Digital Realty (NYSE: DLR), a global leader in cloud- and carrier-neutral data center and interconnection solutions, has deepened its collaboration with NVIDIA to advance next-generation AI infrastructure design and deployment. The initiative centers on Digital Realty’s Manassas, Virginia campus—now home to NVIDIA’s new AI Factory Research Center.

The research center supports several key NVIDIA programs, including the Omniverse DSX blueprint for AI factories and digital twins for gigascale AI facilities. It also explores advanced liquid cooling systems, power management innovation, and energy efficiency breakthroughs—efforts aimed at shaping best practices for AI infrastructure across the industry.

Building the Foundation for Scalable AI

As AI workloads rapidly outpace traditional compute needs, Digital Realty’s expertise in large-scale infrastructure is helping define the next standards for AI-ready data centers.

“The infrastructure requirements for AI are fundamentally different from traditional data center workloads,” said Chris Sharp, Chief Technology Officer at Digital Realty. “Meeting these demands requires deep collaboration between infrastructure providers and technology innovators. Our work with NVIDIA reflects a shared commitment to tackling the technical challenges that enable AI at scale—from cooling and power optimization to network architecture.”

AI-Optimized Design for the Future

Digital Realty’s Manassas site, part of its expansive global portfolio, delivers high-density power, advanced cooling, and robust connectivity—all optimized for computationally intensive AI environments. The company’s collaborative model allows it to tailor data center solutions to specific workload needs while maintaining the performance, reliability, and sustainability standards enterprise customers expect.

By integrating NVIDIA’s AI research with its infrastructure capabilities, Digital Realty aims to set a new benchmark for the AI data center ecosystem—bridging innovation and scalability for the next generation of AI-driven enterprises.

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RainFocus, the event marketing platform known for unifying audience engagement data, has announced “Connecting Journeys” as the theme for its annual flagship conference, RainFocus INSIGHT 2026. Scheduled for January 20–22, 2026, at the Hyatt Regency in Salt Lake City—and virtually worldwide—the event will explore how connected experiences are transforming event strategy, customer engagement, and data-driven marketing.

Building Cohesive Customer Journeys

This year’s theme centers on a growing industry realization: events are no longer standalone touchpoints but essential connectors in the broader customer journey.
“A successful event strategy must be a continuous customer journey, not a siloed moment,” said Rodney Hart, VP of Events at RainFocus. “At INSIGHT, we’re showing how unified data turns every interaction into a personalized, seamless experience that strengthens the entire marketing ecosystem.”

The focus on integration comes as event marketers face rising pressure to deliver measurable outcomes and real-time personalization—a trend accelerated by AI’s growing influence in experience design.

INSIGHT Premiere: The Virtual Kickoff

RainFocus will kick off its 2026 program with INSIGHT Premiere, a virtual preview event on November 5, 2025.
The session will feature Ashleigh Cook, CMO of RainFocus, moderating a panel of industry heavyweights, including Nicola Kastner (CEO, Event Leaders Exchange), Brent Turner (EVP, Opus Agency), and Mike Bushman (CTO, RainFocus).

The discussion will spotlight three urgent challenges facing event professionals:

• How AI is reshaping event execution and bridging skills gaps

• Rethinking event measurement to prioritize actionable KPIs

• Balancing innovation with operational efficiency

The Premiere will also unveil the INSIGHT 2026 session catalog, giving attendees a sneak peek into workshops, panels, and keynotes from top enterprise leaders.

Where Data Meets Experience

RainFocus INSIGHT has earned a reputation as one of the most forward-thinking conferences at the intersection of event technology, marketing, and data intelligence.
Each year, it brings together leading voices from brands such as DocuSign, Ellucian, The Executive Leadership Council, Jamf, Microsoft, Salesforce, SHRM, and Workday, among others.

The event is expected to deepen conversations around AI-driven personalization, cross-channel analytics, and customer data unification, all of which are shaping the next era of event-led growth. With marketing budgets under scrutiny and ROI expectations rising, RainFocus aims to help teams use event data as a strategic asset—not just a performance report.

AI at the Center of Modern Event Marketing

AI continues to dominate marketing technology, and event management is no exception. From predictive engagement to automated content recommendations, RainFocus and its partners are demonstrating how intelligent systems can deliver more human-centric experiences at scale.
INSIGHT 2026 will showcase real-world applications of these technologies, positioning AI not as a replacement for creativity, but as a catalyst for personalization and performance.

Registration and Early Access

Early-bird registration for RainFocus INSIGHT 2026 is now open at rainfocus.com/insight, with discounted pricing available through November 30, 2025. Attendees who register early will receive an exclusive gift and gain access to pre-event resources designed to maximize their INSIGHT experience.

For marketers, event strategists, and tech innovators alike, “Connecting Journeys” promises to deliver more than a conference—it’s a blueprint for how the world’s most data-savvy brands are turning every event into a living, evolving customer experience.

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Marketers have hit a breaking point with their technology stacks. After years of layering automation, analytics, and personalization platforms, most say their martech tools are more headache than help. But a new study from Hightouch, the data and AI platform for marketing, reveals the real culprit isn’t technology fatigue—it’s disconnected data.

The report, Has Martech Failed Marketers?, is based on 384 in-depth conversations with marketing leaders across industries. Its findings expose a growing rift between marketing ambitions and execution, especially in the AI era.

Martech Promised Growth. Data Chaos Delivered Frustration.

Despite record investments in marketing technology, nearly every marketer surveyed said their tools aren’t living up to expectations. The reason? The platforms can’t perform when the underlying data is scattered, incomplete, or trapped in silos.

According to the report:

• 95% of marketers struggle to find or target audiences effectively.

• 75% of martech pain points trace back to data issues, not the tools themselves.

• Only 10% believe they’re using AI effectively.

• Less than 2% say their AI-driven personalization efforts are successful.

“The next wave of marketing innovation is not about adding more software,” said Tejas Manohar, Co-CEO and Co-Founder of Hightouch. “It’s about activating the data foundation that makes AI actually work.”

AI Can’t Fix Bad Data

Marketers have been eager to adopt generative and agentic AI, but most organizations aren’t ready for it. The reason is fundamental: AI is only as good as the data it’s trained on.

Without unified, accurate data, personalization becomes guesswork, automation breaks down, and AI insights lose relevance. Even as the martech landscape now exceeds 15,000 tools, the research shows most teams are struggling to connect the dots between platforms and outcomes.

“Speed and scale mean nothing if you cannot reach the right people,” Manohar added. “This is a wake-up call for every marketing leader chasing AI. Data is not just part of the strategy. It is the strategy.”

The Data Disconnect Behind the Martech Mess

The study found that while marketers often cite “too many tools” as their top pain point, the deeper issue is data readiness—a lack of unified systems and standardized data pipelines. Many marketing departments still depend on engineering teams to access or integrate data, creating delays and bottlenecks that limit agility.

This “pain behind the pain” affects every marketing outcome—from audience segmentation to campaign measurement. Whether B2B or B2C, industries like retail, fintech, entertainment, healthcare, and SaaS all share the same obstacle: fragmented data systems that prevent AI and analytics tools from realizing their potential.

Reframing Martech: From More Tools to Smarter Data

For years, martech has been about assembling the “perfect stack.” Hightouch’s findings suggest that this mindset is shifting. Rather than expanding their toolkits, marketing teams are now prioritizing data connectivity and activation—ensuring information flows freely between CRMs, analytics platforms, and AI engines.

The report echoes a broader industry trend. With the rise of data clean rooms, composable CDPs, and privacy-first frameworks, marketers are recognizing that success depends less on the number of tools they own and more on how intelligently those tools share and act on data.

The Conversation Continues: Data as the New Martech Battleground

To explore these findings, Hightouch will host a live webinar on November 13, featuring Scott Brinker, Editor of chiefmartec.com and a leading analyst in the space. He’ll be joined by Lizzie Yarbrough, Head of Product Marketing at Hightouch, and Adam Greco, Product Evangelist.

The panel will dive into why data has become the central bottleneck in marketing and outline steps companies can take to build the unified data foundations AI depends on.

As marketers push toward more advanced personalization and AI-driven automation, one truth is clear: technology can’t fix what disconnected data breaks. The winners in this new era of marketing won’t be those with the biggest stacks—they’ll be the ones who make their data work smarter.

