Analytics & Strategy

Swarm systems draw input from individuals and use algorithms to optimize system performance in real time.

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

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

MIT SMR authors David Bray and R “Ray” Wang discuss how people-centered design principles can serve as a framework in AI implementation.

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

Re-skilling done right, telling a good data story, and three big points on disrupting yourself.

To solve the issue of advanced analytics talent concentration, companies need to think creatively.

AI offers the potential to break down silos and make collaboration more effective.

Digital transformation empowers smarter KPIs.

To avoid bias, people-centered design principles must be the foundation of deep-learning algorithms.

Automation can go far beyond cars. Self-driving company capabilities are closer than we realize.

Counterpoints looks at predicting the college football playoffs with UW-Madison’s Laura Albert.

Consumers’ concerns about data privacy are offset by a desire for personalized service.

AI is making it possible for companies to reach a new level of customer-centric marketing.

People analytics is at the heart of eSports success.

Artificial intelligence may look poised to tackle tricky business decisions — but it only works for certain sorts of problems.

AI offers a helping digital hand to overburdened B2B marketing departments.

Join MIT SMR Connections and SAS for a Twitter chat on how to make sure your data is trustworthy.

Are data analysts who develop strategy truly paid what they’re worth?

Skeptics want to know: How much of a difference do analytics actually make?