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.
Managers already struggle to put data to intelligent use; AI may add to their difficulty.
The challenges of leading companies through the AI revolution were examined in a recent symposium.
Large amounts of data don’t inherently remove sampling bias; in fact, they may make it worse.
Some companies are using assessment tools to help identify employees with leadership potential.
The novelty of self-driving cars overshadows the real promise of AI: augmentation of human skills.
How soon will smart machines start looking out for our health?
The synergism of Big Data and artificial intelligence holds amazing promise for business.
Answering still more questions from our recent webinar, “Analytics as a Source of Business Innovation.”
In this webinar, MIT SMR authors Sam Ransbotham and David Kiron discussed why data governance is becoming more and more important to analytical innovators.
Automation brings with it questions about what to do about worker displacement.
We answer more questions from our recent webinar, “Analytics as a Source of Business Innovation.”
Instead of eliminating human workers, AI may create new jobs requiring updated skills and training.
Businesses should understand that in the long run, the promise of AI is self-limiting.
Free on-demand webinar with MIT SMR authors of “Analytics as a Source of Business Innovation.”
Many organizations need to develop greater expertise at valuing their data assets.
The challenge we face today is not a “world without work” but a world with rapidly changing work.
The 2017 Data & Analytics Report by MIT Sloan Management Review finds that companies that embraced analytics have begun to find new ways to derive strategic benefit from analytics.
Here are the essential elements of a transformative IoT strategy.
How AI affects organizations’ use of and relationship to time — in reacting, managing, and learning — may be a tough adjustment.
To grasp how artificial intelligence will change organizations, understand how it delivers value.
