Join this session to hear the latest on Snowflake’s current capabilities for 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.  Hear our perspective, current capabilities, roadmap and vision for AI.

In this session, we’ll take you behind the scenes of MoneyLion’s journey to modernise its Data architecture using a Lakehouse framework powered by Apache Iceberg, AWS and Snowflake. We’ll explore the key challenges we faced, and show how the Lakehouse architecture addressed them, enabling seamless data integration, management, and analytics. We’ll also share the hurdles we encountered during LakeHouse implementation and how we solved them. Finally, we’ll showcase how Snowflake plays a pivotal role in this architecture, offering scalable, high-performance data warehousing and query capabilities within the Lakehouse. If you’re looking to optimise data architecture, this session will arm you with actionable insights to transform your own data strategy.

Session by Accenture

This session explores AHAM’s transformative journey leveraging Snowflake’s cloud data platform. Learn how AHAM overcame key challenges, and unlocked new possibilities with snowflake. Discover the strategies, best practices, and lessons learned from AHAM’s real-world experience.

In this session we present the synergy of Snowflake, Amazon Bedrock, and Amazon SageMaker Canvas for building GenAI data apps. Using Snowflake’s data prowess, Bedrock’s scalability, and SageMaker Canvas’s ML will help add your own business context quickly, easily, privately – with the broadest choice of customization options.

Churn prediction relies on data analysis to be effective. Through data analysis, businesses gather, clean, and model customer data to uncover patterns and trends. This understanding of customer behavior is key for building accurate churn prediction models. By applying data analysis techniques, businesses can identify at-risk customers and take targeted actions to retain them. Essentially, data analysis provides the necessary foundation for effective churn prediction, helping businesses reduce churn and boost customer loyalty.

In this hands-on lab, we will play the role of a data scientist at a telecom company that wants to identify users who are at high risk of churning. To accomplish this, we need to build a model that can learn how to identify such users. We will demonstrate how to use Snowflake Notebooks in conjunction with Snowflake/Snowpark to build a Random Forest Classifier to help us with this task.

Snowflake ML is making it easier and faster for data scientists and machine learning (ML) engineers to develop and deploy end-to-end ML models next to their governed data. Join this session to see Snowflake experts showcase the latest updates for ML workflows, including Notebooks, Model Registry, Feature Store and Snowpark ML.

Join us for an exciting journey into the future of AI and data. Discover how Snowflake Copilot, a breakthrough AI-powered SQL assistant, turbocharges data analysis while maintaining robust security and governance. In this session, we’ll explore Copilot’s transformative impact on enterprise analytics and offer a sneak peek into what’s next: enabling business users to converse with their data directly. Prepare to unlock new levels of efficiency and insight!

Data privacy continues to be a paramount consideration for organizations looking to gain more value from their data as data privacy regulations evolve and now exist in over 70% of countries globally, according to the UNCTAD. Data owners are often making a challenging trade-off between not leveraging their sensitive data versus being able to collaborate and generate revenue from that data. Join this session to learn how the latest Snowflake Horizon product innovations in data privacy enable you to unlock more revenue and deeper partnerships with your sensitive, regulated and proprietary data, while protecting it with privacy-enhanced collaboration across multiple parties.

This session will focus on using Snowpark Container Services for advanced AI use cases. Instead of bringing data to AI, you can bring AI to your data easily and securely with native apps that run on Snowpark Container Services.

The demo will cover using Landing AI as a native app in Snowflake, to perform image recognition on datasets available from the Snowflake Marketplace with large vision models.

To efficiently and securely combine data with LLMs, data and engineering teams can use serverless LLMs and search services for all available data inside Snowflake. Join us in this hands-on lab to learn how seamless it can be to use integrated and easy to use AI infrastructure to quickly build and deploy scalable and secure apps. At the end of this lab, you will have experience in using LLMs to analyze text data and be ready to go onto building chatbots and other types of AI applications using the latest features in Snowflake Cortex AI and Streamlit.