Oracle is doubling down on multicloud—this time in Canada. The company has officially launched Oracle Database@Google Cloud in the North America-Northeast 1 (Montreal) and North America-Northeast 2 (Toronto) Google Cloud regions, giving Canadian organizations a direct path to run Oracle’s flagship AI-driven database services inside Google Cloud while keeping data local for sovereignty and compliance needs.

It’s a strategic expansion that brings Oracle’s high-performance Exadata platforms, Autonomous AI Database, and Autonomous AI Lakehouse into Google Cloud’s backyard, building on the unusual but increasingly valuable partnership between the two tech giants. For Canadian enterprises—especially those in regulated sectors—this move delivers something they’ve been demanding for years: true multicloud optionality without awkward networking workarounds or cross-border data risk.

Why This Matters: Multicloud, But Without the Multicloud Headaches

For years, multicloud has been the strategy companies talk about more than they execute. Oracle and Google Cloud are trying to change that by offering something rare: native Oracle database services running on OCI hardware inside Google Cloud regions, with low-latency integration to BigQuery, Vertex AI, and Gemini.

For customers, that means:

• Oracle databases stay on Oracle’s optimized infrastructure

• Applications stay on Google Cloud

• Data stays in-region to meet strict Canadian compliance rules

• Partners can resell and integrate the offering directly through Google Cloud Marketplace

In practical terms, enterprises get Oracle’s database performance and reliability combined with Google Cloud’s AI ecosystem—without juggling cloud networking gymnastics or sacrificing sovereignty. It’s a direction the industry is increasingly warming to, as workloads become more distributed and AI ambitions grow.

“As more organizations in Canada embrace multicloud architectures, this provides the industry-leading reliability and performance that is required,” said Vijay Bangaru, VP of Multicloud at OCI. Google Cloud echoes the sentiment: Canadian organizations want AI-powered modernization, but they also want optionality.

What’s Available on Day One

Canadian customers can now run a suite of Oracle’s top-tier database technologies inside Google Cloud regions:

Oracle Exadata Database Service on Dedicated Infrastructure

Designed for heavy-duty workloads—AI, analytics, OLTP—Exadata X11M support and Oracle RAC provide the performance and uptime that traditional enterprise systems live and die by.

Oracle Autonomous AI Database

This fully managed, AI-infused platform automates patching, tuning, scaling, backups, and threat detection. With built-in ML capabilities and support for more than 48 billion queries per hour, it’s built for organizations that want high performance without high overhead.

Oracle Autonomous AI Lakehouse

Built on Apache Iceberg and integrated with Oracle AI Database 26ai and Exadata, the Lakehouse extends analytics and AI across Google BigQuery and BigLake. The cross-platform flexibility is a notable win for teams dealing with large, scattered data estates.

Oracle AI Database 26ai

Packed with more than 300 new features, including Hybrid Vector Search and JSON Relational Duality Views, the new release strengthens Oracle’s pitch that AI-first database design is the next frontier. Integrations with LLMs mean organizations can blend private enterprise data with public models to surface richer insights.

Oracle Zero Data Loss Autonomous Recovery Service

Real-time protection with sub-second recovery points gives customers the ability to withstand outages and ransomware attacks without losing critical transactions. Automated validation, immutable backups, and incremental-forever architecture reduce operational risk.

Multicloud Gets a Partner-Friendly Boost

Alongside the Canadian launch, Oracle and Google unveiled an industry-first partner program that lets Google Cloud and Oracle partners purchase and resell Oracle Database@Google Cloud through Google Cloud Marketplace. Deloitte Canada has already thrown its support behind the initiative, framing it as a major accelerator for multicloud modernization.

To participate, partners must belong to both Google Cloud Partner Advantage and Oracle PartnerNetwork—another sign the companies want their ecosystems tightly aligned as demand scales.

A Growing Global Footprint

The new Toronto region joins an increasingly long list of supported Google Cloud regions offering Oracle Database@Google Cloud, spanning Europe, Asia-Pacific, North America, and Latin America. More locations are scheduled over the next year, including Seoul, Osaka, Delhi, Madrid, Paris, Milan, Turin, Dammam, Mexico, and Santiago—mirroring Oracle’s aggressive global push to make AI-enabled multicloud more accessible.

