At Italgas, Europe’s leading gas distributor both by network size and number of customers, we are spearheading digital transformation through a state-of-the-art, fully-fledged Databricks Intelligent platform. Achieved 50% cost reduction and 20% performance boost migrating from Azure Synapse to Databricks SQL Deployed 41 ML/GenAI models in production, with 100% of workloads governed by Unity Catalog Empowered 80% of employees with self-service BI through Genie Dashboards Enabled natural language queries for control-room operators analyzing network status The future of gas distribution is data-driven: predictive maintenance, automated operations, and real-time decision making are now realities. Our AI Factory isn't just digitizing infrastructure—it's creating a more responsive, efficient, and sustainable gas network that anticipates needs before they arise.

Industrial organizations are unlocking new possibilities through the partnership between AVEVA and Databricks. The seamless, no-code, zero-copy solution—powered by Delta Sharing and CONNECT—enables companies to combine IT and OT data effortlessly. By bridging the gap between operational and enterprise data, businesses can harness the power of AI, data science, and business intelligence at an unprecedented scale to drive innovation. In this session, explore real-world applications of this integration, including how industry leaders are using CONNECT and Databricks to boost efficiency, reduce costs, and advance sustainability—all without fragmented point solutions. You’ll also see a live demo of the integration, showcasing how secure, scalable access to trusted industrial data is enabling new levels of industrial intelligence across sectors like mining, manufacturing, power, and oil and gas.

“I don’t want to spend time filtering through another dashboard — I just need an answer now.” We’ve all experienced the frustration of wading through dashboards, yearning for immediate answers. Traditional reports and visualizations, though essential, often complicate the process for decision-makers. The digital enterprise demands a shift towards conversational, natural language interactions with data. At KPMG, AI|BI Genie is reimagining our approach by allowing users to inquire about data just as they would consult a knowledgeable colleague, obtaining precise and actionable insights instantly. Discover how the KPMG Contract to Cash team leverages AI|BI Genie to enhance data engagement, drive insights and foster business growth. Join us to see AI|BI Genie in action and learn how you can transform your data interaction paradigm.

Databricks announced two new features in 2024: AI/BI Dashboards and AI/BI Genie. Dashboards is a redesigned dashboarding experience for your regular reporting needs, while Genie provides a natural language experience for your last-mile analytics. In this session, Databricks Solutions Architect and content creator Youssef Mrini will present alongside Databricks MVP and content creator Josue A. Bogran on how you can get the most value from these tools for your organization. Content covered includes: Setup necessary, including Unity Catalog, permissions and compute Building out a dashboard with AI/BI Dashboards Creating and training an AI/BI Genie workspace to reliably deliver answers When to use Dashboards, Genie, and when to use other tools such as PBI, Tableau, Sigma, ChatGPT, etc. Fluff-free, full of practical tips, and geared to help you deliver immediate impact with these new Databricks capabilities.

Media enterprises generate vast amounts of visual content, but unlocking its full potential requires multimodal AI at scale. Coactive AI and NBCUniversal’s Corporate Decision Sciences team are transforming how enterprises discover and understand visual content. We explore how Coactive AI and Databricks — from Delta Share to Genie — can revolutionize media content search, tagging and enrichment, enabling new levels of collaboration. Attendees will see how this AI-powered approach fuels AI workflows, enhances BI insights and drives new applications — from automating cut sheet generation to improving content compliance and recommendations. By structuring and sharing enriched media metadata, Coactive AI and NBCU are unlocking deeper intelligence and laying the groundwork for agentic AI systems that retrieve, interpret and act on visual content. This session will showcase real-world examples of these AI agents and how they can reshape future content discovery and media workflows.

Join us for this insightful session to learn how you can leverage the power of the Microsoft ecosystem along with Azure Databricks to take your business to the next level. Azure Databricks is a fully integrated, native, first-party solution on Microsoft Azure. Databricks and Microsoft continue to actively collaborate on product development, ensuring tight integration, optimized performance, and a streamlined support experience. Azure Databricks offers seamless integrations with Power BI, Azure Open AI, Microsoft Purview, Azure Data Lake Storage (ADLS) and Foundry. In this session, you’ll learn how you can leverage deep integration between Azure Databricks and the Microsoft solutions to empower your organization to do more with your data estate. You’ll also get an exclusive sneak peek into the product roadmap.

