AI News for the Week of October 23; Updates from BMC, SUSE, Vultr & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of October 23, 2026.
Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.
For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.
AI News for the Week of October 23, 2026
BMC Adds Mainframe Agents And Expands Governed AI Workflow Orchestration
BMC has introduced AMI Agentics for Data and Ops, bringing domain-aware investigation and recommendations into Db2, IMS, and mainframe systems administration. The agents help diagnose database issues, CPU spikes, and legacy automation while retaining human control. Control-M updates add workflow-level data validation, natural-language troubleshooting, and integrations including Amazon Bedrock AgentCore and LangGraph.
Read on for more→ BMC Advances Enterprise AI With BMC AMI Agentics and Control-M
Cisco And Fortanix Extend Verifiable Confidential AI To Kubernetes Workloads
Fortanix Confidential AI now supports CNCF Confidential Containers, adding attestation and controlled key release to Kubernetes workloads running inside hardware-based trusted execution environments. Within Cisco Secure AI Factory with NVIDIA, the architecture verifies CPU, GPU, and software measurements before releasing decryption keys, protecting data and model weights while they are in use. Developers retain standard Kubernetes workflows, while security teams gain cryptographic evidence of runtime protections. Deployment options include SaaS, on-premises, and fully air-gapped environments for regulated and sovereign AI use cases.
Read on for more→ Cisco and Fortanix Help Make Confidential AI Verifiable From Data to Kubernetes
DDN And Nebul Reuse Model Context Across GPU Fleets To Accelerate Sovereign Inference
European AI cloud provider Nebul is using DDN Infinia to store and reuse inference KV cache across its NVIDIA-powered GPU fleet, reducing the need to recompute previously processed context. Vendor-reported testing showed nearly tenfold faster time to first token than Nebul’s CPU-and-memory cache, 2.5 times more input tokens per second from the same GPUs, and nearly 60% lower cost per million input tokens. Stored context retains tenant and dataset controls and can be restored when workloads move between GPU servers.
Read on for more→ DDN and Nebul Accelerate Sovereign AI Inference With DDN Infinia
Dell Expands NVIDIA AI Factory Across Deskside Agents And Data-Center Infrastructure
Dell has announced new software, services, deskside systems, and purpose-built infrastructure for running enterprise agents on customer-controlled hardware. Validated deployment templates support environments ranging from individual developers to more than 1,000 systems, while a new 64GB Pro Precision with GB10 configuration broadens local development options. Data-center additions include a modular AI Factory reference design, Vera CPU-based PowerEdge systems for orchestration and tool execution, and a planned Groq 3-based inference system, separating agent execution needs from model inference at larger scale.
Read on for more→ Dell Advances Enterprise Agentic AI From the Deskside to Data Center With NVIDIA
Denodo Study Models 290% Return From A Governed AI Data Layer
A Veqtor8 study published by Denodo projects a 290% return on investment over three years from using a governed AI data layer to support enterprise agents. Based on practitioner and partner interviews, the composite model scales from 100 to 900 agents across 100 distributed sources and reports threefold faster deployment and 68% lower AI operating costs. The modeled savings come from reusable data products, centralized policies, and smaller context payloads rather than custom integrations for every agent; the figures represent a composite scenario, not guaranteed customer results.
Read on for more→ Denodo Study Finds 290% AI Data Layer Return on Investment
DoubleAI Introduces Runtime Optimization Models That Rewrite Machine Instructions
DoubleAI has introduced Code Execution Models and opened early access to Maxwell, a system that optimizes running programs without changing their source code. Maxwell inspects hardware, data, and execution behavior, then rewrites underlying machine instructions; the company says every optimization is formally verified to preserve program behavior. DoubleAI reports more than 38-fold acceleration for selected data pipelines and more than 4.5-fold acceleration for selected AI inference kernels, positioning runtime adaptation as a way to extract more useful work from existing CPUs and GPUs.
Read on for more→ DoubleAI Unveils Code Execution Models to Improve Hardware Utilization
HPE Plans Lunar HPC Benchmarks And AI Testing With Spaceborne Computer-4
HPE plans to send its fanless, GPU-equipped Spaceborne Computer-4 to the lunar south pole aboard an Astrolab rover, targeting a late-2026 launch and what it calls the first HPC benchmarks on the Moon. Planned workloads include LINPACK and HPCG, LLM retrieval-augmented generation, vision inference, and LiDAR processing. NASA will test distributed AI models and onboard document processing, while Deloitte will evaluate cyber-intrusion detection. The mission explores processing data locally where Earth communications are constrained; detailed performance targets and chip specifications remain undisclosed.
