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 - 9:00 AM |
| Expo | 8:00 AM - 9:00 AM 10:30 AM - 6:00 PM |
| Keynote | 9:00 AM - 10:30 AM |
| Breakout Sessions | 11:00 AM - 4:30 PM |
| Lunch | 12:00 PM - 1:30 PM |
| Reception | 4:30 PM - 6:00 PM |
Speakers
Vice President, Data & AI
NCR Voyix
Data Reporting Analyst
Turnpoint Services
Sr. Director of Advanced Analytics
ReaderLink
Senior Solutions Architect
Qlik
VP, Field Engineering
Databricks
Lead Technical Product Marketing Manager
Fivetran
Principal Data Engineer
Pilot Company
Sr. Solutions Architect
Databricks
Solution Architect
Databricks
Senior Manager Analytics & Data Science
Turnpoint Services
Sr. Product Specialist
Databricks
Specialist Solutions Architect
Databricks
Kythera Labs
Solutions Architect
Databricks
Lead Solutions Architect
Databricks
Director, Data Governance
Kestra Holdings
Customer Marketing Manager
Monte Carlo
VP Solution Engineering, Americas
Datanimbus
Databricks Certified Instructor
Databricks
Featured sessions
Featured sessions
AI/BI Genie - Intro & 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 an AI Platform in 30 Days: Turnpoint's Databricks Journey
Join us as we dive into how Turnpoint Services, collaborating with DataNimbus, rapidly adopted AI by building an Intelligence Platform on Databricks in 30 days. The session will explore Databricks features like MLflow, LLMs, MLOps, Model Registry, Monitoring, Unity Catalog, & Dashboard Alerts that powered impactful AI applications such as Demand Forecasting, Customer 360, & Google Reviews. Turnpoint’s AI transformation journey resulted in data-driven decision-making, operational efficiency and an awesome, elevated customer experience. We’ll demonstrate how we constructed a modern data infrastructure on Databricks, enabling demand forecasting, optimizing resource allocation, and elevating customer engagement. Attendees will leave with practical insights on rapid AI implementation on Databricks to unlock transformative outcomes. Whether you're beginning your AI journey or looking to accelerate it, this session has valuable lessons for leveraging Data and AI for competitive advantage
Building High-Quality and Trusted Data Products with Databricks
Organizations aiming to become AI and data-driven need to provide their internal teams with high-quality and trusted data products. Building such data products ensures that organizations establish standards and a trustworthy foundation of business truth for their data and AI objectives. In this session, we will outline our recommendations for building production-ready data products, both generally and specifically with Databricks. We will describe different requirements and challenges in the data product lifecycle, as well as lessons learned from our field engineering teams. We will also provide guidance on how to leverage the Databricks Data Intelligence Platform to maximize data product value and usability.
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.
Discover Unity Catalog: Your Guide to Governance for Data and AI with Live Demos and new features!
Gain an in-depth look at the latest in data and AI governance. Unity Catalog is the only solution that offers unified, open governance for both data and AI, native to the Databricks Data Intelligence Platform. In this session, we will cover the open source future of Unity Catalog and 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!
Exploring LLMOps on Databricks for Building Composable Compound AI Systems
This session offers a detailed look at the architectures involved in Large Language Model Operations (LLMOps). It’s designed for those interested in the technical specifics and practical applications of LLMOps, including the key components and workflows that define these fields.
Attendees will learn about:
- The core architectures used in LLMOps and similarities to MLOps
- What it takes to build RAG bots and Agents on Databricks
- The various elements involved in these operations, such as data management, model training, deployment, AI gateway and monitoring.
- Strategies for implementing effective LLMOps in your projects, with a focus on improving efficiency and model performance.
Getting Started with Databricks SQL: Live Demos and New Feature
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 Kestra Holdings Invests in Data Trust with Data Observability
Kestra Holdings, a leader in full suite wealth management solutions, knows the importance of clean, reliable data for its rapidly growing network of financial professionals and advisors to deliver top-notch service. With over $117 billion in assets under advisement, $66 billion in assets under management, and 1700 financial professionals, achieving and maintaining the highest levels of data quality is a critical component to their success.
Join Sunaina Raju, Director of Data Governance at Kestra Financial, to learn her approach to creating a data quality program that can keep pace with the company’s growth. Discover how Kestra leverages Databricks Unity Catalog and data observability with Monte Carlo into a strategic advantage, minimizing data mishaps, empowering its advisors and the clients they service—all while keeping data trust at the forefront of their growth.
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
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.
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.
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 Data Intelligence Platform. Plus, hear examples of successful real-time data integration into Databricks from customers like Vale, Textron, Mercedes Benz, Trek Bikes, and JB Hunt.
Data frenzy to data freedom: How centralized data fuels analytics & AI
In today’s data-rich environment, companies face the challenge of centralizing large volumes of diverse data to drive insights and operational efficiency. Without a comprehensive data centralization strategy, organizations risk missing out on significant opportunities for revenue growth and competitive advantages with data trapped in silos. By freeing data from silos and establishing a single source of truth, companies can accelerate their innovation to stay competitive. Join us as we explore how data freedom powers analytics, operations and AI/ML with all your data.
In our talk, you will discover:
- The key obstacles hindering organizations from achieving a mature data strategy
- Learn how Fivetran and Databricks work together to achieve automated data integration for analytics and AI on the Databricks Data Intelligence Platform
- Hear about real-world examples where embracing Fivetran’s data centralization capabilities into Databricks led to deeper innovation
Get Started with Data Engineering with Databricks
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.
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 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.
Get Started with Generative AI
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.
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
Sponsors
Sponsors
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.
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.
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.
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
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.
Coalesce
Coalesce revolutionizes data transformations to accelerate the delivery of data projects. Recognizing data transformation’s critical role in the analytics lifecycle, we’ve created an inclusive developer platform that automates most SQL coding without sacrificing flexibility. Our platform boosts data team efficiency tenfold, allowing faster data pipeline development while empowering organizations to concentrate on extracting maximum value from their data. Discover more at Coalesce.io.
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.
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.
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.
Data.World
data.world is the data catalog platform built for your AI future. Its cloud-native SaaS platform combines a consumer-grade user experience with a powerful knowledge graph to deliver enhanced data discovery, agile data governance, and actionable insights. Get fast, trusted access to your company’s knowledge when you create AI-powered data experiences with the AI Context Engine™. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500. Our company has 76 patents and has been named one of Austin’s Best Places to Work eight years in a row.
Domo, Inc.
Domo transforms the way you experience data by making it accessible and actionable for everyone. Our platform offers a range of solutions—from user-friendly dashboards to custom-coded apps—all powered by AI and data science. Domo uniquely bridges the gap between IT’s security and governance needs and the business’s demand for swift, clear insights and decisive action. With Domo, companies don’t just manage data; they ignite a culture of curiosity and drive impactful growth at scale.
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.™
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.
Kyvos
Kyvos is a semantic performance layer that supercharges analytics and AI initiatives. It establishes an enterprise-wide universal semantic layer, standardizes data interpretation and enables conversational interactions with data. Kyvos delivers hyper speed analytics at any scale, along with significant savings on analytics cost. The infrastructure-agnostic semantic layer is a critical building block of any modern data or AI stack, whether on-premises or on cloud. Leading enterprises use Kyvos to simplify and accelerate analytics, strengthen data governance and enable data federation to establish a single source of truth
Pantomath
Pantomath is a data pipeline observability and traceability platform for automating data operations and improving data reliability through automated real-time monitoring and cross-platform pipeline lineage. Automated root-cause analysis helps resolve issues, minimizing data downtime, while automated impact analysis helps prevent poor decision-making with bad data, eliminating any possible business impact. Implementing Pantomath is simple; through a wide range of connectors for the most popular data tools that integrate seamlessly into complex data stacks providing autonomous pipeline lineage in minutes. Eliminate data reliability issues and automate data operations today: https://pantomath.com/
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.
Redwood
Redwood Software is the leader in full stack automation fabric solutions for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower you to orchestrate, manage and monitor your workflows across any application, service or server — in the cloud or on premises — with confidence and control. Redwood’s global team of automation experts and customer success engineers provide solutions and world-class support designed to give you the freedom and time to imagine and define your future. Get out of the weeds and see the forest, with Redwood Software. For more information, visit www.redwood.com.
Satori Cyber Inc.
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.
Event details and FAQ
| What are the parking details for the event? | Coming soon |
| Will there be a place to store my belongings? | Coming soon |
| How much does it cost to attend the Data + AI World Tour? | This is a free event. Please register in advance to secure your spot as space is limited. |
| How do I sign up for training? | When registering, please select you are interested in attending training so we can have an idea of how many people to expect. Note that selecting this option does not guarantee you a spot, training spots are on a first come, first serve basis. Please plan to arrive on time. |
| Will you be providing meals with dietary restrictions in mind? | We will provide vegan and vegetarian meals. If you have other dietary restrictions, please email world-tour-support@databricks.com and we will do our best to accomodate. |
