Event Registration: World Tour Virtual AMER

From inspiring keynotes to practical demos and insightful sessions, Data + AI World Tour has something for you. Registration is free, so join us on Thursday, December 12th.

This is your chance to explore the latest advances in the Databricks Data Intelligence Platform — including GenAI, business intelligence, data warehousing, data engineering, governance and collaboration.

Learn how to drive insights with natural language, integrate data management with AI and governance, and support GenAI applications with quality, privacy and control. See how leading companies are reducing TCO through automatic performance and storage optimization.

RAG Evaluations – Developing the Confidence to Go to Production

If you’ve been working on your GenAI models, you know that doing that PoC that demos well is pretty straightforward. However, in trying to launch your use case more broadly, you’re running into issues that you can’t seem to fix; how do you get past those issues and back on track?

In this session, we’ll discuss how Evaluation is the key to establishing a SDLC around GenAI, which unlocks production capabilities, and how Databricks Tools help with those SDLC tasks.

Customer: Experian

Unlocking the Power of Cybersecurity Data: BlackBerry's Journey with Databricks

Dive Into Building Production Quality Gen AI Applications With Agent Framework

In order to effectively move Generative AI applications from prototype to production, you need to have a good understanding of the quality and performance behind your AI system.

We'll cover Agent Framework a developer workflow that lets you quickly iterate on experiments and easy-to-get feedback to know if the quality is improving and helps measure metrics to get a quantitative view of how well your compound AI system is performing.

Join this session to see how we're bringing the power of Databricks Vector Search, Model Serving, MLflow, and more together in an end-to-end demo showing how to deploy a high-quality AI application.

AI/BI Genie - Intro and Best Practices

Developing on Databricks: Getting the most out of Notebooks, IDEs, and the Assistant

Comprehensive Guide to Mosaic AI: Getting GenAI Apps to Production on Databricks

Step into the world of rapid Generative AI application development with Mosaic AI. We'll explore the suite of tools within Mosaic AI that revolutionize how we create and maintain high-quality AI applications, cutting down the path to production.

Gain insights into:

Efficient Application Design: Learn how to leverage Mosaic AI to design production-quality GenAI applications
Seamless Maintenance Strategies: Discover strategies for the ongoing maintenance of your AI applications, ensuring they continue to meet evolving needs.
Practical Integration Techniques: Witness a comprehensive end-to-end demonstration that showcases the practical application of these tools and strategies in real-world scenarios.
This session is your gateway to mastering the intricacies of GenAI application development, offering actionable knowledge to streamline your projects with Mosaic AI and Databricks.

Getting Started with Databricks SQL: Live Demos and New Features

Join us for live demos on Databricks SQL and discover how our streamlined interfaces simplify data warehousing for analysts, developers, admins, and business users. Learn how to create a data warehouse, ingest and transform data, and build queries and dashboards effortlessly.

This session will showcase the latest features, including new AI assistants for coding and dashboards, performance optimizations with serverless infrastructure, and enhanced observability with system tables.

Additionally, we'll explore AI-powered capabilities that address performance, governance, and usability challenges in data warehousing, such as natural language queries and visualizations, and serverless, elastic infrastructure for better total cost of ownership.

Simplify Data, Analytics, and AI Orchestration with Databricks Workflows

Join the Databricks Workflows product team to learn about the latest capabilities of Databricks Workflows, the unified orchestrator for data, analytics, and AI on the Data Intelligence Platform. In this session, we’ll show how you can easily define, manage, and monitor multi-task workflows for ETL, analytics, and machine learning pipelines.

This session will include useful demos and showcase some of the recent innovations the team has added to Workflows including:

Repair runs for jobs and tasks with greater control
Enhanced control flow using for-each and conditionals
Improved job scheduling using file arrival and table triggers
Authoring jobs in Python using Databricks Asset Bundles

How to migrate from Snowflake to an open lakehouse using Delta Lake UniForm

The Delta Lake Universal Format, or UniForm for short, expands Delta Lake's existing ecosystem by allowing one single set of data to be used across all the tools in your lakehouse architecture.

With UniForm, you only need to save your data once, and then it can be accessed by any software that works with the main open table formats like Linux Foundation's Delta Lake, Apache Iceberg, and soon, Apache Hudi. It does this by creating Iceberg or Hudi metadata alongside Delta Lake, maintaining a single copy of the underlying Parquet data files.

In our session, we'll explain what UniForm can do now and what it will be able to do, and we'll go over the best ways to add Delta Lake UniForm to your lakehouse architecture.

9:00 AM - 9:40 AM	Keynote: The Data Intelligence Platform
9:40 AM - 10:30 AM	Customer Keynote: Mastercard
10:30 AM	Self-guided breakout sessions

Register Now

Free registration | Thursday, December 12, 2024

9:00am PT / 12:00pm ET

Agenda

Speakers

Breakout sessions: