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This is a collaborative post from Databricks and Google Cloud. We thank Nicole Huynh, Partner Marketing Manager - Data Cloud, for her contributions.

Data + AI Summit 2024: Register now to join this in-person and virtual event June 10-13 and learn from the global data community.

Google Cloud is an Icon Sponsor of the Databricks Data + AI Summit 2024, the premier event for the global data community. Join us to learn how data intelligence enables every organization to harness the power of generative AI on their own data. Hear from Google Cloud leaders who will share how customers have successfully leveraged the Databricks Data Intelligence Platform on Google Cloud for their business, integrating data, AI, and analytics on one common platform.

At Data + AI Summit, attendees will have the opportunity to hear from Google Cloud data leaders sharing their insights on Tuesday, June 11th, Wednesday, June 12th and Thursday, June 13th during both Lightning Talks and Breakout Sessions. Come listen and learn about the latest innovations and technologies, and hear thought-provoking discussions along with the ability for networking opportunities where you can connect with other data professionals in your industry.

The sessions below are a guide for everyone interested in Databricks on Google Cloud and span a range of topics—from scaling AI/ML workloads to designing efficient data storage solutions. If you have questions about Databricks on Google Cloud or service integrations, connect with Google Cloud Customer Engineers at Data + AI Summit at the Google Cloud booth on the Expo floor at Booth #115.

Google Cloud Breakout Sessions

Gemini: A Background to LLMs and Google's Newest Multimodal LLM
Wednesday, June 12, 2024, 12:30 PM - 1:10 PM

Join us on a background and history of large language models. Gemini is Google's newest, largest and most capable large language model designed for multimodal capabilities from the ground up. Gemini is available in a range of sizes from the smallest ones powering Android devices and the larger ones already powering Bard. Gemini has state of the art performance on many multimodal and text benchmarks. This session will talk about the new capabilities of Gemini and the potential new use cases that it enables.


  • Andrew Dai, Research Scientist (Director), Google DeepMind

Make Generative AI Work - Best Practices from Data Leaders
Wednesday, June 12, 2024, 1:40 PM - 2:20 PM

Generative AI is transforming how organizations derive insights from data. This session brings together data leaders from multiple Databricks partners to discuss their experiences, challenges, and best practices for successfully implementing generative AI solutions. Learn how to bridge the gap between the idea of Generative AI to deploying. We'll delve into real-world use cases, discuss the importance of breaking down data silos, and share strategies for building a data culture that embraces the transformative power of generative AI.


  • Sudhir Hasbe, Chief Product Officer, Neo4j
  • Anjan Kundavaram, Chief Product Officer, Fivetran
  • Amit Prakash, Co-founder, CTO, ThoughtSpot


  • Bruno Aziza, Senior Partner, Alphabet’s CapitalG 

Google Cloud Lightning Talks

Scale Your Databricks Workloads Up to 15k Nodes on Google Cloud
Tuesday, June 11, 2024, 2:00 PM - 2:20 PM

As containerization takes center stage, Google has seen the number of data applications on GKE growing exponentially, doubling every year since 2019. Databricks is built on Google Kubernetes Engine (GKE) for scalability and ease of use, ensuring your AI/ML infrastructure can handle growing demands. Databricks on Google Cloud has extensive integrations with Cloud Storage, BigQuery, and other Google Cloud services. Learn how to take advantage of Databricks on Google Cloud to scale your workloads running data applications whether it is for AI/ML or analytics.


  • Anirban Sengupta, Director Engineering, Google Kubernetes Engine
  • Eduardo Ohe, Data Engineer, NEAR

Designing Cloud Storage for LLMs and Data-Intensive Workloads
Wednesday, June 12, 2024, 1:10 PM - 1:30 PM

Training, serving, and fine-tuning LLMs require large-scale bandwidth from storage systems. Designing storage optimally to keep GPUs and TPUs becomes increasingly important. This session is for AI/ML and data practitioners who want to build AI/ML data pipelines at scale and select the right combination of block, file, and object storage solutions for your use case. Learn how to optimize all your AI/ML workloads like data preparation, training, tuning, inference, and serving with the best storage solution and easily integrate them into your Databricks deployed on Google Kubernetes Engine or Vertex AI workflows.


  • Sridevi Ravuri, Senior Engineering Director, Google Cloud Storage

BigQuery Native Integration with Delta Lake - The Latest Announcement
Thursday, June 13, 2024, 2:00 PM - 2:20 PM 

Discover how BigQuery's new capability to query Delta Lake tables natively can transform your data strategy, which enhances performance and security, and allows seamless querying across multiple clouds. Learn how this feature eliminates the need to move your existing Delta Lake data while taking advantage of BigQuery's powerful data analysis capabilities. Additionally, explore GCP's commitment to being an open platform with integrations like Looker with Unity Catalog and DB-SQL and bi-directional interoperability between Dataplex and Unity Catalog. Jean Ji, Google Cloud's Head of Partner Engineering for Data Analytics, will discuss these features and explain how you can start leveraging them today.


  • Jean Ji, Head of Partner Engineering - Data, Google

Join Google Cloud for a Happy Hour at the Data + AI Summit!

Wednesday, June 12th, 4:00 PM - 6:00 PM
Expo Experience Floor, Databricks Lounge

Join us for an evening of food, drinks, and games. Mingle and connect with experts from Google Cloud and Databricks, as well as your peers in the industry. RSVP is required to attend this exclusive party; spaces are limited. Sign-up here to secure your spot!

We also invite you to visit the Google Cloud booth on the Expo floor, where you'll get to talk 1:1 with Google Cloud customer engineers on how to address your critical business priority use cases with Databricks on Google Cloud.

Register now to join this event and become part of the data and AI community. Learn how companies are building their lakehouse architecture with Databricks on Google Cloud, creating a unified, open, and scalable data platform. Get started with Databricks on Google Cloud with a 14-day free trial.

Join the Data + AI community at the 2024 Summit and unlock the power of data, analytics, and AI with Databricks on Google Cloud.

For more details on the sessions and speakers, visit the Data + AI Summit 2024 homepage.

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