This expansion underscores a broader trend: customers want cloud choice, performance guarantees, and region-specific compliance—all at the same time. And vendors are finally aligning with that reality.

Canadian Enterprises Get What They’ve Been Waiting For

With this launch, enterprises in Canada—financial institutions, public sector agencies, healthcare networks, and more—can now keep sensitive data within borders while tapping into Oracle’s database performance and Google Cloud’s AI capabilities.

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Channel99—the self-described AI-powered decision engine for B2B marketers—is rolling out new functionality that taps its industry-leading account identification to build smarter, higher-performing audiences and activate them across multiple channels. It’s the latest move in the company’s push to simplify B2B targeting, eliminate wasted spend, and tighten the connection between brand investments and measurable pipeline results.

For marketers frustrated by fragmented intent signals and inconsistent audience quality, this update aims to close the loop from awareness through revenue by unifying channel data, applying AI recommendations, and delivering clearer attribution than most ABM platforms traditionally offer.

A Smarter, AI-Driven Approach to B2B Audience Building

Channel99’s new capabilities let marketers create precise B2B audiences using straightforward rules that map to the entire funnel:

• Top-of-funnel: Build target account lists for awareness and early-stage programs.

• Mid-funnel: Create buyer-group segments designed to accelerate pipeline.

• Bottom-of-funnel: Zero in on the exact influencers and decision-makers tied to active deals.

AI then recommends the best-performing channels for each audience—reducing the guesswork that typically leads to wasted budget on poorly matched platforms.

Founder & CEO Chris Golec frames it as a fix for one of B2B’s biggest inefficiencies: “Leveraging AI to recommend which channels make the most sense for a particular audience and desired outcome eliminates a lot of the financial inefficiency that exists in B2B today.”

One View of Intent: Web Activity, G2, LinkedIn and More

Channel99 ingests engagement signals not just from first-party website activity, but also from high-value intent sources like G2 and LinkedIn. This consolidates a notoriously scattered signal ecosystem into a single source of truth.

In September, Channel99 expanded its LinkedIn integration to measure view-through attribution—connecting both organic and paid social touchpoints directly to pipeline activity. For B2B teams accustomed to murky attribution models, this level of clarity is rare.

Tealium’s Director of Marketing Operations, John Flesher, says the difference is tangible: “That clarity helps us improve the ROI of our digital investments, double down on key programs, and drive efficiency.”

Activation Across Today’s Most Critical B2B Channels

The platform now supports audience activation across:

• LinkedIn

• Google

• Microsoft

• Facebook

• YouTube

• Audyence

And more are coming this year, including integrations with G2, TechTarget, The TradeDesk, NetLine, StackAdapt, and Reddit. The expansion indicates Channel99’s ambition to become a neutral, cross-channel intelligence layer sitting above the entire B2B media ecosystem.

Audyence CEO Karl Van Buren calls the partnership a long-awaited shift: “Connecting and converting brand investments into top-of-funnel sales activity and pipeline has been a dream for way too long—now it is not only possible, but fully automated.”

Built for the Modern B2B Stack

Marketers can get started with a free account and connect CRM systems, media channels, and intent providers in minutes. AI-native dashboards deliver recommendations on campaign mix, audiences, and performance optimizations. For teams with more mature data practices, Channel99 exposes its data for ingestion into CDPs and warehouses.

The bigger picture is clear: B2B revenue teams are hungry for better signal quality, stronger attribution, and smarter targeting. Channel99 is positioning itself as the connective tissue among disconnected platforms, helping marketers move beyond last-click metrics and gut-feel channel planning.

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eclicktech, the Shenzhen-listed MarTech company accelerating its cross-border reach through AIGC innovation, arrived at Affiliate World Asia (AWA) 2025 in Bangkok with unmistakable momentum. Across two packed days, the company debuted upgraded AI solutions, released a forward-looking global white paper, and gathered over 150 industry leaders for a high-profile networking event that explored the next phase of AI-driven marketing transformation.

For an industry racing to adopt agentic AI workflows, tighter automation, and more intelligent global growth strategies, eclicktech used AWA 2025 to make its case: the future of cross-border performance marketing isn’t incremental—it’s algorithmic, predictive, and increasingly autonomous.

