AI ambition is easy. Turning it into measurable value is where the real work begins. Join @RedHat’s virtual event, 𝘛𝘩𝘦 𝘈𝘐 𝘍𝘢𝘤𝘵𝘰𝘳𝘺: 𝘍𝘳𝘰𝘮 𝘝𝘪𝘴𝘪𝘰𝘯 𝘵𝘰 𝘝𝘢𝘭𝘶𝘦, for a practical look at how open architecture, accelerated computing and a strong partner ecosystem can support enterprise AI in production. The agenda brings together perspectives from @RedHat, @nvidia, @Dell and @TechstrongGroup on: 🔹 The current state of enterprise AI 🔹 Building an open foundation while keeping technology choices flexible 🔹 The AI Factory in action with Red Hat, NVIDIA and Dell Technologies 🔹 AI sovereignty and maintaining control 🔹 Partner solutions designed for real-world AI workloads 📅 October 15, 2026 🕦 11:30 a.m.–2:30 p.m. SGT 💻 Virtual event See how organizations can connect AI strategy with the infrastructure, platforms and ecosystem needed to deliver measurable outcomes. Register here: bit.ly/3TlaoqX #EnterpriseAI #AIInfrastructure #RedHat #NVIDIA

Enterprise commitment to AI shows no signs of abating, with 82% of enterprises expecting to increase spending and 52% now reporting positive ROI, up four points from March. A multi-model strategy has become the baseline, with six in 10 companies running multiple providers in production and Anthropic's Claude surging past OpenAI's GPT for application development at 69%. Read the full article on what the ETR data says about where enterprise AI is heading: buff.ly/gOtuLee #AI #EnterpriseAI #Anthropic #OpenAI

Recursive AI could let systems improve their own workflows, tools and agent behavior, reshaping software development without requiring superintelligence. Read the article: buff.ly/4VNwAaU and for more depth, read the whitepaper: buff.ly/u2SxpRA #RecursiveAI #AgenticAI #EnterpriseAI #AISafety #SoftwareDevelopment

A gambling company can put a help number at the bottom of an advertisement and offer spending limits, but what happens when the technology deciding who receives the next bonus offer identifies the very behavior those protections are supposed to address? The obligations of a licensed business must reach the AI making decisions on its behalf, because accountability has to survive every step from business objective to prediction to decision to action affecting someone. Read the full report on what oversight of predictive targeting actually reaches: buff.ly/tHzHAZq #AI #AIGovernance #ResponsibleAI #Gambling #TechPolicy

Microsoft introduced an overhaul of its Copilot AI platform on Friday with digital agents, built-in application creation and direct integration with Microsoft 365 core productivity tools, encapsulating a strategic shift from simple conversational chatbots toward autonomous workspace agents. The flagship Autopilot functions as an autonomous, persistent coworker that retains memory, monitors communication across Teams and Outlook and carries out multi-day assignments without human intervention, with each instance assigned a unique corporate directory identity to address security and compliance concerns. Read the full article on the overhaul and how Microsoft is positioning against Anthropic: buff.ly/tBVov1L #Microsoft #Copilot #AIAgents #EnterpriseAI

Akamai has landed its largest contract in its history, a seven-year, $11.6 billion cloud infrastructure deal with Anthropic that could top $20 billion if the AI giant exercises its option for another $9 billion. Shares surged more than 20% in after-hours trading, and the agreement includes a warrant for roughly 5% of Akamai's common stock tied to future spending milestones. Read the full article on the deal and what it signals for CPU-based AI infrastructure: buff.ly/rJUe7uP #Akamai #Anthropic #AI #CloudInfrastructure

Widespread adoption of AI in healthcare settings has added nearly $1 billion in extra expenses for health insurers over the past two years, according to a report from the Blue Cross Blue Shield Association, which found providers using tools like ambient clinical scribes to flag secondary conditions and claim higher reimbursements. The disconnect between diagnoses and treatment suggests AI is identifying more billable conditions, not sicker patients, and experts warn the automated friction between providers and insurers will push costs onto employers and consumers. Read the full article on the study and what it means for health costs: buff.ly/ynvo6g0 #AI #Healthcare #HealthTech #AIinHealthcare

Enterprises are planning for agentic AI. The next question is whether their data environments are ready to support it. Futurum Research found that 74.2% of large enterprise technology leaders have a well-formed plan for using agentic AI to achieve measurable operational efficiencies. Turning those plans into reliable execution requires more than adding agents to existing infrastructure. It requires timely business context, governed access to data and an architecture designed to support continuous decision-making. See what that foundation could look like in new research from Futurum Research and @googlecloud. 📑 Download the report: 👉 bit.ly/4hyisxE #AgenticAI #DataInfrastructure #EnterpriseAI #GoogleCloud

