AI
Highlights
The Evolution of AI in ADAS 2.0
Autonomous vehicles reduce accidents by using sensor fusion (cameras, radar, LIDAR) for better perception. Advances in AI, including CNNs and vision transformers, will enhance safety and performance.
3 Key Trends We're Seeking from AIHW and Edge Summit Next Week
We’re honed in on these trends for 2025: Will NVIDIA GPUs face real competition? What innovations will we see in AI fabric? And how will our planet support the power-hungry future of AI?
Sometimes We Wonder What Intelligence is Artificial
Jim Fister writes that AI's success relies on careful data management and strategic application rather than simply relying on AI to solve problems. He stresses the importance of data structure and veracity in generating meaningful insights.
Taboola Taps AI to MicroTarget Advertising
Allyson Klein recaps an insightful conversation with co-host Jeniece Wnorowski and Ariel Pisetzky, VP of information technology and cyber at Taboola, about the transformative impact of data and AI on ad placement.
Catching Up with Urban Machine and AI Fueled Construction Reclamation
Urban Machine, featured on the TechArena podcast, uses AI and robotics to repurpose lumber, reducing construction waste. Recognized at SXSW, they won the 2024 Mighty Materials Award and seek $20M in EPA funding. Listen to our podcast with CTO Andrew Gillies.
How Health Technology Innovations, Inc. is using AI to accelerate pharma research
Discover how AI is transforming pharma research, accelerating drug development, and reducing costs. This blog highlights key innovations like Health Technology Innovations, Inc.'s Cryo-FAST platform, which speeds up early-stage research. Learn about AI's impact through real-world examples of collaboration and implementation.
Giving Hardware a Second Life with Sims Lifecycle Services
At OCP Dublin, Sims Lifecycle’s Sean Magann shares how memory reuse, automation, and CXL are transforming the circular economy for data centers—turning decommissioned tech into next-gen infrastructure.
Will OCP Infiltrate NeoCloud?
With AI-specific infrastructure on the rise, OCP must evolve beyond hyperscale to meet the needs of a new wave of providers. Neo-cloud is growing fast—can the standards keep up?
Silicon at the Edge of Innovation
From NVIDIA’s quiet but massive influence to Fractile’s in-memory vision, MRAM, and next-gen power delivery—OCP Dublin gave us a glimpse into the future of AI-driven data center design.
OVHcloud Brings Carbon Transparency to the Cloud
At OCP Dublin, OVHcloud’s Gregory Lebourg shares how the company is giving customers real-time visibility into the carbon impact of their cloud workloads — before they even hit deploy.
Intel’s Lynn Comp on Agentic AI: How Enterprises Can Prepare
Agentic AI is reshaping enterprise data, infrastructure, and governance. Intel’s Lynn Comp joins TechArena to explore how organizations can get ahead of the coming wave of change.
Creating a Foundation for End-to-End AI Security Solutions
As GenAI adoption accelerates, organizations must rethink security from the silicon up to safeguard trust, compliance, and the integrity of AI-driven decisions.
.svg)
Podcasts
AI Infra 2025: David Glick on Building Walmart’s Future with AI
In this episode of In the Arena, David Glick, SVP at Walmart, shares how one of the world’s largest enterprises is fostering rapid AI innovation and empowering engineers to transform retail.
Rafay’s Haseeb Budhani on Building the Future of AI Infrastructure
Haseeb Budhani, Co-Founder of Rafay, shares how his team is helping enterprises scale AI infrastructure across the globe, and why he believes we’re still in the early innings of adoption.
From AI Infra: AI Strategy, Security, & Human Impact with Daniel Wu
Direct from AI Infra 2025, AI Expert & Author Daniel Wu shares how organizations build trustworthy systems—bridging academia and industry with governance and security for lasting impact.
Carrier’s Arun Nandi on Early AI Adoption and the Infra Edge
Recorded at AI Infra Summit 2025 in Santa Clara: Carrier CDAO Arun Nandi on infra as AI’s backbone, how early adopters win on ROI and speed, and what changed in the last 12–24 months.
Inside Data-Centric Strategy with Equinix and Solidigm
Equinix’s Glenn Dekhayser and Solidigm’s Scott Shadley join TechArena to unpack hybrid multicloud, AI-driven workloads, and what defines a resilient, data-centric data center strategy.
Powering AI: Solidigm’s Vision for the Future of Storage
Industry leader Scott Shadley reveals how Solidigm’s innovations in SSDs, partnerships, and architecture are reshaping data centers to meet the rising demands of AI, edge, and enterprise workloads.
AI Infra 2025: David Glick on Building Walmart’s Future with AI
In this episode of In the Arena, David Glick, SVP at Walmart, shares how one of the world’s largest enterprises is fostering rapid AI innovation and empowering engineers to transform retail.
Rafay’s Haseeb Budhani on Building the Future of AI Infrastructure
Haseeb Budhani, Co-Founder of Rafay, shares how his team is helping enterprises scale AI infrastructure across the globe, and why he believes we’re still in the early innings of adoption.
From AI Infra: AI Strategy, Security, & Human Impact with Daniel Wu
Direct from AI Infra 2025, AI Expert & Author Daniel Wu shares how organizations build trustworthy systems—bridging academia and industry with governance and security for lasting impact.
Carrier’s Arun Nandi on Early AI Adoption and the Infra Edge
Recorded at AI Infra Summit 2025 in Santa Clara: Carrier CDAO Arun Nandi on infra as AI’s backbone, how early adopters win on ROI and speed, and what changed in the last 12–24 months.
Inside Data-Centric Strategy with Equinix and Solidigm
Equinix’s Glenn Dekhayser and Solidigm’s Scott Shadley join TechArena to unpack hybrid multicloud, AI-driven workloads, and what defines a resilient, data-centric data center strategy.
Powering AI: Solidigm’s Vision for the Future of Storage
Industry leader Scott Shadley reveals how Solidigm’s innovations in SSDs, partnerships, and architecture are reshaping data centers to meet the rising demands of AI, edge, and enterprise workloads.