Faced with the limitations of a legacy, on-prem data stack and scalability bottlenecks in MicroStrategy, Saddle Creek Logistics Services needed a modern solution to handle massive data volumes and accelerate insight delivery. By migrating to a cloud-native architecture powered by Sigma and Databricks, the team achieved significant performance gains and operational efficiency. In this session, Saddle Creek will walk through how they leveraged Databricks’ cloud-native processing engine alongside a unified governance layer through Unity Catalog to streamline and secure downstream analytics in Sigma. Learn how embedded dashboards and near real-time reporting—cutting latency from 9 minutes to just 3 seconds—have empowered data-driven collaboration with external partners and driven a major effort to consolidate over 30,000 reports and objects to under 1,000.

Conagra is a global food manufacturer with $12.2B in revenue, 18K+ employees, 45+ plants in US, Canada and Mexico. Conagra's Supply Chain organization is heavily focused on delivering results in productivity, waste reduction, inventory rationalization, safety and customer service levels. By migrating the Supply Chain reporting suite to Databricks over the past 2 years, Conagra's Supply Chain Analytics & Data Science team has been able to deliver new AI solutions which complement traditional BI platforms and lay the foundation for additional AI/ML applications in the future. With Databricks Genie integrated within traditional BI reports, Conagra Supply Chain users can now go from insight to action faster and with fewer clicks, enabling speed to value in a complex Supply Chain. The Databricks platform also allows the team to curate data products to be consumed by traditional BI applications today as well as the ability to rapidly scale for the AI/ML applications of tomorrow.

Unlock the full potential of your BI tools with Databricks. This session explores how features like Photon, Databricks SQL, Liquid Clustering, AI/BI Genie and Publish to Power BI enhance performance, scalability and user experience. Learn how Databricks accelerates query performance, optimizes data layouts and integrates seamlessly with BI tools. Gain actionable insights and best practices to improve analytics efficiency, reduce latency and drive better decision-making. Whether migrating from a data warehouse or optimizing an existing setup, this talk provides the strategies to elevate your BI capabilities.

In today's rapidly evolving digital landscape, organizations must prioritize robust data architectures and AI strategies to remain competitive. In this session, we will explore how Procter & Gamble (P&G) has embarked on a transformative journey to digitize its operations via scalable data, analytics and AI platforms, establishing a strong foundation for data-driven decision-making and the emergence of agentic AI.Join us as we delve into the comprehensive architecture and platform initiatives undertaken at P&G to create scalable and agile data platforms unleashing BI/AI value. We will discuss our approach to implementing data governance and semantics, ensuring data integrity and accessibility across the organization. By leveraging advanced analytics and Business Intelligence (BI) tools, we will illustrate how P&G harnesses data to generate actionable insights at scale, all while maintaining security and speed.

The next era of data transformation has arrived. AI is enhancing developer workflows, enabling downstream teams to collaborate effectively through governed self-service. Additionally, SQL comprehension is producing detailed metadata that boosts developer efficiency while ensuring data quality and cost optimization. Experience this firsthand with dbt’s data control plane, a centralized platform that provides organizations with repeatable, scalable, and governed methods to succeed with Databricks in the modern age.

This session is repeated. Did you know that you can integrate with your favorite BI tools directly from Databricks SQL? You don’t even need to stand up an additional warehouse. This session shows the integrations with Microsoft Power Platform, Power BI, Tableau and dbt so you can have a seamless integration experience. Directly connect your Databricks workspace with Fabric and Power BI workspaces or Tableau to publish and sync data models, with defined primary and foreign keys, between the two platforms.

