AI veteran sees 'dream teams' accelerating AI in business
Artificial Intelligence

AI veteran sees 'dream teams' accelerating AI in business

Alex Fly is the co-founder and CEO of Quickpath, a 14-year-old San Antonio, Texas software company focused on helping companies "move AI out of the lab and into action". Fly has about 20 years of experience in designing, implementing and operating machine learning applications in Fortune 500 companies, making him a veteran of the AI/ML consulting sector. The Quickpath Platform infrastructure software stack helps companies accelerate and move beyond the theoretical by integrating machine learning into production systems and business applications and by uniting data science and IT teams.

The following is a lightly edited version of a recent email exchange.

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.

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Martin Veitch

Martin Veitch is Contributing Editor for IDG Connect

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