Get Data in Good Shape for AI Success
Article from MHI Solutions Magazine
No matter where or how you want to deploy AI in your company, there’s one element that is key to successful implementation: the quality of the data that you input into your AI models.
“The path from AI’s potential to its inevitability for a company is paved with data. That’s an underlying capability that you’ve got to develop,” said Saurabh Vijayvergia, retail AI strategy and engineering leader at Deloitte Consulting LLP. But companies should overcome three common data barriers when attempting to implement AI and/or generative AI.
The first is availability of data; an organization may lack some of the data that they need from internal or external sources to get the kind of outcomes they are hoping to derive from their AI applications…
