AI & Machine Learning
The Best of This Week
Looking back on disruptive innovation theory and preparing for smarter crowdsourcing.
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.
Do these three key activities to become a better strategic leader.
Here’s how to ensure your sales teams know their customers’ problems.
Viewing technology as a set of solutions misses opportunities to innovate in bigger, bolder ways.
Leaders in a digital world have to navigate more complexity than ever before.
Improving a company’s measurement of innovation requires a holistic view of its innovation process.
When you manage complex problems as if they’re complicated, you’re setting your company up to fail.
Closely observing how work is done in your business can yield many opportunities for improvements.
Articulating what problem you’re trying to solve is an important (and underrated) management skill.
AI’s value for managers lies in its ability to predict equipment failures and assess human emotions.
There are positive correlations between improvisation in product development and team performance.
GE is positioning itself to make the Industrial Internet a strong component of a more efficient oil and gas industry.
Companies that are experienced in using analytics successfully offer five lessons for corporate leaders.
A recent book by Thomas H. Davenport and Jinho Kim advises companies on how to capture the power of big data.
Will your next big IT project be on time and deliver what was promised? Maybe — but maybe not.
Asking why you’re embarking on a project before you begin raises the project’s chance of success.
An Interview with Anthony Goldbloom, CEO of Kaggle.