Data Strategy

Dramatic changes within the life sciences industry present unique opportunities to use AI.

Companies that emphasize collaboration between AI and human workers are best positioned for success.

Data-driven decision-making anchors on available data, which can lead decision makers to focus on the wrong question.

Leaders need to examine their core beliefs if they want to prosper in a COVID-19 world.

A new MIT SMR Executive Guide offers managers and decision makers new insights, research, and strategies for leading a data-driven culture.

Executed well, good data governance can fuel digital innovation without compromising security.

Companies can use an array of tactics to make sure that their data products inspire action — and create value.

Companies need to evolve and shift thinking around what it means to have a data-driven culture.

Companies today are swimming in data — but how do we build a data strategy that creates value?

Developing AI-enabled business models, managing corporate social responsibility, and growing digital ecosystems.

Companies and leaders must strive to build business models using three key components for growth.

A Q&A with AWS’s Michelle K. Lee on the challenges and advantages of adopting machine learning.

Insights for developing and executing AI strategy at the leadership, organization, and talent levels.

A pharmaceutical giant enlists a consultant to help create an industry-leading global compliance system.

MIT Sloan’s Ben Shields says business can compete better using pro sports’ approach to data analytics.

Ask these four questions to determine whether your AI system is really an AI solution.

IBM’s Mark Foster discusses what makes digital transformations succeed — and why it takes humanity.

Six risks that business leaders can begin to strategize around now.

No matter how compelling it seems, data alone won’t win people over unless infused with a story.

Digital transformation empowers smarter KPIs.