AI
Highlights
Exploring Aerospace Innovation with Airbus Acubed's Arne Stoschek
Arne Stoschek of Acubed by Airbus delves into innovations in autonomous flight and digital design tools shaping the future of sustainable aerospace.
Why My Wife and I Decided to Write a Book Using ChatGPT
AI Exec Bob Rogers reflects on AI’s rapid growth, his initial concerns, and its potential societal impact. He explores the need for thoughtful regulation to balance innovation with protection.
Ayar Labs Aims to Light up AI Applications with Optical I/O-based Fabrics
Discover how Ayar Labs' Optical I/O tech is solving AI data bottlenecks, boosting performance, and driving new metrics for profitability, interactivity, and scalability in next-gen AI infrastructure.
5 Key Considerations for Ethical AI Deployment
AI is transforming industries, but it also raises ethical challenges. This blog explores five key ethical considerations, from training data biases and social inequality to the environmental impact of AI models. Understanding these issues is vital for responsible AI deployment.
PhoenixNAP's Bare Metal Cloud Meets AI's Data Center Demands
Allyson Klein reflects on her chat with PhoenixNAP’s Ian McClarty, covering AI's impact on data centers, the advantages of bare metal cloud, and the push for sustainable high-performance computing.
Why a Self-Driving Car Might Run a “STOB” Sign: To ViT or Not To ViT
Automotive expert Robert Bielby compares Convolutional Neural Networks and Vision Transformers in self-driving cars, discussing tradeoffs between the need for training data and accuracy, as well as the emergence of hybrid models.
Ellison Delivers Vision for Enterprise Adoption of AI
During his keynote address at OCW, industry legend Larry Ellison honed in on how Oracle aims to transform business processes with AI-driven automation, emphasizing security, reliability, and adaptability.
Targeting the Next Unicorn with Hitachi Ventures’ Gayathri Radhakrishnan
Allyson Klein reflects on her fascinating chat with Guest Gayathri "G" Radhakrishnan, Partner at Hitachi Ventures, who discussed innovation in the AI space, future adoption of AI and how long it will take for enterprises to adopt AI tech at scale.
With Lemony, Uptime Industries Tackles AI at the Edge
Exploring the shift towards AI at the edge, Uptime Industries' Lemony platform provides secure and scalable solutions, enabling businesses to confidently integrate generative AI into their operations.
Unilever Delivering Customer Insight, Efficiency with AI Adoption
Allyson Klein reflects on her chat with Unilever’s Arun Nandi, where they covered AI, analytics, the importance of sustainable innovation, and the future of enterprise data architecture.
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?
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Podcasts
Dell on Storage Innovation in the AI-Driven Enterprise
Dell and Solidigm leaders explore how modern storage—flash, SSDs, and flexible architectures—enables AI, accelerates performance, and helps enterprises manage data across edge to cloud.
State Street’s Vision for Agentic AI in FinTech
State Street’s Anusha Nerella explores AI-driven FinTech infrastructure—scalability, governance and agentic computing. Interested in finding out more about the AI Infra Summit and seeing Anusha Nerella live? Find out more here.
Scaling AI and Biotech for Global Health Impact
In this episode of In the Arena, hear how cross-border collaboration, sustainability, and tech are shaping the future of patient care and innovation.
How Verge.io is Rethinking Compute, Storage & AI Readiness
Tune in to our latest episode of In the Arena to discover how Verge.io’s unified infrastructure platform simplifies IT management, boosts efficiency, & prepares data centers for the AI-driven future.
How AI-Optimized Storage is Eliminating Data Bottlenecks
Join us on Data Insights as Mark Klarzynski from PEAK:AIO explores how high-performance AI storage is driving innovation in conservation, healthcare, and edge computing for a sustainable future.
Unpacking AI Inference at the Edge with Untether AI
Untether AI's Bob Beachler explores the future of AI inference, from energy-efficient silicon to edge computing challenges, MLPerf benchmarks, and the evolving enterprise AI landscape.
AI Connectivity & Chiplet Innovation at Alphawave Semi Unveiled
Letizia Giuliano of Alphawave Semi discusses advancements in AI connectivity, chiplet designs, and the path toward open standards at the AI Hardware Summit with host Allyson Klein.
Exploring Cerebras' AI Innovations: Inference, Llama, and Efficiency
Sean Lie of Cerebras Systems shares insights on cutting-edge AI hardware, including their game-changing wafer-scale chips, Llama model performance, and innovations in inference and efficiency.
Optimizing AI Scale-Out: Cornelis Networks’ Vision with Lisa Spelman
Lisa Spelman, CEO of Cornelis Networks, discusses the future of AI scale-out, Omni-Path architecture, and how their innovative solutions drive performance, scalability, and interoperability in data centers.
AI on Your Desk with Uptime Industries’ Lemony
Join Sascha Buehrle of Uptime Industries as he reveals how Lemony AI offers scalable, secure, on-premise solutions, speeding adoption of genAI.
Ayar Labs' Mark Wade on Optical I/O Boosting AI Performance
Mark Wade, CEO of Ayar Labs, explains how optical I/O technology is enhancing AI infrastructure, improving data movement, reducing bottlenecks, and driving efficiency in large-scale AI systems.
AI Innovation, Energy Efficiency & Future Trends with Neeraj Kumar
Neeraj Kumar, Chief Data Scientist at PNNL, discusses AI's role in scientific discovery, energy-efficient computing, and collaboration with Micron to advance memory systems for AI and high-performance computing.
