Problem-Solving

To strengthen resiliency, companies need to build flexibility into the supply chain talent base.

Data science project failure can often be attributed to poor problem definition, but early intervention can prevent it.

The winter 2022 issue of MIT SMR provides a collection of articles to help leaders overcome the obstacles that can get in the way of innovation.

In this webinar, experts from Kaiser Permanente, Accenture, and SAS discuss business readiness for AI.

This webinar describes identifying AI use cases – and recognizing when AI isn’t the best answer.

This Strategy Guide explores implementing AI as part of a larger digital transformation strategy.

This Strategy Guide offers expert advice on gauging your organization’s technical readiness for AI.

A global study of online hackathons offers best practices for designing virtual ideation sessions.

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

Crowdsourcing platforms, updating how work gets done in a new normal, and simplifying data migration.

Crowdsourcing platforms produce more results when problem statements are crafted to engage participants.

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

New technologies can help solve critical global problems in energy, medicine, and urban planning.

Last year’s challenges underscore that humans work best if they work as a team for a common purpose.

A Q&A with AWS’s Michelle K. Lee on the challenges and advantages of adopting machine learning.

Effective leadership can make crises manageable instead of overwhelming.

Three reasons your words of wisdom probably aren’t worth very much.

Looking back on disruptive innovation theory and preparing for smarter crowdsourcing.

Solving complex problems with crowdsourcing means tailoring the crowd to the problem’s scope.

Alternating between always-on connectivity and heads-down focus is essential for problem-solving.