It seems as if almost every company has been eagerly adopting generative artificial intelligence. But what’s the ultimate goal behind this trend?

Gen AI has the potential to be one of the most revolutionary technologies since the advent of the internet. It remains to be seen whether the utilization of advanced language models, such as OpenAI’s ChatGPT or Google’s Bard, will transform the process of content creation, accessibility and delivery. Prior to the launch of ChatGPT by OpenAI, Kubiya.ai held the title of being the self-proclaimed ChatGPT for DevOps, revolutionizing various aspects such as marketing operations, automation and coding within the DevOps community, according to Amit Eyal Govrin (pictured, left), co-founder and chief executive officer of Kubiya Inc.

“We’re looking to solve a very specific exchange between the developers and the platform engineers or DevOps,” he said. “The concept is when it comes to self-service, automation knowledge and so forth, that’s not always intuitive. That’s not always as straightforward as it may appear. Imagine that even in 2023, with large language models, there are still a lot of adoption barriers. And we’re seeing that plateau.”

Govrin and Yogev Shifman (right), co-founder and chief product officer at Wand.ai, spoke with theCUBE industry analysts John Furrier and Dave Vellante at Supercloud 4, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the challenges and opportunities startups face in the evolving landscape of enterprise AI.

Personalizing your AI

Both Kubiya and Wand underscore the importance of personalization in their AI solutions. Their systems are designed to adapt to individual users’ needs and preferences, creating a more intuitive and efficient AI interaction. These systems can perform tasks ranging from email management to complex analytical processes.

“You can get a human intuition on solving data science tasks and actions. You can actually just ask us what is my churn, and I will get the answer and not try and let someone build it for you,” Shifman said. “That’s the pivot we did. We saw the opportunity of automating everything we wanted the human to do, because the human part of what we tried to do is not the complex part. The IP is in solving the analytical part.”

Provide value to attract

In the dynamic realm of the technology industry, it is imperative for founders to prioritize delivering value to the market rather than getting caught up in fleeting market trends and investor demands. Both Govrin and Shifman stressed the significance of executing their ideas effectively, as this can attract the attention of savvy investors who recognize the potential for success. With the growing development of AI technology, it is expected that there will be numerous competitors, and startups need to move fast and focus.

“Execution. I think that’s the one thing startups need to have in mind. Not investors, not the markets. You just need to focus on your execution because, as you said, we are agile,” Shifman said. “We can move fast. We can break stuff. Focus on your execution and differentiators, the side on the value that you bring to the market that no one else does, even if it’s small, and make it grow. But focus on execution.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Supercloud 4:

Photo: SiliconANGLE