AI Spark Night: Where Global Tech Leaders Compared Notes on 2025 and Beyond

On opening night, eclicktech hosted AI Spark Night, a gathering that quickly became one of the most talked-about side events at AWA. With more than 150 partners from platforms including Google, Tencent Cloud, Qpon, Alibaba Cloud, and Taboola, the evening functioned as both a pulse check on where the global advertising industry is heading—and an unofficial preview of where the next year of AI investment may concentrate.

William Liu, General Manager of Yeahmobi (an eclicktech brand), set the tone early. He underscored the industry's acceleration toward intelligence-led operations and emphasized how eclicktech’s 2022 IPO (301171.SZ) has fueled deeper investment in AI product R&D.

“The global advertising industry is shifting faster toward intelligent and data-driven operations,” Liu said. “eclicktech will keep empowering partners to achieve stable, sustainable growth across diverse markets.” It was less a statement of intent and more of a strategic thesis: the companies that thrive in the next three years will be those that operationalize AI at every stage of the funnel.

Major Release: The “2026 Global AI Marketing Trends and Value White Paper”

The centerpiece of AI Spark Night was the early release of “2026 Global AI Marketing Trends and Value White Paper,” a research project co-developed with Alibaba Cloud and shaped by contributions from Google, PubMatic, and BigoAds.

If the AI-powered marketing category is entering what many analysts call the Agentic AI era—where systems can act, optimize, and reason with minimal human intervention—eclicktech’s white paper positions itself as one of the first roadmaps for brands navigating that shift.

The document focuses on:

• How agentic AI is reshaping cross-border advertising models

• What new data pipelines are required for intelligent audience orchestration

• The rise of hybrid decision systems blending AIGC with human oversight

• Increasing automation in creative production, media buying, and analytics

• The speed at which AI is reducing time-to-market for emerging brand categories

In many ways, the white paper attempts to capture the inflection point global advertisers find themselves in: AI is no longer an optimization layer. It’s becoming a foundation for market entry, operations, and growth strategy.

AI Drive 2.0: eclicktech’s Next-Gen Intelligent Digital Marketing Stack

AWA attendees spent much of the exhibition floor huddled around eclicktech’s AI Drive 2.0, the company’s upgraded intelligent digital marketing solution. Positioned as a full-funnel AI growth engine, AI Drive 2.0 brings together AIGC-powered creative generation, dynamic optimization algorithms, and automated traffic orchestration.

Across verticals—DTC, finance, gaming, and mobile apps—marketers explored several standout elements of the updated platform:

1. Full-Funnel AI Traffic Synergy

AI Drive 2.0 promises to unify performance signals across awareness, acquisition, and retention channels. Instead of optimizing campaigns in isolation, the platform uses a shared intelligence layer to reshape creative, audience targeting, and budget allocation in real time.

2. AIGC-Backed Creative and Localization Engine

Global brands often cite creative localization as a bottleneck. The new system allows rapid generation of compliant, culturally aligned creative variants, cutting production cycles dramatically.

3. Predictive Cross-Border Insights

Drawing from multi-market intent signals, eclicktech aims to forecast growth opportunities—helping brands enter new markets with more confidence and less blind spend.

4. Agentic Optimization

AI Drive 2.0 takes steps toward automating cross-channel execution, adjusting campaign parameters based on performance context, seasonality, and competitive shifts.

Together, these capabilities positioned eclicktech as one of the standout exhibitors, not just showcasing tools but framing how cross-border marketing may evolve in the next 18 months.

Riding the Wave of Global AI-Driven Marketing Expansion

eclicktech’s strong presence at AWA 2025 mirrors a broader industry reality: cross-border commerce continues to surge, but the operational complexities of global marketing require more automation, tighter intelligence, and real-time adaptability.

Across markets with fast-moving consumer behaviors—Southeast Asia, LATAM, India, and the Middle East—brands are under pressure to scale faster while reducing inefficiencies. Agentic AI and AIGC tools promise to do exactly that.

From attribution to audience modeling to creative iteration, the next wave of marketing innovation is rooted in intelligently reducing friction. eclicktech is positioning itself at that intersection: a platform not just for activation, but for end-to-end AI-driven decisioning.

