AI & Machine Learning

Identifying the potential public harm of new AI tools should be part of prelaunch due diligence.

The Me, Myself, and AI podcast delves into how automotive supplier Cooper Standard uses open innovation to leverage AI.

Dramatic changes within the life sciences industry present unique opportunities to use AI.

Two new branches of digital olfaction technology could help companies use smells to improve the customer experience.

The technology for creating deepfakes offers the potential for companies to build positive customer experiences.

JoAnn Stonier, chief data officer at Mastercard, discusses how design thinking enables better AI implementation.

This Strategy Guide offers expert advice on assessing your organization’s business readiness for AI.

Amit Shah, president of 1-800-Flowers, explains why lifelong learners are the best technical talent.

Will Grannis of Google Cloud explains the organization’s collaborative approach to AI and machine learning innovation.

This Strategy Guide covers identifying AI use cases — and how to know when AI isn’t the best answer.

Companies are taking different approaches to preparing their workers for the digital future.

Only a third of data executives feel that their role is “successful and established.”

Organizations that struggle to gain payback from data science efforts can recognize and overcome five common obstacles.

Planning for the post-pandemic workplace, managing hybrid teams, and optimizing your organization for AI.

To deliver on the promise of AI, leaders must focus on improving their organization’s culture and decision-making capabilities.

This webinar outlines how human-AI collaboration leads to measurable results for organizations.

Workforce ecosystems, machine discovery, human-machine collaboration, and the inventor of Wikipedia.

Companies that emphasize collaboration between AI and human workers are best positioned for success.

In this webinar, Jeffrey D. Camm and Thomas H. Davenport explain how the COVID-19 pandemic has impacted the practice of data analytics.

There are differences between what constitutes a successful early AI pilot and success in other types of  IT ventures.