Leaders must deliver rapid AI innovation while handling many related people management challenges, ethical dilemmas, and security risks. One key is developing strong AI leadership skills while recognizing that human judgment remains essential. Get expert advice to help your team succeed with AI.
What’s happening this week at the intersection of management and technology.
An infographic provides highlights of MIT SMR‘s 2016 Internet of Things report.
The IoT creates connections among organizations and their customers, suppliers, and competitors.
In the age of machine learning, what should managers know — and what must non-tech companies do to stay ahead?
Our once-subservient machines are encroaching on tasks that have been firmly in the human domain.
While humans may be ahead of computers in the ability to create strategy today, we shouldn’t be complacent about our dominance.
Human labor isn’t going away, but automation may greatly affect the quality of available jobs.
What’s happening this week at the intersection of management and technology.
What’s happening this week at the intersection of management and technology.
The most effective data experiments augment managerial intuition and exploit unique data.
What’s happening this week at the intersection of management and technology.
In the future workplace, humans may supplement the skills of machines — and not the other way around.
A webinar from MIT SMR covers how IoT is changing the way companies can think about what their customers want and how to design the products they need.
Management still requires a human touch, no matter how smart our machines have become.
In this webinar, James Heppelmann, CEO of PTC, discusses how companies can organize for IoT.
While the financial services industry is increasingly turning to data and analytics, educating its non-quant managers is proving to be a challenge.
What’s happening this week at the intersection of management and technology.
In a recent webinar, MIT professor Carlo Ratti discussed future workspace design.
We are on the cusp of a major breakthrough in how organizations collect, analyze, and act on knowledge.
New research shows bias exists even in merit-based systems — but a data-centric approach can help.
