers.

Five martech takeaways you’d like to leave us with before we wrap up?

AI is no longer a nice-to-have – it’s critical in order to keep pace with the market and consumer expectations. As the pool of digitally native consumers continues to grow, some takeaways I’d like to share are:

Marketers do not need to reinvent the wheel to deploy AI or create an unmatched experience. AI and omnichannel need each other to improve brands’ digital presence, ensure they’re on the channels that consumers find the most valuable, and make customers feel valued through hyper personalization.

If brands are still in the early stages of AI adoption, they’re falling behind. Folding AI into existing digital tools can help brands bridge that gap, amplifying the effectiveness of communications platforms they’re already using while they explore new opportunities for AI to boost automation and enhanced customer conversations.

Mobile messaging still reigns king. AI may be the shiny new object consumers are embracing and businesses are investing in, but the easiest way to reach customers at scale is still through the communications channels on their phone. It’s important for marketers to understand which channels are used most, and they must also take the time to understand which channel is most valuable for each touchpoint of the customer journey (RCS messaging for real-time delivery updates, social media for attracting new customers, in-app chatbots for support, etc.).

Brands must understand the various AI tools they have in their belt. As investments in AI continue to ramp up, it’s important that they know the distinction between AI types (ex: conversational AI vs. agentic AI) in order to reap the most value. This will help them understand where in their marketing strategies AI can be most beneficial (product launches, customer segmentation), as well as how AI can help them address consumer priorities (immediate support, personalized offers).

Creating meaningful customer experiences requires more than adopting the latest technologies. It means really knowing your customers, from how and where they prefer to communicate to macroenvironmental factors that impact their behaviors. Omnichannel strategies and AI adoption can only do so much – marketers must understand what type of personalized communication will bring them to the point of purchase and foster long-term loyalty, which AI can support.

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Infobip is a global cloud communications platform that enables businesses to build connected experiences across all stages of the customer journey, with AI as the driving force of innovation. Through a single, natively built platform, Infobip delivers omnichannel engagement, identity, user authentication and contact centre solutions that help businesses and partners overcome the complexity of consumer communications while driving growth and increasing customer loyalty. Infobip is focused on enabling and accelerating AI adoption as it continues its transformation into an AI-first company. Infobip’s technology has the capacity to reach over seven billion mobile devices in 6 continents connected to over 10k+ connections of which 800+ are direct operator connections. The company was established in 2006 and is led by its co-founders, CEO Silvio Kutić and Izabel Jelenić.

About Ethan Gustav

Ethan is a senior executive with over 20 years of experience, harnessing a track record of building and leading high-performance teams that drive revenue in high-growth technology companies. He is an experienced leader principled in building high-trust working cultures and proven champion of the Customer and Employee experience. Serving in the role of Group President North America at Infobip (and member of the Executive Leadership Team), he is responsible for Infobip’s global customers headquartered in North America and is responsible for all go-to-market functions for the largest TAM in CPaaS and SaaS-based Conversational AI. He is passionate about delivering the promise of Infobip to the world: enabling and simplifying B2C interactions at scale, on any device, channel, place, and time.

AUI Acquires Quack AI, Developer of AI Customer Service Agent Technology

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PRNewswire
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AUI Acquires Quack AI, Developer of AI Customer Service Agent Technology

AUI, the company behind Apollo-1, the world’s first neuro-symbolic artificial intelligence model, has acquired Quack AI, which developed a specialized technology for operating AI agents for customer service. The agreement is expected to double the size of AUI’s Israeli R&D team in Tel Aviv.

Quack AI was founded in 2023 by Nadav Kemper, CEO, and Aviram Roisman, CTO, and currently employs 15 people. The company participated in the Fusion accelerator program and raised approximately $7 million in a seed round led by Hanaco Ventures and Storytime Capital, with participation from Fusion VC, Savyon Ventures, SeedIL Ventures, and additional private investors, including Dan Adika, Founder and CEO of WalkMe.

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Quack AI builds trainable AI agents used by companies across various industries to improve and automate their support processes. The agents proactively identify and resolve customer issues at an early stage, before they escalate. The platform also enables training agents to handle complex topics requiring specialized expertise. The company’s platform serves dozens of global customers, including Artlist, Yotpo, WalkMe, and Hologram. Quack AI customers will continue to receive full and uninterrupted service, now backed by AUI’s infrastructure, resources, and technology.

Augmented Intelligence (AUI) was founded in 2017 by Ohad Elhelo, CEO, and Ori Cohen, Chief Product Officer, and has raised $60 million to date. The company developed Apollo-1, the world’s first neuro-symbolic AI model, which combines two approaches: large language models (LLMs), used to understand user messages and generate responses, and symbolic computation, used for decision-making and logic execution.

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This combination enables the system to successfully manage task-oriented conversations, interactions in which agents are required to perform tasks on behalf of organizations in front of their customers, such as opening a bank account or completing online purchases through natural dialogue. Task-oriented conversations that require agents to follow deterministic instructions have remained an unresolved challenge for standard large language models. This stands in contrast to open-ended dialogue ode generation, areas dominated by models such as ChatGPT, Claude, and Gemini.

AUI operates in strategic partnership with Google and serves companies across regulated industries, from automotive and insurance to retail and e-commerce, including Fortune 500 companies. The company employs approximately 60 people in Israel and the United States.

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Mktg.Tech Launches Independent Ranking and Evaluation Platform for Marketing Technology

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MTS Staff Writer
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Mktg.Tech Launches Independent Ranking and Evaluation Platform for Marketing Technology

Platform introduces a structured methodology for evaluating marketing tools and agencies through data-informed analysis.

Mktg.Tech announced the launch of its independent ranking and evaluation platform designed to provide structured, data-driven assessments of marketing technology tools, agencies, and artificial intelligence systems.

The platform introduces a documented scoring methodology that evaluates solutions based on defined criteria, operator insight, and real-world application across business environments. Rankings are supported by published evaluation frameworks and ongoing reassessment as platforms evolve.

The launch comes at a time when marketing leaders are navigating an expanding landscape of software and AI solutions. As technology stacks grow more complex, demand has increased for transparent evaluation models that provide context around capabilities, tradeoffs, and use cases.

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“At Mktg.Tech, our objective is to deliver structured and transparent analysis that marketing professionals can reference when comparing platforms,” said Mike Brown, Partner at Mktg.Tech. “Each ranking is based on defined scoring criteria and practitioner evaluation.”

According to the company, the framework incorporates multiple evaluation dimensions, including functionality, integration capability, operational impact, and category-specific performance factors. Rankings are designed to provide comparative insights rather than promotional placement.

The platform evaluates marketing tools across multiple categories, including automation, CRM systems, analytics platforms, AI-driven applications, and specialized marketing technologies. Agency evaluations follow a structured review model that considers service scope, technical expertise, and execution capability.

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“We believe structured analysis and clearly documented methodology are essential for informed decision-making,” said Erik Chavez, Partner at Mktg.Tech. “Our approach is designed to provide transparency around how evaluations are conducted.”

In addition to rankings, Mktg.Tech provides category insights, methodology documentation, and ongoing updates to reflect changes in platform capabilities and market developments.

The company stated that its evaluation models will continue to expand as new marketing technologies and AI solutions enter the market.

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Vbrick Becomes First Enterprise Video Platform to Achieve C2PA Conformance

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Business Wire
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Vbrick Becomes First Enterprise Video Platform to Achieve C2PA Conformance

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Vbrick is Officially a Content Credentials Generator

Vbrick, the leading end-to-end enterprise video platform (EVP) provider, announced it has been recognized as an official Content Credentials Generator under the Coalition for Content Provenance and Authenticity (C2PA) Conformance Program. Becoming the first and only EVP to meet the program’s rigorous standards, this milestone positions Vbrick at the forefront of industry efforts to combat misinformation and protect content integrity.

As video becomes central to business communication, authenticity can no longer be assumed—it must be proven. Organizations are under growing pressure to verify content origins, track changes, and identify AI-generated elements. As generative AI and synthetic media accelerate, content integrity is now essential for compliance, brand protection, intellectual property, and trusted internal communication.

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To address these challenges, Content Credentials function as a “digital nutrition label” for media. Embedded directly into a video asset, they provide verifiable information about the content’s origin, history of edits, and the presence of AI-generated elements to deliver clarity and accountability throughout the content lifecycle.

The C2PA Conformance Program ensures that products correctly implement the Content Credentials specification and meet strict security requirements for generating and validating provenance data. Vbrick is among a small, select group of technology providers eligible to use the Content Credentials branding and the “Cr” pin within its platform.

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“Video is one of the most powerful and most complex forms of digital communication,” said Paul Sparta, Vbrick Chairman and CEO. “This achievement builds on Vbrick’s long history of innovation in secure video delivery. By adopting C2PA early, we’re helping enterprises get ahead of emerging risks and requirements, and we remain the only enterprise video platform actively leading in this space.”

As regulatory expectations and media risks continue to evolve, Vbrick’s leadership in C2PA positions the company not only ahead of the market but actively shaping its future.

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Superhuman Go Scales Agent Ecosystem With New Partner Agents From Box, Gamma, and Wayground

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Business Wire
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Qualytics Launches Data Control Layer to Govern Context for AI Systems

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Expanded capabilities bring enterprise knowledge, visual creation, and interactive learning directly into user workflows

Superhuman, the productivity platform bringing AI to wherever people work, announced the expansion of Superhuman Go’s AI agent ecosystem with three new partner agents from Box, Gamma, and Wayground (formerly known as Quizziz) and additional agents coming soon from Swoop by Prezi and more. The new agents accelerate the growth of Go’s open agent platform, bringing specialized capabilities like visual content creation and enterprise document access to users within the tools they rely on every day.

Superhuman Go adds new partner-built agents from Box, Gamma, and Wayground, bringing specialized capabilities to users within the tools they rely on every day.

What’s New in the Superhuman Agent Store

  • Partner-built agents from Box, Gamma, and Wayground are available now in the Superhuman Agent Store.
  • These agents bring enterprise document access, presentation creation, and interactive learning content across over 1 million apps and websites where Superhuman Go works.
  • Go’s open agent platform now spans communication, sales intelligence, visual creation, learning, compliance, and more, with dozens of first- and third-party agents.

Superhuman (formerly Grammarly) recently introduced Go as an AI productivity assistant that works in over 1 million apps and websites, allowing users to orchestrate a team of powerful first- and third-party agents that understand work context and provide proactive help. The platform launched in October 2025 with dozens of first-party connector agents, partner agents, and writing agents from Grammarly that help users access information, receive feedback, and improve their communication.

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While research shows that 88% of employees are using AI at work, most interactions remain limited to basic tasks like search and document summarization, and only 5% of employees use AI in more advanced ways to transform the way they work. Go helps close this gap by bringing together specialized AI agents that work across the tools employees already use, eliminating fragmentation and helping employees get more value from AI through proactive help and real-time context.

“By expanding our agent ecosystem, we’re making advanced AI assistance available to far more people in the tools they already use every day,” said Ko Mistry, VP of Partnerships at Superhuman. “Whether someone is creating a presentation, uncovering insights in company documents, or building interactive learning materials, Superhuman Go now connects these experiences through trusted partners like Box, Gamma, and Wayground. This momentum enables more employees to move beyond simple AI tasks and truly transform how they work.”

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New Agents Turn Work Artifacts Into Finished Outputs

The new partner agents represent a significant expansion in what Go users can create directly from their workflow.

  • Box: Connects document repositories directly into Go, allowing users to create new Box documents in the right folders and pull information from existing Box files to summarize, extract, and reuse knowledge instantly. Teams can easily find the latest version of documents and avoid re-creating work that already exists somewhere in scattered files while keeping Box as the single source of truth for document creation and reuse.
  • Gamma: The Gamma agent helps teams create polished presentations directly from their workflow without switching tools or manually rebuilding content in slides. Users can transform messy inputs like notes, docs, and meeting recaps into clear, structured presentation decks, going from raw thinking to shareable output in minutes without the constant rewriting and reformatting that typically drags down stakeholder updates.
  • Wayground: The Wayground agent lets users instantly create quizzes or flashcards from whatever content is on their screen. By using on-screen context, the agent transforms emails, documents, slides, or web pages into interactive learning materials in seconds, making it easy for teachers to create classroom-ready assessments and for learners to reinforce understanding without switching tools.

“Our customers rely on Box as their secure source of truth, and with Box AI they can unlock the power of their content in everyday work,” said Marc Fenner, Director of Strategic Partnerships at Box. “By collaborating with Superhuman to build an agent in Go, we are bringing Box content directly into AI-powered workflows, helping users find information, generate outputs, and take action without friction while maintaining the security and governance they expect from Box.”

“Everyone has ideas buried in notes, docs, and email threads that never make it out into the world,” said Grant Lee, Co-Founder and CEO of Gamma. “Gamma in Superhuman Go gives people a way to visually express those ideas right where they’re already working.”

Agents Work Together to Accelerate Real Workflows

The agents combine to support complex work scenarios across multiple tools.

  • Stakeholder presentations made faster: A marketing manager preparing for a stakeholder meeting can use the Gamma agent to convert meeting notes into a presentation deck, then retrieve supporting data from Box files without switching tabs.
  • Classroom content creation in seconds: A teacher reviewing a research article can ask the Wayground agent to generate a quiz from the on-screen content, creating classroom-ready assessments without leaving the document.
  • Project documentation without the search: A project lead can create new Box documents in the correct folders and pull information from past reports to build a summary without searching through file directories.

Scaling the Open Agent Platform

The new agents join a growing roster of partner agents available in Go, as well as connector and Grammarly writing agents, all designed to support different aspects of modern work.

Communication and feedback

  • Radical Candor®: Helps users navigate tough feedback moments with clarity and care based on Kim Scott’s best-selling framework.

Sales and customer intelligence

  • Common Room: Brings buyer intelligence from multiple channels directly into workflows with no context switching required.

Meetings and visual collaboration

  • Fireflies: Surfaces summaries, action items, and key decisions from past meetings so users can follow up faster and stay focused.
  • Napkin AI: Turns written content into visual frameworks that drive clarity and action.

Writing and compliance

  • Latimer: Combines internal data search with advanced bias detection to help users write with precision and fairness.
  • Saifr: Supports financial organizations crafting clear and compliant public communications with built-in detection of regulatory risks and suggested language alternatives.

Learning and research

  • Parallel: Verifies facts, suggests citations, and enriches work with real-time data for accuracy and credibility.
  • Quizlet: Converts essays and notes into flashcards with a single prompt, helping learners stay organized, save time, and quickly move from writing to studying.
  • Speechify: Enables listening up to 4.5 times faster with AI voices that make comprehension easier and more engaging.

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RAD Intel Launches Lickly, Bringing Real-Time Audience & Creator Intelligence to Mid-Market Brands

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Lickly

New AI-driven SaaS platform enters Beta, bringing enterprise-grade audience, creator, and content intelligence to mid-market brands

RAD Intel announced the beta launch of its new portfolio company, Lickly, a real-time SaaS platform built to give mid-market brands access to the same audience intelligence infrastructure traditionally reserved for enterprise teams.

Global advertising spend now exceeds $1T annually, and over 40% of that investment fails to reach the right audience or drive measurable outcomes. At the same time, digital culture has fragmented into thousands of fast-moving micro-communities across platforms, where attention and influence shift quickly. Large enterprises typically address this complexity with dedicated analytics teams and custom tooling. Most mid-market teams rely on delayed reporting and static creator databases that aren’t designed to keep pace with real-time audience behavior.

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Lickly brings a real-time, high-powered, AI-driven solution to mid-market and boutique teams that have been priced out of the enterprise tool stack. Creator marketing shouldn’t be a walled garden. Lickly is audience-first by design, starting with the people you need to reach, then mapping the creators, micro-communities, and content shaping what they trust and share. With data and insights that refresh in real time, teams can spot demand as it forms, pressure-test messaging before budget is committed, and adjust quickly as conversations shift.

“Two quarters ago, someone ran a great deodorant campaign and everyone copied it,” said Jeremy Barnett, Lickly co-founder and CEO of RAD Intel. “That’s not strategy, that’s lag. Lickly shows you what the same shopper is into now, what they’re pairing with deodorant, what they’re complaining about, and what they’ll switch for, down to the micro-communities where taste forms. That level of detail is where real positioning comes from.”

In beta, Lickly removes the slow, fragmented parts of creator marketing that drain time and budget. No more manual research sprints. No more static creator databases. No more guessing which creators actually match the audience you’re trying to reach. Teams get a live, audience-first view of the micro-communities driving attention, and a continuously refreshed read on which creators and messages are aligned as conversations shift.

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Unlike traditional influencer platforms that start with a creator list and work backward, Lickly starts with the audience. The system updates in real time, so brands aren’t making decisions off a snapshot that’s already outdated.

“Before Lickly, we relied on manual research to find and manage influencers,” said Kellee Khalil, CMO of EnergyX and Lickly beta customer. “Within minutes of onboarding, we had a ranked view of our top performers and a clear set of high-fit creators inside the communities that actually shape our reputation. The depth of real-time audience insight makes it easier to see where trust is strongest and where to lean in, which is already elevating the impact and authenticity of our marketing programs.”

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RAD Intel Launches RAD Amplify as Standalone Operating Company

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Rick Song Appointed CEO, Emily Duban Named President as Enterprise Demand for Real-Time Creator and Media Intelligence Accelerates

RAD Intel announced the launch of RAD Amplify as a standalone company, following several years of sustained growth serving Fortune 1000 brands and global agency networks. RAD Amplify will operate as a dedicated managed-services organization powered by RAD Intel’s real-time intelligence platform, helping advertisers make faster, more informed marketing decisions with precise audience and creator matching, and measurable performance outcomes.

RAD Amplify unites elevated creator strategy, audience intelligence, and media performance under one enterprise team, powered by RAD Intel’s real-time view into the online micro-communities shaping demand. The company helps advertisers make clearer decisions on messaging, creator partnerships, and content distribution—so budgets work harder and campaigns deliver measurable results. For senior marketing leaders, the focus is disciplined execution, fewer wasted cycles, and repeatable performance tied directly to business outcomes.

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“Enterprise teams are being asked to deliver more performance with less room for error, and demand is already here,” said Jeremy Barnett, CEO and co-founder of RAD Intel. “That’s why we’re bringing RAD Amplify to market now. With Rick Song and Emily Duban leading the business, we have proven operators at the helm – Rick scaling high-growth companies with discipline, and Emily earning trust with global brands through delivery. Together, they’ll lead go-to-market and ensure our intelligence translates into measurable, repeatable outcomes for enterprise teams.”

Rick Song has been appointed Chief Executive Officer of RAD Amplify. He brings more than 25 years of leadership experience across digital media, advertising, and technology, including executive roles at Nielsen, Rocket Fuel, iHeartMedia and Microsoft. Most recently, he served as President of Brand Innovators Strategy Group, where he partnered with RAD and saw its impact firsthand within enterprise marketing organizations.

“The marketing landscape has never moved faster or felt more fragmented,” said Rick Song, CEO of RAD Amplify. “The advantage now belongs to organizations that can act on real-time audience insight. RAD Amplify is uniquely positioned to help advertisers turn cultural intelligence into smarter, more accountable media and influencer investments.”

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Emily Duban will serve as President of RAD Amplify, having led revenue and delivery across RAD Intel’s largest brand activations, including enterprise, global agency, and holding company relationships, working directly with teams responsible for high-stakes, multi-market decisions. In her new role, Duban will lead enterprise expansion. She brings the creative and commercial discipline behind some of the most awarded GTM programs in the market, along with a track record of turning strategy into repeatable outcomes.

From the agency side, partners are using the shared intelligence layer to strengthen campaigns before they go live. “Much of the industry is still making significant decisions based on static dashboards and historical reports,” said Erin Lanuti, a Principal at Vecrin and former Chief Innovation Officer at Omnicom PR Group. “The challenge is that audiences don’t behave in quarters, they evolve in real time, often post by post. Strategy built on legacy data inevitably falls behind behavior. RAD Amplify was designed to address that gap, delivering real-time, post-level intelligence that reflects how audiences are actually engaging , not how they engaged last quarter.”

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Compliance Scorecard Introduces Governed, Audit-Ready AI for MSP Compliance

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Compliance Risk Scorecard

Platform delivers defensible AI built on real MSP operating context

introducing governed, audit-ready AI designed to support defensible compliance decision making for managed service providers (MSPs).

They don’t know which controls apply to healthcare vs defense, or which MSP tools actually support requirements like CMMC. We rebuilt the platform around defensible compliance decision making so AI can reason within the realities MSPs actually operate in.

Unlike traditional GRC platforms or ungoverned AI tools, Compliance Scorecard v10 applies AI only within a structured system of validated context and controls. The platform is built on a simple premise: AI can only be trusted in compliance if the required context already exists. As a result, v10 treats AI as a governed system of decision support, not a conversational interface.

The release addresses growing expectations from regulators, cyber insurers, and enterprise clients that AI-assisted compliance workflows remain explainable, auditable, and accountable in real operating environments.

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“Most AI tools don’t understand GRC,” said Tim Golden, founder and CEO of Compliance Scorecard. “They don’t know which controls apply to healthcare versus defense, or which MSP tools actually support requirements like CMMC. We rebuilt the platform around defensible compliance decision making so AI can reason within the realities MSPs actually operate in.”

At its core, v10 applies AI using real operational context including tools, configurations, policies, and control relationships rather than assumptions or black-box logic. The result is AI-assisted compliance that MSPs can inspect, customize, and defend over time.

That context is powered by Compliance Scorecard’s long-standing core platform and MSP-driven workflows, developed years before AI functionality was introduced. This includes the publicly accessible Vendor Tool, which catalogs more than 1,200 tools across nearly 800 vendors, with over 200,000 normalized mappings aligned to 100+ regulatory and security frameworks. These validated mappings form the foundation that allows AI outputs to remain grounded in real evidence.

