InformationWeek

As apps become databases orchestrated by agents that automate tasks on behalf of humans, I asked Salesforce how it intends to win -- SVP John Kucera answered.

AI projects don't fail for lack of speed. For the CIO, these initiatives stall when organizations skip data readiness, governance and the business alignment required to scale AI.

There are human and operational lessons that leaders often overlook once a crisis is resolved. Consider how urgency sharpens focus and accelerates change.

San Francisco International Airport's digital twin shows how organizations can use geospatial data and customizable dashboards to coordinate complex operations and optimize the flow of people and assets in real time.

As AI transforms enterprise software CIOs must decide whether to bet on AI-native startups or wait for their existing vertical SaaS platforms to catch up.

Do you have insights or best practices to share with other CIOs and IT leaders? Here's how to submit your own commentary article to InformationWeek.

Robin Gordon, chief data officer at Hippo Insurance, and Gabe Goodhart, chief architect of AI open innovation at IBM, discuss how they match data models with context.

While executives debate job displacement, CIOs face a quieter challenge: AI work that spreads across teams blurs ownership and doesn't fit the org chart.

AI teams are increasingly treating training data like capital with enterprise-level financial, legal and strategic benefits.

Retrieval-augmented generation is everywhere in the enterprise. The compliance and e-discovery implications are not. What lives in your vector database may be the next audit surprise you didn't see coming.

Four months into the year, what is the one cultural red flag threatening your 2026 innovation goals?

Reports that Meta is building an AI version of its CEO raise questions about what leadership actually requires and what it doesn't -- questions that every organization will soon have to answer.

Insourcing tech talent can increase productivity, bolster retention and revitalize regional economies.

Investors are backing AI companies that, in turn, become customers, creating a self-reinforcing cycle that at times appears to be eating its own tail.

Cameron Etezadi, CTO of LaunchDarkly, and Oleksandr Paraska, CTO of Togal.AI, discuss how they deal with AI-generated code that conceals hard-to-find errors.