Snowflake is constantly improving the value of a Snowflake credit via ongoing, transparent platform improvements. Cost-sensitive organizations need to fully understand their company’s usage needs and optimize usage over time while controlling resource provisioning. In this session, we will discuss the best practices to manage your Snowflake spend by featuring three essential attributes of active cost governance. Visibility enables full understanding of spending and accurate attribution. Controls allow you to set limits and take actions. Optimizations allow you to identify inefficient spend and reallocate dollars for more impact.

Apache Iceberg provides an open storage standard that can democratize your data stored in disparate data lakes by providing freedom and interoperability to use various data processing engines. Join this session to hear all of the latest Snowflake platform enhancements for Iceberg Tables, along with onboarding improvements and new integrations.

Join this session to learn how Snowflake and Amplitude together are helping to build and train AI models that can predict and support the best customer experiences to drive business growth. Come find out how organizations are using Snowflake, Amplitude and AI Models to fuel their data and business initiatives including:
– Supporting data-driven decisions
– Personalizing content journeys
– Increasing subscription and revenue growth

Explore the exciting world of AI research and innovation happening right here at Snowflake! Join us to get firsthand insights into the latest developments in large language models (LLM) straight from the experts.

Join this session to learn about the combined power of Snowflake and AWS in the world of Generative AI. Discover capabilities of both the platforms and how they can be cross-leveraged through a guided tour, and learn about potential industry use cases. The session will conclude with an easy-to-use Streamlit app wrapping the capabilities of the platforms.

Creating enterprise-grade applications can be quite complex. Join this session to learn about the best practices and latest capabilities the Snowflake Native App Framework provides to supercharge your application development. Learn about the security model and the diverse features of the Snowflake Native App Framework that enable the creation of secure applications such as the Streamlit permissions SDK. Explore the various UI extensibility options now available for Snowflake Native Apps with Snowpark Container Service, Streamlit in Snowsight, and other SDKs.

Apache Iceberg provides an open storage standard that can democratize your data stored in disparate data lakes by providing freedom and interoperability to use various data processing engines. Join this session to hear all of the latest Snowflake platform enhancements for Iceberg Tables, along with onboarding improvements and new integrations.

This session will dive deep into a holistic data governance approach around classification, tagging, policy implementation and lineage tracking. From the initial step of using our latest classification features to automate the process of identifying sensitive data, to protecting data via tag-based policies and establishing comprehensive lineage, we outline practical strategies for organizations to implement a seamless and effective data governance.

Come learn about how an open source Iceberg catalog REST API can democratize data stored in disparate data lakes while providing the freedom, flexibility and interoperability to work with numerous different data processing engines.

The current economic environment is putting pressure on leaders to accelerate and scale gen AI/ML-driven disruptions. This requires companies to accelerate their journey to the AI Data Cloud, and to do it cost-effectively. This session explores the application of FinOps best practices to help customers drive healthy and sustainable consumption. You will hear about our holistic framework covering People, Process and Technology pillars. This session is a must-attend for finance, IT professionals and Snowflake users keen on optimizing costs and better aligning consumption to business value.

Discover how you can personalize AI for your data easily using Snowflake Cortex. Learn how Snowflake Cortex simplifies fine-tuning an LLM using your unique data with simple functions to create powerful custom fine-tuned models. For those looking to push the boundaries, see how Snowpark Container Services can allow fully customized LLMs from any base model using NVIDIA accelerated infrastructure. Snowflake makes it easy for everyone to transform their data strategy with AI, regardless of skill level or AI expertise.

Join this session to hear the latest on Snowflake’s current capabilities for predictive and generative AI, and learn how they can empower your applications. We’ll provide an overview of how Snowflake’s generative AI features, including Snowflake Cortex and Copilot, empower customers to build cutting-edge LLM applications with ease. We’ll also dive into how Snowflake’s predictive AI functionalities, such as Snowpark ML and Snowflake Feature Store, can be easily used to build scalable, end-to-end ML workflows. Hear our perspective, current capabilities, roadmap and vision for AI/ML.

Data clean rooms have evolved from a third-party cookie replacement for media to an advanced, multi-party compute and collaboration system that safely unlocks sensitive and proprietary data across industries in ways never before possible. In this session, we will explore capabilities of Snowflake Global Data Clean Rooms, including how developers can customize code analysis templates for various use cases, integrate with custom data clean room implementations and partners across the ecosystem, and securely integrate and enable AI models into the data clean room.

In order to govern and secure your next-gen AI models end to end, you need to consider three categories of threats that go hand in hand with your ML and MLOps pipelines: 1) threats against your models, 2) threats against the infrastructure that runs your models, and 3) threats against the software supply chain used to generate and update your models. Join this session to learn best practices on how to protect against these threats while increasing your security, privacy and governance posture with Snowflake.

Customers typically need to use a range of tools and recruit platform-specific security professionals to manage their risk posture, which comes with high costs. This session offers a deep dive into how the Trust Center in Snowflake helps customers discover security and compliance risks across Snowflake accounts based on industry best practices. The Trust Center enables you to take immediate action to prevent and resolve violations before they escalate into account compromises, reduce security monitoring costs, and minimize security attack surfaces.

Snowpark Container Services was announced at Snowflake Summit 2023, and is now in public preview in AWS. With Snowpark Container Services you can build almost anything on Snowflake. But what should you build? And how should you build it? In this session, we will review a small number of the most common, built-for-purpose architectural patterns to leverage Snowpark Container Services to solve business-critical problems on Snowflake.

Snowpark Container Services empowers developers to securely execute code using virtually any language or library within Snowflake, unlocking potent applications in AI/ML and large language models. Snowflake Native Apps further enhance this capability by allowing these solutions to be packaged, delivered and monetized via Snowflake Marketplace. This session offers an in-depth look at the integration of Snowflake Native Apps with Snowpark Container Services, emphasizing the security implications of containers and the incorporation of Snowpark Container Services upgrades into the CI/CD processes of Snowflake Native Apps. Join us for a comprehensive exploration of these advanced technologies and their impact on future app developments.

In this session, we will provide an overview of the capabilities Snowflake offers for supporting multi-tenancy within a single account and across accounts, including workload isolation, data isolation, user management and secure data sharing. We will discuss deployment architectural patterns such as managed, connected and Snowflake – Native deployment patterns. Finally, we will walk through some best practices to effectively leverage Snowflake’s multi-tenancy, and choose the right deployment pattern based on your business context and requirements around security, compliance, governance and cost management.