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.
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.
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.
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.
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.