Google Cloud at Databricks Information + AI Summit 2024 that includes Business Leaders and Pioneers

This can be a collaborative put up from Databricks and Google Cloud. We thank Nicole Huynh, Accomplice Advertising Supervisor – Information Cloud, for her contributions.

Information + AI Summit 2024: Register now to hitch this in-person and digital occasion June 10-13 and study from the worldwide information neighborhood.

Google Cloud is an Icon Sponsor of the Databricks Data + AI Summit 2024, the premier occasion for the worldwide information neighborhood. Be a part of us to learn the way information intelligence allows each group to harness the facility of generative AI on their very own information. Hear from Google Cloud leaders who will share how clients have efficiently leveraged the Databricks Data Intelligence Platform on Google Cloud for his or her enterprise, integrating information, AI, and analytics on one widespread platform.

At Information + AI Summit, attendees may have the chance to listen to from Google Cloud information leaders sharing their insights on Tuesday, June eleventh, Wednesday, June twelfth and Thursday, June thirteenth throughout each Lightning Talks and Breakout Periods. Come hear and study concerning the newest improvements and applied sciences, and listen to thought-provoking discussions together with the power for networking alternatives the place you’ll be able to join with different information professionals in your trade.

The periods beneath are a information for everybody involved in Databricks on Google Cloud and span a spread of matters—from scaling AI/ML workloads to designing environment friendly information storage options. If in case you have questions on Databricks on Google Cloud or service integrations, join with Google Cloud Buyer Engineers at Information + AI Summit on the Google Cloud sales space on the Expo ground at Sales space #115.

Google Cloud Breakout Periods

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

Be a part of us on a background and historical past of huge language fashions. Gemini is Google’s latest, largest and most succesful massive language mannequin designed for multimodal capabilities from the bottom up. Gemini is obtainable in a spread of sizes from the smallest ones powering Android units and the bigger ones already powering Bard. Gemini has state-of-the-art efficiency on many multimodal and textual content benchmarks. This session will speak concerning the new capabilities of Gemini and the potential new use circumstances that it allows.


  • Andrew Dai, Analysis 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 remodeling how organizations derive insights from information. This session brings collectively information leaders from a number of Databricks companions to debate their experiences, challenges, and greatest practices for efficiently implementing generative AI options. Discover ways to bridge the hole between the concept of Generative AI to deploying. We’ll delve into real-world use circumstances, focus on the significance of breaking down information silos, and share methods for constructing an information tradition that embraces the transformative energy of generative AI.


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


  • Bruno Aziza, Senior Accomplice, 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 middle stage, Google has seen the variety of information purposes on GKE rising exponentially, doubling yearly since 2019. Databricks is constructed on Google Kubernetes Engine (GKE) for scalability and ease of use, guaranteeing your AI/ML infrastructure can deal with rising calls for. Databricks on Google Cloud has in depth integrations with Cloud Storage, BigQuery, and different Google Cloud providers. Discover ways to benefit from Databricks on Google Cloud to scale your workloads operating information purposes whether or not it’s for AI/ML or analytics.

Audio system:

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

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

Coaching, serving, and fine-tuning LLMs require large-scale bandwidth from storage methods. Designing storage optimally to maintain GPUs and TPUs turns into more and more essential. This session is for AI/ML and information practitioners who wish to construct AI/ML information pipelines at scale and choose the precise mixture of block, file, and object storage options to your use case. Discover ways to optimize all of your AI/ML workloads like information preparation, coaching, tuning, inference, and serving with one of the best storage resolution and simply combine 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 

Uncover how BigQuery’s new functionality to question Delta Lake tables natively can rework your information technique, which reinforces efficiency and safety, and permits seamless querying throughout a number of clouds. Learn the way this characteristic eliminates the necessity to transfer your current Delta Lake information whereas making the most of BigQuery’s highly effective information evaluation capabilities. Moreover, discover GCP’s dedication 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 Accomplice Engineering for Information Analytics, will focus on these options and clarify how one can begin leveraging them immediately.


  • Jean Ji, Head of Accomplice Engineering – Information, Google

Be a part of Google Cloud for a Completely satisfied Hour on the Information + AI Summit!

Wednesday, June twelfth, 4:00 PM – 6:00 PM
Expo Expertise Flooring, Databricks Lounge

Be a part of us for a night of meals, drinks, and video games. Mingle and join with consultants from Google Cloud and Databricks, in addition to your friends within the trade. RSVP is required to attend this unique social gathering; areas are restricted. Sign-up here to safe your spot!

We additionally invite you to go to the Google Cloud sales space on the Expo ground, the place you may get to speak 1:1 with Google Cloud buyer engineers on how you can handle your essential enterprise precedence use circumstances with Databricks on Google Cloud.

Register now to hitch this occasion and grow to be a part of the info and AI neighborhood. Learn the way corporations are constructing their lakehouse structure with Databricks on Google Cloud, making a unified, open, and scalable information platform. Get began with Databricks on Google Cloud with a 14-day free trial.

Be a part of the Information + AI neighborhood on the 2024 Summit and unlock the facility of knowledge, analytics, and AI with Databricks on Google Cloud.

For extra particulars on the periods and audio system, go to the Data + AI Summit 2024 homepage.

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