Strategic Signal: eclicktech Is Building a More Global, More Open Ecosystem

The company closed its AWA appearance with a clear message: its future is increasingly international, collaborative, and ecosystem-driven. With deeper investment in AI following its IPO, and continued partnerships across cloud, adtech, and data intelligence providers, eclicktech is laying groundwork for what it calls a “smarter, more open, mutually beneficial global marketing future.”

AWA 2025 served as a proof point. The firm wasn’t simply attending the conference—it was shaping the narrative around how global performance marketing is being rebuilt through AI.

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Rivergate Marketing one of the few agencies dedicated exclusively to control system integrators and industrial automation companies—is expanding its consulting portfolio with a new two-day Go-to-Market (GTM) Strategy Workshop, built to give technical organizations the clarity and strategic foundation they need before launching into execution.

The move comes as more engineering-driven firms realize that marketing tactics aren’t effective without a well-aligned strategy beneath them. Rivergate says demand is rising among system integrators and automation firms seeking a unified direction, consistent messaging, and focus areas that match real market opportunities.

Why This Matters: Automation Firms Want Strategy Before Tactics

Marketing within industrial automation is notoriously complex. Technical firms often juggle niche service offerings, long sales cycles, and specialized buyer personas that don’t respond to generic messaging. Rivergate’s team—after sixteen years of exclusive focus on this sector—has seen the same gap repeatedly: companies want growth, but lack clarity on how to position themselves or where to invest.

That demand helped shape the expanded offering. Rivergate points to a recent engagement with a major North American control system integrator where its team facilitated an on-site, two-day workshop to unify strategy, build a messaging foundation, and create a complete GTM plan within ten weeks. The success of that engagement helped formalize the framework now available to the broader market.

“Every company has its own strengths, challenges, and opportunities—and its own vision for growth,” said Georgia Whalen, President of Rivergate Marketing. “Our workshop is built around each client’s unique situation. It’s a highly collaborative process that brings clarity to leadership teams and sets the stage for confident execution.”

Inside the Two-Day GTM Strategy Workshop

Rivergate’s workshop is designed as a structured, fast-moving strategic process. Over 48 hours, the team leads leadership groups through exercises and analyses that translate technical capabilities into commercial strategy.

The workshop includes:

• Competitive landscape analysis

• Market and vertical prioritization

• Buyer persona development

• Value proposition creation

• Messaging and positioning frameworks

• Campaign roadmapping

• KPI and success metric definition

The result is a complete, customized go-to-market plan tailored to the company’s industry, capabilities, buyers, and competitive pressures—not a recycled template.

Christine McQuilkin, Vice President at Rivergate, says that specificity is exactly what technical organizations need: “This workshop distills everything we've learned from years of partnering with system integrators and industrial automation companies. What we deliver is not generic. It’s specific to the client’s offering, their team, and their market environment.”

A Strategy-First Approach for a Market in Transition

Industrial automation is experiencing rapid change—digital transformation, reshoring, workforce shortages, and the rise of smart manufacturing are all reshaping market dynamics. As integrators transition from project-driven operations to more scalable solutions or managed services models, marketing strategy becomes a differentiator instead of an afterthought.

That’s where Rivergate’s specialization stands out. Unlike broad B2B agencies, Rivergate speaks the language of integrators, understands the complexity of automation projects, and knows how technical buyers evaluate risk, reliability, and expertise.

With dozens of system integrator clients over more than a decade and a half, the firm has built a repeatable—but always tailored—framework designed to give industrial players something many have lacked: a clear, confident path to market.

The Bigger Picture

The expanded GTM consulting offering signals Rivergate’s intention to move deeper into strategic advisory. For technical organizations that rarely have internal marketing strategists—or who struggle to align leadership around a unified growth direction—this kind of structured, high-touch workshop may become more of a necessity as competition intensifies.

For an industry built on engineering precision, Rivergate is betting that equal precision on the marketing side will give automation firms a strategic edge.

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Profound—the AI marketing platform built to help brands understand and shape how they appear across AI ecosystems like ChatGPT—has launched the public beta of Workflows, a new automation layer designed to solve one of marketing’s most urgent challenges: producing human-grade, AI-optimized content at scale without slipping into generic “AI slop.”

