Written by: Mai B. AlOwaish and Thomas C. Redman | c.2023 Harvard Business Review Most people who work on data science, AI, and digital transformation are painfully aware that it is often culture, not technology, that stymies their efforts.
Maintaining a business’s IT infrastructure in today’s environment can pose significant challenges. If you oversee IT operations, it’s fair to assert that you will inevitably encounter system disruptions, whether they result from hacking or simple system errors. Ensuring the smooth
Written by: Maureen Burns, Sharona Sankar-King, Priscilla Dell’Orto and Eduardo Roma | Published by: c.2023 Harvard Business Review The surge of generative artificial intelligence (AI) applications is spurring exciting innovations and consumer experiments, but it also worries many people
Written by: Eric Siegel | Published by: c.2023 Harvard Business School Publishing Corp. Machine learning (ML) — technology that learns from experience (data) to predict the behavior of each individual — is well known for improving the bottom line
Written by: Thomas H. Davenport, Matthias Holweg and Dan Jeavons | Published by: c.2023 Harvard Business Review In the 1990s, business process reengineering was all the rage: Companies used budding technologies such as enterprise resource planning (ERP) systems and
Written by: Emily Rose McRae, Peter Aykens, Kaelyn Lowmaster and Jonah Shepp | Published by: c.2023 Harvard Business Review In 2022, business leaders faced an increasingly unpredictable environment, with evolving return-to-office policies, higher employee turnover, and burned-out employees (more
Written by: Ethan Bernstein, Michael Y. Lee, and Joost Minnaar | Published by: Harvard Business Review “They’re Watching You at Work.” “AI Here, There, Everywhere.” “What People Hate About Being Managed by Algorithms.” We are no stranger to headlines