AI
articles
Stanford’s Daniel Wu on the Future of AI Infrastructure
Stanford’s Daniel Wu unpacks AI democratization — exploring agentic & embodied AI, multi-modal models, and trustworthy systems. Learn more at Daniel’s AI Infra Summit 2025 live presentation.
CoreWeave Goes Vertical With $9B Core Scientific Deal
CoreWeave acquires Core Scientific in a $9B all-stock deal, unlocking 1.3 GW of power and advancing its vision of vertically integrated AI infrastructure for next-gen hyperscale workloads.
Clio Acquires vLex for $1B in Legal Tech’s AI Data Arms Race
A bold $1B move unites Clio and vLex to build the first AI-native platform connecting legal practice with firm management — signaling a new era of AI-driven legal transformation.
Google’s AlphaGenome Shines a Light on DNA ‘Dark Matter’
Google DeepMind's AlphaGenome uses AI to decode the mysteries of non-coding DNA — a leap that could transform how we understand disease, evolution, and what it means to be human.
Intel's AI Marketing Move: Sign of the Times or CEO Sideshow?
Intel's decision to outsource marketing to Accenture and generative AI sparks debate: is this a visionary leap into the future of work or a symptom of a deeper retreat from innovation leadership?
Who’s Who in the AI Zoo?
Feeling overwhelmed by AI? You’re not alone. This new series cuts through the hype to explore practical tools, evolving trends, and smart strategies to help you navigate the AI ecosystem.
Physical AI in Production: Datara AI’s Data-Loop Edge Playbook
Physical AI is leaving the lab for the line. Datara AI’s edge-first data-loop playbook—real-time inference, disciplined updates, and human-centered rollout—turns pilots into reliable, scalable uptime.
Inside the New Rules of Responsible AI Governance
AI now informs credit, healthcare, and fraud decisions. This piece unpacks US and EU rules, core principles, and how Responsible AI governance can be a competitive edge, not just compliance.
Efficiency: The New Moat for Data and AI Teams
Cloud waste, FinOps, and sustainability goals are reshaping data engineering. Teams that design efficient stacks, track cost and energy, and treat constraints as features will ship more with less.
Resilience in the Age of AI: Inside Commvault’s ResOps Pitch
At Commvault SHIFT, “ResOps” and AI resilience were framed as the next operating model for enterprises facing AI-driven threats and cloud sprawl, raising the bar for what “clean” recovery should mean.
Inside the New Product DNA: AI, Causality, Experimentation
AI is turning product development into a living, experiment-led system, where causal inference, data and automation form a feedback loop that learns from releases to build smarter products faster.
15 Questions Every Cybersecurity Leader Should Ask on Day One
Stepping into a new cybersecurity leadership role, the smartest first move isn’t a new tool or policy, but questions. Use these 15 to map risk, culture, and influence before you start changing anything.
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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.
