AI
articles
‘Open to Work’: The Quickening of AI & the Future of Jobs
From Intel’s layoffs to stealth automation, AI is reshaping work at a pace that outstrips human adaptation—driving record stress, uneven gains, and a scramble to reskill before the next downturn hits.
Lightwave Logic’s Robert Blum on Polymer Optics for AI
Allyson Klein and Robert Blum of Lightwave Logic unpack how electro-optic polymers, paired with silicon photonics, lower power and boost density on the road to 400G-per-lane optics— with a 2027 volume ramp in sight.
Privacy-First AI in Healthcare: Optum’s Dr. Rohith Vangalla
From federated learning and zero-trust to confidential computing, Dr. Rohith Vangalla shares a practitioner’s playbook for explainable, scalable AI that moves healthcare from reactive to proactive.
Permission Debuts a Digital Mini-Me for the Agentic Era
Permission Agent turns user-approved signals into auditable datasets—paying contributors in $ASK—so teams can train and personalize AI with verifiable consent and enforceable revocation.
Ai4 2025: Agents, RAG, and the Enterprise AI Reality Check
From arena keynotes on education and RAG to 50 tracks and 250+ exhibitors, Ai4 2025 leans into agentic systems, governance, and real-world deployments for buyers who need proof, not promises.
Verizon Business’ Nikhil Tyagi on Edge AI Innovation
Nikhil Tyagi of Verizon Business discusses scaling AI at the edge, from small language models and multimodal experiences to infrastructure challenges and adaptive inference.
MLPerf Training v5.1: GenAI Drives, Scale Ramps, Field Widens
Two new genAI tests (Llama 3.1 8B, Flux.1) align with production stacks as multi-node results climb. NVIDIA posts many fastest times; University of Florida, Wiwynn, and Datacrunch expand the ecosystem.
Wanjiku Kamau on Her Book: Out of the Loop, Into the Algorithm
Allyson Klein talks with author and Google/Intel alum Wanjiku Kamau on moving past AI skepticism, learning fast, and using new tools with intention—so readers start where they are and explore AI with hope.
Cooling the Future: Where Does Cold Plate End and Immersion Begin?
AI racks are blowing past air’s limits. Here’s a frank framework for when cold plate still wins, when it fails, and how to plan the pivot to immersion—without stranding today’s investments.
How Financial Services Can Responsibly Scale AI
FinTech expert Anusha Nerella shares insights on staying ahead of fraud, navigating regulation, and building collaborative teams to scale responsible AI across the financial services sector.
Cyber Conflict vs War on Drugs: Mitigating the Unwinnable
Nat-sec cyber innovator Sean Grimaldi compares the cyber war to the War on Drugs: incentives persist; adversaries adapt. What if we shifted the goal from zero breaches to rapid detection, containment, and recovery?
Inside Cornelis Networks’ Focused Fight to Redefine AI Performance
Under CEO Lisa Spelman, Cornelis turns constraints into a competitive weapon, delivering speed, precision, and a customer-obsessed purpose in the high-stakes AI infrastructure arena.
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Podcasts
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.
Cornelis Networks & AMD on Scaling AI Without the Chaos
From CPU orchestration to scaling efficiency in networks, leaders reveal how to assess your use case, leverage existing infrastructure, and productize AI instead of just experimenting.
Cornelis and OCP Examine Why AI Infrastructure Must Evolve
From the OCP Global Summit, hear why 50% GPU utilization is a “civilization-level” problem, and why open standards are key to unlocking underutilized compute capacity.
How Axelera Scales Inference From Edge to Data Center
In the Arena: Allyson Klein with Axelera CMO Alexis Crowell on inference-first AI silicon, a customer-driven SDK, and what recent tapeouts reveal about the roadmap.
Data Insights: AI in Healthcare with Dr. Rohith Vangalla
In this episode of Data Insights, host Allyson Klein and co-host Jeniece Wnorowski sit down with Dr. Rohith Vangalla of Optum to discuss the future of AI in healthcare.
Metrum AI’s Steen Graham on Multi-Agent AI and Smarter Storage
From OCP Summit, Metrum AI CEO Steen Graham unpacks multi-agent infrastructure, SSD-accelerated RAG, and the memory-to-storage shift—plus a 2026 roadmap to boost GPU utilization, uptime, and time-to-value.
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.
Cornelis Networks & AMD on Scaling AI Without the Chaos
From CPU orchestration to scaling efficiency in networks, leaders reveal how to assess your use case, leverage existing infrastructure, and productize AI instead of just experimenting.
Cornelis and OCP Examine Why AI Infrastructure Must Evolve
From the OCP Global Summit, hear why 50% GPU utilization is a “civilization-level” problem, and why open standards are key to unlocking underutilized compute capacity.
How Axelera Scales Inference From Edge to Data Center
In the Arena: Allyson Klein with Axelera CMO Alexis Crowell on inference-first AI silicon, a customer-driven SDK, and what recent tapeouts reveal about the roadmap.
Data Insights: AI in Healthcare with Dr. Rohith Vangalla
In this episode of Data Insights, host Allyson Klein and co-host Jeniece Wnorowski sit down with Dr. Rohith Vangalla of Optum to discuss the future of AI in healthcare.
Metrum AI’s Steen Graham on Multi-Agent AI and Smarter Storage
From OCP Summit, Metrum AI CEO Steen Graham unpacks multi-agent infrastructure, SSD-accelerated RAG, and the memory-to-storage shift—plus a 2026 roadmap to boost GPU utilization, uptime, and time-to-value.
