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. 

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.

Explore AstraZeneca’s transformation using Snowflake’s Data Cloud to revolutionise its enterprise data platform. This session showcases an example of how AstraZeneca streamlined data architecture, enhanced governance, and fostered cross-unit collaboration. Learn about the tangible benefits, including cost reduction and improved data accessibility, demonstrating AstraZeneca’s innovative approach to data management in life sciences.

In today’s data-driven business landscape, empowering teams with effective reporting tools is critical for extracting meaningful narratives from numbers and insights from data. Actionable data insights are the cornerstone for driving valuable business decisions. This session will explore Merkle’s migration from traditional reporting tools to Snowflake’s Streamlit integration that enables interactive, AI powered reporting and dashboards . This talk will seek to demonstrate how Snowflake-Streamlit offers improved data control, collaboration, and empowers teams to create near real-time, customizable reports, overcoming the limitations of traditional platforms. This talk will ultimately introduce a practical framework for migrating to Streamlit, helping organizations/talent enhance their data analytics journey and unlock deeper business insights with a touch of AI. Thereby turning numbers into narratives.

Join this session to learn how to harness the power of generative AI using Snowflake and AWS. Explore AWS’s generative AI capabilities and discover how to combine Snowflake’s capabilities with AWS to build seamless generative AI driven solutions. The session will include a showcase of platform integration patterns through reference architectures, followed by a demo on building a generative AI application with Streamlit in Snowflake and Amazon Bedrock.

Join this session to hear how Ericsson migrated a large managed Spark platform to Snowflake in under a year. The migration was massively accelerated by enabling the development teams to migrate workloads with expert support from Snowflake Professional Services.

This session will focus on using Snowpark Container Services to securely and easily deploy custom LLM models in Snowflake. The demo will address the challenges of managing extensive client information in sales. We showcase a Streamlit-based LLM AI assistant, a one-stop shop for salespeople to fetch their customer status. The demo will include creating simple Q&A; generating account overviews from a mix of structured and unstructured data using tagging and sentiment analysis; facilitating context-based account detail retrieval through RAG; and serving large token LLMs in Snowpark Container Services with multi-node, multi-GPU compute on Ray clusters.

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.

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.

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.

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.

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.

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 mesh is a hugely popular approach to intra-company collaboration. However, many companies are struggling with efficient discoverability and access to data products, while ensuring effective governance, compliance and data quality. Snowflake Horizon makes these challenges not so challenging anymore. Join this session to learn how Snowflake’s built-in discovery and governance solution gives you the tools you need to implement intra-organizational data sharing with confidence.

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.

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.

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.

Whether you’re looking to expand your skill set and knowledge or find new career opportunities, being able to demonstrate your knowledge through a SnowPro Certification will help you stand out in the data community and strengthen your career profile.
Join us as our in-house experts cover how to prepare for Snowflake’s foundational level certification, the SnowPro Core Certification, by exploring the main program topics and identifying where to allocate your preparation time.
During this session you will learn:
– Understand the SnowPro Core Certification exam format and structure
– How to prepare for the certification exam with resources and assets specific to SnowPro Core
– Review Core Exam Questions from previous exams

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.

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.

Observability shouldn’t be an afterthought. Join this session to learn the latest observability features for data engineers and app developers now coming to Snowflake. You will learn how you can better monitor, diagnose and troubleshoot, and gain insight into your apps, pipelines and compute.