If the past decade was about optimizing for search engines, the next one belongs to Answer Engines—AI systems that provide direct, synthesized responses instead of links. For many brands, this shift has triggered a scramble to decode visibility inside models that don’t follow the rules of traditional SEO. But even with the right insights, turning analysis into action has required juggling data sources, manually building content, and hoping the work aligns with how AI systems interpret and surface information.

Profound Workflows is the company’s answer to this complexity—a single operational hub that streamlines insight gathering, content generation, approval routing, publishing, and ongoing performance measurement.

Tackling the AI Content Quality Problem

“The problem we are addressing is that marketers want to use AI to create marketing, but are understandably terrified of creating ‘AI slop,’” said James Cadwallader, Co-founder and CEO of Profound.

Cadwallader’s core thesis: AI content quality is determined by context, not creativity. The richer and more accurate the inputs, the more reliable and human-like the outputs. Profound says it has the largest dataset of real user prompts, deep visibility into AI citations, and proprietary optimization models—allowing Workflows to feed AI systems the context they need to generate meaningfully better content.

The goal is not just faster production, but aligned production—content that matches how AI models interpret topics, entities, and brand signals.

Built on AEO Data, Not Automation for Automation’s Sake

The company’s roots are in Answer Engine Optimization (AEO), a field that barely existed two years ago but is now driving marketing roadmaps at major brands. Profound’s infrastructure includes:

• The industry’s largest corpus of real AI prompt data

• Deep visibility into how models cite and reference brand content

• Proprietary models that predict and optimize for AI visibility

• Analytics tracking how often brands appear in AI-generated answers

Workflows layers automation on top of this foundation, turning insight into production. Marketers can:

• Aggregate data across platforms

• Conduct deep competitive and topic research

• Scrape top-performing pages

• Auto-generate briefs based on AI preference patterns

• Create content with AI, fueled by performance data

• Route drafts through approvals

• Push final content directly to CMS platforms

• Track AI and Answer Engine visibility in real time

The platform effectively unifies what used to be a fragmented stack—analytics in one system, content in another, production scattered across docs and spreadsheets.

“Profound Workflows has allowed us to thoughtfully incorporate AI search into our content optimizations,” said Sarah Shaffer, Organic Growth Specialist at Plaid.

Closing the Loop: From Insight to Impact

One of the biggest problems in AI-era marketing is measurement. Traditional analytics answer questions about traffic and search rankings—not how often or in what context your brand appears in AI responses.

Because Workflows integrates directly with Profound’s AI agent traffic analytics, marketers can see how content adjustments affect AI visibility, brand perception, and answer share. Optimization recommendations update automatically as models evolve.

“Profound Workflows opens up powerful automation possibilities that enable our SMEs to focus on the innovative work that truly requires human attention,” said Fiona Erickson, SEO Lead at MongoDB.

This closed-loop feedback cycle is the cornerstone of Workflows: strategy, production, and performance all inform one another in real time.

A New Standard for AI-Era Marketing Infrastructure

Profound’s move comes as AI search reshapes the digital landscape. Google’s Search Generative Experience (SGE), OpenAI’s ChatGPT Browsing, and Anthropic’s Claude Answers are already shifting user behavior away from traditional web search. Companies that once lived and died by SEO now face a fragmented, model-driven content economy where visibility is harder to track, measure, and influence.

By bundling insight, automation, and analytics into a unified system, Profound is positioning Workflows as the control center modern marketers increasingly need—especially as Answer Engines become the default discovery layer for consumers and B2B buyers alike.

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ZS is deepening its long-standing partnership with Salesforce by integrating its ZAIDYN® intelligence platform directly into Salesforce’s Agentforce Life Sciences, beginning January 2026. The collaboration is designed to elevate commercial and medical performance across the life sciences sector through advanced omnichannel orchestration, smarter field execution, and AI-powered recommendations.

The integration brings ZAIDYN’s life-sciences-native intelligence into Salesforce workflows, enabling teams to accelerate therapy delivery and operate with greater precision.

