Collaboration
Games, Teams, and Moonshots: Google Cloud’s Will Grannis
Will Grannis of Google Cloud explains the organization’s collaborative approach to AI and machine learning innovation.
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.
Anticipating and withstanding cyberattacks — cyber resilience — must become a companywide concern.
Data science obstacles, concerns about data executive roles, and the virtual hiring process.
Only a third of data executives feel that their role is “successful and established.”
Making diversity and inclusion real, clarifying pandemic data, and how Amazon will innovate post-Bezos.
The authors describe three key challenges leaders face in communicating pandemic data and how to address them.
To deliver on the promise of AI, leaders must focus on improving their organization’s culture and decision-making capabilities.
Companies that emphasize collaboration between AI and human workers are best positioned for success.
Transforming a company into a truly data-driven business involves fundamental organizational changes.
Data accessibility must be managed from the start of AI projects in order to be implemented in production.
Leaders must focus on quality, build organizational capabilities, and put data to work in new ways.
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.
A Q&A with AWS’s Ishit Vachhrajani on how leaders can generate excitement about and support for AI organization-wide.
Companies need to identify the type of talent they need in order to become data-driven.
Tech leaders should consider data privacy and security issues while also maximizing customer experience.
A new MIT SMR Executive Guide offers managers and decision makers new insights, research, and strategies for leading a data-driven culture.
AI is a powerful tool for innovation when leaders communicate its benefits.
To better align data teams with business operations, a new organizational structure is needed.