Wilma AI Is Wildix’s Answer to Frictionless, Actionable Communication

Unified Communications just got smarter—and more proactive. Wildix, a global UCaaS leader, has officially launched Wilma AI, a multilingual communication specialist built on its proprietary agentic AI framework. Already embedded across 2,000+ business environments, Wilma is designed not just to listen, but to act.

Think of Wilma as the AI teammate who handles what you don’t have time for: capturing call notes, updating CRMs, triggering workflows, and routing customer queries—all in real time, all within your existing communications channels.

The announcement builds on Wildix’s recent launch of its agentic AI platform, marking a shift from passive AI tools to autonomous, outcome-driven assistants embedded directly into workplace communications.

“Wilma represents the next step in how teams work alongside AI—reliably, securely, and without friction,” said Emiliano Tomasoni, CMO at Wildix. “She’s built to take action where it matters.”

Not Just a Bot—A Business Teammate

Unlike traditional AI assistants that require prompts and integrations, Wilma is always-on and context-aware. She operates across voice, chat, SMS, WhatsApp, and web, seamlessly executing tasks without manual handoff.

From scheduling follow-ups in healthcare to restocking inventory by voice command in retail, Wilma blends into workflows, translating real-time conversations into backend actions. Her functionality is powered by Wildix’s agentic framework—AI designed to understand context, make decisions, and autonomously execute tasks.

She’s also fluent in over 15 languages, meaning global teams can collaborate without hitting language barriers. Whether it’s French at the front desk or Spanish via WhatsApp, Wilma keeps communications fluid and culturally aligned.

Deployment in Minutes, Not Months

Wilma can be deployed without code via Wildix’s no-code studio or integrated into complex environments through open APIs. Her integration flexibility makes her suitable for SMBs and enterprise organizations alike, regardless of infrastructure maturity.

More importantly, Wilma is fully GDPR-compliant, ensuring that automation doesn’t come at the cost of security or privacy—a crucial factor for industries like healthcare, public services, and finance.

Where Wilma Is Already Making an Impact

Wilma isn’t in beta—she’s live, and she’s already saving teams hours every week across sectors:

• Healthcare: Automates after-hours scheduling, patient follow-ups, and insurance checks—freeing up clinical staff to focus on care.

• Retail: Restocks inventory and escalates incidents without screens or manager intervention—just voice.

• Professional Services: Logs meeting notes, updates CRMs, schedules tasks, and routes follow-ups in real time.

• Education: Coordinates enrollment and inter-department communications.

• Public Sector: Handles inquiries, surfaces internal policies, and escalates citizen issues instantly.

She also bridges online-to-offline (O2O) environments. For instance, a query submitted online can trigger real-time updates in a brick-and-mortar location’s system—ensuring continuity across digital and physical touchpoints.

The Bigger Picture: From Call Summaries to Conversational Action

Wilma’s real innovation isn’t just in understanding language—it’s in closing the loop between communication and action. She turns dialogue into data, and data into decisions. It’s a major leap forward in contextual AI, especially for UCaaS platforms trying to evolve beyond video calls and messaging.

With Microsoft, Google, and Zoom pushing AI integrations into their platforms, Wildix’s agentic AI approach carves a distinct niche—less chat, more action.

Get in touch with our MarTech Experts.

Fujitsu Taps AI Agents to Reinforce Global Supply Chains Against Uncertainty

Fujitsu Limited has unveiled a new AI-powered solution designed to help businesses make faster, smarter decisions when supply chains hit turbulence. Announced today, the technology is rolling out globally as part of Fujitsu Data Intelligence PaaS (DI PaaS) under the Fujitsu Uvance umbrella, the company’s cross-industry initiative to address large-scale societal and business challenges.

At the heart of this release is a simple premise: the traditional supply chain model can’t keep up with today’s disruptions. Whether it’s geopolitical tension, natural disasters, or volatile markets, manufacturers are under pressure to rethink how they analyze risk, adjust operations, and maintain continuity. Fujitsu’s solution, powered by AI agents and rapid data integration, is built to deliver that resilience.

“Our goal is to ensure that even in unpredictable scenarios, our customers can continue operating smoothly,” said Fujitsu in its launch announcement.

From Weeks to Days: Why Speed Matters

The new solution accelerates supply chain impact analysis—a process that often takes weeks—down to just a few days. That time compression could prove critical when responding to sudden crises, like a port closure or supplier shutdown.

Using DI PaaS’s powerful data ingestion capabilities, the system pulls from both internal and external data sources to rapidly identify which products, suppliers, or routes are at risk. Then, AI agents run simulations and propose countermeasures—everything from alternative sourcing strategies to pricing adjustments—making it easier for businesses to react in real time rather than after the damage is done.

The Three Pillars of Fujitsu’s Resilience Strategy

The new offering is built around three integrated components, all geared toward proactive decision-making:

1. Profit and Cost Structure Analysis

This module visualizes vulnerabilities across the global supply chain:

• Maps exposure of suppliers and factories to market shocks

• Highlights import costs by route and product

• Pinpoints risk in cost structures to inform continuity planning

2. Strategic Pricing Simulator

When costs shift, pricing must follow. This tool:

• Analyzes price elasticity to forecast demand changes

• Simulates price strategies to protect margins

• Helps adapt pricing dynamically to market volatility

3. Operational Change Simulator

A core part of continuity planning:

• Models the financial impact of switching suppliers or transport routes

• Uses AI agents to recommend cost-effective alternatives

• Orchestrates scenario-based simulations to aid BCP (Business Continuity Planning)

More Than Tech: A Sustainability and Resilience Play

This launch also reflects Fujitsu’s broader ambition to use digital transformation for resilience and sustainability. With AI, analytics, and automation, the platform not only helps clients navigate short-term disruptions but also supports long-term competitive edge by reducing waste, optimizing logistics, and making supply chains more adaptable.

In a world where just-in-time systems are being tested by just-in-case scenarios, having a system that can see around corners is no longer a luxury—it’s a survival tool.

And unlike many emerging supply chain technologies, Fujitsu’s solution is already live and scalable. It integrates seamlessly into existing ecosystems, helping manufacturers simulate, decide, and execute without overhauling their entire tech stack.

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Contify Unveils Athena: A Trusted AI Engine to Redefine Competitive Intelligence

In the era of AI-generated everything, enterprise leaders have a new reason to exhale. Contify, a pioneer in Market and Competitive Intelligence (M&CI), has launched Athena—its proprietary agentic AI insights engine designed to do what most generative AI assistants still can’t: deliver accurate, verified, and actionable intelligence.

Unlike ChatGPT, Gemini, or Perplexity—platforms criticized for hallucinations, fabricated sources, and context-blind responses—Athena is engineered for enterprise-grade decision-making. It cuts through the noise, continuously synthesizing market movements and competitor activity from millions of verified sources, both internal and external.

“With AI accelerating the pace of change, the demand for timely, reliable intelligence has never been higher,” said Mohit Bhakuni, CEO of Contify. “Athena automates the grunt work and delivers real insights—so intelligence professionals can focus on strategy, not search.”

More Than a Chatbot—It’s an Enterprise Brain

At the core of Athena is a proprietary Knowledge Graph, customized to an organization’s context. It doesn’t just search for keywords or regurgitate summaries—it connects the dots, mapping how developments in one market ripple through others, and how competitors’ moves signal future strategy.

Athena does what human analysts used to spend days doing:

• Tracks and interprets market signals

• Surfaces competitive actions in real time

• Connects disparate data points into strategic intelligence

• Packages it all in decision-ready formats for stakeholders

This makes it a force multiplier for lean M&CI teams under pressure to deliver insights fast, frequently, and accurately—without relying on unvetted content scraped from across the internet.

Why Athena Is Built for the Enterprise (and Generic AI Isn’t)

While generic AI tools are built for broad utility, Athena is purpose-built for precision. Most AI engines are trained on massive, uncurated datasets, and often hallucinate citations or misinterpret business nuances. That might fly in casual research—but not in the boardroom.

Contify’s solution is different:

• Zero hallucination tolerance: Athena operates with strict AI usage guardrails.

• Verified intelligence only: Insights are synthesized from trusted sources, curated by Contify’s robust data engine.

• Real-world accuracy: A 15-year legacy in intelligence delivery, with a workforce dedicated to data quality—half of Contify’s team are analysts or engineers refining inputs before AI gets to work.

A Competitive Edge for Competitive Intelligence

Athena gives M&CI professionals the gift of bandwidth and credibility. It acts as a trusted digital colleague, one that:

• Handles daily monitoring of 700,000+ companies and 100+ industries

• Summarizes relevant changes before your stakeholders ask

• Tailors outputs to roles—from sales enablement to strategy to executive briefings

Rather than replacing human analysts, Athena elevates them—allowing teams to shift from reactive data gatherers to proactive strategic advisors.

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Data and AI Firms Top M&A Targets as Buyers Prioritize Intelligence and Scale

According to a new market analysis by M&A advisory firm JEGI CLARITY, companies operating in Data & AI consulting and Business Intelligence (BI) and analytics are currently the most sought-after acquisition targets. The insights, drawn from direct conversations with strategic buyers and market experts, highlight a clear industry pivot toward data-driven transformation capabilities.

Buyers aren’t just after flashy AI labels—they want firms that deliver scalable, recurring-revenue services, demonstrate clear market leadership, and show vertical specialization in industries where data is mission-critical, such as healthcare, finance, and manufacturing.

“Companies that provide integrated, end-to-end data capabilities are being positioned as long-term digital transformation enablers,” the report states.

What Buyers Want: Beyond the Buzzwords

The study offers a sharp look at what separates attractive acquisition targets from the rest of the pack. Here’s what top buyers are actively seeking:

• Recurring Revenue Models: Predictability matters. Buyers want subscription-based or service-based firms that scale efficiently.

• Vertical Expertise: Firms that specialize in regulated, data-intensive industries are prized for their stickiness and domain knowledge.

• Tech Partnerships: Deep relationships with key software vendors (e.g., Snowflake, Microsoft, Databricks, Google Cloud) are a must.

• Workflow and IP Differentiation: Proprietary tools or unique delivery models that improve productivity or accuracy are highly valued.

• Global Reach, Local Relevance: Buyers favor firms with geographic flexibility and localized execution capabilities, especially across North America and Europe.

Notably, buyers are also gravitating toward "one-stop-shop" firms—those offering integrated strategy, implementation, and managed services. This makes them better suited to guide enterprise clients across multi-year digital transformation journeys.

The Market Is Moving: Now's the Time to Position

For data and AI consulting firms considering growth or exit strategies, the report underscores the importance of strategic positioning. Companies can maximize their attractiveness by:

• Investing in industry-specific use cases

• Tightening integrations with leading data platforms

• Prioritizing IP-driven service delivery

• Demonstrating success with enterprise-grade clients

• Showcasing measurable outcomes, not just capabilities

“There’s clear value being assigned to firms that bring more than technical know-how—they need to offer confidence, continuity, and strategic fit,” said one market expert interviewed in the study.

The full slide deck from JEGI CLARITY’s analysis, including buyer profiles and key valuation drivers, is available here.

This report arrives amid a wider shift in the M&A landscape: generic tech capabilities are no longer enough. In a post-GenAI world, organizations want partners that can interpret, implement, and innovate—at scale and with speed. The firms poised for acquisition success are the ones who translate data into transformation.

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K-Pop Meets Web3: Abstract and Modhaus Team Up to Launch Fan Engagement Platform ‘Cosmo’ Onchain

In a bold move at the intersection of blockchain and global pop culture, Abstract, a consumer-first blockchain platform, has announced a strategic partnership with Modhaus, the innovative K-pop agency behind tripleS, ARTMS, and idntt. The collaboration brings Modhaus’s interactive fan platform Cosmo onto the Abstract blockchain, making it one of the most significant integrations of Web3 tech into mainstream entertainment to date.