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NAVER D2SF–backed Nota AI, a pioneer in AI model compression and optimization, has officially listed on the KOSDAQ market, marking a major milestone for South Korea’s deep tech sector. The company’s public debut reflects investor confidence in the growing global demand for lightweight, efficient AI systems that can operate on the edge rather than in the cloud.

From Startup to Public Company: The NAVER Connection

Founded in 2015, Nota AI was an early bet for NAVER D2SF, the corporate venture capital arm of tech giant NAVER. D2SF’s backing positioned Nota AI to scale its innovations in AI model optimization—a field that’s quickly becoming mission-critical as enterprises wrestle with the spiraling costs of large AI models.

Nota’s proprietary platform, NetsPresso®, enables developers to compress and optimize AI models without sacrificing accuracy or performance. This technology is central to what’s now being termed “AI lightweighting”—a process that trims resource-hungry AI models so they can run efficiently on smaller devices and embedded systems.

As enterprises push AI deeper into physical systems like autonomous vehicles, drones, and robotics, Nota’s edge-oriented approach is attracting increasing attention. Its partnerships with NVIDIA, Samsung Electronics, Qualcomm, Arm, and Sony underscore the strategic importance of this space.

The Power of Physical AI

In a market dominated by cloud-based AI infrastructure, Nota AI’s edge-first strategy sets it apart. Its optimization technologies directly tackle one of AI’s biggest challenges: energy and compute efficiency. This is especially vital for “Physical AI” applications, where latency, cost, and real-time decision-making define success.

In recognition of its technical edge, CB Insights recently named Nota AI among the “2025 Global Innovative AI Startups 100.” The company’s flagship video intelligence solution, Nota Vision Agent (NVA), extends its AI capabilities to real-world monitoring systems. Using a Vision-Language Model (VLM), NVA applies generative AI to analyze complex video streams directly on-device—boosting privacy, speed, and reliability.

Post-IPO Growth and Global Strategy

Following its KOSDAQ listing, Nota AI plans to double down on R&D and expand into new high-demand sectors. The company is eyeing key markets in the United States, Europe, and the Middle East, targeting global semiconductor firms and device manufacturers that are integrating AI at the hardware level.

Nota also sees significant opportunity in defense, aerospace, and industrial automation, where edge AI can deliver mission-critical intelligence without reliance on cloud connectivity. Strategic collaborations with embedded technology leaders are expected to accelerate this expansion.

Financially, Nota AI is showing impressive momentum. Annual revenue jumped from $2.52 million in 2023 to $5.89 million in 2024, with projections reaching $10.17 million by 2025. The company aims to achieve profitability by 2027, a target that seems plausible given its global client base, which includes Fortune Global 500 enterprises and the Dubai Roads and Transport Authority (RTA).

Building an “AI Everywhere” Future

Nota AI’s CEO, Myungsu Chae, views the IPO as more than a capital event—it’s a statement of intent.

“This IPO is a crucial strategic decision that goes beyond mere capital procurement,” said Chae. “It’s an opportunity to earn the trust of the global market and establish a robust foundation for exponential future growth.”

Chae emphasized that Nota AI’s long-term vision—“AI Everywhere”—focuses on enabling intelligent systems to operate seamlessly across devices, networks, and industries. By bridging the gap between high-performance AI and real-world deployment constraints, the company is positioning itself at the heart of the next era of AI adoption.

A Benchmark for South Korea’s AI Ecosystem

Nota AI’s successful listing also signals the maturity of South Korea’s AI innovation ecosystem. With strong backing from NAVER and collaboration with global tech leaders, the company exemplifies how homegrown startups can compete in a market long dominated by U.S. and Chinese players.

As AI becomes more embedded in everyday devices—from smart cameras to autonomous vehicles—model efficiency will be the new currency of innovation. Nota AI’s breakthrough in model compression places it in a sweet spot to lead that transformation.

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In a major step toward digital transformation in life sciences, Anthill has introduced Anthill Cloud™, a next-generation content and engagement platform designed for the Pharma, MedTech, and Biotech industries. The launch marks a bold move to unify content creation, governance, and omnichannel activation—three pain points that have long slowed innovation in healthcare communications.

A Unified Ecosystem for Modern Pharma

Anthill Cloud merges AI, modular content, and personalized engagement in one connected ecosystem. Built for speed, scalability, and compliance, it enables commercial and medical teams to streamline workflows without compromising regulatory standards.

“With Anthill Cloud, commercial and medical teams no longer need to choose between agility and compliance,” said Rasmus Kalms, Chief Product Officer at Anthill. “We’ve created a new content excellence ecosystem that redefines how pharma companies approach their omnichannel strategy.”

At its core, Anthill Cloud addresses the inefficiencies plaguing traditional pharma marketing—from global campaigns disconnected from local markets to costly content duplication and lengthy approval cycles.

Inside Anthill Cloud: Three Core Tools

The platform is powered by three specialized tools that work in harmony:

• Arcane™ – Anthill’s Generative AI engine built for pharma content discovery, reuse, and creation. It cuts production time, lowers costs, and eliminates redundant manual processes.

• Activator™ – A content authoring system using pre-approved templates and modular assets. Integrated with Veeva PromoMats and Veeva MedComms, it allows compliant, scalable content deployment.

• Amplify™ – A self-detailing solution that delivers personalized omnichannel experiences for healthcare professionals (HCPs), enhancing rep efficiency and engagement quality.

Together, these tools create an always-on ecosystem for compliant, data-driven content excellence.

Solving Pharma’s Content Bottleneck

Life sciences organizations are facing a digital content crisis. Product launches often outpace local adaptation needs, digital asset libraries grow chaotic, and regulatory approvals delay time-to-market. Anthill Cloud tackles these pain points through:

• Scalable AI-driven content creation with built-in compliance.

• Automated modular authoring that ensures discoverability and efficiency.

• Personalized HCP engagement journeys informed by real-time insights.

• Integration with Veeva and other DAM systems for seamless governance.

This integrated approach not only accelerates content delivery but also ensures every message reaches the right professional with precision and context.

Industry Context: Digital Maturity Meets AI Innovation

As the pharmaceutical sector accelerates its digital maturity, AI-enabled platforms like Anthill Cloud are becoming critical infrastructure. Competitors such as Veeva and IQVIA have introduced automation tools, but Anthill’s modular and connected ecosystem gives it a distinctive edge—offering full lifecycle visibility from content creation to HCP interaction.

By fusing Generative AI with regulatory discipline, Anthill positions itself at the intersection of innovation and compliance—a rare balance in a tightly regulated space.

The Road Ahead

Anthill will showcase Anthill Cloud at the Veeva Commercial Summit Europe in Madrid, where attendees can experience live demos and consult with Anthill experts about transforming their content operations.

For life sciences marketers, the message is clear: agility and compliance are no longer at odds. Anthill Cloud promises to turn content complexity into competitive advantage—one modular asset at a time.

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ArisGlobal, an AI-first technology leader in life sciences and creator of the LifeSphere® platform, has introduced NavaX™ Agents, a groundbreaking evolution in its AI strategy. The launch brings agentic intelligence—AI systems capable of reasoning, acting, and collaborating autonomously—to the LifeSphere Unify ecosystem.

This new suite marks a pivotal step in ArisGlobal’s mission to infuse intelligent automation across the life sciences product lifecycle, bridging advanced AI with domain-specific expertise.

The Rise of Agentic AI in Life Sciences

At the core of this release is the NavaX Super Agent, designed as an intelligent orchestration layer. It coordinates multiple specialized AI agents, each handling narrow but complex tasks, to achieve broader, multi-step goals without manual oversight.

ArisGlobal’s NavaX Agents are domain-trained digital entities built to think, learn, and adapt within the LifeSphere Unify environment. Unlike traditional AI models that rely on static rules, NavaX Agents leverage contextual reasoning and continuous learning, ensuring every action is informed by human input and organizational intelligence.

“The introduction of NavaX Agents Suite marks a defining moment in our leadership of agentic AI for life sciences,” said Jason Bryant, SVP of Product Management – AI at ArisGlobal. “We’re delivering systems that think, act, and evolve alongside users, driving measurable ROI through efficiency, quality, and actionable insight.”

MedDRA Coding Agent: The First Step Toward Intelligent Autonomy

The first of the NavaX series, the MedDRA Coding Agent, revolutionizes medical coding workflows. It mimics human-level judgment while maintaining full auditability and transparency—a critical requirement in regulated industries.

By applying context-aware autonomy, this agent eliminates the inefficiencies of rule-based systems and accelerates coding decisions with unmatched precision. The innovation recently earned Frost & Sullivan’s 2025 Global New Product Innovation Award, solidifying ArisGlobal’s leadership in operational AI for life sciences.

Building the Future of Connected Intelligence

Following the success of the MedDRA Coding Agent, ArisGlobal is expanding the NavaX Agent Suite to encompass broader functions across the product lifecycle. Upcoming additions include:

• Signal Detection and Assessment Agents to enhance pharmacovigilance and risk management.

• Regulatory Intelligence Agents for faster, insight-driven compliance.

• Distribution and Quality Agents that streamline global operations.

All NavaX Agents will integrate seamlessly with LifeSphere Unify, connecting Safety, Regulatory, Quality, and Medical Affairs into one intelligent ecosystem.

“Our NavaX Agent universe will seamlessly connect every domain across the product lifecycle,” said Aman Wasan, CEO at ArisGlobal. “Unlike third-party AI tools, NavaX Agents are native collaborators designed to enhance LifeSphere’s core capabilities—driving speed, quality, and deeper insight.”

A Collaborative Path Forward

ArisGlobal is collaborating with top pharmaceutical companies to refine and expand NavaX Agents using the latest large language model (LLM) and reasoning technologies. This co-development approach ensures each agent aligns with real-world challenges in regulatory science, safety monitoring, and medical operations.

By embedding responsible AI principles into every layer of LifeSphere Unify, ArisGlobal aims to help life sciences organizations achieve faster insights, higher compliance, and ultimately, bring safer therapies to patients more efficiently.

With NavaX Agents, ArisGlobal is not just building tools—it’s defining a new AI paradigm for life sciences, one where automation is not just intelligent but also trustworthy and domain-aware.

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A new Accenture study reveals that European organizations are accelerating their shift toward sovereign AI, emphasizing control over data, infrastructure, and local talent. This move reflects growing concerns around data privacy, geopolitical instability, and dependence on foreign technology providers.

Europe’s Sovereign AI Push Gains Momentum

According to the research, 62% of European organizations are actively seeking sovereign AI solutions—an approach that allows countries to build and operate AI systems using local infrastructure and data to ensure security and autonomy. The appetite for sovereignty is highest in Denmark (80%), Ireland (72%), and Germany (72%), particularly across highly regulated sectors such as banking (76%), utilities (70%), and public services (69%).

The trend is set to accelerate. Over the next two years, 60% of organizations plan to increase investments in sovereign AI technologies, with Germany, Italy, and Switzerland leading the charge.

The European AI Paradox

“Europe is facing an AI paradox,” said Mauro Macchi, Accenture’s CEO for EMEA. “Leaders recognize AI’s potential for innovation and growth, yet much of the technology originates outside the region. Sovereign AI resolves this tension by protecting critical operations while maintaining competitiveness.”

Macchi emphasized that sovereignty should not hinder progress but rather fuel a thriving, innovative European tech ecosystem capable of competing globally.

Balancing Control and Collaboration

Accenture’s survey found that only 36% of AI initiatives currently require full sovereignty due to regulatory or data sensitivity concerns. However, organizations are cautious about cutting ties with non-European providers—65% admit they can’t remain competitive without them, while 57% plan to combine European and non-European solutions for a hybrid approach.

This highlights a pragmatic shift: sovereignty is not about isolation but strategic control. As Mauro Capo, Accenture’s Digital Sovereignty Lead for EMEA, explained, “Sovereign AI isn’t about holding everything locally. It’s about choosing how much control to apply across data, infrastructure, and models, depending on the use case and national priorities.”

