InformationWeek

Compute supply used to be the biggest AI bottleneck, but the next challenge for CIOs looks to be trusted utilization of the compute they have.

Without shared confidence thresholds, AI outputs get applied inconsistently across teams — eroding accountability and efficiency. Coherence is the fix, writes a SurveyMonkey vice president.

The AI model race just flipped. CIOs explain how they are evaluating AI models, prioritizing security, integration and agentic readiness over benchmark rankings.

Olathe School District's CTO Josh Umphrey discusses how to balance student privacy and regulatory requirements with investments in emerging tech.

AI makes building internal tools easier, but SaaS vendors that prove operational accountability will win renewals over those selling features alone.

CIOs from fast-moving technology companies share practical advice on earning credibility and avoiding the false assumptions that trip up first-time CIOs.

As the United Nations launches its new global AI for Good Global Commission, CIOs must approach AI governance with both now and the future in mind.

At the AWS Summit in New York City, InformationWeek spoke with executives from Luminous Robotics, Syngenta and AWS about how enterprises are dividing AI workloads between edge devices and the cloud to support real-time decisions while continuously refining AI models.

Residential proxies and AI-detected zero-day vulnerabilities pose major 2026 cybersecurity threats, writes one IT leader. Traditional blocking fails; global collaboration is needed.

As AI-ready data further secures its foothold, CIOs need to remain aware of unseen expenses that may derail carefully crafted plans.

Brian Blakley, CISO at Bellini Capital, and Pierre DeBois, CEO of Zimana Analytics, discuss how C-suite tech leaders handle tech plans that get shot down.

Boards need cyber risk framed as business impact, not technical details, writes one CPO. Quantify exposure, prioritize action, and tie risks to financial consequences.

SAP North America President David Robinson discusses how more companies are scaling AI initiatives from pilot to production, with their sights firmly set on transforming their operations and delivering real ROI.

Physical AI adoption is accelerating, but success requires early integration, edge engineering and strategic deployment to move beyond pilots, according to a Cognizant vice president.

How can CIOs deliver on board and C-suite expectations while employees worry about what AI means for their jobs? Learn how CIOs are measuring employee sentiment, building trust and balancing leadership expectations with employee concerns.