For fans, it could be the moment where Web3 finally goes mainstream—without the baggage.

Cosmo, which lets fans vote on group decisions, collect digital photocards, and complete quests for exclusive content, is now powered by Abstract’s invisible blockchain infrastructure. The result: users experience faster performance, intuitive onboarding (via email or Face ID), and zero crypto complexity—all while engaging in a fully onchain ecosystem.

“Cosmo is exactly what Abstract was built for—a space where fans don't just watch, they vote, collect, and move in sync with their favorite artists,” said Michael Lee, Abstract CEO and co-founder. “Together, we’re building a new cultural operating system.”

A New Era for K-Pop Engagement

K-pop is arguably the world’s most digital-native fan ecosystem—and the numbers prove it. tripleS has racked up over 3.4 million followers and bagged the 2023 MAMA Awards’ Best New Female Artist, while ARTMS topped Billboard’s Top New Artist Albums and has garnered over 90 million Spotify streams.

Now, with Cosmo on Abstract, these fans get a more participatory experience that brings real utility to digital collectibles and fan voting systems—without requiring them to understand wallets, gas fees, or crypto lingo.

“Fans deserve a real seat at the table,” said Jaden Jeong, CEO of Modhaus. “Partnering with Abstract lets us make that vision global, accessible, and seamless.”

Abstract: Culture Meets Infrastructure

Abstract is no ordinary blockchain. With over 2 million wallets already deployed, it's quickly becoming the go-to infrastructure for culture-defining projects—not DeFi degens. Built by veterans from Ethereum, Pudgy Penguins, and Kubernetes, Abstract is engineered for speed, scale, and simplicity, targeting Gen Z and Gen A users in high-GDP markets who want to engage, not debug.

Its zero-knowledge (ZK) cryptography and seamless UX allow apps like Cosmo to be invisible on the blockchain front—users onboard with email, interact via tap, and never touch a seed phrase. This “Web2 feel, Web3 power” ethos is what sets Abstract apart in a noisy ecosystem.

The partnership with Modhaus adds to Abstract’s growing portfolio of apps redefining how blockchain enables ownership, engagement, and participation across industries like music, fashion, gaming, and social media.

The crypto world has long touted the promise of fan empowerment, but most blockchain apps have been too technical or too niche to make a dent in pop culture. That changes with Cosmo on Abstract. It's a Web3 experience that doesn’t feel like Web3—and that could finally tip the scale for mainstream adoption.

With K-pop fans leading the charge, the partnership between Modhaus and Abstract isn’t just a tech upgrade—it’s a preview of what participatory fandom could look like in a decentralized, creator-first internet.

Get in touch with our MarTech Experts.

Force Marketing and automotiveMastermind Partner to Bring AI-Powered, Hyper-Targeted Campaigns to Auto Dealerships

Two major players in automotive marketing tech—Force Marketing and automotiveMastermind—have announced a strategic partnership aimed at transforming how auto dealers engage with potential buyers. The move combines predictive buyer data with omnichannel marketing activation, giving dealerships an immediate edge in a hyper-competitive market.

The partnership taps into automotiveMastermind’s Behavior Prediction Score® (BPS) and advanced segmentation tools to enhance first-party dealer data. Force Marketing then activates that enriched data through Audience IQ, its proprietary customer data platform (CDP), delivering precision-targeted campaigns across digital platforms including Google, Meta, Connected TV, display, video, and streaming audio.

“This is about unlocking strategic access to powerful data—and activating it across untapped channels,” said John Fitzpatrick, CEO of Force Marketing. “We’re not just layering on tech. We’re delivering measurable growth that dealers can see in their bottom line.”

A New Data-Driven Blueprint for Auto Retail Marketing

At its core, the partnership helps dealers do what they’ve long struggled with: expand reach, increase ROI, and stay compliant with OEM programs—without adding operational overhead.

