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220: Data Cloud for Developers with Dave Norris
Manage episode 425282589 series 2577106
What if you could use the power of artificial intelligence (AI) to transform your business operations? In this episode, we welcome Dave Norris to discuss the profound impact of Salesforce's strategic acquisitions — such as ExactTarget, Pardot, Heroku, and Slack — on the developer ecosystem. We cover the intricacies of integrating diversified data systems and emphasize the importance of centralized data management through MuleSoft.
We'll explore how Data Cloud handles structured and unstructured data, enhancing AI functionalities with tools like Prompt Builder and the newly released Data Cloud Vector Search. This episode sheds light on how grounding AI with enterprise-specific information can significantly boost productivity and deliver accurate, context-rich responses. Listen in for a detailed description of data and AI within the Salesforce ecosystem!
Show Highlights:
Centralizing data with MuleSoft and the role of Data Cloud in data ingestion, mapping, and security
Using AI capabilities like Einstein AI within the Salesforce ecosystem
Integrating structured and unstructured data using Data Cloud for enhanced AI functionality
Practical insights and use cases, including predictive AI in animal adoption data
General availability of Data Cloud Vector Search and its impact on semantic searching
Enhancing enterprise productivity by grounding AI with specific enterprise data for more accurate responses
Links:
Data Cloud + Einstein AI: The Developer’s Pocket Guide - https://developer.salesforce.com/blogs/2024/05/data-cloud-einstein-ai-the-developers-pocket-guide
Bring Your Own Large Language Model in Einstein 1 Studio - https://developer.salesforce.com/blogs/2024/03/bring-your-own-large-language-model-in-einstein-1-studio
177 פרקים
Manage episode 425282589 series 2577106
What if you could use the power of artificial intelligence (AI) to transform your business operations? In this episode, we welcome Dave Norris to discuss the profound impact of Salesforce's strategic acquisitions — such as ExactTarget, Pardot, Heroku, and Slack — on the developer ecosystem. We cover the intricacies of integrating diversified data systems and emphasize the importance of centralized data management through MuleSoft.
We'll explore how Data Cloud handles structured and unstructured data, enhancing AI functionalities with tools like Prompt Builder and the newly released Data Cloud Vector Search. This episode sheds light on how grounding AI with enterprise-specific information can significantly boost productivity and deliver accurate, context-rich responses. Listen in for a detailed description of data and AI within the Salesforce ecosystem!
Show Highlights:
Centralizing data with MuleSoft and the role of Data Cloud in data ingestion, mapping, and security
Using AI capabilities like Einstein AI within the Salesforce ecosystem
Integrating structured and unstructured data using Data Cloud for enhanced AI functionality
Practical insights and use cases, including predictive AI in animal adoption data
General availability of Data Cloud Vector Search and its impact on semantic searching
Enhancing enterprise productivity by grounding AI with specific enterprise data for more accurate responses
Links:
Data Cloud + Einstein AI: The Developer’s Pocket Guide - https://developer.salesforce.com/blogs/2024/05/data-cloud-einstein-ai-the-developers-pocket-guide
Bring Your Own Large Language Model in Einstein 1 Studio - https://developer.salesforce.com/blogs/2024/03/bring-your-own-large-language-model-in-einstein-1-studio
177 פרקים
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1 229: AsyncAPI and Event-Driven Architecture Using MuleSoft with Alex
Martinez 18:54

1 228: Retrieval Augmented Generation using Data Cloud with Dave Norris 24:26

1 227: Dreamforce 2024 with Philippe Ozil 16:54

1 226: Winter ’25 Release Highlights with Mohith Shrivastava 20:56

1 225: Einstein Models API with Alba Rivas 23:27

1 224: MuleSoft Intelligent Document Processing with Akshata Sawant 15:47

1 223: Data Cloud Summer '24 Features with Danielle Larregui 14:44

1 222: Generative AI and Einstein with Charles Watkins 19:28

1 221: MuleSoft Anypoint Code Builder with Alex Martinez 17:32

1 220: Data Cloud for Developers with Dave Norris 24:38

1 219: Salesforce and AWS Unified Developer Experience with Philippe
Ozil 14:12

1 218: Summer ’24 Release Highlights with Mohith Shrivastava 19:41

1 217: Einstein Copilot Custom Actions with Mohith Shrivastava 15:00

1 216: Why Use MuleSoft with Data Cloud & Einstein Copilot with
Akshata Sawant 15:33

1 215: The Future of AI with Salesforce's Einstein 1 Studio & Data
Cloud featuring Danielle Larregui 17:13

1 214: Salesforce Developer Sample Apps featuring Philippe Ozil 15:12

1 213: What's New with Lightning Web Components Featuring Alba Rivas 22:32

1 212: Mobile Platform Tooling with Ashwin Nair and Galen Lewis 27:43

1 211: Anypoint Code Builder with Simone Geib 29:59

1 210: Spring ’24 Release Highlights with Mohith Shrivastava 33:15

1 209: Screen Flow Latest Features with Adam White 28:51

1 208: The Global Salesforce Community with Christie Fidura 30:08

1 207: Organizing Dreamin' Conferences 29:46

1 206: Building Chatbots with Apex 29:56

1 205: Data, AI, and MuleSoft with Ajay Kumar 36:33

1 204: B2C Commerce Cloud with Thomas Theunen 35:16

1 203: MuleSoft API Experience Hub with Igor Androsov 31:35

1 202: The Future of Development with Stephan Chandler-Garcia 32:04

1 201: Test Automation using MaxTAF with Alex Delic 27:30

1 200: 200 Episodes with Josh Birk 28:43
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