‘The era of the agentic enterprise isn't coming, it's here’: Snowflake lays out what is business needs to be truly agentic

As businesses grapple with AI-powered workflows, Snowflake has outlined the essential components for a company to become a truly agentic enterprise. At the company's Snowflake World Tour London event, senior leaders emphasized the critical role data plays in this transformation. James Hall, Snowflake's Country Manager for the UK and Ireland, stated that "There's no enterprise AI strategy without a data strategy."

With UK&I customers like mobile operator GiffGaff and the London Stock Exchange Group now successfully implementing AI, Snowflake CEO Sridhar Ramaswamy and LSEG CEO joined the stage to reinforce this point.

Christian Kleinerman, EVP of Product Management, defined an agentic enterprise as one that has embedded AI-powered agents into its core operations, coordinating with humans, setting directions, setting guardrails, and automating processes to enhance productivity and business outcomes. He argued that the most impressive AI results stem from a robust data strategy, debunking the misconception that data will sort itself out.

Kleinerman identified three key elements for an organization to be truly agentic: an AI model, data context, and software and apps. These components converge into what Snowflake calls an "agentic control plane." Choosing an AI model is critical, as Snowflake is committed to offering flexibility in model selection. Understanding your business data is equally vital, as it determines how AI can benefit your organization.

Lastly, employing the right software and apps enables AI integration within your enterprise infrastructure, unifying and governing data for humans to make more informed decisions. The agentic control plane serves as the "glue" that connects these elements, allowing AI models to interoperate with the rest of your enterprise infrastructure and driving innovation.