Snowflake Delivers the Foundation for Autonomous Data Engineering, Powering the Agentic Enterprise with Trusted, Live Data

Christian Kleinerman, EVP of Product, Snowflake

“Every AI success story has a data team behind it”

Christian Kleinerman, EVP of Product, Snowflake

“However, even as AI scales across the enterprise, those teams are still keeping data accurate largely by hand.”

Christian Kleinerman, EVP of Product, Snowflake

“With data volumes continuing to skyrocket and agents taking on more of the work, that approach won't hold.”

Christian Kleinerman, EVP of Product, Snowflake

“Snowflake is bringing autonomous agents into data engineering and real-time data onto one governed platform, so data teams can stop holding the foundation together and spend more time building on it.”

Marius Garbowski, Vice President, Data & Analytics, auxmoney

“As a leading digital-lending platform for consumer credit in Europe, our risk and analytics teams depend on data that is accurate and well governed,”

Marius Garbowski, Vice President, Data & Analytics, auxmoney

“We've been bringing more of that work onto Snowflake, so it runs where our data already lives, and Pipeline Builder helps us connect the steps our teams build into end-to-end pipelines, so new insights improve our models and reach the business sooner.”

Marius Garbowski, Vice President, Data & Analytics, auxmoney

“Instead of piecing together our own tooling, we can rely on Snowflake to provide a robust foundation, allowing our teams to focus even more on data science and models that move our business forward.”

Dian Xu, VP, Engineering, New American Funding

“Snowflake has changed what our data team can deliver for the business,”

Dian Xu, VP, Engineering, New American Funding

“Snowflake CoCo has taken on much of the heavy lifting as we modernize hundreds of legacy pipelines and reports.”

Dian Xu, VP, Engineering, New American Funding

“Pipeline Builder is taking it a step further to give us a consistent way to turn that work into pipelines we can rely on every day.”

Dian Xu, VP, Engineering, New American Funding

“This allows our engineers to spend more time on the products that help borrowers and loan officers.”

Justin Boggs, Vice President, Data & Analytics, Minted

“Virtually every Minted order is personalized by the customer, from design to wording to paper choices, and each one generates a steady stream of events, including proofing, production, and delivery.”

Justin Boggs, Vice President, Data & Analytics, Minted

“Our teams need that data the moment it's created,”

Justin Boggs, Vice President, Data & Analytics, Minted

“We're working closely with Snowflake as an early design partner to help shape Datastream, as we streamline how we ingest data across our many services.”

Justin Boggs, Vice President, Data & Analytics, Minted

“Our goal is for our existing Kafka streams to flow directly into Snowflake, with less infrastructure to manage and faster access to data for teams across Minted.”

Dukwon Kang, Head of AI Division, Nexon

“Millions of players interact with our games every day, and what they do guides every decision we make, from game design to live operations,”

Dukwon Kang, Head of AI Division, Nexon

“Snowflake is the platform where we bring our scattered data together.”

Dukwon Kang, Head of AI Division, Nexon

“Since adopting AI analytics on Snowflake, we have made decisions 65% faster, and this is changing how we run our games across the board.”

Dukwon Kang, Head of AI Division, Nexon

“We also load unstructured business data into Snowflake, not just game logs, so AI can use it as context.”

Dukwon Kang, Head of AI Division, Nexon

“This makes it much easier for our teams to respond quickly to what players are doing and keep improving their experience.”

Kevin Knapp, Senior Director Software Engineering, Cboe Global Markets

“Our global trading markets run on massive volumes of data.”

Kevin Knapp, Senior Director Software Engineering, Cboe Global Markets

“Our participants expect it to be accurate and available almost instantly, when they need it,”

Kevin Knapp, Senior Director Software Engineering, Cboe Global Markets

“Our teams used to wait until the end of the day to analyze and deliver actionable reporting on market data because our legacy system moved it in batches.”

Kevin Knapp, Senior Director Software Engineering, Cboe Global Markets

“With Snowpipe Streaming, we now bring almost 200 billion rows of market data into Snowflake every day, and our teams can query it within seconds or minutes.”

Kevin Knapp, Senior Director Software Engineering, Cboe Global Markets

“Our internal teams having real-time access to market insights and customer trading behavior, on a Snowflake platform that has proven to deliver cloud scalability and reliability, is critical to our business operations.”

Kumar Maddali, VP Engineering and AI, Klarent

“Moving our heavy Spark workloads to Snowflake cut our total cost of ownership by 60%,”

Kumar Maddali, VP Engineering and AI, Klarent

“Our longest pipeline went from more than 10 hours to under three, and our engineers no longer spend their time keeping clusters running.”

Kumar Maddali, VP Engineering and AI, Klarent

“We now have a simpler, faster foundation for our data, and our team can focus on building.”