Read on for more→ HPE Says It Will Run the First Supercomputer Benchmarks on the Moon
IBM Ventures Backs Leena AI’s Autonomous Back-Office Workflow Platform
IBM Ventures has made a strategic investment in Leena AI to support expansion of its AI Colleague platform, which resolves employee requests and executes multistep workflows across HR, IT, and finance systems. Integrations include SAP, Workday, Salesforce, Oracle, and ServiceNow, positioning the platform around completing processes rather than answering questions alone. Leena AI says it serves more than 500 enterprises globally; the investment amount was not disclosed, and IBM described the platform as complementary to its work in AI orchestration and governance.
Read on for more→ IBM Ventures Invests in Leena AI to Accelerate Agentic AI Across the Enterprise Back Office
Linux Foundation Survey Finds Faster AI-Assisted Coding Is Increasing Maintainer Pressure
Linux Foundation Research reports that generative AI reduces respondents’ estimated code-authoring time by 52%, but maintainers consider 25% of incoming pull requests low-quality “AI slop,” rising to 31% in large projects. Although 59% of maintainers report growing contribution volume, only 35% of projects have a formal policy permitting AI use. The findings highlight a gap between faster individual development and sustainable project maintenance, with the report calling for clearer disclosure, contributor testing, verification standards, and continued investment in human mentorship.
Read on for more→ New LF Research Survey Shows Generative AI Cuts Open Source Coding Time in Half, but 25% of Incoming Pull Requests Are Considered AI Slop
New Relic Finds One In Five Financial Firms Run Production AI Agents Without Monitoring
New Relic’s 2026 Observability Forecast for Financial Services found that 22% of surveyed financial services organizations run AI agents in production without monitoring. Based on 278 industry respondents within a global study of 2,575, the report identifies security, governance, risk, and compliance as the sector’s leading observability drivers, followed by AI applications and agents. Although current AI monitoring trails the global average, respondents’ stated plans point to substantial expansion over the next year, underscoring the gap between deploying autonomous systems and maintaining operational oversight.
Read on for more→ New Relic Report Finds Compliance and AI Governance Drive Observability Demand in Financial Services
Nutanix Expands AI Infrastructure Partnerships To Simplify Private Production Deployments
Nutanix has announced collaborations with NVIDIA, Supermicro, and Netris to reduce the complexity and cost of deploying production AI. Plans include Day Zero support for NVIDIA Vera CPUs with Nutanix Kubernetes Platform on bare metal, a jointly engineered Supermicro system for private inference, and Netris network automation for multitenant GPU infrastructure. The initiatives combine compute, storage, Kubernetes, security, and AI platform services, targeting enterprises and service providers that need predictable agent execution, tenant isolation, and simpler operations across virtualized and bare-metal environments.
Read on for more→ Nutanix Builds a Faster Foundation for Production AI
ServiceNow Launches Arc And Extends NVIDIA Partnership For Runtime And Hardware Enforcement
ServiceNow has made Arc, a personal long-running enterprise agent, generally available within EmployeeWorks at no additional cost across Foundation, Advanced, and Prime tiers. Arc plans and executes work across enterprise tools, develops memory and skills, and operates under policies enforced through NVIDIA OpenShell; Mac support is live, with Windows expected within weeks. A future AI Passport release will extend authorization and revocation enforcement across OpenShell and NVIDIA BlueField hardware, distinguishing Arc’s current availability from the broader planned software-and-silicon governance architecture.
Read on for more→ ServiceNow Delivers Personal Enterprise Agent and Policy Enforcement With NVIDIA, Extending AI Governance Across Software and Silicon
SUSE Adds NVIDIA-Based Agent Security And Linux Support For Sovereign Enterprise AI
SUSE has announced new capabilities for SUSE AI Factory with NVIDIA, combining NVIDIA OpenShell reference architecture integration with SUSE Linux Enterprise Server for NVIDIA. The security architecture governs agent execution within private infrastructure, using access policies, Kubernetes sandboxing, and API gateways to help protect proprietary data and intellectual property.
Read on for more→ SUSE Brings Sovereign Control to Enterprise Agentic AI With NVIDIA
Vultr Expands Identity, Auditing, And Infrastructure Controls For Production AI Agents
Vultr is rolling out platform updates aimed at moving agentic AI from proofs of concept into production, including OAuth-based application access, SCIM identity provisioning, and audit logs covering both human users and agents. Cloud VPN will connect workloads to external data centers and client devices, while bootable block storage for VX1 instances—and planned GPU support—will simplify replication and provisioning. Additional cluster, marketplace, and Slack support updates position the platform around operational controls as well as access to compute.
Read on for more→ Vultr Expands to Run Agentic AI in Production
Expert Insights
Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.
Mesh Lab 7 On-Deman: Ban, Restrict, or Prepare? Rethinking AI Access in Education
In Episode 7 of the Mesh Lab, host Dr. Michelle Ament leads an expert panel examining whether educators should ban, restrict, or prepare students for generative AI. The discussion argues that outright bans are shortsighted fixes that leave learners unprepared for an evolving workforce. Instead of assessing easily automated final outputs, schools must shift focus toward the learning process itself, developing adaptable, critical thinkers who can collaborate with intelligent tools without outsourcing their human judgment.
Solutions Review Set to Host Kaseya for Exclusive Spotlight Show “Scale Fast, Stay Safe: The Playbook for the AI Era” on November 5
Johnny Ghibril, GM of Endpoint Solutions at Kaseya, shares a practical playbook for using AI without losing control. Learn why the RMM is the right place to start, how to progress from AI-assisted insights to verified remediation, and how to build in human approval points where they matter. See a live demo of a single-prompt ticket workflow, plus how the same approach extends to continuous compliance.
Solutions Review Set to Host Radware for Exclusive Spotlight Show “Securing Healthcare’s AI Era” on November 19
This webinar will examine how these gaps put patient data, digital services and organizational resilience at risk. Attendees will learn how an integrated security strategy can help healthcare organizations govern and protect agentic AI, secure applications and APIs, manage AI crawlers and sophisticated bots, and defend against increasingly sophisticated application and Web DDoS attacks.
EdTech Series: The AI That Improves Learning Doesn’t Remove Thinking by Rosie Riveters’ Brittany Greer
The question facing schools is no longer simply whether students will use artificial intelligence. It is whether that use will improve what students learn. It is surprisingly easy to confuse a better product with a better learning outcome. AI can help a student finish an assignment faster or produce more polished writing. But neither proves that the student understands more.
EdTech Series: AI in Education: What’s Actually Improving Learning? by Pocket Prep’s Michelle Marlowe, PMP
At Pocket Prep, we help people prepare for certification exams that determine whether they get licensed, promoted, or hired, and most already use AI in some form. As the person responsible for ensuring our learners pass exams and retain the knowledge they need to apply it in the field, I am always researching best practices for implementing AI in education. AI improves learning when it’s designed to make the learner do the thinking, and it gets in the way when it does the thinking for them.
EdTech Series: AI Can Solve Homework, But Can the Student Pass the Test? by Vibeke Gwendoline Faengsrud
I failed high school math. Over the next 20 years, I earned a master’s degree in mathematics, wrote 11 books on the subject, and delivered a TEDx Talk about mathematics learning. None of that happened with artificial intelligence.
EdTech Series: Mission-Driven AI Policymaking in Education by Salena Davis
Policymakers must have hated Gutenberg. Imagine how many wars and conflicts may have been avoided if “right policies” were in place before the advent of the printing press! And yet, nearly 600 years later, we still haven’t figured out a formula for developing policies and procedures quickly enough to keep pace with technological developments.
EdTech Series: AI in Education: What’s Actually Improving Learning? by Kimberley Langen
A student sits down with a difficult math problem, opens an AI chatbot, and has the correct answer within seconds, complete with steps that look reasonable and an explanation that reads clearly, so the homework gets finished and the technology appears to have made learning easier. Ask that same student to solve a similar problem with the chatbot closed, and you will likely see something very different.
EdTech Series: When AI Tutoring Helps: Timing Support Around the Learner by Meryll Dindin
In kindergarten through grade 12, the work of instruction is building cognition itself: attention, working memory, the capacity to hold an argument long enough to write it down. An adult who hands a spreadsheet formula to an assistant loses little. A 12-year-old who hands over the reasoning step skips the exercise the lesson was built around, which makes timing a central design decision in a tutor.
EdTech Series: The Best AI Tool in the Classroom is the Teacher by Webs Weber
AI on its own likely doesn’t help learners learn. In a skilled educator’s hands, it widens translation, accessibility, and the teacher’s reach. Ask whether AI improves learning and you’ll get two loud answers, one from the people selling it and one from the people banning it. The truth, as is often observed, falls somewhere in between.
EdTech Series: AI in Education: What’s Actually Improving Learning? by Madhavi Chandra
When higher education leaders talk about artificial intelligence and learning, the conversation usually moves quickly to the classroom. We hear about AI tutors, personalized instruction, course content and new ways faculty might use technology to understand where students are struggling.
EdTech Series: AI in the Classroom: Transforming Teaching and Empowering Students by Chloe Peng
Artificial intelligence (AI) is being used in almost every industry, so it’s no surprise that it’s also making its mark in the field of education. According to Study.com, 84% of educators are actively using AI tools in the classroom, and 74% of educators plan to increase their usage in the coming school year.
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Mini Jam Q3, 2026 On-Demand: Education in the Age of Abundant Intelligence
AI is quickly moving from experimentation to operational reality across education, workforce development, and practitioner learning environments. What began as a conversation around tools has evolved into a much larger transformation involving skills, implementation strategies, institutional design, and the future structure of learning itself. All-in, Mini Jam Q3, 2026 provides an unparalleled opportunity to gain insights, engage with experts, and stay at the forefront of the conversation on the human impact of AI on education.
1 Million Views: Insight Jam Surges Past 1 Million Site Views & 10 Million on YouTube by Tim King
We’re thrilled to announce that Insight Jam has officially surpassed one million views on Insightjam.com, reaching the milestone at nearly the same time the Insight Jam YouTube channel crossed 10 million lifetime views and more than 1,000 published videos. All this after the Solutions Review channel reached the 250,000 subscriber milestone earlier this year.
Solutions Review Announces New EdTech Site on the Future of Work and Learning
The site will provide ongoing editorial, expert thought leadership, research-driven analysis on the state of EdTech, and awards programming through Mesh Awards to cover fully this transformation. Solutions Review EdTech will also house information gain from quarterly virtual events, expert panels, podcasts, and more from its sister brand Insight Jam (1M+ on YouTube), the home for the human conversation.
We Didn’t Build Solutions Review for AI, We Built it for Buyers by Tim King
A nuclear bomb has been exploded in not only digital marketing, but enterprise tech buying. Buyers increasingly discover information through AI search and their favorite GenAI bot, social media platforms like LinkedIn, and synthesized answers rather than lists of blue links. Visibility still matters, but the question is evolving from “Can you rank?” to “Can you be anchored as trusted a source?”
Insight Jam’s Mesh Lab Episode 5 Now Available: Human-Centered Environments
The conversation shifts beyond standard pedagogy to address the existential crisis facing students and workers as AI disrupts traditional ideas of productivity and purpose. Panelists emphasize the urgent need to stop measuring final outputs and instead focus on the creative, collaborative process of learning. Ultimately, the group argues that to foster uniquely human skills like adaptability in students, educators must first be granted the autonomy to exercise those exact same skills.
Solutions Review Editors Publish New Whitepaper – Authority with Video & How Marketers Win GenAI Search
This is a market-presence strategy for enterprise marketers who want to move from campaign execution to category influence and even niche building, while also positioning their brands for visibility inside the large language models that increasingly shape how buyers discover, evaluate, and shortlist enterprise tech solutions.
Solutions Review Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI
Solutions Review has officially surpassed 250,000 subscribers on YouTube, a milestone that’s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy centered on authoritative video, human-led insight, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.
Solutions Review Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI
Artificial intelligence is everywhere—but understanding its human impact has never been more urgent. That’s where Solutions Review‘s latest newsletter, The Human-AI Ledger, comes in. Designed to chronicle how AI is reshaping the way we learn, work, lead, and live, this newsletter explores the soft side of AI—the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.
Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.
How One Solutions Review Article Reshaped AI Answers Across an Entire Software Category
Something just happened in the AI search landscape that most companies will miss. But the ones who understand it will have a multi-year advantage. In January, Solutions Review recorded a 324 percent increase in media domain citations across AI answer engines in less than 30 days.
For consideration in future AI news roundups, send your announcements to the editor: tking@solutionsreview.com.
Tim King
Executive Editor
Tim is Solutions Review's Executive Editor covering the human impact of AI on the future of work and learning. He is also the Media Strategist behind Insight Jam (1M+ on YouTube) events and programming. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in multiple categories, Tim is a recognized thought leader in enterprise tech and AI.
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