Three Core Capabilities Delivered Through the Integration

1. Personalized, Compliant HCP Engagement

ZAIDYN Customer Engagement will embed rich, life-science-specific HCP insights directly within Salesforce. Reps and marketers can access context-rich intelligence to drive more personalized and compliant interactions, improving relationship quality and commercial impact.

2. Stronger Field Effectiveness and Measurable Performance

With ZAIDYN Field Performance connected to Salesforce, organizations can optimize territory coverage, leverage dynamic deployment models, and build performance-driven incentive plans. Field teams will have clearer visibility into results, enabling them to address care gaps more effectively.

3. Agentforce Expanded with Life-Sciences-Trained AI Agents

ZAIDYN enhances Agentforce with domain-trained agents that automate and recommend next best actions. Capabilities include:

• HCP targeting and suggestions

• Personalized content selection

• Dynamic audience prioritization

• Predictive next best actions

This empowers teams to anticipate needs, act faster, and scale decision support.

Flexible Integration Options

The rollout will support multiple approaches, including:

• APIs

• MuleSoft integration

• Data Cloud packages

• Agent deployments through AgentExchange

This ensures organizations can adopt the intelligence layer using their preferred technical model.

Leadership Commentary

“ZS’s ready-to-use data and intelligence engine acts as an extension of Agentforce Life Sciences, allowing Salesforce users to seamlessly access deep industry insights from ZAIDYN,” said Tara Helm, VP Agentforce Life Sciences Strategy, Salesforce.

Jaideep Bajaj, Chairman Emeritus and head of ZS’s platforms and products business, added:
“When Salesforce is the chosen platform, ZS makes it work for life sciences. With ZAIDYN intelligence, we can strengthen field planning with the intelligence and orchestration of a life-sciences-native system.”

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IBM and Pearson are teaming up in a global partnership aimed squarely at one of the biggest challenges of the AI era: reskilling workers fast enough to keep up with technology. The two companies will jointly build new AI-powered, personalized learning products for enterprises, governments, and educational institutions, tapping IBM’s watsonx platform and Pearson’s massive learning infrastructure.

It’s a timely move. According to Pearson’s own research, inefficient skills development and career transitions will cost the U.S. economy $1.1 trillion in lost earnings each year—a staggering drag in a market already struggling with AI-driven job shifts, shrinking talent pipelines, and widening skill mismatches.

AI Meets Workforce Learning

Under the partnership, IBM will help Pearson develop a new AI-powered learning platform modeled after IBM Consulting Advantage. Think of it as a hybrid human + AI engine that blends expert-crafted learning content with intelligent agents, workflow automation, and data-driven insights. The goal: give learners context-aware, role-specific upskilling without the time sink of traditional training programs.

The underlying technologies include watsonx Orchestrate for workflow automation and watsonx Governance for AI guardrails—critical components as enterprises push to adopt generative AI while keeping compliance and risk mitigation intact.

For Pearson, this also represents a strategic expansion of its “learning ecosystem,” from digital credentials via Credly to predictive workforce analytics from Faethm and global certification delivery through Pearson Professional Assessments.

A Workforce Platform for IBM Customers (and Its 270,000 Employees)

As part of the agreement, Pearson becomes IBM’s primary strategic partner for customer upskilling and workforce transformation. That means IBM’s global customer base—and its own 270,000 employees—will tap Pearson’s enterprise learning stack.

This includes:

• Credly for verified digital credentials

• Faethm for strategic workforce planning and skills forecasting

• Pearson Professional Assessments, which already delivers IBM’s professional certification exams globally

Together, the combined stack could create one of the most comprehensive AI-guided learning systems available in the enterprise market.

Building Trustworthy AI for Skills Verification

The companies will also explore solutions to verify the capabilities of AI agents—an emerging pain point as enterprises increasingly rely on autonomous systems for research, decision-making, and even software development. IBM brings deep experience in responsible AI; Pearson brings more than a century of credentialing authority.

This joins a growing industry trend: as organizations race to adopt AI copilots and agents, they also need assurance that these systems perform reliably, safely, and within defined boundaries.

Why It Matters

While many tech giants—from Microsoft to Udemy Business to Google Cloud—are pushing aggressively into AI-powered learning, this partnership is noteworthy for its breadth. IBM brings enterprise-grade AI and global consulting influence; Pearson brings a learning infrastructure that’s already embedded in universities, governments, and corporations worldwide.

