AI News for the Week of July 10; Updates from Accenture, Google Cloud, Supermicro & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of July 10, 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 July 10, 2026
Accenture Brings Agentic AI Suite With Google Cloud To Mid-Market Companies Under $3 Billion In Revenue
Accenture Edge and Google Cloud are launching a suite of pre‑built agentic AI solutions aimed at mid‑market companies with annual revenues between $300 million and $3 billion. Running on Google’s AI stack—Gemini Enterprise, the Gemini Enterprise Agent Platform, Agentic Data Cloud, and AI Threat Defense—the offerings span six areas: customer intelligence and growth, customer experience, cybersecurity, agentic and data‑led business operations, industry‑specific applications, and workforce enablement, all pre‑integrated with platforms typical of mid‑market environments so organizations can move from pilots to production.
Read on for more→ Accenture Edge and Google Cloud bring scalable agentic AI solutions to mid-market companies
Bespoke Labs Announces $40 Million To Build The Environments That Train Reliable Agents
Bespoke Labs has raised $40 million in funding to build high‑fidelity simulation environments tailored to training and validating AI agents. The company’s focus is on creating rich, controllable environments that capture edge cases and complex dynamics, so enterprises can test agent behavior and reliability before deploying them into production workflows, treating environment engineering as a first‑class part of agentic AI stacks rather than an afterthought.
Read on for more→ Bespoke Labs announces $40M to build environments that train reliable agents
IBM Advances Enterprise AI Software Development With Multi-Agent Capabilities And Specialized Modernization Workflows
IBM is expanding its enterprise AI software portfolio with multi-agent capabilities and modernization workflows that help teams refactor legacy applications for AI‑era architectures. New tools in watsonx and related platforms are designed to orchestrate cooperating agents, analyze and transform codebases, and embed AI assistants into development and operations, giving enterprises a path to bring AI into existing systems with governance, observability, and repeatable patterns instead of ad‑hoc scripts.
Read on for more→ IBM advances enterprise AI software development with multi-agent capabilities
IBM And Red Hat Expand Lightwell To Build The Trust Infrastructure For AI-Era Open Source
IBM and Red Hat are broadening their Lightwell initiative to focus on the “trust infrastructure” needed for AI-era open source, including governance, supply chain security, and verification of AI components. The expansion aims to give organizations a framework and tooling to safely adopt AI-enabled open source software, ensuring that models, agents, and dependencies are vetted, traceable, and compliant, so AI innovation doesn’t outpace the controls required in regulated and mission‑critical environments.
Read on for more→ IBM and Red Hat expand Lightwell to build trust infrastructure for AI-era open source
LangChain And NVIDIA Launch NemoClaw Deep Agents Blueprint For Secure, Autonomous Enterprise Agents
LangChain and NVIDIA have introduced the NemoClaw Deep Agents blueprint, a reference architecture for building secure, autonomous AI agents for enterprise use. The blueprint combines LangChain’s agent frameworks with NVIDIA’s NeMo, NIM microservices, and OpenShell secure runtime to define how agents should access tools, data, and context under strict governance, giving enterprises a prescriptive way to design agents that can act independently while staying auditable and within guardrails.
Read on for more→ SUSE launches SUSE AI Factory with NVIDIA, including NemoClaw blueprint
Ollama Raises $65 Million Series B To Grow Its Open-Source AI Platform For Local And On-Prem Deployments
Ollama has secured $65 million in Series B funding to expand its open‑source AI platform that makes running models locally or on‑prem easier for developers and enterprises. With simple model packaging, local inference, and a growing ecosystem around open models, Ollama is positioning itself as a key tool for organizations that want the flexibility and privacy of running AI outside centralized cloud services while still benefiting from community innovation.
Read on for more→ Ollama raises $65M Series B funding to grow its open-source AI platform
ORNL Supports DOE ARM’s AI Overhaul With Agentic Tools And New Infrastructure For Climate And Atmospheric Research
Oak Ridge National Laboratory is supporting the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) user facility with agentic tools and new AI infrastructure. The effort focuses on bringing AI agents and data platforms to bear on climate and atmospheric datasets, enabling more automated data processing, quality control, and scientific analysis so researchers can extract insights faster while maintaining rigor and traceability.
Read on for more→ ORNL supports DOE ARM’s AI overhaul with agentic tools and new infrastructure
Rambus Enables Next-Gen AI And Data Center Platforms With DDR5-9600 Server RDIMM Chipset
Rambus has announced a DDR5-9600 server RDIMM chipset designed to meet the bandwidth and performance demands of next‑generation AI and data center platforms. By pushing memory speeds higher while maintaining signal integrity and reliability, Rambus is helping ensure that large-scale AI workloads and high‑throughput applications aren’t bottlenecked at the memory layer, complementing advances in GPUs and accelerators.
Read on for more→ Rambus enables next-gen AI and data center platforms with DDR5-9600 RDIMM chipset
Samsung Begins Mass Production Of PM1763 SSD Optimized For Next-Gen AI Infrastructure
Samsung has started mass production of its PM1763 SSD, built to handle the high I/O demands of modern AI infrastructure. With performance and endurance tuned for AI training and inference workloads, the drive is aimed at data centers running GPU‑dense systems where fast, reliable storage is critical to keeping accelerators fed and utilization high.
Read on for more→ Samsung begins mass production of PM1763 SSD optimized for next-gen AI infrastructure
Simplilearn And UC Santa Barbara Launch AI And Machine Learning Certificate Program To Upskill Professionals
Simplilearn and UC Santa Barbara Professional and Continuing Education have launched a Professional Certificate in Data Analytics & GenAI / AI & Machine Learning to help professionals build advanced AI skills. The program combines live virtual classes, structured coursework, and capstone projects covering AI-powered analytics, generative and agentic AI, automation, and cloud AI, offering a practitioner-level path for workers who need to apply AI in real business settings.finance.
Read on for more→ Professional Certificate in AI & Machine Learning | UCSB PaCE
Supermicro Simplifies Edge AI Deployments With Validated Kubernetes Appliances With Red Hat And Everpure
Supermicro has launched validated Kubernetes Edge AI appliances built in collaboration with Red Hat and Everpure, aimed at simplifying AI inferencing at the edge. The turnkey systems combine Supermicro hardware with Red Hat OpenShift and Portworx by Everpure’s Kubernetes data management for AI workloads, providing a pre‑integrated stack that customers can deploy with confidence, accelerating time‑to‑value and reducing the complexity of building secure, scalable edge AI platforms.
Read on for more→ Supermicro simplifies Edge AI deployments with validated Kubernetes appliances
UST Partners With Anthropic To Bring Claude Into Engineering And Enterprise Operations And Train 20,000 Employees
UST has entered a strategic alliance with Anthropic to embed Claude into its platforms, engineering environments, and operational workflows, with plans to train and certify 20,000 employees globally. The partnership positions Claude as an engineering and operations layer—not just an office assistant—across domains like semiconductor validation, embedded systems, manufacturing, and telecom, and ties into UST’s efforts to help Global 1000 clients become AI‑native through governed, integrated deployments rather than isolated pilots.
Read on for more→ UST partners with Anthropic to bring Claude into platforms, engineering, and operations
Vultr And SUSE Launch Validated Full-Stack NVIDIA Enterprise AI Platform To Accelerate Production Deployments
Vultr and SUSE have launched a validated full‑stack NVIDIA Enterprise AI platform that brings SUSE AI Factory with NVIDIA to Vultr’s cloud infrastructure. The joint solution offers pre‑validated blueprints, GitOps‑driven workflows, and zero‑trust security around NVIDIA AI Enterprise components such as NeMo, NIM, and NemoClaw, giving enterprises a turnkey way to build, deploy, and govern AI applications from data center to edge while meeting sovereignty and security requirements.
Read on for more→ Vultr and SUSE launch validated full-stack NVIDIA Enterprise AI platform
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.