Force Marketing brings the creative and digital execution muscle. automotiveMastermind brings the data—and not just any data, but the kind that predicts who’s actually ready to buy.

By merging these strengths, the companies are creating a fully optimized campaign framework that dealers can tap into at no additional cost. It’s not a bolt-on. It’s a blueprint.

“This is the new world. We work together,” Fitzpatrick added. “Dealers shouldn’t have to choose between program compliance and strategic targeting. Now they don’t have to.”

Early Results Show Real Impact

The partnership has already been piloted across 10 dealerships, yielding standout results:

• Paid Search Campaigns: 59% lower cost per conversion and 42% drop in CPC

• Performance Max Campaigns: 13% improvement in cost per conversion

• Streaming Media / CTV: 19% lift in sales with enriched data targeting

These results validate what the partners are calling a “next-gen” approach to automotive marketing: one that’s predictive, efficient, and built to scale.

“Our Actionable Intelligence™ platform already helps dealers target one-to-one,” said Aaron Baldwin, CEO of automotiveMastermind. “This partnership brings that intelligence into new digital spaces where shoppers are active, but dealers haven’t always had visibility.”

Why It Matters for the Industry

In an era where digital fragmentation makes it harder to reach in-market buyers, this collaboration offers a clear path forward: merge intelligence with execution.

By tightly integrating predictive analytics with omnichannel activation, the Force–Mastermind partnership gives dealerships the power to:

• Reach high-intent buyers at the right time and place

• Optimize ad spend with real-time targeting insights

• Stay compliant with OEM co-op requirements

• Localize and personalize marketing without reinventing the wheel

And it’s all accessible without new tech hurdles or added vendor costs.

Force Marketing and automotiveMastermind are redefining what "working together" means in automotive marketing. It’s not about adding another dashboard. It’s about delivering smart, data-infused, omnichannel campaigns that convert—and finally giving dealers a system that works as hard as they do.

Get in touch with our MarTech Experts.

Data Gets Personal: Alliant Acquires AnalyticsIQ to Supercharge Predictive Marketing

In a move poised to shake up the data-driven marketing landscape, Philadelphia-based private equity firm Inverness Graham has announced that its portfolio company Alliant has acquired AnalyticsIQ, a specialist in predictive analytics and behavioral data modeling. The acquisition signals a strategic bid to build one of the industry’s most sophisticated engines for people-based marketing.

If the data wars are heating up, this merger loads Alliant’s arsenal with next-gen targeting capabilities.

Why It Matters

Marketers are chasing more than just eyeballs—they’re after intent, emotion, and purchase behavior. AnalyticsIQ, known for blending cognitive psychology with machine learning, doesn’t just predict what consumers might do—it aims to answer the elusive why behind consumer actions.

Pair that with Alliant’s cooperative transaction data, and you've got a cocktail for campaigns that are not only more personalized but potentially predictive at scale.

According to Michael Morrissey, Managing Principal at Inverness Graham, “Combining Alliant’s proprietary transaction data with AnalyticsIQ’s predictive modeling and digital integrations enhances our ability to deliver high-performing, insight-driven audiences across both traditional and emerging marketing channels.”

Translation: better targeting, smarter segmentation, and fewer wasted ad dollars.

A Leadership Shift with Strategy at Its Core

With the deal, Scarlett Shipp, the current CEO of AnalyticsIQ, will take the reins of the newly combined business. Meanwhile, JoAnne Monfradi Dunn, Alliant’s founder and long-time CEO, is stepping down from daily operations but will remain on the Board, ensuring continuity and strategic oversight.

Shipp commented, “Our team has spent years building predictive data that helps brands not just understand what people do—but why they do it. Joining forces with Alliant enables us to scale that mission.”

Her words aren’t just PR polish—they hint at a future where marketing data gets a psychological upgrade. Expect deeper audience insights, more effective omnichannel campaigns, and a growing appetite for AI-enhanced data science.

What’s Next?

