Managing Technology

Mathematica CIO Akira Bell discusses the role of the chief information officer and best practices on data governance.

Businesses must thoroughly evaluate the risk of deploying a new technology to avoid reputational and financial damage.

Biometric technologies raise new issues of surveillance and privacy that can put customer trust at risk.

Organizations can develop effective digital twins despite limited training data by combining AI and human knowledge.

Learn how deep-tech startups in materials, biology, energy, and computing can help enterprise innovation efforts.

Experts share compelling arguments for and against the creation of a CAIO role to manage AI across an organization.

This Canadian bank has become known for developing AI tools that are both innovative and responsible.

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.