AI & Machine Learning
Why Fear of Disruption Is Driving Investment in AI
A recent study connects the fear of disruption with technology investment at large companies.
A recent study connects the fear of disruption with technology investment at large companies.
The MIT SMR Strategy Forum examines how blockchain and cryptocurrency might impact developing countries in the global economy.
Digitization of physical products and production has become an emerging idea in sustainability.
IBM’s investment in Red Hat is a bet for making inroads into cloud infrastructure.
Brands must focus on what their customers have in common — not what makes them different.
Getting started with AI means understanding its capabilities, its limitations, and the ethics of its use.
To make AI a strategic differentiator, organizations need to draw from alternative data sets.
The extent to which gig workers should be afforded the legal rights of employees has yet to be fully resolved in many jurisdictions.
Cloud computing with rigid borders and boundaries will become a reality in the near term.
A webinar discusses strategy and leadership approaches to digital transformation.
Travel marketers need to recognize and embrace analytical sophistication.
Burdened by an overabundance of KPIs, the health care sector can look to machine learning to force a focus on the metrics that matter most.
Getting business value from AI means separating myths from facts.
Retailers can avoid displacement and connect with customers by focusing on digital experience.
Done right, automation can be a win for everyone — even workers.
Banks need a clear AI strategy to get digital transformation right.
Makers of AI applications should stop overpromising, be transparent, and consider certification.
Retail companies that neglect machine learning do so at their peril.
Digital customer service platforms offer better service when they use customer-centric language.
Properly orchestrated, cybersecurity can reduce costs and increase revenue.