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.
Guest Gayathri “G” Radhakrishnan, Partner at Hitachi Ventures, joins host Allyson Klein on the eve of the AIHW and Edge Summit to discuss innovation in the AI space, future adoption of AI, and more.
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.
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?
By fusing Ansys simulation with NVIDIA AI, Synopsys is industrializing the design of software-defined vehicles, helping automakers slash prototype costs and launch new platforms up to a year faster.
AI cuts design time 70%, software architecture separates winners from losers, and subsidy rollbacks mask an unstoppable electric shift. Legacy automakers face the challenges of adapting in 2026.
Equinix’s Glenn Dekhayser and Solidigm’s Scott Shadley discuss how power, cooling, and cost considerations are causing enterprises to embrace co-location among their AI infrastructure strategies.
Despite regulatory confusion slowing innovation, AI-driven ESG tools are gaining traction as corporations race to meet evolving compliance demands and data transparency expectations.
As shifting regulations disrupt environmental, social and governance efforts, AI and advanced data analytics emerge as key drivers of progress, offering opportunities for scalable, impactful ESG strategies.