This acquisition also hints at a larger play: Inverness Graham and Alliant are still hungry. They’re actively looking for more deals, seeking data-centric firms that can plug into their expanding ecosystem of marketing analytics, identity resolution, and omnichannel activation.

It’s worth noting this merger comes as competition intensifies across the MarTech landscape. Giants like Adobe, Salesforce, and Oracle are continuing to consolidate data platforms, while independents fight for relevance through niche capabilities and innovation. With the Alliant–AnalyticsIQ combo, Inverness is betting on a best-of-both-worlds strategy: robust data scale plus nuanced predictive intelligence.

Terms of the deal weren’t disclosed, but with law firm Faegre Drinker and Stephens Inc. involved, the playbook here is clear—this isn’t a one-off acquisition. It’s a foundation for a smarter, stickier MarTech future.

Conversionomics Gets a Brain Boost: Net Conversion Injects AI Into Its MarTech Arsenal

Net Conversion, the data-obsessed media agency with a knack for turning marketing chaos into clarity, just gave its proprietary platform Conversionomics a major intelligence upgrade. The company unveiled a suite of AI-powered features that aim to radically streamline insights, unify measurement across media types, and future-proof ad targeting—without relying on cookies.

For a tool that’s already served as the analytical backbone for media strategy since 2008, this isn’t just a tune-up. It’s a full system evolution.

From Data Warehouse to Media Intelligence Engine

Conversionomics was originally built as a powerful data management platform, capable of digesting information from over 80 APIs and spitting out automated reports and exports. But in today’s fragmented, cross-device, privacy-challenged landscape, that’s table stakes.

Net Conversion is positioning the new AI-enabled Conversionomics as something more: a media enablement platform, one that doesn't just process data—it thinks.

And the timing couldn’t be better. Marketers are under pressure to do more with less, connect dots across disconnected journeys, and justify spend in real-time. “We are intrigued by the evolution of the Conversionomics platform,” said Mandy Penn, VP of Marketing at Evermore Orlando. “It represents a real departure from the standard practices and transactional limitations often associated with media today.”

Three Pillars of AI-Powered Performance

The platform’s overhaul revolves around three strategic pillars:

1. Insights:
At the heart of the update is an AI Insights Agent—think of it as an always-on junior analyst—that delivers real-time alerts, performance trends, and optimization cues straight to Net Conversion’s human analysts via Google Chat, Gmail, or Google Sheets. It’s not just automation; it’s augmentation.

2. Measurement:
Conversionomics now supports platform-agnostic measurement across channels like connected TV (CTV) and streaming audio, along with automated linear probabilistic measurement—no third-party aggregator required. It’s a clear push to break free from walled gardens and give clients a full-funnel, full-picture view.

3. Activation:
As cookies crumble, Conversionomics steps up with support for secure first-party data transfers, Conversions API, and Enhanced Conversions. These features not only facilitate audience targeting and lookalike modeling, but also improve offline-to-online attribution, giving brands sharper performance clarity in a privacy-first world.

AI with Intent

This AI-driven expansion comes on the heels of Net Conversion’s acquisition of Elevate the Outcome, a performance TV agency that further cements its expertise in omnichannel measurement. According to Brett Hughes, Chief Analytics Officer, “The latest AI enhancements represent the natural evolution of a vision we started 16 years ago—to make data truly useful for driving performance.”

If that sounds ambitious, it’s because it is. But it's also increasingly essential.

While many MarTech platforms are scrambling to retrofit AI, Conversionomics seems built for this next era—one that demands speed, agility, and intelligence across the entire media lifecycle. It’s not just about plugging in ChatGPT-style insights; it’s about building a system that understands media performance like a strategist, not just a spreadsheet.

A New Tagline for a New Era

Net Conversion is rebranding Conversionomics with a sharper promise:
“More intelligent marketing, less guesswork.”

At a time when marketers are drowning in dashboards and short on decision-making time, the pitch resonates. With these upgrades, Conversionomics shifts from simply organizing data to activating it—intelligently, intuitively, and at speed.