Artificial intelligence and data management are revolutionizing business operations, providing new AI tools for business to enhance decision-making and streamline processes.

Recent innovations like Snowflake’s Cortex series are making AI more accessible and efficient for businesses of all sizes. By fine-tuning models and offering intuitive interfaces for data interaction, these advancements are set to transform the industry landscape.

Snowflake’s Baris Gultekin and Bayer’s Mukesh Dubey talk with theCUBE about AI tools for business.

“What we’ve focused on to make the AI accessible is we focus on making it super easy, also very efficient and trusted,” said Baris Gultekin (pictured, left), AI product lead at Snowflake Inc. “Everything is built from the ground up from a trust perspective, all the access controls are respected. Then we’ve made this super simple to use.”

Gultekin was joined by Mukesh Dubey (right), product management and architecture lead of data and commercial platforms at Bayer U.S. LLC, as they spoke with theCUBE Research analysts Dave Vellante and George Gilbert at Data Cloud Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the integration of AI with data management strategies and how it is reshaping the business landscape. (* Disclosure below.)

Major AI innovations and their impact

Snowflake’s recent product launches, particularly the Cortex series, which includes Cortex Fine-Tuning, Cortex Search and Cortex Analyst are designed to enhance the usability and accuracy of AI models, making them more accessible to businesses, according to Gultekin.

“We’ve announced three major products this week,” he said. “One is Cortex Fine-Tuning. Cortex has had a series of models that are kind of best in class. Our customers can take these models and then customize them for their needs in a very simple interface. This makes these models both increasing their accuracy for that specific need, as well as reducing the cost.”

Cortex Search and Cortex Analyst are pivotal in enabling businesses to interact with structured and unstructured data. These tools facilitate better data utilization and decision-making processes, empowering businesses to derive more value from data.

“The two main use cases of AI has been talking to your data, either talking to your documents from an unstructured data perspective, or talking to your structured data,” Gultekin added. “We’ve announced two products for those. One is Cortex Search. Cortex Search allows you to search through your data so that you can build RAG applications. The other one is Cortex Analyst, allowing you to build business intelligence type applications.”

Real-world applications and future prospects for AI tools for business

Data management and AI have an intertwined nature, as a solid data foundation is imperative for successful AI applications. This makes data governance is an important aspect of AI implementation, according to Dubey.

“I do two things,” he said. “One is having a workable architecture for data management and analytics. The second one is data governance … that’s a foundation for any of the AI product”

Sharing insights into Bayer’s AI strategy and its practical applications Dubey discussed how AI is utilized across various divisions to improve products and optimize processes. This demonstrates the versatility and wide-ranging impact of AI tools for business in enhancing operational efficiency and product quality, Dubey added.

“In all divisions, the traditional AI is always used either to create a better product or to optimize the process,” he said. “Either it is customer services or product supplier or demand planning.”

Simplicity in AI adoption is crucial, according to Dubey. The principle is critical for encouraging widespread AI adoption across various levels of an organization, from executives to data analysts.

“Any product adoption will happen if it is simple,” he said. “Any architecture or any speed, anything will happen if it is simple. Either it is an architecture or it is a process to consume the information or process to build whatever it has. Everything has to be simple.”

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

(* Disclosure: Snowflake Inc. and Bayer U.S. LLC sponsored this segment of theCUBE. Neither Snowflake, Bayer nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE