Even though data is the lifeblood of enterprises, its retrieval is at times cumbersome, and this is why democratizing data access with artificial intelligence is becoming the new kid on the technology block.

As a result, Seek AI Inc. has heeded this call since it democratizes data access by leveraging proprietary generative AI models and code generation, enabling users across organizations to effortlessly retrieve vital information, according to Sarah Nagy (pictured), co-founder and chief executive officer of Seek AI. 

Seek AI’s CEO Sarah Nagy talks to theCUBE about the essence of democratizing data access.

“Along the way, I was following LLM since 2018, and even as early as 2020, I was seeing this huge inflection point of how much better they were getting at generating code,” Nagy said. “I really put the pieces together and I started Seek in 2021 to basically be able to automate a lot of the stuff I didn’t want to do as a data scientist. People that work with data are so smart, they don’t want to be doing repetitive work, and I think AI is really going to free them up to be able to do this kind of work.”

Nagy spoke with theCUBE’s Rebecca Knight and Dave Vellante at Data Cloud Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Seek AI aids in democratizing data access thanks to AI. (* Disclosure below.)

ChatGPT aids in democratizing data access

Given that ChatGPT has set the ball rolling for large language models, it is playing an instrumental role in democratizing data access. As a result, the LLM era will aid in better decision making even at the semantic layer, Nagy pointed out. 

“If you look around at all of the innovations at Snowflake Summit this year, I think a lot of what you see is people pairing large language models, not only with raw data, but also with the metrics layer or the semantic layer,” she stated. “ChatGPT did us a huge favor. It just really got people interested in large language models. It kicked off this whole revolution.”

Through the strategic partnership between Snowflake Inc. and Seek AI, the latter recently rolled out Seek Native meant to enhance the retrieval of precise data insights. As a result, Seek Native is a Snowflake Native App that prompts the accurate visualization and querying of data using natural language, Nagy pointed out. 

“Even in 2021, when I was starting Seek, writing all the code myself, Snowflake was the first data warehouse or database,” she noted. “From the very beginning, I just was really excited about building with Snowflake, and so we actually were a very early partner with Native Apps and Snowpark Container Services. We’re just really excited to be part of the marketplace now.” 

Since wrangling raw data is a daunting task, Seek AI eradicates the heavy lifting through AI, and this helps in democratizing data access. Seek AI also provides data practitioners with an interface that enables them to thoroughly scrutinize AI, according to Nagy. 

“Our contribution to the space is using AI not just to maintain the semantic layer, but also to help people build and maintain it,” she explained. “Business users can use the natural language interface to just ask whatever questions that they have. We also have an entirely different interface that data analysts or data scientists can use to supervise what the AI is doing, help train the model and make it better and even do code generation themselves.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Data Cloud Summit: 

(* Disclosure: Seek AI Inc. sponsored this segment of theCUBE. Neither Seek AI nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE