Top 3 reasons to attend
- Discover the latest advances in GenAI, machine learning, analytics and data governances.
- 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.
Agenda overview
| Registration | 8:00 AM - 5:00 PM |
| Expo | 8:00 AM - 9:00 AM 10:30 AM - 6:00 PM |
| Keynote | 9:00 AM - 10:30 AM |
| Training | 10:45 AM - 12:15 PM |
| Breakout Sessions | 11:00 AM - 4:30 PM |
| Lunch | 12:00 PM - 1:30 PM |
| Training | 1:00 PM - 3:00 PM |
| Reception | 4:30 PM - 6:00 PM |
Speakers
SVP of Product
Databricks
Sr. Director, Data Collaboration
Databricks
Sr. Delivery Solutions Architect
Databricks
VP, Software Engineering
VIZIO
Customer Success Manager
Monte Carlo
Product Architect
Databricks
Sr. Businesss Intelligence Manager
Million Dollar Baby
Sr. Solutions Architect
Databricks
Vice President, Advisory CISO Worldwide
Blackberry
Head of AI/ML Innovation
Experian
Sr. Product Manager
Databricks
Solutions Architect
Databricks
Principal Solutions Architect
Qlik
Solutions Architect
Databricks
Solutions Architect
Databricks
Director of Engineering, Data
Samba TV
Director - Data and ML Engineering
Fanduel
SVP of Emerging Technology
Fox Corporation
Technical Architect
Salesforce
Databricks Certified Instructor
Databricks
Staff Data Scientist
Databricks
Featured sessions
Featured sessions
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 for designing 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.
Discover Unity Catalog: Your Guide to Governance for Data and AI with Live Demos and new features!
Join the Unity Catalog product team for an in-depth exploration of the latest in data and AI governance. Unity Catalog is the only solution that offers unified governance for both data and AI, native to the Databricks Data Intelligence Platform. In this session, we will unveil the newest features, such as enhanced governance with detailed row/column filtering, Governed Tags, Attribute-Based Access Controls (ABAC), and the latest updates in automated data lineage, governance for ML assets, and performance improvements.
This session, packed with demos, will illustrate how Unity Catalog's new features can streamline your data governance processes and simplify your analytics and AI initiatives. You'll also get an exclusive preview of our future plans. Plus, seize the opportunity to pose your most pressing questions to the product experts and learn why Unity Catalog is the best governance solution for all your data and AI. Don’t miss out on this exciting opportunity to level up your data game with Unity Catalog!
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.
AI/BI Genie - Intro and Best Practices
As a busy data professional, you're probably getting far more requests to answer questions and build visualizations than you have time to actually handle. What if you can empower your partner teams to do more in a self-service way? In this talk we'll explore some best practices in doing so.
Building a Trusted Data Foundation for AI on Databricks
For companies looking to use the power of AI at scale, modernizing data engineering is not a choice, it’s a requirement. Doing that right means having the ability to automate the discovery, integration, & transformation of source data directly into Databricks, while tapping into advanced functionalities directly within workflows. Learn how Qlik integrates with Databricks MosaicAI, and automates real-time complete end-to-end pipelines that are low or no-code. Spend less time integrating & transforming data & more time performing rich AI driven analysis, LMM fine tuning, and feeding Machine Learning & generative AI models like Databricks DBRX. Join this session how Qlik Talend Data Integration automates the delivery and transformation of sources data, including SAP to the Databricks Intelligent Data Platform. Plus, hear examples of successful real-time data integration into the Databricks Lakehouse from customers like Vale, Textron, Mercedes Benz, Trek Bikes, and JB Hunt.
Data + AI World Tour Keynote
Complexity has long been the barrier to success with data and AI. But, the unification of lakehouse architecture with generative AI has rapidly opened up new opportunities to simplification. By bringing AI to your data, you can analyze huge quantities of information from many different sources to generate outputs that drive efficiency, spur creative thinking and enhance productivity.
Hear from Databricks leaders about the latest innovations in AI, data warehousing, and analytics on the Databricks Data Intelligence Platform. Additionally, data leaders will explore the interconnections between data and AI and how to save good models from bad data.
Delta Live Tables in Depth: Best Practices for Intelligent Data Pipelines
Join Databricks Product SMEs for the authoritative guide to Delta Live Tables (DLT). Learn what’s new, what’s coming, and how to easily master the ins and outs of DLT.
In this session we will explain and demonstrate:
- Pipeline development best practices
- Unity Catalog integration with DLT
- Data quality, monitoring and operations
- Serverless compute for DLT
- DLT Flows: The next generation of Delta Live Tables
Democratizing Data & AI with Databricks & Salesforce
Come learn about the latest Salesforce and Databricks innovations and how they can help drive more value from your existing technology investments in Databricks. See how you can leverage your existing ML models for more personalized customer engagements in the Salesforce 360 platform and also how you can simplify your data pipeline with our zero copy integration.
Developing on Databricks: Getting the most out of Notebooks, IDEs, and the Assistant
Databricks offers a powerful first-party developer experience with the Databricks Notebook and provides direct integrations with leading third-party IDEs. Learn about what’s new with the Notebook, Assistant, and IDE integrations to decide what best suits your use case and how to take your data analysis to the next level.
Explore the latest in Data Sharing and Collaboration
Databricks is the platform for secure and open collaboration. Organizations need sharing solutions that support more than just data. We recently released AI model sharing to accelerate innovation, volume sharing of images, audio, video, and more to unlock data + AI use cases, and solution accelerators purpose-built for industry use cases.
The Databricks Data Intelligence Platform provides an open approach for sharing with maximal reach and impact. Your organization can now seamlessly share datasets, AI models, volumes, and solutions in a unified way, with an open ecosystem for massive reach offering privacy-safe collaboration.
In this session, we’ll cover the latest across our products: Delta Sharing – the open protocol for cross-platform data sharing; Databricks Marketplace – the open marketplace for data and AI solutions; and Databricks Clean Rooms – the privacy-safe collaboration environment for data and AI. Join us for this jam-packed session, and bring your data sharing questions!
Get Started with Data Engineering (without labs)
Hands-on labs: No
In this course, you will learn basic skills that will allow you to use the Databricks Data Intelligence Platform to perform a simple data engineering workflow.
Learning objectives
By the end of this course, you will:
- Describe fundamental concepts about Databricks
- Work with objects in Databricks such as catalogs, schemas, volumes, tables, compute clusters and notebooks
- Follow a basic data engineering workflow to perform tasks such as creating and working with tables
- Ingest data into Delta Lake
- Transform data through the medallion architecture
- Use Databricks Workflows to orchestrate data engineering tasks.
Note: All follow-along demonstrations are presented as view-only demonstrations, and the content does not include a comprehensive lab experience.
Prerequisites:
- Beginner-level knowledge of the Databricks Data Intelligence Platform.
- Beginner familiarity with cloud computing concepts (virtual machines, object storage, etc.)
- Intermediate experience with basic SQL concepts (select, filter, groupby, join, etc)"
Get Started with GenAI
Hands-on labs: No
Learn how to navigate the Databricks Platform to build and develop Generative AI applications in this follow-along course. You will learn how to develop prompts, and compound AI systems using MLflow and Mosaic AI on the platform. As well as learn concepts around governance and differences with GenAI.
Learning objectives
By the end of the course, you will learn:
- Generative AI opportunities and challenges
- How to set up a dev environment and get started with prompt engineering on Databricks with MLFlow
- How to build a compound AI system with retrieval augmented generation (RAG)
- Introduction to fine-tuning models and pretraining LLMs with Mosaic AI
- How to approach governance for AI applications
Prerequisites:
- Intermediate-level experience with Python
- Working knowledge of machine learning and deep learning is helpful
LakeFlow Connectors: Introducing Databricks’ Native Ingestion Connectors
A major challenge data practitioners face is maintaining data ingestion pipelines—from on-prem database connectivity, to evolving SaaS APIs, to holistic governance.
This is why we built Databricks I/O: a set of native ingestion connectors for popular SaaS applications, databases, and file sources. These connectors are auto-optimized, low-maintenance, and integrated with the rest of the Data Intelligence Platform—from governance via Unity Catalog to orchestration via Workflows (and more). And you can do it all via a no-code UI or an API.
In this demo-packed session, you’ll learn about what’s launching, what’s on the roadmap, how to take full advantage of this product, and what customers have already said about it. You’ll also get your questions answered by the R&D leads who built it.
Leveraging Databricks for Scale and Production Deployments
As the gaming industry continues to grow at a rapid pace, FanDuel heavily relies on Databricks deployed in AWS to drive our data and machine learning lifecycle. We’ll discuss our journey scaling our platform processes, deploying ML services, and development of frameworks that promoted collaboration and efficiency throughout FanDuel.
Lunch
We will cater to dairy-free, gluten-free, nut-free, vegetarian and vegan requirements.
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.
Samba and Databricks: A Cloud Journey
Samba has at least three Engineering teams using Databricks in different ways. Learn how Samba adopted Databricks Serverless, Unity Catalog, and Feature Store to improve observability and accelerate developer velocity. The journey wasn't a straight line, but the organization is in a better place today.
Sigma: Scaling a Simplified Approach to Analytics & Data Apps
By leveraging Sigma and Databricks, children's furniture retailer and manufacturer Million Dollar Baby built solutions to tackle complex use cases in finance, sales planning, and inventory management from a secure, single source of truth. This session will highlight lessons learned while modernizing the data stack, building sophisticated workflows and launching true self-service apps for business teams on live data. The result? Less reliance on Excel, legacy BI, and engineering, saving hundreds of hours each month.
Tuning into Data Quality: VIZIO’s Data Evolution at Scale
VIZIO, a leading provider of smart TVs, soundbars, and streaming services, is well versed in managing both data and industry changes at scale. With thousands of tables, a massive influx of user data, and the rigorous regulations that come with being a publicly traded company, maintaining data quality has never been more critical—or complex. As VIZIO's data team embarked on modernizing their data stack, scalability and data quality became central to their data strategy.
In this session, Andrew Baker, VP of Software Engineering at VIZIO, will walk you through their data transformation journey. He will highlight the evolution of VIZIO’s data architecture, offering insights into how the team leverages Databricks and Monte Carlo to maintain high levels of data reliability and quality. He’ll also share lessons learned from VIZIO's data initiatives, exploring the critical role of data observability in supporting continued growth and compliance in a dynamic, data-driven landscape.
Unlocking the Power of Cybersecurity Data: BlackBerry's Journey with Databricks
BlackBerry will share insights into their strategic partnership with Databricks and how it
Sponsors
Sponsors
Alation
Alation is the leader in enterprise data intelligence solutions, enabling self-service analytics, cloud transformation, data governance, and AI-ready data. Alation is built for everyone to find, understand, and trust data for smarter analytics and AI usage, delivering data lakehouse success. Alation’s open and extensible integration with Databricks, across an organization’s data ecosystem, helps modernize the AI data stack. More than 550 enterprises build data culture and improve data-driven decision-making with Alation, including Albertsons, DocuSign, Nasdaq, Hertz, RaceTrac, New Relic, and DraftKings.
Amperity
With Amperity, brands can build a first-party data foundation to fuel customer acquisition and retention, personalize experiences that build loyalty, and manage privacy compliance. Using patented AI and machine learning methods, Amperity stitches together all customer interactions to build a unified view that seamlessly connects to marketing and technology tools. Amperity delivers the data confidence brands need to unlock growth by truly knowing their customers. More than 400 brands worldwide rely on Amperity to turn data into business value, including Alaska Airlines, DICK’S Sporting Goods, Endeavour Drinks, Planet Fitness, Seattle Sounders FC, Under Armour and Wyndham Hotels & Resorts. For more information, visit amperity.com or follow us on Linkedin, Twitter, Facebook and Instagram.
Anomalo
Anomalo is the market leader in enterprise data quality monitoring, leveraging automated AI to swiftly detect and resolve data issues. Its advanced machine learning techniques ensure data integrity for decision-making and analytics, reducing risks and costs associated with data errors. Designed for scalability, Anomalo adapts to evolving enterprise needs, enhancing operational efficiency. By transforming enterprise data management from reactive to proactive, Anomalo not only safeguards data accuracy but also provides enterprises a competitive edge in the data-driven world.
Blackberry
BlackBerry is a leader in endpoint security, endpoint management, encryption, and embedded systems, protecting enterprises and governments around the world. Our end-to-end approach is deeply rooted in Cylance® AI and machine learning, providing continuous preventative protection, detection, and instant response. We extend protection for your organization against current and future cyberthreats by combining network and endpoint telemetry and by delivering innovative solutions in the areas of cybersecurity, safety, and data privacy.
Celebal Technologies
Celebal Technologies is a leading global IT services organization renowned for driving enterprise digital transformations across diverse industries. Our expertise spans Generative AI, Machine Learning, Data Science, Industry Data Models, Database Migration, Unity Catalog Migrations and SAP Modernization. With a proven track record, we've successfully collaborated with over 200 clients worldwide. By seamlessly integrating traditional enterprise practices with cutting-edge cloud technologies, we empower businesses to thrive in the digital era. We are committed to delivering holistic, end-to-end solutions that drive sustainable growth and provide a competitive advantage.
Datafold, Inc.
Datafold is the proactive data quality platform that integrates automated data testing and observability into every part of the data workflow, helping data teams prevent data quality issues before they impact production. By focusing on prevention rather than detection, Datafold accelerates development velocity and ensures high-quality data flows through your pipelines. Datafold supports automated testing for data migrations, CI/CD pipelines, data monitoring, and more.
DataNimbus
DataNimbus specializes in Data and AI solutions that help companies modernize data infrastructure and derive actionable insights. Our innovative product, DataNimbus Designer for Databricks, significantly reduces development and run-time costs by deploying ETL workloads natively inside the Databricks environment. With specialization in MLOps and Data engineering, we offer comprehensive consulting services to streamline model lifecycle management and complex ETL/ELT pipelines across industries. Our AI/ML accelerators, powered by cutting-edge machine learning and generative AI, automate data analytics, drastically reducing development time.
dbt Labs
dbt Labs was founded in 2016 with the mission to empower analysts to create and disseminate organizational knowledge. The company pioneered the practice of analytics engineering and developed dbt, a primary tool in the analytics engineering toolbox. Today, dbt is used by 30,000 companies weekly, has 100,000 community members, and over 4,100 dbt Cloud customers.
Fivetran
Fivetran, the global leader in data movement, helps customers use their data to power everything from AI applications and ML models, to predictive analytics and operational workloads. The Fivetran platform reliably and securely centralizes data from hundreds of SaaS applications and databases into any cloud destination — whether deployed on-premises, in the cloud or in a hybrid environment. Thousands of global brands, including Autodesk, Condé Nast, JetBlue and Morgan Stanley, trust Fivetran to move their most valuable data assets to fuel analytics, drive operational efficiencies and power innovation. For more info, visit fivetran.com.
Informatica
Informatica (NYSE: INFA), a leader in enterprise AI-powered cloud data management, brings data and AI to life by empowering businesses to realize the transformative power of their most critical assets. We have pioneered the Informatica Intelligent Data Management Cloud™ (IDMC) that manages data across any multi-cloud, hybrid system. Informatica. Where data and AI come to life.™
Monte Carlo
Barr Moses, CEO and Co-founder of Monte Carlo, coined the term data observability with the mission of making data and AI more reliable. Our data observability platform ensures data teams are the first to know and solve data quality issues - before they impact the business. Monte Carlo is used by hundreds of data teams and across the largest Databricks deployments including Riot Games, Amgen, Comcast and more. We continue to lead the category as we enter the age of generative AI, helping teams improve the reliability of their AI products by ensuring that the data that is feeding LLMs is trustworthy, accurate, and on time.
Prophecy
Prophecy is the data copilot company. Fortune 500 enterprises - including the largest institutions in banking, insurance, healthcare & life sciences, and technology - rely on Prophecy Data Transformation Copilot to accelerate AI and analytics by delivering data that is clean, trusted, and timely. Prophecy enables all data users and makes them productive by helping develop, deploy, and observe data pipelines on cloud data platforms. Organizations trust Prophecy for the most demanding workloads, including tens of thousands of data pipelines that deliver massive volumes of data for AI and analytics.
Qlik
Qlik is a recognized top tier Select Databricks partner, serving more than 40,000 global customers. It is our mission to ensure they can get the most value from their data. To reveal hidden patterns, address complex challenges, and seize new opportunities. Qlik Talend Cloud uses AI-augmented, low-to-no code data pipeline designer to provide real-time ingestion automation, transformation, security, and governance for Databricks customers. Now engineers and architects can deliver trusted and continuous data streams from hundreds of diverse data sources with complex Change-Data-Capture capability directly to Databricks Data Intelligence platform and MosaicAI. The Qlik Talend Cloud Data Integration platform provides the necessary tools and features to build a reliable foundation for AI innovation.
Salesforce
Salesforce is the #1 AI CRM, where Humans with agents drive customer success together. Through Agentforce, our suite of customizable agents and tools, Salesforce brings autonomous agents, unified data, analytics, and Customer 360 apps together on one integrated platform to help companies connect with customers in a whole new way. With product integrations around Tableau and Salesforce Data Cloud, our partnership with Databricks delivers the best-of-breed solution for customers to unify, analyze and act on their data while building a single source of the truth.
Satori Cyber Inc.
Satori is a Data Security Platform that allows data teams to enable their users to go fast with their data while meeting security and compliance requirements. This in turn helps companies win with data, and become AI-ready faster. Satori continuously discovers sensitive data across your databases, lakes and warehouses, tracks data usage and applies security policies dynamically. Learn more at satoricyber.com.
Sigma Computing
Sigma is next-generation analytics and business intelligence that scales billions of records using spreadsheets, SQL, Python, or AI—without compromising speed and security. Sigma is the only Cloud Analytics solution with a spreadsheet-like interface that enables anyone to explore data. Discover what happened, why it happened, and what will happen.
SunnyData.ai
SunnyData is a Databricks-centered Partner with strong Data Engineering roots. We transition complex data projects from the lab to real-world impact, as the core of any successful AI, ML or Data Science project lies in a strong fundamental Data Engineering practice and architecture. We are a company founded by data architects and engineers with a proven track record of implementation and revenue growth in our careers. Our commitment to Databricks is unwavering - it's not just a platform for us; it's our passion, our focus and the platform we consult and deliver on. This singular focus allows us to harness Databricks' full potential, allowing customers to be successful, add more use cases and deepen their partnership with Databricks.
ThoughtSpot
The world’s most innovative companies use AI-Powered Analytics from ThoughtSpot to empower every person in their organization with the ability to ask and answer data questions, create and interact with data-driven insights, and use these insights to make informed decisions. ThoughtSpot delivers a complete platform for the modern data stack spanning the entire spectrum of business intelligence needs, from ad hoc novel analysis with a code-first approach, to code-free self-service exploration and AI-driven monitoring powered by natural language. That’s why companies like T-Mobile, CVS, Daimler, Capital One, and Huel have turned to ThoughtSpot to transform their data driven cultures.
Unravel Data
Unravel’s AI-powered data actionability platform enables you to go beyond just observing problems. Instead, take immediate action with purpose-built AI agents and automation to govern spend, optimize code, and simplify operations. Empower your FinOps, DataOps, and data engineering teams for transformative results. Leading enterprises such as Humana, Intel, Equifax, Maersk, and 7-Eleven rely on Unravel to unlock data value, accelerate transformation, and scale innovation. Unravel is headquartered in Mountain View, California and has offices around the world.
Event details and FAQ
| How should I plan to get to the event? | The event is to be held at the Hilton LAX in Los Angeles. Attendees are encouraged to utilize public transportation or a taxi/rideshare service for convenient access to the venue. Self-parking is offered onsite for a fee of $27. Alternatively, valet parking is available for $33. Please note that parking validation will not be provided, and spaces are allocated on a first-come, first-served basis. |
| Will there be a cloakroom on site? | We will not offer a cloakroom onsite, so we recommend that you take as little as possible to the venue to enjoy the event. |
| How much does it cost to attend the Data + AI World Tour? | All Data + AI World Tour stops are free to attend. |
| I am having difficulties registering. How can I get help? | Please email world-tour-support-la@databricks.com. |
| Will you be providing meals with dietary restrictions in mind? | We will provide meals that are vegetarian and vegan. If you have other dietary restrictions, please email world-tour-support-la@databricks.com and we will do our best to accommodate. |
| How do I register for training? |
Please be aware that we do not accept advance registrations for our training sessions. Spots are allocated on a first-come, first-served basis, and we can only accommodate a limited number of participants onsite. To ensure you secure a spot, we recommend arriving early. |
| How do I secure accommodations at this hotel for the event? | At this time, our hotel block is full. If you would like to book a room, we recommend booking directly with the hotel. If you have any issues booking your room, please reach out directly to Hilton LAX. |
