Unite.AI has interviewed Yuri Gubin, CTO at DataArt, about the “skeptical optimism” toward AI that he has developed over nearly two decades working through major technology cycles. Yuri discusses how that experience informs decisions about which AI use cases are worth scaling and how companies can understand whether AI is creating real business value.
The interview also looks at DataArt’s approach to AI-enabled software development through Artisyn and why strong engineering expertise becomes increasingly important as AI takes on more development work.
“Whatever technology promises, you still need to know what you’re doing, and that knowledge comes from experience, collaboration, and a continuous effort to learn, get better and create some kind of system behind the hype.”
“Probably what drives the difference between those who say no and those who say yes is their risk appetite and their attitude toward ambiguity and uncertainty.”
“FinOps, as I see it, is a discipline and methodology that also involves product and business leaders because you need to define what you are measuring when evaluating AI efforts.”
“You can only use AI effectively in development if you still remember what the definition of good is. You need that expertise to guide your agents, review the outcome, set constraints and define the rules.”
“That balance of what is appropriate for a particular solution is the human part. This is the taste, the artisanship behind services and software development.”
Read the full article here.
