GenAI: The Shift to Data Intelligence - Customer Panel on Industry Use Cases

Databricks · Intermediate ·🛠️ AI Tools & Apps ·1y ago
Skills: LLMOps80%

Key Takeaways

Databricks explores GenAI use cases with AI leaders from 7-Eleven, State Street, and Providence, discussing production-quality GenAI applications, with a focus on data intelligence and industry-specific implementations. The discussion highlights the importance of delivering GenAI solutions to the enterprise, leveraging Databricks' resources, such as the ebook on redefining what's possible with Generative AI.

Original Description

AI leaders from 7-Eleven, State Street and Providence on what it takes to deliver production-quality GenAI applications to the enterprise. Explore 52 GenAI use cases across 6 different industries: https://www.databricks.com/resources/ebook/redefine-whats-possible-generative-ai
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Playlist

Uploads from Databricks · Databricks · 25 of 60

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5 Automate Unity Catalog Upgrade with UCX Part 3 - Assessment
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6 Automate Unity Catalog Upgrade with UCX  Part 4 - Group Migration
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10 Automate Unity Catalog Upgrade with UCX  Part 8: Code Migration
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14 Unilever transforms operations with GenAI using the Databricks Data Intelligence Platform
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15 ActionIQ enables businesses to unlock customer data with the Databricks Data Intelligence Platform
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16 Mixed Attention & LLM Context | Data Brew | Episode 35
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17 Inside Databricks SQL: Engineering innovation with Hans
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18 Inside Databricks: Engineering innovation with Michael Armbrust
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19 The Money Team at Databricks: driving revenue and customer growth
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22 NDUS leverages Databricks Data Intelligence Platform to revolutionize higher education management
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23 Démo Databricks de AI/BI
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24 EMEA Data + AI World Tour 2024
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GenAI: The Shift to Data Intelligence - Customer Panel on Industry Use Cases
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26 GenAI: The Shift to Data Intelligence - Ft. Ash Jhaveri, VP of Reality Labs Partnerships at Meta
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28 Announcing Synthetic Data Generation in Mosaic AI Agent Evaluation
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29 AI/BI Dashboards Embedding - A tutorial
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31 Databricks at AWS re:Invent 2024
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32 Hive Metastore and AWS Glue Federation in Unity Catalog
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33 Data + AI World Tour Paris 2024
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34 Retail reimagined: Currys data-first strategy to driving growth and improving operations
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35 Mixture of Memory Experts (MoME) | Data Brew | Episode 36
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36 Verana Health Data Curation and Innovation with Databricks and AWS
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37 Securing SaaS Applications: Obsidian Security on Their Journey with Databricks and AWS
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39 Chegg Eng SVP on Data-Driven Approach to Student Success with Databricks and AWS
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40 Ibotta Personalized Rewards Innovation with Databricks and AWS
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43 Databricks Serverless SQL Warehouses
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44 7 West powers audience growth with the Databricks Data Intelligence Platform
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45 Secret to Production AI: Tools & Infrastructure | Data Brew | Episode 37
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49 Unpacking Libraries in Databricks
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50 Providence uses an AI agent system from Databricks to help doctors improve their communication
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51 How State Street Uses AI to Transform Millions of Trades Daily
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52 Vevo Therapeutics CEO on Curing Disease with Data at AWS re:Invent
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53 Over Architected with Nick & Holly: Databricks updates for Feb 2025
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54 The Power of Synthetic Data | Data Brew | Episode 38
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This video features a customer panel discussing the implementation of GenAI applications in various industries, with a focus on production-quality solutions and data intelligence. The discussion provides insights into the challenges and opportunities of delivering AI solutions to the enterprise. By watching this video, viewers can gain a deeper understanding of GenAI use cases and how to implement them in their own organizations.

Key Takeaways
  1. Explore GenAI use cases across different industries
  2. Assess the feasibility of implementing GenAI solutions in your organization
  3. Develop a strategy for delivering production-quality AI applications
  4. Implement data intelligence to support AI decision-making
  5. Monitor and optimize AI application performance
💡 The key to successful GenAI implementation is to focus on production-quality applications and data intelligence, rather than just exploring the technology.

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