Artificial intelligence doesn’t have to trigger a loss of jobs and privacy, writes MIT economist Daron Acemoglu. But only if we modify our approach.
Companies like Fidelity Investments are creating data assets that are integrated, easily consumable, and ready to be monetized.
Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
An ever-growing list of workarounds is weighing on your productivity and profits. Time to get your systems in order.
Chief data officers share advice on how to connect data to organizational culture and develop data professionals who speak the language of business.
“Unethical pro-organizational behavior" triggers emotional ambivalence by simultaneously inducing both guilt and pride—producing a state of anxiety that can spill over into employees’ personal lives.
Kara Penn, MBA ’07, applies insights from ‘smart mistakes’ to her organizational work at Mission Spark, Hustle Fund, and The Listening Challenge.
To support data science teams, start by pointing them toward the right problem.
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
No more C-suite showdowns. Instead, here are four strategies to point your organization forward.
