Why machine learning strategies fail
According to a recent survey by Rackspace Technology, from more than 1,800 organizations in a variety of industries, only 20 percent of organizations succeed in implementing machine learning strategies.
Why such small success rates? There are three key areas where companies meet challenges:
Solving problems related to data
Acquiring the right talent to perform research and deployment of machine learning solutions
Developing an AI strategy that provides value, ROI, and buy-in from executives and decision-makers
To find out more, read my latest on TechTalks, where I explore these challenges and provide some tips on how to avoid the pitfalls of designing and implementing machine learning strategies.
To learn more about the challenges of AI in real-world applications, read our series on “The business of artificial intelligence.”
Book recommendations:
Prediction Machines discusses the business value of machine learning
The AI Advantage explores the sectors and companies that have been successful in applying machine learning
Competing in the Age of AI highlights the role of solid data infrastructures in developing successful AI strategies