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“As AI use accelerates across IT and security operations, stakeholders expect compliance decisions to be defensible in real environments,” Golden added. “We designed an AI system that reasons about governance based on validated context delivering accountability, transparency, and trust.”

Compliance Scorecard v10 was built with internal AI governance controls from the start and supports a Bring Your Own Key (BYOK) model. MSPs can integrate AI providers such as OpenAI, Microsoft Azure, Anthropic, or Google without locking into a single model or surrendering control over data. AI is optional, not required, allowing providers to adopt AI-assisted workflows at their own pace while maintaining full platform functionality.

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Typewise Introduces Multi-Agent Orchestration to Bring Enterprise AI Customer Service Into Production

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Typewise Introduces Multi-Agent Orchestration to Bring Enterprise AI Customer Service Into Production

Groundbreaking AI Supervisor Engine coordinates agents built with natural language to resolve complex customer service cases, and manage human handoffs for fast and accurate resolutions

Typewise, an AI Agent Platform for enterprise customer service teams, announced the launch of its groundbreaking AI Supervisor Engine, a multi-agent AI orchestration layer that coordinates multiple autonomous agents configured with natural language to achieve customer service goals.

While enterprises race to deploy AI agents in customer service, most efforts stall before reaching production. Only 1 in 10 agentic AI pilots make it to live CX environments, due to lengthy implementation times, complex IT integrations, and ‘coordination debt’. Typewise now closes that gap on two fronts. It enables customer service teams to build and modify an AI agent’s complex workflow using plain English, without writing a single line of code. Secondly, its multi-agent orchestration allows enterprises to automate at scale with teams of autonomous agents, while maintaining control, auditability, and human oversight.

The Y Combinator-backed startup, which has already assisted Fortune 500 companies, including Unilever and DPD, in saving more than 50% in service time with AI customer service agents and text-prediction models, can now manage and supervise teams of AI agents handling inbound service requests via email, chat, or messaging for fast and accurate resolution.

“Agentic AI in customer service fails not because the models are weak, but because coordination breaks down in real enterprise environments,” said David Eberle, co-founder and CEO of Typewise. “Based on deploying AI customer service agents across more than 50 enterprises, we’ve seen that customer service is never a single action: it’s data retrieval, system updates, approvals, and human judgment. “Our AI Supervisor Engine was built to manage these collaborative, real-world workflows.”

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From Singular AI Agents to Specialized AI Service Teams

Unlike most AI-enabled customer service automation, which relies on rigid flows or single large language models, Typewise’s approach uses multiple specialized agents, each configured using no-code, natural language, and optimized for a specific role:

  • Specialist Agents: understand customer intent and manage the overall resolution process
  • Knowledge Agents: retrieve relevant information from internal systems, knowledge bases, as well as, Word and Excel files
  • Action Agents: securely execute actions across business systems such as CRM, ERP, and ticketing tools: within defined guardrails

All agents are coordinated by an AI Supervisor, which orchestrates sequencing, enforces policy controls, and escalates to human agents when approvals or judgment calls are required. Each agent’s routing can be configured to match existing business logic. For instance, IT tasks are sent to the ITSM or customer care tasks in the CRM.

This architecture allows Typewise customers to automate complex scenarios such as subscription changes, delivery and order inquiries, and billing or payment disputes, use cases that typically break single-agent or rules-based automation.

Beurer – the global brand for “healthy. life. style.”– is an early beta customer, adopting Typewise’s AI Agent Platform and AI Supervisor Engine after a pilot with a legacy provider stalled due to high costs and integration friction. By adopting Typewise’s self-service model, Beurer eliminated its reliance on external integrators. Today, the platform captures customer interaction data, generates automatic summaries, and routes complex cases to human agents via Salesforce Omni-Channel to maximize productivity.

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“Typewise provided the flexibility and speed of implementation we couldn’t find with larger, single-vendor stacks,” said Heike Hocks, Customer Care Lead at Beurer. “With their natural language configuration, our team can immediately create and test multi-agent workflows. We’ve moved quickly from a pilot to a live production environment where AI agents triage inbound customer inquiries, create tickets, and route to the appropriate agent, allowing our human agents to focus entirely on problem-solving.”

Built for Multi-Agent Management, Not Just Automation

Typewise’s multi-agent orchestration is designed for real-world customer service environments:

  • No-Flow Orchestration: Teams configure AI behavior using natural language, without coding or brittle decision trees
  • Rich Policy Controls: Step-by-step automation with simulation, gradual rollout, and full governance
  • Deep Integrations: 200+ enterprise integrations across CRM, ERP, ticketing, and messaging platforms such as Salesforce, SAP, Microsoft Dynamics 365, Zendesk, and ServiceNow
  • Hybrid Intelligence: Seamless AI-to-human hand-offs embedded directly into existing CRM workflows
  • Fast, Secure Deployment: Go live in 1–2 days with secure, ISO-certified, GDPR-compliant infrastructure

Typewise’s AI Supervisor Engine is available immediately as part of Typewise’s AI Agent Platform. Enterprises can deploy with outcome-based pricing, no implementation fees, and a free proof-of-value program that demonstrates ROI within weeks.

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Elastic Introduces Best-in-Class Embedding Models for High Performance Semantic Search

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Elastic Introduces Best-in-Class Embedding Models for High Performance Semantic Search

Elastic Search Home

New Jina AI small language models deliver unmatched quality and efficiency on search and semantic tasks

Elastic , the Search AI Company, announced the availability of jina-embeddings-v5-text, a family of two small, Elasticsearch-native multilingual embedding models at 0.2B and 0.6B parameters that deliver state-of-the-art performance across key search and semantic tasks.

Despite their compact size, they outperform significantly larger models with 7B to 14B parameters and achieve best-in-class results on the MMTEB (Multilingual MTEB) benchmark among models of comparable size and purpose. Their small footprint enables outstanding hybrid search at lower infrastructure cost, faster query response, and new deployment scenarios where memory and compute budgets are tight – including edge devices and resource-constrained environments.

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jina-embeddings-v5-text are available through multiple channels: as open-weight models on HuggingFace for self-hosted deployment via vLLM, llama.cpp, or MLX, and on Elastic Inference Service (EIS), a GPU-accelerated inference-as-a-service that makes it easy to run fast, high-quality inference without complex setup. By bringing the Jina v5 family to EIS, users get a complete data platform that consolidates state-of-the-art multilingual embedding models, a high-performance vector database, and more into one unified enterprise stack across cloud and on-premises.

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“Vector search, RAG, and AI agents depend on high-quality retrieval,” said Steve Kearns, general manager, Search, Elastic. “With the addition of the Jina v5’s multilingual embeddings, Elasticsearch continues to be the platform of choice for end-to-end context engineering.”

The family includes two models, jina-embeddings-v5-text-small (239M parameters) and jina-embeddings-v5-text-nano (677M parameters). Both models are optimized for four common tasks in search and agentic applications:

  • Retrieval: Allowing users to query with natural language and find the most relevant documents
  • Text Matching: Allowing users to find duplicates in their data, and align paraphrases or translations
  • Classification: Allowing users to categorize documents, detect sentiments, and find anomalies
  • Clustering: Allowing users to group documents by topic, subject, or meaning

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GoWit Announces Partnership with Publicis Media Middle East to Scale Commerce & Retail Media Across MENA & Türkiye

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GoWit Announces Partnership with Publicis Media Middle East to Scale Commerce & Retail Media Across MENA & Türkiye

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GoWit, the leading AdTech provider, and Publicis Media Middle East, part of the French multinational advertising and communications holding company Publicis Groupe, announced a strategic Commerce and Retail Media partnership across MENA and Türkiye.

This partnership brings together GoWit’s cutting-edge AI-first Retail Media technology, GoWit One, with Publicis Media’s regional scale, advertiser demand, and strategic expertise, accelerating the operational efficiency of Retail Media for retailers, agencies, and brands.

By integrating Publicis Media’s portfolio of global and local brands into GoWit’s premium Retail Media inventory, the collaboration creates a high-velocity connection between brands and shoppers across key markets, including Saudi Arabia, UAE, Egypt, Lebanon, Iraq, and Türkiye.

Connecting Brands with High-Intent Shoppers Across Key Markets

This strategic alliance enables advertisers to launch multi-market campaigns with unprecedented speed and intelligence.

By engaging high-intent audiences at the point of purchase, specifically within FMCG, electronics, and home improvement, brands can drive measurable outcomes in the region’s fastest-growing digital environments.

GoWit’s retail partners gain access to incremental demand from Publicis Media’s ecosystem, accelerating monetization and maximizing the performance of premium placements.

Commenting on the partnership, Tony Wazen, CEO, Publicis Media Middle East said, “Retail Media in MENA and Türkiye is entering a more mature phase, where long-term value will depend not only on technology, but also on strong operating models, governance, and execution discipline. Our partnership with GoWit reflects our focus on helping build a more structured and scalable environment for brands and retailers across the region.”

On the strategic importance of the collaboration, Emrah Adsan, Co-Founder and CEO of GoWit added, “This partnership brings together world-class demand and next-gen Retail Media technology. Together with Publicis Media, we’re building a truly unified and intelligent Retail Media ecosystem for MENA and Türkiye.”

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“This collaboration reflects our ambition to lead the evolution of Commerce and Retail Media across high-growth markets. By combining advanced AI-powered technology with our regional scale and commercial expertise, we are enabling retailers to unlock new revenue streams and empowering brands to drive measurable growth. It is a strategic step toward building a more consolidated, connected, and sustainable Retail Media ecosystem across MENA,” added Mazen Mroueh, Head of Retail Media & Partnerships at Publicis Media.

Activating Omnichannel Retail Growth Across On-site, Off-site, and In-Store Ads

The partnership enables retailers and agencies to move toward a truly omnichannel Retail Media strategy, seamlessly connecting on-site, off-site, and in-store.

It also supports identity-led activation through Publicis Media’s Core ID solution, ensuring privacy-safe targeting in high-intent retail environments. Together, this collaboration allows brands and retailers to:

  • Reach addressable audiences closer to conversion
  • Measure performance in a closed-loop, privacy-safe environment
  • Build more connected and scalable omnichannel Retail Media campaigns

Publicis Media Becomes GoWit One’s Pilot Agency Partner in MENA

At the center of the partnership is GoWit One, GoWit’s AI-powered, agentic AdOps platform designed to solve one of Retail Media’s biggest challenges: fragmentation. The system brings multiple retailers, markets, and campaigns into a single unified ecosystem, replacing slow, manual workflows with intelligent automation.

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As the exclusive pilot agency partner for GoWit One in the MENA region, Publicis Media will leverage the platform to manage campaigns end-to-end, eliminating up to 98% of the manual AdOps work typically required to operate across multiple networks.

“This partnership strengthens our vision of building a centralized Commerce Command Center across MENA, bringing together campaign excellence, digital shelf intelligence, and AI-powered optimization under one unified framework,” said Chirag Galundia, Head of Commerce at Publicis Media.

“Through GoWit One’s AI-driven ecosystem, we move past the complexities of manual campaign management, allowing our partners to focus on high-impact strategy and rapid scaling with a single solution,” added Cemil Toksöz, CSO at GoWit.

“Our partnership with Publicis Media is a significant milestone in this journey; together, we are making Retail Media across the region smarter and faster to execute, providing a vital strategic advantage in the dynamic markets of MENA and Türkiye.”

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Aligned Automation and Magi Form Strategic Collaboration to Deliver Cognitive Advantage for Enterprises

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Aligned Automation and Magi Form Strategic Collaboration to Deliver Cognitive Advantage for Enterprises

Aligned Automation, a global AI-powered professional technology services company, and Magi , the company behind the StyxAI cognitive intelligence platform, announced a strategic collaboration to help enterprises build cognitive advantage, enabling leaders to act with clarity, speed, and conviction across growth, risk, and geopolitical complexity.

“Automation and analytics are table stakes. True advantage comes from the ability to interpret complex signals, eliminate the need for teams to repeatedly verify and validate information, and make confident decisions at critical moments,” said Nitin Ahuja, CEO and Founder of Aligned Automation.

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The collaboration brings together Magi’s StyxAI platform, a purpose-built small language model platform curated through more than 20 years of application in government and mission-critical environments, and Aligned Automation’s proven execution discipline and outcomes-first delivery model. Together, the companies embed cognitive intelligence directly into enterprise decision workflows, reducing noise and enabling measurable, sustained impact.

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“AI has entered an accountability phase,” said Richard Davis, CEO of Magi. “Boards and executive teams are no longer asking, ‘What can AI do for me?’ They are asking whether AI can deliver the business advantage needed to compete in today’s economic environment and sustain long-term competitive advantage.”

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PromotEdge Launches PromotEdgeDigital.com, Expands into North America

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PromotEdge Launches PromotEdgeDigital.com, Expands into North America

India-rooted digital agency strengthens presence in Texas and Canada, supporting manufacturing, D2C, exports, and emerging tech brands.

PromotEdge, the performance-focused digital marketing and branding agency entering its 11th year of operations, officially launched its global platform, PromotEdgeDigital, backed by expanded offices in Texas and Canada. The move builds directly on over a decade of helping brands move from local success to international scale. With physical presence now on both sides of the U.S.-Canada border, the agency is better positioned to support North American clients while giving Indian and export-driven businesses a stronger bridge into these high-growth markets. Since its founding, PromotEdge has quietly become a go-to partner for companies in manufacturing, construction equipment, exports, real estate, technology and early-stage AI. Through its original India-based platform, PromotEdge.com, the agency has guided brands from first website to full international digital ecosystems. Recent clients include construction equipment platforms Desi Machines and Dozco.com.au, Austin real estate specialist SiliconHillsRealtyATX.com, export leader SaraExim.co, active led display manufacturer LedXTechnology.com, and AI-focused startups Honest Ai Engine and Prezent from USA.

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The agency is known for building fast, conversion-obsessed websites on WordPress, Shopify, Laravel, React and Next.js—each one engineered for real user journeys and measurable growth. These digital foundations are then layered with performance marketing, e-commerce acceleration, marketplace strategies, lead-generation systems and thoughtful social media management that actually builds communities, not just followers. With AI rapidly changing how people search and buy, PromotEdge has moved well beyond traditional SEO. The agency now specializes in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), ensuring brands stay visible in both Google results and the new wave of AI-powered discovery tools.

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“2025 was an incredibly meaningful year for us,” said Saurav Agarwal, Founder and CEO of PromotEdge. “We deepened long-standing client relationships, helped scale DesiMachines significantly, and saw international growth come through strong referrals. I’m especially grateful to a close friend in Canada and family in the United States who made this next chapter possible. Becoming a father this year gave everything even deeper purpose. I’m thankful every day for the journey so far. As travel to North America becomes more frequent, having a true local presence will make all the difference—cultural understanding builds trust faster than anything else.”

Looking ahead to 2026, PromotEdge plans to grow its team with professionals aligned to Western time zones and invest in expanded office infrastructure to meet rising demand from both sides of the Atlantic.

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Shirofune to Present at eTail West 2026, Showcasing AI-Driven Retail Media Automation

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Shirofune to Present at eTail West 2026, Showcasing AI-Driven Retail Media Automation

Digital advertising automation platform returns to Palm Springs as sponsor and summit host, highlighting real-world AI client success

Shirofune, a leading digital advertising automation management platform, announced it will present and attend eTail West 2026, taking place February 23–26, 2026 at the JW Marriott Desert Springs Resort & Spa in Palm Desert, California. As part of its presence, Shirofune will host a Summit Day session on Monday, February 23, titled “The New Frontier in Ad Optimization: Stop Bidding on ROAS. Bid on Customers Who Actually Spend.”

The Summit Day session will explore how AI-powered automation and cross-channel optimization can drive profitable growth across search, social, marketplace, and retail media channels, with a focus on U.S. advertisers and agencies and on operationalizing new-to-brand strategies at scale. Shirofune will highlight how its platform automatically adjusts bids and budgets based on conversion performance, helping teams scale acquisition-focused segments without adding manual workload or sacrificing visibility into long-term value.

In “The New Frontier in Ad Optimization: Stop Bidding on ROAS. Bid on Customers Who Actually Spend,” Shirofune will walk through a real-world client example to show why ROAS is easy to optimize but a weak signal for sustainable growth. The session will unpack how ROAS-driven bidding often pulls spend toward low-risk, low-value shoppers while under-investing in high-value customers who drive profit and lifetime value. Attendees will see how brands are using automation and customer value signals to shift from metric optimization to customer-centric growth and why who you bid on matters more than what you bid on.

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“Retail teams tell us they’re drowning in platforms, reports, and point solutions, but what they really want is a single system that ties media spend to profit and customer growth,” said Mitsunaga Kikuchi, Founder and CEO of Shirofune. “Shirofune was built for that reality, and at eTail West we’ll once again show how our automation unifies search, social, and retail media into one plan that constantly reallocates budget, protects margins, and frees teams from manual campaign work so they can focus on strategy. This includes new-to-brand acquisition plays that may look less efficient on paper but drive higher lifetime value.”

As a sponsor, Shirofune will also be available onsite for one-on-one conversations and demos with retailers and brands looking to:

  • Consolidate cross-channel campaign management into a single, easy-to-use interface and standardize optimization workflows across multiple brands and accounts.
  • Automate budgeting and bidding to improve efficiency while protecting margins with acquisition vs. retention budget controls that keep spend aligned with growth targets instead of drifting toward only existing high-intent users.
  • Shift success metrics from short-term ROAS to long-term value, new-customer growth, and profitability, ​​supported by client-ready reporting that clearly differentiates pure ROAS optimization from incremental new-to-brand strategies.
  • Reduce manual workload so lean teams can focus on strategy, testing, and insights, while Shirofune automates cross-campaign optimization, reallocating spend toward segments and placements more likely to drive incremental (new-to-brand) conversions and enabling faster testing cycles without heavy operational lift.

Shirofune’s participation at eTail West 2026 highlights its commitment to helping U.S. marketers navigate an increasingly complex retail media and performance marketing landscape with pragmatic, automation-first tools that make new-customer acquisition strategies repeatable, measurable, and scalable for agencies and in-house teams alike.

Founded in 2014, Shirofune is an automated advertising management tool that maximizes the efficiency and productivity of major digital advertising platforms. The Shirofune platform is designed to enhance advertising effectiveness by automating day-to-day digital ad campaigns through a single, easy-to-use interface. Over 10,000 accounts have been automated using Shirofune, including 300,000 active ad campaigns. Shirofune has been selected as the only Yahoo! Ads API-certified partner tool in Japan.

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Snowflake Cortex Code Expands Towards Supporting Any Data, Anywhere

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Snowflake Cortex Code Expands Towards Supporting Any Data, Anywhere

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  • Cortex Code CLI extends beyond Snowflake workflows to support popular data systems starting with dbt and Apache Airflow®, delivering AI assistance across environments, regardless of where that data lives

  • Developers can apply Snowflake’s secure, context-aware AI coding agent directly within their environments to build and optimize data pipelines more efficiently

  • Cortex Code CLI now provides a self-service monthly subscription for customers and teams not yet running on Snowflake so anyone can start driving impact immediately

Snowflake , the AI Data Cloud company, announced that Cortex Code CLI, Snowflake’s AI coding agent for local development environments, is expanding beyond Snowflake-native workflows towards supporting any data source across systems, starting with dbt and Apache Airflow®1 (now generally available). With this extended support, developers unlock secure, context-aware AI assistance within their preferred data engineering systems — empowering teams to work with data wherever it lives, and build, manage, and optimize production-grade workflows more efficiently.

Modern data stacks span multiple systems, making data engineering workflows increasingly complex and resource-intensive. When pipelines break, hidden costs compound, leading to lost productivity, operational friction, and eroded data confidence — slowing the path to business value. By expanding support to dbt and Apache Airflow workflows, Cortex Code CLI helps teams simplify and accelerate development directly within the tools they already use, while maintaining enterprise-grade controls and oversight. This empowers developers to build on their data faster, reduce manual work, and improve code quality to deliver business value from data and AI faster.

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“Developers don’t operate in a single system, and AI coding assistants shouldn’t either,” said Christian Kleinerman, EVP of Product, Snowflake. “Modern data work spans multiple systems, teams, and workflows — and the tools we build have to reflect that reality. By extending Cortex Code CLI beyond Snowflake, we’re advancing our mission to provide developers with a context-aware agent that understands and works across their entire data ecosystem. By making adoption seamless, we’re meeting developers where they are on their AI journey.”

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“Cortex Code is transforming how we approach agentic analytics at Braze,” said Spencer Burke, SVP of Growth, Braze. “Its native understanding of our datasets, schemas, and columns means our engineers spend less time wrestling with context and more time getting precise, actionable outputs. We’re deploying it against more complex data integrations and using it to automate and enrich our insights layer, turning structured analytics into something more dynamic, expressive, and powerful.”

Extending AI-Powered Development Across Data Engineering Systems to Improve Productivity

Since launching Cortex Code in November 2025, Snowflake has already seen strong adoption with over 4,400 new users — underscoring the growing demand for streamlined, developer-first tooling that simplifies and accelerates development. Teams are rapidly embracing Cortex Code to move faster with greater confidence, turning complex, multi-system workflows into enterprise-ready outcomes.

Snowflake is enabling teams to bring consistent, secure AI-powered development to the tools they already use. This allows organizations to standardize AI across the development lifecycle and improve the efficiency and reliability of production data pipelines.

