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Event Info

Summit On Demand

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AI/BI, Databricks SQL, Unity Catalog

In Person

Breakout

Retail and CPG - Food

Intermediate

South, Esplanade, Room 155

Alexandro Arreola-Garcia

Senior Manager, Assortment & Space

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Alexandro Arreola-Garcia is a Senior Manager of Merchandising Transformation at Walmart, where he leads assortment and space analytics initiatives. With expertise in big data technologies and cloud platforms, he leverages Apache Spark, Python, and interactive R Shiny applications to drive data-informed merchandising decisions and deliver insights through custom web dashboards. His background combines retail analytics, data engineering, and full-stack development, having progressed from roles in global sourcing and business analysis to leading large-scale data transformation projects. Alexandro holds an MS in Business Analytics from SMU Cox School of Business and brings extensive experience with enterprise data tools including Google BigQuery, Apache Spark, and machine learning applications.

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https://microsites.databricks.com/data-ai-summit-2025/speaker/alexandro-arreola-garcia

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Nikit Shah

Sr. Delivery Solutions Architect

Nikit is a Sr. Delivery Solutions Architect at Databricks with over 14 years of client-facing experience in designing and delivering enterprise level solutions. Driven to solve client problems using transformative technologies such as AI / natural language processing, cutting-edge cloud-based services to create innovative and efficient solutions for multiple industry verticals, having currently worked across Retail, Financial Services, Telecommunications, and Automotive industries.

https://microsites.databricks.com/data-ai-summit-2025/speaker/nikit-shah

Data Warehousing

Self-Service Assortment and Space Analytics at Walmart Scale | Databricks

Assortment and space analytics optimizes product selection and shelf allocation to boost sales, improve inventory management and enhance customer experience. However, challenges like evolving demand, data accuracy and operational alignment hinder success. Older approaches struggled due to siloed tools, slow performance and poor governance. Databricks unified platform resolved these issues, enabling seamless data integration, high-performance analytics and governed sharing. The innovative AI/BI Genie interface empowered self-service analytics, driving non-technical user adoption. This solution helped Walmart cut time to value by 90% and saved $5.6M annually in FTE hours leading to increased productivity. Looking ahead, AI agents will let store managers and merchants execute decisions via conversational interfaces, streamlining operations and enhancing accessibility. This transformation positions retailers to thrive in a competitive, customer-centric market.

https://microsites.databricks.com/data-ai-summit-2025/session/self-service-assortment-and-space-analytics-walmart-scale

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Self-Service Assortment and Space Analytics at Walmart Scale

MLFlow

Energy and Utilities

Advanced

South, Level 2, Room 206

Mohammed Farag

Senior Manager, Machine Learning & AI

Mohammed Farag is Senior Manager of AI & Machine Learning at Rivian, where he leads the integration of real-time machine learning into vehicle control systems, enabling intelligent performance, predictive diagnostics, and optimized EV charging. His work focuses on scaling AI/ML platforms for embedded systems, from deep learning to MLOps. He holds a Ph.D. in Engineering from McMaster Univ. and a Master’s in Management from Harvard. Prior to Rivian, Mohammed led autonomous driving architecture at BMW and was founder of a digital twin company for battery management systems. He holds multiple patents and received the IEEE Best Paper Award. His work bridges AI, energy systems, and control engineering to drive innovation in electric mobility.

https://microsites.databricks.com/data-ai-summit-2025/speaker/mohammed-farag

Sihang Chen

Sr. Machine Learning/AI Engineer

Sihang Chen is a Sr. Machine Learning/AI Engineer at Rivian, driven by a passion for clean energy and data-powered innovation. With a background in data science and sustainable energy systems, he bridges Machine Learning and vehicle intelligence to build scalable solutions for electric mobility. His work focuses on enhancing EV performance, energy efficiency, and charging experience through massive telemetry data and real-time deployed ML systems. Passionate about sustainable mobility and real-world impact, he will present Rivian's ML-powered charge time prediction framework at the 2025 Databricks AI Summit.

https://microsites.databricks.com/data-ai-summit-2025/speaker/sihang-chen

Artificial Intelligence

Optimizing EV Charging Experience: Machine Learning for Accurate Charge Time Estimation | Databricks

