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 and Increasing subscription and revenue growth

Unveiling a future of streamlined workflows powered by LLMs and generative AI! Effortlessly extract data from PDFs and documents with Document AI, refine your SQL queries with our LLM-powered assistant Snowflake Copilot, and navigate the unified data and app landscape with Universal Search. Join us to unlock new levels of productivity!

Your AI projects need a trusted data foundation.  Marketing craves insights from diverse SaaS applications.  Manufacturing and Finance want to integrate SAP data with data from other sources.  And everyone needs it yesterday!  Discover how Qlik and Snowflake are helping businesses harness all their enterprise data and external data sources to accelerate data delivery, create AI-ready datasets, and deliver real-time, prescriptive insights in a secure and governed manner. 

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.

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.

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.

In the age of data abundance, ensuring data quality remains a persistent challenge for organizations. In this session, we will delve into how the Snowflake IT team built a zero code data quality solution using Snowflake’s own Snowpark and Streamlit. You will learn how you too can architect robust data quality frameworks without the need for traditional coding.

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.

According to Gartner Research, companies can lose up to 30% in revenue annually due to inefficiencies resulting from incorrect or siloed data. Snowflake provides organizations with the tool set to break down silos by expanding internal collaboration, centralizing data from enterprise applications, running apps directly on data – without data movement or copy – as well as unlocking collaboration across customers, vendors and business partners. In this session, we’ll dive into how customers are realizing more value from their data through collaboration, and how even nontechnical users can discover the content made available to them across the Data Cloud through LLM-powered search.

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.

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.

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.

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.

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.

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.