AI INVESTMENTS
Which challenges are there in the field of AI Investment ?
Manu Gopinath , Chief Operating Officer at UST : Budget Constraints and ROI uncertainty are the most significant challenges in AI investment . Companies must take a strategic , phased approach to AI investment by starting with pilot projects to demonstrate tangible ROI before scaling up . Closely tracking and communicating the business value generated from AI initiatives and identifying pivot points would be crucial .
Brian Diffin , EVP , CTO at Wolters Kluwer Tax & Accounting : There needs to be an analysis of what kind of AI is best utilised for a specific use case . Each AI approach , model and learning technique has to be evaluated for “ best fit ”, and ‘ best fit ” has multiple
“ Ultimately , I believe the number one factor with AI investments is all about return on that investment ”
BRIAN DIFFIN , EVP , CTO , WOLTERS KLUWER TAX & ACCOUNTING
parameters . For example , which approach will work best to bring the highest value functionality , how quickly can it be developed and launched into the market , what is the cost to operate the AI technical approach , and how will be it be maintained . aimagazine . com 189