In this session, we will explore effective strategies for optimizing costs on the Databricks platform, a leading solution for handling large-scale data workloads. Databricks, known for its open and unified approach, offers several tools and methodologies to ensure users can maximize their return on investment (ROI) while managing expenses efficiently. Key points: Understanding usage with AI/BI tools Organizing costs with tagging Setting up budgets Leveraging System Tables By the end of this session, you will have a comprehensive understanding of how to leverage Databricks' built-in tools for cost optimization, ensuring that their data and AI projects not only deliver value but do so in a cost-effective manner. This session is ideal for data engineers, financial analysts, and decision-makers looking to enhance their organization’s efficiency and financial performance through strategic cost management on Databricks.

Explore how to build use case-specific data products designed to power everything from traditional BI dashboards to machine learning and LLM-enabled applications. Gain an understanding of what data products are and why they are essential for delivering AI-ready data that is integrated, timely, high-quality, secure, contextual, and easily consumable. Discover strategies for unlocking business data from source systems to enable analytics and AI use cases, with a deep dive into the three-tiered data product architecture: the Data Product Engineering Plane (where data engineers ingest, integrate, and transform data), the Data Product Management Plane (where teams manage the full lifecycle of data products), and the Data Product Marketplace Plane (where consumers search for and use data products). Discover how a flexible, composable data architecture can support organizations at any stage of their data journey and drive impactful business outcomes.

GovTech is an agency in the Singapore Government focused on tech for good. The GovTech Chief Data Office (CDO) has built the GovTech Data Platform with Databricks at the core. As the government tech agency, we safeguard national-level government and citizen data. A comprehensive data strategy is essential to uplifting data maturity. GovTech has adopted the service model approach where data services are offered to stakeholders based on their data maturity. Their maturity is uplifted through partnership, readying them for more advanced data analytics. CDO offers a plethora of data assets in a “data restaurant” ranging from raw data to data products, all delivered via Databricks and enabled through fine-grained access control, underpinned by data management best practices such as data quality, security and governance. Within our first year on Databricks, CDO was able to save 8,000 man-hours, democratize data across 50% of the agency and achieve six-figure savings through BI consolidation.

In this course, you’ll learn how to use the features Databricks provides for business intelligence needs: AI/BI Dashboards and AI/BI Genie. As a Databricks Data Analyst, you will be tasked with creating AI/BI Dashboards and AI/BI Genie Spaces within the platform, managing the access to these assets by stakeholders and necessary parties, and maintaining these assets as they are edited, refreshed, or decommissioned over the course of their lifespan. This course intends to instruct participants on how to design dashboards for business insights, share those with collaborators and stakeholders, and maintain those assets within the platform. Participants will also learn how to utilize AI/BI Genie Spaces to support self-service analytics through the creation and maintenance of these environments powered by the Databricks Data Intelligence Engine. Pre-requisites: The content was developed for participants with these skills/knowledge/abilities: A basic understanding of SQL for querying existing data tables in Databricks. Prior experience or basic familiarity with the Databricks Workspace UI. A basic understanding of the purpose and use of statistical analysis results. Familiarity with the concepts around dashboards used for business intelligence. Labs: Yes

This course is designed for data professionals who want to explore the data warehousing capabilities of Databricks. Assuming no prior knowledge of Databricks, it provides an introduction to leveraging Databricks as a modern cloud-based data warehousing solution. Learners will explore how use the Databricks Data Intelligence Platform to ingest, transform, govern, and analyze data efficiently. Learners will also explore Genie, an innovative Databricks feature that simplifies data exploration through natural language queries. By the end of this course, participants will be equipped with the foundational skills to implement and optimize a data warehouse using Databricks. Pre-requisites: Basic understanding of SQL and data querying concepts General knowledge of data warehousing concepts, including tables, schemas, and ETL/ELT processes is recommended Some experience with BI and/or data visualization tools is helpful but not required Labs: Yes

In this course, you will learn how to self-serve business insights from your company’s Databricks Data Intelligence Platform using AI/BI. After a tour of the fundamental components of the platform, you’ll learn how to interact with pre-created AI/BI Dashboards to explore your company’s data through existing charts and visualizations. You’ll also learn how to use AI/BI Genie to go beyond dashboards by asking follow-up questions in natural language to self-serve new insights, create visualizations, and share them with your colleagues. Pre-requisites: A working understanding of your organization’s business and key performance indicators. Labs: No Certification Path: N/A