Data, AI, & Machine Learning

Collisions between innovators and existing players are forcing executives to rethink their strategy.

AI and automation are changing labor markets worldwide, but developing nations will be hit hardest.

Many leaders are building AI into their DNA. Some are still experimenting and some are pursuing AI at scale. This guide, a compilation of insights from MIT SMR, gives leaders research-based frameworks for how to think about changing your leadership, your culture, your data, and your talent in order to incorporate AI into your organization’s DNA.

Companies implementing AI must protect customers' autonomy, privacy, and individuality.

Leadership behaviors that build trust, purpose, and energy bolster collaboration and engagement.

New research offers companies a framework for managing successful country portfolios.

Companies already use data to make marketing decisions. Will deep learning enable a leap forward?

Using analytics, companies can reduce the costs of collaboration — and reap its rewards.

Giving customers what they want quickly is a worthy goal. Businesses can’t always afford to do it.

Data and algorithms can mitigate gender bias in venture capital funding.