Accurate charge time estimation is key to vehicle performance and user experience. We developed a scalable ML model that enhances real-time charge predictions in vehicle controls. Traditional rule-based methods struggle with dynamic factors like environment, vehicle state, and charging conditions. Our adaptive ML solution improves accuracy by 10%. We use Unity Catalog for data governance, Delta Tables for storage, and Liquid Clustering for data layout. Job schedulers manage data processing, while AutoML accelerates model selection. MLflow streamlines tracking, versioning, and deployment. A dedicated serving endpoint enables A/B testing and real-time insights. As our data ecosystem grew, scalability became critical. Our flexible ML framework was integrated into vehicle control systems within months. With live accuracy tracking and software-driven blending, we support 50,000+ weekly charge sessions, improving energy management and user experience.

https://microsites.databricks.com/data-ai-summit-2025/session/optimizing-ev-charging-experience-machine-learning-accurate-charge-time

Optimizing EV Charging Experience: Machine Learning for Accurate Charge Time Estimation

West, Level 2, Room 2005

Arvindram Krishnamoorthy

Principal Architect, ML Solutions

I’m currently a Principal Architect in the Finance Procurement & Supply Chain Organization at T-Mobile. In my role, I design and implement innovative technology strategies and oversee the end-to-end lifecycle of large-scale ML models produced by the AI Center of Excellence. Collaborating with senior architects and stakeholders, I define the technical strategy to achieve vital organizational goals. Often, these initiatives cross different, large domains. I'm also super passionate about mentoring junior ML engineers. Currently, I've filed two patents, one was awarded, one pending, and I may be working on a couple more ;) I have two younger siblings and outside of work, I enjoy reading, fitness, whittling -- although I'm still a beginner!

https://microsites.databricks.com/data-ai-summit-2025/speaker/arvindram-krishnamoorthy

Sr Business Intelligence Mgr

https://microsites.databricks.com/data-ai-summit-2025/speaker/brian-schober

Brian Schober

Analytics and BI

Getting Data AI Ready: Testimonial of Good Governance Practices Constructing Accurate Genie Spaces | Databricks

Genie Rooms have played an integral role in democratizing important datasets like Cell Tower and Lease Information. However, in order to ensure that this exciting new release from Databricks was configured as optimally as possible from development to deployment, we needed additional scaffolding around governance. In this talk we will describe the four main components we used in conjunction with the Genie Room to build a successful product and will provide generalizable lessons to help others get the most out of this object. At the core are a declarative, metadata approach to creating UC tables deployed on a robust framework. Second, a platform that efficiently crowdsourced targeted feedback from different user groups. Third, a tool that balances the LLM’s creativity with human wisdom. And finally, a platform that enforces our principle of separating Storage from Compute to manage access to the room at a fine-grained level and enables a whole host of interesting use-cases.

https://microsites.databricks.com/data-ai-summit-2025/session/getting-data-ai-ready-testimonial-good-governance-practices

Getting Data AI Ready: Testimonial of Good Governance Practices Constructing Accurate Genie Spaces

Delta Sharing, Unity Catalog, Databricks Apps

Health and Life Sciences, Public Sector, Financial Services

South, Level 2, Room 202

john Derrico

VP Data Strategy

John is responsible for the enterprise data strategy for alternative data and ensuring responsible data innovation at Mastercard through privacy enhancing technologies to create the next generation of products and solutions. He has delivered data products for startups and fortune 500 clients in clinical, retail, financial and payments industries. John is a Six Sigma Black belt and a certified snowboard instructor based out of Stratton VT.

https://microsites.databricks.com/data-ai-summit-2025/speaker/john-derrico

Spencer Cook

Lead Solutions Architect

Spencer Cook, M.S., is a Data Strategist with experience delivering end-to-end analytics solutions in the cloud to iconic brands. Since 2021, Spencer has been a Solutions Architect at Databricks focused on revolutionizing the industry with Lakehouse Architecture. Before Databricks, he was a Data Scientist and Partner Solutions Architect champion at Valorem Reply, leading a practice focused on modern data analytics on Spark. Spencer lives in Chicago with 2 cats named Bruce and LeBron, enjoys making electronic music, and walking the city.

