The following is a lightly edited version of a recent email interview with Alex Fly, Founder and CEO of Quickpath
IDG Connect: I hear a lot about a conundrum whereby many respondents to surveys say they recognise the importance of AI but fewer have done much about it and among those that have, most projects are pilots or small-scale. Do you recognise this schism and why do you think it exists?
Alex Fly: Companies are absolutely struggling with their early AI initiatives. There are many challenges that enterprises face with AI adoption that the giant technology companies that pioneered them did not have to face, including legacy application architectures, data silos, regulatory and compliance requirements, lack of access to talent and skill sets, and organisational structures and priorities.
There are typically multiple issues across the four key areas required for AI success: People, process, technology, and information. These elements are required throughout the entire AI lifecycle, from ideation to production. What’s more, the friction caused by inefficiencies or misalignment between them continues to plague early AI implementation attempts.
Read rest of the interview on IDG.
According to his LinkedIn profile, Alex Fly is an Applied Machine Learning & AI specialist with 20+ years in enterprise data & analytics. Alex co-founded Quickpath in 2005 to help companies effectively leverage data and advanced analytics to both increase revenue and decrease operational costs. He has spent years working with Fortune 500 companies applying advanced analytics and predictive modeling techniques to their traditional, digital, and marketing strategies.