Thought Leaders: You Cannot Give What the System Took From You by Dr. Michelle Ament
I used to be the person with the answer before anyone finished asking the question. I thought that was leadership. I was good at it. What I could not see was the cost. My certainty left no room for anyone else’s thinking. No room for the struggle or the failure that actually teaches a person something. I was not a bad leader. I was a well-trained one. That is the harder thing to sit with.
Contributor Series: How to Measure GEO: The KPIs That Matter in AI-Driven Search by Sam Richardson
The dashboard you built for SEO in 2021 is lying to you. Not because the data is wrong, but because it’s incomplete. Rankings, impressions, and click-through rates were designed to measure performance in a link-based, 10-blue-links world.
Contributor Series: Who’s Holding the Reins on Agentic AI? by Ugo Orso
According to Deloitte’s 2026 State of AI in the Enterprise report, nearly three in four companies plan to deploy agentic AI within the next two years. That statistic comes as no surprise, as leaders are understandably excited about self-directing AI agents. No-code AI technology lets organizations build systems that can manage complex workflows, make autonomous decisions in real-time, and perform tasks that previously required 24/7 human monitoring.
Contributor Series: The Biggest Challenge in Bringing AI to the Classroom isn’t Tech by Annie Chechitelli
Artificial intelligence is finding its way into classrooms faster than most educators can keep up with, and how students use it varies more than many might expect. One student turns to AI to pressure-test their argument and fill gaps in their research. Another uses it to generate a finished product they barely read before submitting. Same tool, same technology, but a fundamentally different learning experience depending on what’s happening in the classroom around it.
Contributor Series: Skills Shift: What People Need to Learn Now That AI is Here by Vlad Vaiman, Ph.D.
Conversations around artificial intelligence have largely centered on one question: Which jobs will AI replace? Optimists envision a productivity revolution in which machines handle routine work, freeing humans to focus on more meaningful activities. Pessimists warn of widespread displacement and shrinking career opportunities. Both perspectives contain elements of truth, but neither fully captures what is actually happening inside organizations.
Contributor Series: RAG’s Next Act: Retrieval Tool to Enterprise Storytelling Engine by Dipanjan Sengupta
Retrieval-augmented generation (RAG) rose to prominence in 2024 before being quickly sidelined by other artificial intelligence (AI) frameworks. But as agentic AI advances and interest in AI inference grows, RAG’s role in AI agent orchestration and cutting-edge autonomous AI agents has put it back in the spotlight.
Information Gain Series: The CIO’s Cloud-Native Mandate: Building the Infrastructure AI Actually Needs
According to Deloitte’s 2026 State of AI in the Enterprise report, nearly three in four companies plan to deploy agentic AI within the next two years. That statistic comes as no surprise, as leaders are understandably excited about self-directing AI agents. No-code AI technology lets organizations build systems that can manage complex workflows, make autonomous decisions in real-time, and perform tasks that previously required 24/7 human monitoring.
Information Gain Series: The Best AI Learning Tools Make Better Teachers, Not Fewer
This theme surfaced repeatedly during a recent Insight Jam panel discussion examining the new AI learning stack and the technologies reshaping education. While much of the market remains focused on comparing platforms and capabilities, the broader conversation pointed toward a much more important idea. The best AI learning tools are not those that replace educators. They are the ones that allow educators to spend more time doing the work only humans can do.
Information Gain Series: Why Most AI Learning Initiatives Fail Before They Start
Organizations everywhere are investing in AI. New platforms are being licensed. Pilot programs are underway. Internal policies are being drafted. Learning and development teams are experimenting with copilots, content generation, personalized learning, and workflow automation. From the outside, it appears as though AI adoption has become a straightforward progression from exploration to implementation.
Information Gain Series: The Future Belongs to People Who Know When AI is Wrong
This idea emerged repeatedly during a recent Insight Jam discussion examining how the skills landscape is changing as AI becomes embedded across education and the workforce. While much of the public conversation continues to focus on technical AI skills, the panel suggested that the defining capability of the next decade may be something much older: human judgment.
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Mini Jam Q2, 2026: AI in Practice: How L&D Are Actually Changing Broadcasts June 25-26
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 Q2, 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.
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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