Snowflake focused on simplifying data management for AI

“Simplicity drives results, and that is why Snowflake holds simplicity at the heart of our design. We give you an AI data cloud that's easy to use. We make it easy to implement. We make it easy to share, collaborate, use, and build with data,” says Adam Kaufman, Vice President, Global Head of Industry Go to Market at Snowflake.

The Snowflake World Tour 2025 in Singapore saw more than 1500 partners and customers come together to see how they can make the most of their data to not just leverage AI but develop better use cases that can help them improve their productivity and efficiency.

“Snowflake is committed to supporting Singapore's long-term vision of a Data and AI enabled nation, and we look forward to partnering with Singapore's leading Enterprises on this journey,” said Jenny Koh, Snowflake Singapore Country Manager.

With the increased demand for data management capabilities as companies look to develop and deploy more AI use cases, Adam Kaufman, Vice President, Global Head of Industry Go to Market at Snowflake believes the vendor is capable in helping customers remove the friction, break down barriers, and make the complex feel effortless, especially when it comes to unlocking outcomes with customer data in scenarios that were previously unimaginable.

“The true magic of a great technology is making something complicated feel easy. The key to a great solution is simplicity. Now some choose to check boxes on functionality and string together solutions and pass along the complexity to the end user, but the cracks show. Complexity creates risk. Complexity creates cost. Complexity creates friction, making it harder to get the job done. Simplicity drives results, and that is why Snowflake holds simplicity at the heart of our design. We give you an AI data cloud that's easy to use. We make it easy to implement. We make it easy to share, collaborate, use, and build with data. We make it easy to get value from your data across the entire data lifecycle. This simplicity has never been more important than it is right now in this age of AI,” Kaufman said in his speech at the summit.

For Kaufman, businesses should be able to have that simplicity when it comes to working with data.

“You should be able to ask a question with a voice memo and get an answer you’re your enterprise data or launch a customer app without writing a line of code, or build with an API knowing that y have the freedom to change your mind on the AI model or language at any time. You should be able to harness the power of the world's best AI models to build agents tailored to your business. That is how simplicity accelerates innovation, and that is why Snowflake AI is designed for ease of use,” he added.

Kaufman also pointed out that there are thousands of customers that are using Snowflake AI and machine learning on a weekly basis to accelerate their business. He added that an easy data experience starts with eliminating complexity so teams can focus on innovation.

There is no AI strategy without a data strategy

For Kaufman, data is the fuel for AI, and Snowflake makes it easy to put that fuel to work across the entire business.

Kaufman highlighted that there are currently thousands of Snowflake customers who are regularly sharing data, models, and apps with one another, and the Snowflake marketplace now has listings from over 750 partners and over 3,400 listings.

“Your data spans teams, departments, even organizations. Using Snowflake, industry leaders are securely sharing data with their customer and partner ecosystem, in some cases with hundreds of live connections to get the insights that they need. These connections can be enriched with AI chatbots that allow them to surface proprietary data faster and more efficiently, all using conversational language. That is the power of a connected AI data cloud. That connectivity creates fluid access to your data wherever it sits and empowers you to elevate your business performance,” he said.

As Snowflake enables businesses to have the flexibility and control of their data, Kaufman also pointed out that Snowflake supports modern open table formats, and customers can access core Snowflake functionality like data sharing, security, and performance optimization using Apache Iceberg.

“Companies are leveraging this flexibility to manage and query data at scale without compromising on security or performance. From there, you can streamline and scale your data pipelines. And once your data is in Snowflake, we help you unlock its full value with world-class analytics, and AI takes it even further. With Snowflake Intelligence, any user, whether a business user or a data user, can access insights and analytics, all using conversational language,” he added.

Kaufman concluded his speech by stating that Snowflake is not just focused on optimizing what customers do today but also helping them build what’s next.

“Your data does more with Snowflake, no matter the industry, the challenge, the opportunity ahead of you. We're helping our customers push the boundaries of innovation at each and every stage of their data and AI lifecycle. Easy, connected, trusted. That's the AI Data Cloud, and it's as simple as that,” he concluded.

The data ecosystem

Snowflake also announced a commitment to lead the Open Semantic Interchange (OSI), a new open source initiative, with leading industry partners and ecosystem vendors, including Salesforce, BlackRock, dbt Labs, and RelationalAI. The initiative addresses that challenge head-on by introducing a common, vendor-neutral semantic model specification that standardizes how semantic metadata is defined and shared — ensuring consistent business logic across AI and business intelligence (BI) applications.

As businesses look towards consistent semantics, every tool interprets business metrics and metadata differently — causing confusion, slowing adoption, and eroding trust in AI-driven insights. The OSI addresses this challenge head-on with a unified, vendor-neutral specification for business, domain, and industry semantics.

Specifically, OSI will enable semantic data to be interoperable and reliable across platforms, empowering organizations to scale AI and BI with greater confidence, speed, and trust.

The key goals of the initiative include enhancing interoperability across tools and platforms, accelerating the adoption of AI and BI applications and streamlining operations and reducing complexity.