7 lessons for successful machine learning projects
Machine learning success starts with a strong data strategy, the right business use cases, and patience.
Machine learning success starts with a strong data strategy, the right business use cases, and patience.
Running IT as a separate department prevents companies from reaching their digital goals. Here’s a better model.
Product manager, digital platform leader, ESG consultant, and more. Here are five jobs that reflect career opportunities in the sustainability sector.
New NBER research shows that savvy management can help companies better predict the future — and better position themselves for profitability.
The Good Companies, Good Jobs Initiative at MIT Sloan asked Elisabeth B. Reynolds, the Executive Director of the MIT Task Force on the Work of the Future and one of the authors of that Task Force's recent report, to summarize some of the report's most important points.
MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
New research explores worker engagement, its impact on job performance, and its connection to a worker’s level of emotional stability.
Artificial intelligence can be useful in the workplace, but humans have to first define what success looks like, according to MIT Sloan’s Danielle Li.
A new study finds that occupations are becoming more age-friendly — but older workers don’t always benefit.
In the short term, artificial intelligence systems may be too costly to use for most tasks.