AI & Machine Learning
8 AI Security Issues Leaders Should Watch
What AI security issues deserve the most focus? Learn from top CIOs and AI experts in this brief video.
What AI security issues deserve the most focus? Learn from top CIOs and AI experts in this brief video.
The full video of MIT SMR’s annual symposium looks at how to empower an AI-fueled workforce.
Experts in artificial intelligence debate how prepared organizations are to comply with the EU AI Act’s requirements.
Two frameworks can help organizations identify potential harms posed by algorithms, AI tools, or large language models.
Prompting users to spot errors when using generative AI to complete reports improves the accuracy of the final product.
Don’t over-rely on a chief information security officer: Every board member must learn cybersecurity.
This Executive Interview discusses how retailers can build flexible, future-fit IT environments.
CEOs who led their companies through serious cyberattacks share lessons learned and ways to boost your cyber resilience.
Learn why humans miss generative AI mistakes and how AI speed bumps help, in this short video.
Experts debate how effectively organizations are adjusting risk management practices to govern AI.
Learn how grassroots automation helps companies speed up digital transformation efforts.
Business leaders can identify and avoid flawed AI models by employing statistical methods and statistics experts.
Learn three principles for reorganizing work around AI.
Watch this short video to learn more about how AI changes the rules of workforce management.
The nonprofit is delivering technology and services to help its staff build AI applications efficiently and safely.
To reduce the risk of accidentally using bad artificial intelligence, we need regulation — and skepticism.
Learn to drive digital transformation by turning business-domain experts into citizen developers.
On the Me, Myself, and AI podcast, Daniele Petecchi discusses how Pirelli uses AI to develop tires more efficiently.
To succeed with machine learning, manage projects as business initiatives, not technology projects.
Two automation initiatives succeeded by scoring potential processes and combining technical and process knowledge.