Top 3 reasons to attend
- Discover the latest advances in GenAI, machine learning, analytics and data governance.
- 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 - 9:30 AM 11:00 AM - 6:00 PM |
| Keynote | 9:30 AM - 11:00 AM |
| Breakout Sessions | 11:30 PM - 5:00 PM |
| Lunch | 12:00 PM - 2:00 PM |
| Reception | 5:00 PM - 6:00 PM |
Speakers
Speakers
Chief Data Officer
Mastercard
Lead Solutions Architect
Databricks
President
Celebal Technologies
Sr.Solutions Architect
Amazon Web Services
VP of GenAI GTM
Databricks
Global Vice President Business Transformation
Dataiku
CFO
Monte Carlo
Data and Analytics Manager
Amgen
Staff Product Manager
Databricks
Associate Product Manager
Databricks
Director of Product Marketing
Databricks
Product Manager
Databricks
Sr. Product Manager
Databricks
AVP Financial Services
Databricks
Sales Director
Anomalo
Principal Product Marketing Manager
Databricks
Cybersecurity Specialist Solution Architect
Databricks
Director Enterprise Data Governance
ADP
SVP, Data Science
Integral Ad Science
Sr. Data Scientist
Databricks
Sr. RSA
Databricks
Enterprise Account Executive
Twilio Segment
VP of Product Marketing
Prophecy
VP, Engineering
Databricks
Delivery Solutions Architect • CSM
Databricks
Global Head, Media & Entertainment Go To Market
Databricks
Principal - Data & AI
Microsoft
Director Data Quality & Integrity
Warner Brothers Discovery
Head of GTM Systems
Mural
Chief Analytics Officer
Kythera Labs
Field CTO - Data
QLIK
Sr Solutions Architect
Amazon Web Services
Featured sessions
Featured sessions
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.
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 session we'll explore some best practices in doing so.
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.
Data & AI Powering Media, Gaming and Advertising
In this session, hear from Databricks and our Advertising and Marketing Technology customers on how they are enabling the next-generation of data and AI solutions in media with the power of the Data Intelligence Platform.
Databricks SQL: Addressing Data Warehousing’s Biggest Challenges with Data Intelligence
This session provides an overview of end-to-end data warehousing with Databricks SQL, from ingestion and ETL to queries and dashboards. Databricks SQL has also tapped the power of AI to address the data warehouse’s biggest historical challenges — performance, governance and usability — thanks to a deeper understanding of your specific data and how it’s used. We will share the latest of these AI-powered capabilities such as using natural language to ask questions or create visualizations, and the AI-optimized performance with serverless, elastic infrastructure for better TCO.
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.
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 solutions for all your data and AI. Don’t miss out on this exciting opportunity to level up your data game with Unity Catalog!
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.
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 with Databricks
Hands-on labs: Yes
Learn how to navigate the Databricks Data Engineering & Data Science Workspace user interface, develop and run code using Databricks Notebooks, version notebooks with Databricks Repos, and use Delta Lake to perform data management tasks.
Learning objectives
By the end of this course, you will:
- Describe fundamental concepts about Databricks
- Explain fundamental concepts about the Data Engineering & Data Science Workspace
- Explain fundamental concepts about Delta Lake
- Navigate the Workspace user interface
Use the Workspace to:
- Create and manage clusters using the Databricks Clusters UI
- Develop and run code in multi-cell Databricks notebooks using basic operations
- Integrate git support using Databricks Repos
- Perform data management tasks using Delta Lake
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)
When registering for Databricks World Tour, please select you are interested in attending training. You must reserve your seat in order to attend training. Reservations for training will open closer to the event.
Get Started with Generative AI with Databricks
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 approaching governance for AI applications
Prerequisites
- Intermediate-level experience with Python
- Working knowledge of machine learning and deep learning is helpful
When registering for Databricks World Tour, please select you are interested in attending training. You must reserve your seat in order to attend training. Reservations for training will open closer to the event.
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.
How Generative AI is Unlocking Financial Services Innovation
Join us at the Data + AI World Tour in New York for an exclusive breakout session tailored to financial services institutions. This session will dive into how Generative AI is reshaping the financial sector, driving innovation, and creating new opportunities. We’ll showcase real-world use cases that illustrate the transformative power of GenAI in customer engagement, fraud detection, and personalized financial solutions; and demonstrate how easy it is to build a GenAI solution with the Databricks Data Intelligence Platform. We'll also unpack the critical role of GenAI in enhancing cybersecurity, offering cutting-edge strategies to safeguard financial and customer data.
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.
LakeFlow Connect: Introducing Databricks’ New 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.
Join the us to learn more about LakeFlow Connect - a new 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 Databricks Workflows. 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 new, what’s on the roadmap, how to take full advantage of these new ingestion capabilities.
Sponsored by: Anomalo | How ADP Automates Enterprise Data Quality at Scale
Hear from Kristin Hlavinka, Director of Enterprise Data Governance at ADP about their Databricks data architecture, the business initiatives they're driving, and how automated data quality with Anomalo makes it possible. We'll conclude with learnings, best practices, and tips for other enterprise data leaders looking to drive data modernization initiatives at their organizations.
Sponsored by: AWS | Architecture Explained: Generative AI Based Complex Data Processing
With the emergence of generative AI, enterprises are building innovative applications for improved customer experience. Databricks has end-to-end offerings from ingestion to building large language models (LLM) applications. Amazon Web Services (AWS) provides highly resilient infrastructure and intelligent document processing (IDP) capabilities using Amazon Textract, Amazon Transcribe, Amazon Comprehend and many other services, and generative AI capabilities using Amazon Bedrock with industry leading 3P and 1P models as well as Open-source models such as Llama-3, Mixtral-7B models.
Key takeaways include:
- Interoperability between Databricks and AWS for generative AI applications
- AWS AI services for Intelligent Document Processing
- Databricks Auto Loader, Vector Store, Deployment AI Gateway, and configure to use Amazon Bedrock
- Multiple patterns for real-time and batch processing
Sponsored by: Celebal | Consolidating Legacy Data Science Platforms and AI-Powered Business Apps with Databricks
Many large enterprises are burdened by siloed Data Science platforms, which are often proprietary or closed-source, each operating in isolated Data and ML Ops environments. Examples include H2O.ai, SAS, DataIku, IBM SPSS, and DataRobot. Additionally, businesses manage AI and business platforms across domains like Finance, Supply Chain, HR, and Customer 360, driving up license and maintenance costs and hindering innovation. These disparate platforms also introduce high costs for integrations, compute, and data sync. In this session, you’ll discover how Celebal Technologies' accelerators simplify Model Ops migration through automated logic conversion and curated AI design patterns. We enable real-time inferencing with Databricks Model Serving APIs for instant insights, supported by the Databricks MLOps Stack for seamless, scalable management of the ML lifecycle. With Databricks Unity Catalog, we ensure secure, unified analytics, helping enterprises achieve efficiency and scalability
Sponsored by: Dataiku | AI Evolution Unveiled: Trends & Insights from Data Leaders Survey 2024
Join Dataiku as we unveil the latest revelations in the ever-evolving landscape of AI. Building on our 2023 survey success, we have delved deeper into the minds of 400 senior AI professionals to uncover year-over-year trends, emerging challenges, and evolving priorities shaping the industry. From the rapid rise of Generative AI to the intricacies of ROI calculation, this comprehensive survey report presentation is your essential guide to navigating the complexities of AI today. Don't miss your chance to find out how you stack up, what AI pioneers are doing differently than the rest, and — if you’re not executing on AI at scale — how to catch up.
Sponsored by: Immuta | Multi-Layered Enterprise Controls for RAG-Based AI Applications
With AI increasingly challenging data security norms, this session will delve into Immuta’s innovative data-platform-first solutions designed to safeguard both structured and unstructured data for AI.
We will discuss the critical need for a multi-layered approach to data security, focusing on three key lines of defense:
- Storage Tier: Protecting unstructured data as input to AI models, particularly in Amazon S3, with Immuta’s ABAC controls.
- Serving Tier: Controlling and managing responses for Retrieval-Augmented Generation (RAG)-based applications.
- Distribution Tier: Enhancing prompt security to guard against inappropriate or sensitive outputs from GenAI applications.
This session is essential for data professionals seeking to bolster their data security frameworks and ensure comprehensive protection in the face of advancing AI technologies.
Sponsored by: Kythera Labs | Boosting Rapid Innovation in Biotech with Novel Data Technology
In the life sciences and healthcare sectors, innovators face significant challenges in making data fit-for-purpose and are often under intense pressure to do more with less. This session will demonstrate how Kythera Labs, through our partnership with Databricks, has driven immediate, transformative efficiencies for our customers, including a biotech company based in New York City. By streamlining data infrastructure and leveraging modular, AI-driven technologies, we empower our customers to unlock new capabilities and derive greater value from their data. Discover how continuous innovation in data management not only solves complex data challenges but also enhances the overall quality of insights and operational effectiveness. Join us to explore how advancing data technology is driving rapid progress and helping innovative organizations stay ahead in a fast-changing landscape.
Sponsored by: Microsoft | Better Together: Azure Databricks and Microsoft Fabric
Join this session to learn -
- How lakehouse architecture combines the precision of traditional data warehouses with the scale and flexibility of data lakes and is the go-to solution for scalable enterprise analytics.
- How Fabric and Azure Databricks offer a cohesive, unified analytics platform, enabling collaboration among various data roles—from engineers to decision-makers—and facilitating streamlined data processing, AI model building, and insights discovery.
- How the strong integration between Fabric and Azure Databricks enhances data analytics and AI, delivering efficient data pipelines, unified data storage, AI and machine learning integration, flexible data storage solutions, and advanced data visualization capabilities.
Sponsored by: Monte Carlo | Warner Brothers Discovery's Transformative Data Quality Journey
Leading global media and entertainment company Warner Brothers Discovery is no stranger to managing data – and industry – changes at scale. Representing over 30 unique brands and featuring content in more than 220 countries, the data team at Warner Brothers Discovery plays a critical role in supporting the success of every domain across the enterprise. For the past 20 years, through every data evolution, Pam Zirpoli, Director of Data Quality and Integrity, has tackled new challenges headfirst. Now with the rise of GenAI and the next phase of their data journey approaching, she’s putting data quality at the heart of their strategy.
Join this session to learn about evolution of data needs and structure at Warner Brothers Discovery, the impact of partnering with Databricks and Monte Carlo to meet the needs of their modern data challenges, and best practices and tips for how to implement a data quality program at any scale.
Sponsored by: Prophecy | How Amgen Modernized Finance Insights by Moving from Legacy Data Preparation to Prophecy and Databricks
Amgen is one of the world's leading biotechnology companies focused on transforming biotechnology into therapies that reach millions of patients worldwide. To provide better data-driven insights and streamline operations, Amgen’s Financial Insights Technology team needed to move off a mix of legacy systems.
The team migrated 200+ legacy workflows to Prophecy and Databricks. These mission-critical workflows power 500 dashboards that +1,500 users rely on. After the transition, the FIT team is able to automate Spark code generation and transfer the domain and expert knowledge embedded in the legacy systems to Databricks, improving processing efficiency and promoting better collaboration.
With the successful transition, Amgen:
- Reduced costs
- Retired legacy data preparation systems
- Improved data processing to double KPI update speed
The FIT team improved efficiency and now better serves the business with faster access to financial data, Amgen’s ability to serve every patient every time.
Sponsored by: QLIK | 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, while tapping into advanced functionalities. Learn how Qlik integrates with Databricks MosaicAI, & automates real-time complete end-to-end data pipelines that are low or no-code. Spend less time integrating and transforming data and more time performing rich AI driven analysis, LMM fine tuning, and feeding ML (Machine Learning) & generative AI models like Databricks DBRX. Join this session & see a demo highlighting 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.
Sponsored by: Twilio | Fueling Mural's Product Lead Growth with Twilio Segment and Databricks
In today's competitive landscape, product-led growth requires efficient data processing and agile decision-making. This session explores how Mural leverages Twilio Segment's Customer Data Platform (CDP) in conjunction with Databricks to drive impactful customer engagement. We will discuss the construction of real-time data pipelines that seamlessly stream first-party customer data into and out of Databricks, enabling actionable insights and ultimately fueling an organization's growth strategy.
Sponsors
Sponsors
Amazon Web Services (AWS)
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 108 Availability Zones within 34 geographic regions, with announced plans for 18 more Availability Zones and six more AWS Regions in Mexico, New Zealand, the Kingdom of Saudi Arabia, Taiwan, Thailand, and the AWS European Sovereign Cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.
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.
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.
Dataiku
Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to Generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 600 companies worldwide use Dataiku, including leaders across industries including life sciences, logistics, retail, manufacturing, energy, financial services, software, and technology. With a strong focus on the Forbes Global 2000, Dataiku also supports non-profits and academic institutions through its AI-for-Good initiatives.
Immuta
Since 2015, Immuta has given Fortune 500 companies and government agencies around the world the power to put their data to work – faster and more safely than ever before. Our platform delivers data security, governance, and continuous monitoring across complex data ecosystems – de-risking sensitive data at enterprise scale. From BI and analytics, to data marketplaces, AI, and whatever comes next, Immuta accelerates safe data discovery, collaboration, and innovation. For more information, visit immuta.com.
Kythera Labs, Inc.
Kythera Labs is a data technology company that unifies data science expertise with a deep understanding of advanced data technology to create advancements that enhance the usefulness, value, and accessibility of data. We help innovators who work with healthcare data tackle their biggest challenges with increasing efficiency and greater confidence.
Microsoft
Microsoft's mission is to empower every person and every organization on the planet to achieve more. With its Intelligent Data Platform, Microsoft recommends organizations combine advanced AI, analytics, database and security services to form a powerful solution capable of data-driven innovation and transformation in the era of AI.
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
About Qlik® Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages advanced, enterprise-grade AI/ML and pervasive data quality. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive and real-time analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.
Twilio Segment
Today's leading companies trust Twilio's Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales to marketing to growth, customer service, and many more engagement use cases in a flexible, programmatic way. Across 180 countries, millions of developers and hundreds of thousands of businesses use Twilio to create magical experiences for their customers. For more information about Twilio (NYSE: TWLO), visit: www.twilio.com.
Event details and FAQ
| 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@databricks.com. |
| How do I register for training? | When registering, please select you are interested in attending training. Registration for training will open closer to the event. You must reserve your seat in order to attend training. |
| 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@databricks.com and we will do our best to accommodate. |
| Where is the event located? | The event is held at the Jacob Javits Convention Center (Javits Center) at 429 11th Ave, New York, NY 10001. |
