Why You’re Wrong About Operationalizing AI: Debunk Common Myths About AI To Turn Insights Into Actions

The risk of not digitizing is growing fast. Artificial intelligence (AI) technologies are no longer just a “nice-to-have” — they are now a core capability for enterprise-wide digital transformations. Using AI technologies to inform decisions allows insurers to deliver better customer experience and become stronger competitors. However, damaging myths about operationalizing AI prevent many enterprises from implementing AI solutions. 

Forrester conducted three interviews and an online survey to explore this topic. The study* revealed that AI decision-makers see operationalizing AI as critical to gaining essential insights about customers and markets to improve business outcomes. However, silos, data challenges and a lack of resources stand in the way.

Download the study to discover:

  • Common myths related to the use of AI in today’s enterprises
  • The top five challenges of using AI
  • The most popular use cases for enterprise AI projects
  • Barriers that stall AI technology opportunities
  • Forrester’s five recommendations for enterprises looking to operationalize AI

 

* Why You’re Wrong About Operationalizing AI, a commissioned study conducted by Forrester Consulting on behalf of InRule, May 2021



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