AI & Machine Learning

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.

Recommendation engines promise to revolutionize how customers buy and employees work.

Leaders need to examine their core beliefs if they want to prosper in a COVID-19 world.

Business — and society — should think of the governance of AI as an enabler rather than a constraint.

In this webinar, AI experts from Pure Storage and Nvidiadiscuss a unified plan for implementation.

Organizations need to develop more-robust processes to ensure responsible use of AI.

Using AI and simulations in health care can help doctors better serve patients.

Companies that change processes to facilitate organizational learning with AI realize the biggest business value.

Boards will need increased technology fluency to provide adequate oversight of AI risk management.

Protocols that are used to root out bias in AI tools can— and must — be turned on the industry itself.

Returning “boomerang” CEOs, job crafting, and working with robots.

Despite advances in automation, good people and good techniques remain essential to manual work.