https://microsites.databricks.com/data-ai-summit-2025/speaker/spencer-cook

Data Strategy

Evolving Data Insights With Privacy at Mastercard | Databricks

Mastercard is a global technology company whose role is anchored in trust. It supports 3.4 billion cards and over 143 billion transactions annually. To address customers’ increasing data volume and complex privacy needs, Mastercard has developed a novel service atop Databricks’ Clean Rooms and broader Data Intelligence Platform. This service combines several Databricks components with Mastercard’s IP, providing an evolved method for data-driven insights and value-added services while ensuring a unique standalone turnkey service. The result is a secure environment where multiple parties can collaborate on sensitive data without directly accessing each other’s information. After this session, attendees will understand how Mastercard used its expertise in privacy-enhancing technologies to create collaboration tools powered by Databricks’ Clean Rooms, AI/BI, Apps, Unity Catalog, Workflows and DatabricksIQ — as well as how to take advantage of this new privacy-enhancing service directly. 

https://microsites.databricks.com/data-ai-summit-2025/session/evolving-data-insights-privacy-mastercard

Evolving Data Insights With Privacy at Mastercard

Apache Spark, Delta Lake, Unity Catalog

Media and Entertainment, Retail and CPG - Food, Travel and Hospitality

South, Level 2, Room 213

Sudipta Das

Enterprise Data Operations Director

Over two decades of experience in consulting, providing strategic guidance, and driving digital transformation. Proficient in designing and managing large-scale distributed systems, including petabyte-scale enterprise cloud data platforms. Having extensive knowledge in Digital, Cloud, IoT, Web, and Microsoft technologies.

https://microsites.databricks.com/data-ai-summit-2025/speaker/sudipta-das

Dipankar Kushari

Lead Specialist Solutions Architect

Dipankar is a Lead Specialist Solutions Architect with Databricks, helping customers build data analytics and AI platforms and solutions and helping them solve some of the toughest problems. He has a keen interest in distributed computing. Prior to joining Databricks, Dipankar worked as the Senior Specialist Solutions architect in AWS publishing numerous blogs, video blogs, creating whitepapers and helping customers build their analytics solutions.

https://microsites.databricks.com/data-ai-summit-2025/speaker/dipankar-kushari

Data and AI Governance

Powering Secure and Scalable Data Governance at PepsiCo With Unity Catalog Open APIs | Databricks

PepsiCo, given its scale, has numerous teams leveraging different tools and engines to access data and perform analytics and AI. To streamline governance across this diverse ecosystem, PepsiCo unifies its data and AI assets under an open and enterprise-grade governance framework with Unity Catalog. In this session, we'll explore real-world examples of how PepsiCo extends Unity Catalog’s governance to all its data and AI assets, enabling secure collaboration even for teams outside Databricks. Learn how PepsiCo architects permissions using service principals and service accounts to authenticate with Unity Catalog, building a multi-engine architecture with seamless and open governance. Attendees will gain practical insights into designing a scalable, flexible data platform that unifies governance across all teams while embracing openness and interoperability.

https://microsites.databricks.com/data-ai-summit-2025/session/powering-secure-and-scalable-data-governance-pepsico-unity-catalog-open

Powering Secure and Scalable Data Governance at PepsiCo With Unity Catalog Open APIs

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Home — Data + AI Summit 2025 | Databricks

Data + AI Summit — the premier event for the global data, analytics and AI community. Register now to level up your skills.

https://microsites.databricks.com/dais-summit-2025/home

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SEE YOU NEXT YEAR!

Featured speakers

Sessions

Self-Service Assortment and Space Analytics at Walmart Scale

Optimizing EV Charging Experience: Machine Learning for Accurate Charge Time Estimation

Getting Data AI Ready: Testimonial of Good Governance Practices Constructing Accurate Genie Spaces

Evolving Data Insights With Privacy at Mastercard

Powering Secure and Scalable Data Governance at PepsiCo With Unity Catalog Open APIs

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