AI
articles
“Mind the Gap” – The Man in the Middleware
Intel’s Lynn Comp looks past the hype to explore AI’s real business impact, questioning its future potential: will AI drive ROI, or is it merely middleware destined to be absorbed into the stack?
DeepSeek: AI Disruptor or Geo-Political Salvo?
China’s new open-source generative AI, DeepSeek, claims efficiency breakthroughs that challenge U.S. AI dominance, raising questions about innovation, transparency, and geopolitical stakes.
3 Key Takeaways from Chiplet Summit 2025
Global tech leaders reveal how chiplet-based architectures, advanced packaging, and industry collaboration are reshaping AI scaling, semiconductor design, and the future of computing.
Phishing: The Golden Ticket to Bypassing Security
In Part 2 of his phishing series, Cyber Innovator Sean Grimaldi explores how phishing is growing in sophistication and why these scams remain effective in preying on individuals and organizations.
What’s in a Name – Why AI Terms Matter
In her latest blog, Gina Rosenthal explores how AI is driving economics, politics, and computing, while demystifying key concepts to help navigate AI’s growing impact on society and technology.
Transforming Data Centers to Meet the AI Imperative
In this Great Debate, three industry leaders delve into enterprise adoption of AI in 2025, and the compute infrastructure needed to support its scale-out.
AI Didn’t Break Your Data Platform; It Exposed Your Data Debt
Enterprise AI doesn’t create fragility; it reveals undocumented assumptions, missing ownership, and invisible pipeline debt. Fix the foundations and AI gets cheaper, faster, and more trusted.
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Podcasts
MLCommons’ Peter Mattson on the New AILuminate AI Safety Benchmark
In this podcast, MLCommons President Peter Mattson discusses their just-released AILuminate benchmark, AI safety, and how global collaboration is driving trust and innovation in AI deployment.
Bloor Group CEO Eric Kavanagh's 2025 enterprise AI Predictions
In this episode, Eric Kavanagh anticipates AI's evolving role in enterprise for 2025. He explores practical applications, the challenges of generative AI, future advancements in co-pilots and agents, and more.
Forecasting HPC, AI, and Next-Gen Weather Models with Peter Dueben
Peter Dueben of European Centre for Medium-Range Weather Forecasts explores the role of HPC and AI in advancing weather modeling, tackling climate challenges, and scaling predictions to the kilometer level.
MLCommons’ David Kanter on Benchmarking AI, Accelerating Innovation
David Kanter discusses MLCommons' role in setting benchmarks for AI performance, fostering industry-wide collaboration, and driving advancements in machine learning capabilities.
OCP Insights with Scott Shadley: AI, Collaboration & Storage
Join Allyson Klein and Jeniece Wnorowski in this episode of Data Insights as they discuss key takeaways from the 2024 OCP Summit with Scott Shadley, focusing on AI advancements and storage innovations.
Insights on AI & Sustainability from Jonathan Koomey
Jonathan Koomey of Koomey Analytics shares insights on AI’s role in energy efficiency, sustainability, and the tech sector’s potential to address climate challenges in this must-listen episode.
How Hedgehog Brings Hyperscaler Networking to Enterprise AI
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
Nebius at SC25: Building the Neocloud for Enterprise AI
From SC25 in St. Louis, Nebius shares how its neocloud, Token Factory PaaS, and supercomputer-class infrastructure are reshaping AI workloads, enterprise adoption, and efficiency at hyperscale.
Inside Runpod’s GPU Cloud for Long-Running AI Agents
Runpod head of engineering Brennen Smith joins a Data Insights episode to unpack GPU-dense clouds, hidden storage bottlenecks, and a “universal orchestrator” for long-running AI agents at scale.
Walmart and Cornelis Expose the Costs of Network Inefficiency
Billions of customer interactions during peak seasons expose critical network bottlenecks, which is why critical infrastructure decisions must happen before you write a single line of code.
Giga Computing on Rack-Scale AI: From Training to Inference
Recorded at #OCPSummit25, Allyson Klein and Jeniece Wnorowski sit down with Giga Computing’s Chen Lee to unpack GIGAPOD and GPM, DLC/immersion cooling, regional assembly, and the pivot to inference.
Data Insights at OCP: DataraAI on Edge Robotics
Durgesh Srivastava unpacks a data-loop approach that powers reliable edge inference, captures anomalies, and encodes technician know-how so robots weld, inspect, and recover like seasoned operators.
