AI
articles
A Mutiny of AI Silicon Innovation at AI HW and Edge Summit
Allyson Klein discusses the imperative for industry silicon innovation to fuel the historic requirements for fueling AI.
Oii: AI Driven Supply Chain that Shifts with the Market
TechArena’s take on how AI will shape supply chain management and Oii’s solution offering real-time supply oversight.
Going Down the Rabbit Hole with ChatGPT
TechArena questions its existence in a world of ChatGPT and puts the OpenAI tool to the test.
TechArena’s Three Innovations You Need to Know about Heading into 2023
What will shape technology conversation in 2023? TechArena provides a few candidates for biggest disruptors across the tech landscape.
May the Odds be Ever in Your Favor
With fantasy sports representing a greater than $45 billion dollar industry by 2027, any advantage in recommendations can represent reward. Enter WalterPicks, an AI driven model that delivers superior recommendations for fantasy league players.
Improving Mental Health with AI
What is technology’s role in improving mental healthcare quality? TechArena host Allyson Klein chats with Lyssn co-founder Zac Imel to find out how AI may reshape how we view therapy.
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.
TechArena’s ‘In the Arena’ Podcast Wins a Stevie® Award
Our flagship podcast earned a Stevie® in the International Business Awards® annual competition; judges called out the show’s high production quality, editorial clarity, and guest caliber.
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.
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Podcasts
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.
How Rose-Hulman Modernized Its Data Center for Student Success
Rose-Hulman Institute of Technology shares how Azure Local, AVD, and GPU-powered infrastructure are transforming IT operations and enabling device-agnostic access to high-performance engineering software.
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.
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.
How Rose-Hulman Modernized Its Data Center for Student Success
Rose-Hulman Institute of Technology shares how Azure Local, AVD, and GPU-powered infrastructure are transforming IT operations and enabling device-agnostic access to high-performance engineering software.
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.
