Will Grannis of Google Cloud explains the organization’s collaborative approach to AI and machine learning innovation.
Testing can guide decisions such as who needs to work in an office and what work hours are optimal.
Thomas H. Davenport and Thomas C. Redman
Companies that emphasize collaboration between AI and human workers are best positioned for success.
Leaders must focus on quality, build organizational capabilities, and put data to work in new ways.
Thomas C. Redman
Top chief data officers share insights on how leaders and organizations can ensure data success.
Leaders need to examine their core beliefs if they want to prosper in a COVID-19 world.
Lanham Napier, Barry Libert, and K.D. de Vries
A Q&A with AWS’s Ishit Vachhrajani on how leaders can generate excitement about and support for AI organization-wide.
Ishit Vachhrajani, interviewed by MIT SMR Connections
Companies need to identify the type of talent they need in order to become data-driven.
Thomas H. Davenport
Tech leaders should consider data privacy and security issues while also maximizing customer experience.
Deborah O’Neill, Stephen J. Andriole, and Elizabeth Heichler
AI is a powerful tool for innovation when leaders communicate its benefits.
Sam Ransbotham and Shervin Khodabandeh
To better align data teams with business operations, a new organizational structure is needed.