As AI data centers spark backlash elsewhere, countries like Lithuania are rolling out the welcome mat, betting power, policy and sovereignty can win the AI compute race.
Most enterprise software still answers what happened. The harder, more valuable question is why it happened and what to do next.
Amodei urges slower AI development, independent oversight, and international coordination to keep safeguards effective.
Shadow AI isn’t just a productivity issue—it’s a trust, data and governance one.
CVS Health’s Aetna will bundle cancer treatments into a single clinical review as the industry works to further eliminate the controversial prior authorization process.
Anticipatory banking cannot be a one-way system in which the institution pushes messages and assumes value. It has to be a learning system that improves over time.
Resilient automotive companies preserve flexibility when volatility changes the plan, giving leaders more room to respond before disruptions narrow their options.
Once every AI company can put a capable engineer in front of a customer, closeness to the problem can stop being the thing that separates you.
Tech companies advocate for AI safety, though some worry it will hinder progress. But, lessons from history suggest that standards can aid innovation and growth.
A board doesn’t want a vulnerability count; it wants to know what a dollar of security does to revenue, margin or trust.