With this new release, developers unlock:

  • Support for dbt and Apache Airflow workflows: Assisting with model development, debugging, and optimization across data transformation and workflow tools
  • Expanded AI model choice: Enabling customers to select leading models, including Claude Opus 4.6 and OpenAI GPT-5.2, to balance quality, latency, and cost based on workload requirements, with continued support for the latest frontier models as they become available
  • New administrative controls and governance: Providing enterprise features to manage access, usage, and policy enforcement across teams

“Cortex Code has transformed solution development at evolv Consulting by providing a direct, context-aware connection to the Snowflake ecosystem, allowing our team to interact seamlessly with databases, objects, and git repositories,” said Trent Foley, Chief Technology Officer, evolv Consulting. “By leveraging the most advanced models available, such as Opus 4.6, Cortex Code can essentially ‘do anything’ through its CLI version, from full-featured React app development to complex data engineering tasks. This translated into over 500 hours in time saving – roughly $100,000 in value – in just the first 20 days of adoption.”

Making Cortex Code CLI Accessible to Any Developer, Across Any Environment

To make Cortex Code CLI accessible to any developer and enable teams to realize value regardless of their environment, Snowflake is introducing a new subscription plan that operates independently of Snowflake compute and consumption — lowering the barrier to entry for any developer team. This marks Snowflake’s first standalone subscription model, offering a seamless, self-service path for developers to begin using Cortex Code CLI, without requiring an existing Snowflake deployment. This approach enables teams to experiment, iterate, and apply AI-powered development across their data workflows with minimal overhead.

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Cloudinary Launches Creators Community for Developers Worldwide

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Cloudinary Launches Creators Community for Developers Worldwide

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Connect with developers globally, access free courses and resources, and build the future of visual experiences—now live with ‘Cloud to Crowd’ curriculum and 5 nonprofit partners

Cloudinary, the image and video platform powering many of the world’s leading brands, launched the Cloudinary Creators Community, a global network where developers connect, learn, and build the future of visual experiences. The community provides developers worldwide with free courses, hands-on projects, certification programs, and a collaborative space to advance their skills in image and video optimization. The inaugural offering, the “Cloud to Crowd” course, “Media IQ for Developers with Next.js”, teaches developers to build and optimize visual media at scale.

“Partnering with Cloudinary allows us to empower creators and developers in an area that’s rarely taught, but deeply essential in digital products,” said Anubha Maneshwar, Founding Director of GirlScript Foundation

Expanding Access Through Nonprofit Partnerships

To maximize reach and impact, Cloudinary has partnered with five international tech-focused nonprofits to deliver training through structured cohorts and bootcamps. These partnerships enable the community to scale efficiently while supporting developers from diverse backgrounds.

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The founding nonprofit partners are:

  • Developers in Vogue from Ghana that aims to create a community of African women who are passionate about using tech to revolutionize Africa and beyond.
  • GirlScript from India that started as an effort to make quality education accessible to everyone and now counts with a community of more than 500,000 learners.
  • Hack Your Future from Denmark, a tech learning program for asylum seekers, refugees and others facing barriers to the Danish educational system and job market
  • Tampa Devs from the US, the fastest-growing nonprofit community for software developers in Tampa Bay.
  • Vets Who Code, a US-based nonprofit organization that provides free technical training to veterans.

Media Literacy and Practical Education

The program offers structured bootcamps and certifications to help developers, designers, and builders worldwide master the visual web. Participants gain access to a dedicated Discord environment, where they can attend expert webinars, collaborate on open-source projects, learn from real-live use cases, build their portfolio and receive mentorship.

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“The Cloudinary Creators Community is a practical learning environment, not a marketing initiative,” explains Jen Looper, Director of Developer Relations at Cloudinary. “It offers members the opportunity to acquire valuable skills for tackling complex, high-volume image and video management challenges. These skills are essential in visual economy and give participants the practical expertise to help them advance their careers, no matter where they are based.”

“We’re excited to be one of the first nonprofits from India to collaborate with Cloudinary on this initiative,” said Anubha Maneshwar, Founding Director of GirlScript Foundation. “Media APIs and developer-first infrastructure are incredibly powerful yet underrepresented in education, and this partnership helps us bring these skills to a wider community of creators and developers. At GirlScript Foundation, we believe in opening up access to niche, high-impact technologies. Partnering with Cloudinary allows us to empower creators and developers in an area that’s rarely taught, but deeply essential in digital products.”

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Latest Mindbreeze Survey Shows Enterprise GenAI Confidence Shifts From Hype to Execution

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Latest Mindbreeze Survey Shows Enterprise GenAI Confidence Shifts From Hype to Execution

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C-suite optimism remains high, but implementation readiness, ROI proof, and governance challenges temper enterprise adoption

Mindbreeze, a leading global provider of AI-based knowledge management solutions, announced the results of its 1H 2026 GenAI Confidence Index Report. The study reveals a pivotal shift in how global enterprises view Generative AI: from early enthusiasm toward disciplined, execution-focused adoption. While senior executives continue to express confidence in GenAI’s long-term strategic value, the report shows that organizations are increasingly cautious about their ability to implement these technologies at scale and translate pilots into measurable business outcomes.

“Enterprises are no longer debating whether GenAI matters. That question has been settled,” said Daniel Fallmann, CEO and founder of Mindbreeze. “What’s changed in 2026 is that leaders are demanding proof. Confidence now hinges on execution: data readiness, governance, integration, and demonstrable ROI and ability to scale.”

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Click here for the full report

Insight: Mid-Range ROI Expectations Expand

  • Mid-tier ROI ratings (4–6) increased from 14 percent to 35 percent over the same period.
  • This indicates a shift from optimistic certainty toward conditional and use-case-specific ROI expectations.

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Insight: Operations Emerges as the Primary Value Target

  • Operations-related benefits rose from 7 percent in 2H’25 to 25percent in 1H’26, the largest increase among all functions.
  • Organizations are refocusing GenAI on efficiency, cost control, and internal productivity rather than experimentation.

Insight: Perceived Lack of Benefit Declines Sharply

  • Respondents citing “Don’t see a benefit” fell from 12 percent to 4 percent.
  • The market broadly accepts GenAI’s potential, with hesitation centered on execution and economics rather than usefulness.

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KNOREX Validates AI Platform’s Ability to Convert National Digital Awareness Campaigns into Dealership Visits at Scale

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KNOREX Validates AI Platform’s Ability to Convert National Digital Awareness Campaigns into Dealership Visits at Scale

Black Friday automotive deployment demonstrates high-performance execution and cost efficiency during one of the year’s most competitive retail periods

KNOREX Ltd. (“KNOREX” or the “Company”), a leading provider of AI-driven programmatic advertising solutions, announced results from a large-scale automotive campaign demonstrating how its unified AI-powered XPO platform converts national digital awareness campaigns into dealership visits at scale.

The initiative was conducted with a leading U.S.-based automotive digital engagement and reputation management platform serving thousands of dealership rooftops nationwide, reinforcing KNOREX’s growing presence in the automotive vertical and its ability to support enterprise-scale, multi-location advertisers.

The campaign was executed during the highly competitive Black Friday retail period—one of the most demanding advertising environments of the year—where media demand intensifies and advertising costs typically rise sharply.

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High-Performance Full-Funnel Execution

Across more than 106 million impressions, XPO coordinated high-impact video engagement with performance-driven display activation designed to convert digital attention into dealership visits.

Campaign Highlights:

  • 6.9+ million video interactions delivered at national scale
  • Engagement rates reaching up to 28%, supported by dynamic creative optimization to sustain audience relevance
  • 54,000+ tracked offline dealership visits, directly linking digital engagement to physical showroom traffic
  • Display CPMs maintained below $2.50 and video CPMs between $3.40 and $4.20 during peak seasonal demand
  • Cost-per-acquisition below $4 for dealership visits

The XPO platform’s AI engine continuously optimized bidding, creative sequencing, and cross-channel budget allocation in real time. Automated decisioning enabled the campaign to maintain cost efficiency while scaling reach and sustaining engagement levels during peak competition.