OpenAI's Sam Altman and Anthropic's Dario Amodei told the UN Security Council that voluntary industry restraint is fundamentally insufficient and that AI could be a risk to humanity as a whole if managed poorly. The push for enforceable global standards ran straight into a rejection from Trump, who told the General Assembly he will not stifle growth and framed AI governance as a race the U.S. is winning. Read the full article on the clash between Silicon Valley and Washington over who governs AI: buff.ly/XSHNjEu #AgenticAI #AISafety #UN #AIGovernance

Agentic AI depends on more than powerful models. It also needs fast, governed access to the right enterprise data. New Futurum Research, developed in partnership with @googlecloud, examines how data gravity and infrastructure debt can add latency, cost and operational complexity as organizations expand their use of AI. The report explores how an Agentic Data Cloud can reduce unnecessary data movement and give AI systems access to the real-time context they need. 📑 Download the report: 👉 bit.ly/4hyisxE #AgenticAI #DataCloud #EnterpriseAI #GoogleCloud

OpenAI plans to expand its use of independent safety researchers so outside organizations can examine its models during development rather than reviewing finished models awaiting release, discussing potential partnerships with METR and Redwood Research. Questions remain about how much freedom those researchers will have to select tests, examine internal systems and publish unfavorable findings, which is the difference between accountability and a review that never leaves the building. Read the full article on the expanded evaluations and what still needs to be answered: buff.ly/179yLJz #AI #OpenAI #AISafety #AIGovernance

AI agent behavior is non-deterministic by definition, so a single prompt change can degrade response quality even when standard metrics show no errors, and without full trace visibility, diagnosing why an agent took an unexpected path becomes guesswork. AWS's new CloudWatch Omni captures every step in a structured timeline with built-in evaluations for correctness, coherence and tool selection, aiming to give teams a unified view regardless of how the agent was built. Read more about how AWS is approaching agent observability: buff.ly/guZrSxm #AWS #Observability #AIAgents

Growing anxiety over existential risks has pushed AI safety to the top of the international diplomatic agenda, exposing a raw divide between corporate leaders, Western countries and political administrations. Ahead of a UN Security Council briefing, OpenAI is urging the U.S. to lead on global norms while Chinese firms dismiss the slowdown calls as a Cold War playbook. Read more about the continuing global AI regulation fight here:buff.ly/AoKtXM5 #AgenticAI #AISafety #AIGovernance #TechPolicy

Trump rejected international AI governance at the UN and called for the U.S. government to replace the term “artificial intelligence” with “super intelligence.” Read more: buff.ly/6ZvzWYL #AI #AIGovernance #AIRegulation #UnitedNations #TechPolicy

OpenAI and Anthropic launched new AI models with lower API prices, intensifying competition for enterprise and developer workloads. Read more: buff.ly/BDI5D0H #OpenAI #Anthropic #EnterpriseAI #AIModels #GenerativeAI

Open-weight models now account for 34% of enterprise AI token usage, with adoption expected to reach 41% over the next year as companies seek lower costs. Read more: buff.ly/62rQ9ta #OpenWeightAI #EnterpriseAI #Gemma #AI #AIInfrastructure

Arm has created an online portal making optimized models and tools discoverable to both AI coding agents and human developers building applications that run on its processors, with pre-trained models from Alibaba, Google and Ultralytics accessible via MCP. Processor vendors are especially keen right now to expand their ecosystems, since the next wave of AI will be far more diverse than the GPU-heavy first, and Arm is betting its chips will increasingly handle both training and the inference engines embedded in applications. Read why the portability-versus-performance tradeoff is about to land on every application team: buff.ly/ybsTuWq #AI #Arm #EdgeAI #AIApplications #Semiconductors

Open-weight models now process 56% of tokens through Vercel's AI Gateway while capturing only 14% of estimated spending, a gap that makes sense once you realize closed-weight tokens cost about 7.8 times as much and customers are perfectly willing to step down to a cheaper model when it meets the job's requirements. Even inside Anthropic's own lineup, the pricier Fable 5 lost spending share to Opus 5, which suggests pricing rather than the most impressive frontier model is becoming the real driver of adoption. See the data behind the split and why it should worry the labs: buff.ly/yeIatCg #AI #OpenSource #LLM #AIEconomics

Trump is aggressively pushing back against AI guardrails and taking a staunchly pro-industry stance at a time when his family and inner circle are amassing significant financial stakes across the AI infrastructure and defense-technology landscape. His sons have expanded into defense contracting through ventures that landed a $620 million Pentagon loan, while the president himself holds personal stock in key AI supply-chain firms outside a blind trust, and the White House denies any conflicts of interest. Dig into the deals and the policy that surrounds them: buff.ly/y593iXt #AI #AIPolicy #Trump #AIGovernance