It’s hard to read the news or scan social media without seeing examples of artificial intelligence (AI) in action. Some of its most talked about applications include roboadvisors and robotraders in the finance industry, chatbots and personal buying assistants in retail, medical diagnostics, remote patient monitoring and AI tutors for personalized education.
Despite the hype, it’s early days.
“Many organizations are just beginning their AI journey, gathering knowledge and developing strategies for applying it,” says Mike Rollings, research vice president at Gartner.
Now’s the time to define your AI strategy and assess its impact on business models and
AI doesn't only offer the potential to radically improve existing business activities, but instead creates the potential for data-driven business strategies. This makes data and analytics a primary driver of strategy, which in turn mandates a more expansive examination of the potential for AI.
If you’re a chief data officer (CDO), now’s the time to define your AI strategy and assess its impact on business models and customer experience, Rollings says.