Knowledge Management

A combination of AI and humans works best in tasks where humans outperform AI and in those that involve creating content.

Leaders must rethink the way they manage people and projects to ensure that everyone reaps the efficiency and innovation benefits of generative AI.

MIT Sloan’s Deborah Ancona explains how leaders can start, manage, and support externally oriented innovation within their organizations.

Senior-level leaders can’t be experts on every new product, service, or innovation. Here are six steps to setting IT strategy in the age of AI.

Here’s how SAIC put a specific plan in place to hire, train, and promote Gen Z data professionals.

Workforce ecosystems tap into the power of people, partners, and technologies, but they can be tricky to manage. This orchestration framework can help.

A successful management system requires a developmental mindset, social circuitry, and a leader who prioritizes creativity.

Knowing how to evaluate AI tools, manage data effectively, and share data strategically will help leaders see the results from their AI investments.

Engineering organizations can take a page from the art world and embrace curation concepts.

Prepare early, cater presentations to reach different audiences, and tell compelling stories.