The result is a platform positioned to compete in both the corporate learning market and the emerging “AI skills orchestration” category—a space analysts expect to grow rapidly as companies scramble to modernize their training strategies.

Executive Perspectives

“Technology is evolving faster than human skills can keep pace… When people learn where work happens, it has an immediate impact on productivity,” said Omar Abbosh, CEO of Pearson.

“Everyone needs to build new skills for the AI era,” added IBM CEO Arvind Krishna. “Together, we’re helping companies and their teams adapt to change and succeed, while also transforming Pearson’s internal operations.”

The Bottom Line

This partnership is more than another AI-powered learning announcement—it’s a strategic bid to future-proof the workforce at global scale. With AI accelerating job transformation faster than traditional training models can respond, the IBM-Pearson play could help set a new standard for how businesses build, verify, and apply skills across the enterprise.

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Adaptiva is giving its autonomous endpoint management (AEM) platform a significant refresh with a next-generation version of OneSite Patch, designed to help IT and SecOps teams patch faster, troubleshoot less, and adopt autonomous workflows with minimal ramp-up. It’s one of the company’s biggest usability leaps yet—and a clear attempt to keep pace with the escalating demands of zero-day response and large-scale automation.

“Threat actors move faster than traditional patching ever could,” said Dr. Deepak Kumar, Adaptiva’s founder and CEO. “Organizations must shift to autonomous tech. This release delivers the intuitive, guided experience teams need to adopt it with speed and independence.”

AEM for the Real World: Simple, Guided, and Hands-Off

While the AEM market is heating up—with players like Tanium, Automox, and Microsoft pushing deeper into autonomous updates—Adaptiva is leaning squarely into UX as its differentiator. The new OneSite Patch experience lowers the barrier to entry for teams that don’t have deep configuration expertise or time to tune complex policies.

Key updates include:

A Guided Onboarding Experience

A built-in onboarding workflow walks users through product setup, patch strategy configuration, integrations, and monitoring. Think of it as an in-app tutor, reducing the need for manuals, training sessions, or backend spelunking.

Cleaner Navigation, Less Cognitive Load

A redesigned sidebar and streamlined home screen surface the most common patching actions while pushing advanced controls into a dedicated section. It’s a small detail with a big impact—especially for teams juggling multiple platforms and toolsets.

A Modernized Patching Strategy Editor

The new “What, When, How” interface replaces patching presets and scripting with declarative rules. One strategy can now apply to all OS and third-party products, complete with rings, scheduling, and approval logic. Once defined, OneSite Patch executes autonomously every time a vendor releases an update.

Real-Time Dashboards and Faster Troubleshooting

Live dashboards show deployment progress, errors, time-based metrics, and device-by-device health. One-click drilldowns make debugging far more efficient—a welcome change for teams who previously depended on log scraping and manual correlation.

Expanded Security and Control

RBAC upgrades, new role definitions, stricter permission enforcement, and quick actions for emergency remediation give teams tighter governance over autonomous operations. An integrated Emergency Kit speeds response to failed or problematic patches.

Additional Enhancements

• A Java upgrade to JRE 25

• Better handling of open applications during patching

• Consolidated rollback steps for cleaner recovery

In short, the release aims to eliminate the friction that typically slows down AEM adoption, making autonomous patching accessible even for organizations with lean IT teams.

A Push Toward Hands-Off Patch Management

“Our goal was to make OneSite Patch as intuitive and user-friendly as it is powerful,” said Jesse Rogers, Principal Engineer at Adaptiva. “Everything is self-guided and transparent, helping organizations patch smarter and faster.”

The update lands at a time when enterprises are pushing toward fully autonomous remediation pipelines to shrink vulnerability windows. As threat actors automate exploitation, patching systems need to move at least as quickly—and without human bottlenecks.

OneSite Patch supports Linux, Mac, and Windows, and is available in both SaaS and self-hosted deployments, keeping it competitive with cross-platform AEM alternatives.

Organizations can request demos on the Adaptiva website, and existing customers can upgrade via the support portal to the newly released OneSite Patch 10.0.

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