Problem-Solving

Hackathons can spur innovation or yield lackluster results. A well-defined challenge and clear goal make the difference.

Guiding crowds with tailored instructions boosts innovation in tackling complex problems through crowdsourcing.

Which AI tool is the best option for solving your problem? Follow this pragmatic advice to figure it out.

Being able to manage the emotional discomfort of uncertainty is critical to sound decision-making.

This issue of MIT SMR focuses on talent management, innovation strategies, and emerging technologies.

The skill of perspective taking can help build teams’ psychological safety for creative, collaborative problem-solving.

Not defining a problem well is one of the biggest obstacles to good decisions; use this simple story structure to help.

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.