Cloud has matured, and artificial intelligence is the next wave of business transformation.

Alteryx Inc.’s recent study shows a marked shift from AI hype to tangible value in adoption. Given the tangible temperature change, how are companies coping with AI adoption complexities and growing pains?

“I mean, think about a year ago when it was probably 78% of the people were unclear: ‘What does this mean? How do we use it? Are people even off in the corner doing ChatGPT or something?” said Trevor Schulze (pictured), chief digital and information officer of Alteryx. “What we’re seeing now is we’re past that first uncertainty, [and now trying] to go after the big ideas and moving into production. Every CIO I talk to has this mandate to find those high-value areas for their company.”

Schulze spoke with theCUBE Research principal analyst Rob Strechay at Alteryx Inspire, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the evolving landscape of AI, the role of IT leaders in this transformation and the critical steps to harnessing AI’s potential effectively. (* Disclosure below.)

Alteryx’s Trevor Schulze discusses AI adoption pain points with theCUBE.

Smoothing out AI adoption rough edges

Being a chief information officer, one gets two broad perspectives on AI and data analytics: overseeing IT operations and using and supporting the development of cutting-edge technologies, according to Schulze.

“We worry about discrimination coming out of these models. We worry about bias, trust and privacy,” he said. “There’s so many important topics that we’re going after. I think the good news is companies like Alteryx take this very seriously. It’s actually something that I’ve been a part of working with the development team.”

Alteryx maintains a proactive approach to these challenges, emphasizing the importance of responsible AI frameworks. Companies can manage risks effectively by clearly defining where AI should and shouldn’t be used. Additionally, companies need to de-prioritize high-risk applications initially in favor of high-value, manageable-risk areas. This strategic approach helps build trust and ensures that AI applications are both safe and effective, according to Schulze.

“If you do it yourself, you have to learn yourself,” he said. “If you’re using Alteryx, you’re getting the network effect of feedback, input and safety from a larger customer set. That’s what I tell my team to go after daily.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Alteryx Inspire: 

(* Disclosure: TheCUBE is a paid media partner for the Alteryx Inspire event. Neither Alteryx Inc., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE