AI & Machine Learning
Rethink AI Objectives
Using AI to create humanlike computers is a shortsighted goal.
Using AI to create humanlike computers is a shortsighted goal.
Advances in inventory and sales analytics make it possible to deliver products both cheaply and quickly.
Customers relationships evolve. Understanding how is the key to tailoring your CRM strategy.
One university president doesn’t feel colleges adequately prepare students to join the workforce in today’s digital era but cites one way his institution is helping its student body.
To reach millennials, companies are turning to social media micro-influencers as brand ambassadors.
A study of cryptocurrency markets dissects the role of peer influence in online purchasing decisions.
Sports analytics leaders are now using data to understand fans as well as they know their players.
How do we prevent bad actors from using social media platforms to manipulate the public?
Many companies overlook the potential of new applications for products they have sold for years.
Legacy offline stores and online retailers are each finding their way to a new kind of shopping experience: the showroom.
Building a sophisticated online user community a begins with a smart approach to seeding it with expert knowledge.
MIT SMR hosts a Twitter chat on analytics and customer service on March 1, 2018, at 11 a.m. EST #MITSMRChat.
The key lessons learned by Sprint, Bayer and Tapestry in implementing data-driven strategies.
In this webinar, Cornell University’s Sheryl E. Kimes discusses the expectations disconnect between companies and customers over self-service technologies.
Retailers need to understand how website features and advances in AI affect consumer behavior.
An excerpt from The Longevity Economy describes the opportunities in catering to older adults.
Manufacturers may be able to charge higher prices to customers planning to rent out big-ticket items.
Duke Energy CEO Lynn Good reflects on guiding her company in an industry in transformation.
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.
Marketers need a holistic data and analytics approach to deliver personalized customer experiences.