AI & Machine Learning
Using AI to Help the World Thrive
Microsoft has launched a $50 million initiative to figure out ways to help AI “save the world.”
Microsoft has launched a $50 million initiative to figure out ways to help AI “save the world.”
Organizations that make use of data from a variety of sources excel at customer engagement, as explained in the 2018 Data & Analytics Report.
An infographic based on the 2018 Data & Analytics Report by MIT Sloan Management Review illustrates how companies can better engage with customers using analytics.
The most valuable contributions of AI to the economy may be as an adjunct to advancing discoveries.
Video: Two of the biggest barriers to corporate adoption of AI are access to talent and usable data.
The key lessons learned by Sprint, Bayer and Tapestry in implementing data-driven strategies.
Given the growing importance of data to companies, how should managers measure its value?
Michael E. Porter and James E. Heppelmann discuss the five questions for incorporating AR into your own strategy and implementation plans.
AI has driven soaring expectations and stock prices. So why has productivity growth declined?
The impact of artificial intelligence on the future of work and organizations was a popular topic.
Many countries with aging populations are also experiencing growth in their gross domestic product.
Artificial intelligence is beginning to replace many of the workplace roles that men dominate.
Pete Maulik and Joey Bergstein discuss three fundamental truths for building an effective future-focused growth strategy.
AI and IoT offer significant benefits — as yet untapped — for facilities maintenance.
The cost of bad data is an astonishing 15% to 25% of revenue for most companies.
Innovative strategies depend more on novel, well-reasoned theories than on well-crunched numbers.
A webinar on how a documented data and analytics strategy can serve as a blueprint to guide marketers and decision makers in their daily roles.
Business leaders need to prioritize effective, two-way communication with their data scientists.
Integrating new technologies with legacy systems is both a problem and an opportunity.
As you explore how software bots can automate tasks, keep in mind some of the accompanying risks.