From Risk Mitigation to Competitive Edge

Despite rising awareness, only 19% of organizations currently view sovereign AI as a competitive advantage. Most—48%—see it as a compliance-driven necessity. Moreover, just 16% have elevated AI sovereignty to a CEO or board-level concern.

Accenture’s findings suggest a mindset shift is needed. Sovereign AI should be seen as a strategic growth enabler, not merely a regulatory safeguard. Encouragingly, 73% of organizations believe governments and institutions such as the European Union must play a stronger role through policies, funding, and infrastructure investment.

Building a Hybrid Ecosystem

Accenture’s ongoing projects highlight this evolving landscape. The company is collaborating with Telia Cygate to help Swedish enterprises deploy secure, scalable AI systems and partnering with Amsterdam-based Nebius, an AI cloud provider, to support clients in building localized sovereign AI factories that meet data residency standards. Nebius’s infrastructure—featuring custom hardware, proprietary software, and energy-efficient data centers—serves as a model for sustainable, regionally anchored AI deployment.

The Path Forward: Four Steps to Sovereign AI

To help organizations capture the full potential of sovereign AI, Accenture recommends four key actions:

1. CEO Ownership – Make sovereign AI a C-suite priority, aligning it with risk, innovation, and growth strategies.

2. Reframe Sovereignty – Treat sovereignty as a competitive differentiator, not just a compliance checkbox.

3. Expand the Ecosystem – Build hybrid partnerships that balance local trust with global innovation.

4. Redefine Architecture – Embed sovereignty across every layer—data, infrastructure, models, and applications—for resilience and adaptability.

As Europe strives to build a secure and self-sufficient digital future, sovereign AI stands at the intersection of innovation, trust, and control. Those who treat it not as a limitation but as a lever for growth may well define the next era of European technological leadership.

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ICARO Media Group, Inc. (ICARO), a leading AI-driven media technology company, has announced the acquisition of LiftMedia, a Europe-based digital out-of-home (DOOH) advertising firm specializing in elevator screen content and ad media. The move strengthens ICARO’s global position in the fast-evolving DOOH sector, extending its intelligent advertising network across three continents.

Strengthening ICARO’s AI-Powered Advertising Ecosystem

The acquisition follows ICARO’s recent purchase of RioVerde, an award-winning DOOH company in Brazil. Together, these deals significantly expand ICARO’s digital screen footprint and integrate seamlessly with its AI-powered media and advertising platforms, offering advertisers enhanced precision and engagement.

According to Paul Feller, Chairman and CEO of ICARO Media Group, the deal marks a major milestone for the company.

“This is an extraordinary and historic moment for ICARO Media Group which will create significant long-term value for ICARO and our shareholders,” said Feller. “Combining ICARO’s AI-powered engagement technologies in LATAM and North America with LiftMedia’s Out-of-Home media business in Europe will increase viewer engagement, offering users highly relevant content such as breaking news, sports, and family entertainment, all delivered with hyper-targeted advertising.”

Redefining the Future of DOOH

ICARO’s acquisition strategy underscores a clear vision: to create a globally connected, AI-driven DOOH ecosystem capable of delivering contextual, data-informed advertising experiences across diverse markets.

By merging LiftMedia’s European footprint with RioVerde’s Latin American presence and ICARO’s North American network, the company is positioning itself as a next-generation advertising powerhouse, enabling brands to reach audiences at scale while maintaining hyperlocal relevance.

Global Market Impact

The DOOH industry is experiencing rapid transformation as advertisers seek measurable, real-time engagement in public spaces. ICARO’s growing portfolio integrates AI, content automation, and real-time audience analytics, offering advertisers more efficient ways to target consumers across multiple geographies.

With LiftMedia’s network of elevator and building screen displays, ICARO gains a unique entry point into high-frequency urban environments, extending its ability to deliver dynamic, location-specific content to audiences on the move.

A Strategic Step Toward Media Convergence

ICARO’s recent acquisitions suggest a broader strategy toward media convergence—combining digital media, AI, and DOOH advertising into one intelligent platform. This integration not only enhances advertiser ROI but also redefines how content and advertising intersect in public spaces.

As the company continues to scale globally, ICARO is poised to bridge digital engagement and physical interaction—turning everyday moments into meaningful, measurable brand connections.

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