KNOREX’s managed services team provided strategic oversight to align awareness objectives with measurable dealership outcomes.

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Expanding Demand for Measurable Automotive Advertising

Automotive advertisers are increasingly prioritizing media strategies that connect brand awareness directly to measurable customer acquisition and dealership traffic. As dealership networks navigate competitive promotional cycles and evolving consumer behavior, advertisers are seeking unified AI-driven platforms capable of delivering both scale and accountability.

“This campaign reflects the strength of our unified AI architecture and our ability to execute at national scale,” said Abhishek Kumar, Vice President of Product and Engineering of KNOREX. “Automotive advertisers are moving beyond engagement metrics and demanding measurable business outcomes. Our platform’s ability to convert awareness campaigns into dealership visits—while maintaining cost efficiency during one of the most competitive retail periods of the year—demonstrates the performance capability and scalability of XPO.”

KNOREX is seeing increasing demand within the automotive sector for AI-optimized advertising strategies that directly connect digital engagement to measurable dealership outcomes.

Positioning for Scalable Growth

The Company believes campaigns of this scale validate XPO’s ability to support enterprise-level automotive clients and multi-location dealership networks with measurable, performance-driven outcomes. As advertisers shift budgets toward accountable and AI-optimized media solutions, KNOREX expects continued opportunity to expand adoption of its unified platform across automotive and other multi-location retail verticals.

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Treasure Data Unveils Treasure Code, Bringing Agentic AI to Customer Data Operations

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Business Wire
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Treasure Data Unveils Treasure Code, Bringing Agentic AI to Customer Data Operations

Treasure Data Logo

Treasure Code introduces a unified agentic interface for executing all data operations, reducing the burden of operating a customer data platform (CDP)

Treasure Data announced the general availability of Treasure Code, an AI-native command-line interface transforming how teams operate the Treasure Data Intelligent Customer Data Platform (CDP). Treasure Code enables technical teams and AI agents to securely operate the entire Treasure Data platform as code, bringing DevOps discipline and automation to every part of the CDP.

Treasure Code enables technical teams and AI agents to securely operate the entire Treasure Data platform as code, bringing DevOps discipline and automation to every part of the CDP.

“We’ve never seen such organic adoption from an AI-native product at Treasure Data, with over a quarter of our customers embracing Treasure Code in a matter of days,” said Rafa Flores, Chief Product Officer at Treasure Data. “Our customers deal with incredible complexity and scale operating a CDP, often with upwards of hundreds of millions of profiles and trillions of data points processed. Treasure Code reduces the operational burden of data operations, enabling brands to manage a CDP with fewer resources and free teams up for strategic, high-impact work.”

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Treasure Code overview

As data platforms and CDPs grow more complex, relying on manual steps slows iteration and increases operational risk. Treasure Code is built for data engineers, platform teams, marketing operations, and advanced CDP users who need direct, programmatic control across data, customer workflows, and AI systems.

It provides an AI-native command-line interface that enables users to operate and automate data workflows, CDP configurations, customer journeys, and AI agents, augmented with Claude Code for natural-language-driven creation and iteration. By enabling AI-assisted iteration with human verification, Treasure Code helps improve operator productivity and reduce time to build and change data and CDP workflows.

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Key benefits include:

  • Execute tasks in natural language. Turn technical intent into production reality instantly by commanding data, segments, and workflows through natural language instead of complex SQL or CLI syntax.
  • Code-grade governance. Manage CDP configurations as version-controlled code with peer reviews and instant rollbacks.
  • Zero-friction operations. Consolidate fragmented consoles and scripts into one consistent command layer that automates deployments from development to production in seconds.

Customer adoption

Treasure Code has seen rapid adoption despite its infancy. Approximately one-quarter of the Treasure Data customer base is already utilizing it for technical operations.

“With Treasure Code, it feels like we’ve added a legion of data engineers to the team. I can describe what I want in plain language and get production-ready SQL, segments, and workflows in minutes.”

– Tomohiko Sugiura, Executive Vice President, Dentsu Digital

“Treasure Code is a transformative feature that fundamentally changes how we implement and operate our CDP. Historically, constructing data pipelines and workflows required highly specialized technical skills. With Treasure Code, however, we can now execute these tasks rapidly and easily using natural language. This allows even non-experts to maintain high-quality implementations, and we are eager to actively leverage this capability to accelerate our business. “

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MobiDev Unveils AI Sports App Development Services to Empower Digital Innovation in the Sports Industry

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PRNewswire
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MobiDev Unveils AI Sports App Development Services to Empower Digital Innovation in the Sports Industry

MobiDev, a software consulting & engineering company, announced re-invented Sports App Development Services focused on AI-driven solutions. This new offering enables sports organizations and startups to build digital experiences that boost athlete performance, engage fans, and streamline operations.

As the global sports technology rapidly evolves, demand is growing for innovative digital solutions, from athlete performance platforms and wearable companion apps to live sports streaming, team management systems, and sports marketplaces. With its new Sports App Development Services, MobiDev empowers clients to bring ambitious sports software visions to life, leveraging deep technical expertise, domain-specific insights, and a strong focus on real-world impact.

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Addressing Complex Challenges in Sports Technology

Developing advanced sports applications imposes technical and business demands, including real-time data processing, large-scale integrations, advanced analytics, multi-platform support, and security. MobiDev meets these through an end-to-end approach offering:

  • Complex AI Human Pose Estimation (HPE): Deliver performance insights and personalized training feedback using cutting-edge analytics and computer vision techniques.
  • Seamless Integrations & Real-Time Data Processing: Connect with wearables and third-party data sources, while ensuring uninterrupted user experiences.
  • Multi-platform Support & Offline Access: Reach users on mobile, web, and wearable devices, with functionality available even in low- or no-connectivity environments.
  • Scalable Architecture & Security First Approach: Build sports software that easily scales with demand and protects sensitive athlete data with industry-leading security measures.

Showcasing Real Impact and Diverse Use Cases

MobiDev’s sports portfolio spans a variety of solutions: from HPE-based comparative training apps and athlete performance tracking tools to wearables companion applications and training tools for youth sports. One of the most notable success stories includes the development of a Human Pose Estimation application, BeOne Sports, for professional young athletes, which delivered strong performance and recognition in the sports-tech space.

Clients’ use cases highlight MobiDev’s ability to tailor sports software for diverse audiences while meeting strict technical requirements, including scalability, security, and multiplatform compatibility.

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Comprehensive Process and Expert Team

MobiDev’s Sports App Development Services follow a structured, full-cycle process that includes onboarding, tech consulting, team allocation, development, testing, and launch support to ensure seamless execution and delivery of high-impact digital products. Clients also benefit from collaboration with seasoned engineers and dedicated project managers with experience in sports technologies and complex integrations.

“With the release of our Sports App Development Services, we are bringing a holistic and technically advanced capability that addresses the most pressing needs of sports organizations and innovators,” said Oleksii Ostroverkhyi, PhD, President at MobiDev. “Thanks to our profound expertise and experience in creating AI coach applications, we help businesses not only build high-quality software but also amplify their strategic impact by creating products that athletes, teams, and fans truly value.”

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