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.
This Strategy Guide covers identifying AI use cases — and how to know when AI isn’t the best answer.
TCS and Halliburton Landmark executives discuss digital transformation in the oil and gas industry.
Anticipating and withstanding cyberattacks — cyber resilience — must become a companywide concern.
Lyft’s Craig Martell talks education, eliminating bias, and cross-functional collaboration on machine learning projects.
Incremental platform scaling, ecosystem development for sustainable success, and competition in platform-based markets.
Use these metrics and red-flag indicators to boost your chances of business ecosystem success.
MIT SMR is free to access March 2-4. We have recommendations to help you start solving your management challenges.
First-generation blockchain applications are delivering value by removing friction in shared ecosystems.
Preserving public trust, evaluating a female-focused recession, and regulating a tech crisis.
This webinar outlines how human-AI collaboration leads to measurable results for organizations.
The incoming U.S. president should resist overreaching and adopt a tempered approach to tech industry oversight.
An expert on tech industry regulation argues that the Biden administration should step back and let innovation flourish.
Companies that emphasize collaboration between AI and human workers are best positioned for success.
New technologies can help solve critical global problems in energy, medicine, and urban planning.
View this webinar to hear how IT teams are meeting the challenges of the ongoing COVID-19 pandemic.
Innovating remotely, changing strategically, and piloting AI projects.
There are differences between what constitutes a successful early AI pilot and success in other types of IT ventures.
Revolutionary recommendation engines, data access as a leadership priority, and the essentials of successful corporate social justice efforts.
Transforming a company into a truly data-driven business involves fundamental organizational changes.