By René Winkelmeyer
4.5
3232 ratings
The podcast currently has 227 episodes available.
In this episode, we welcome back Mohith Shrivastava to delve into the groundbreaking features of the Salesforce Winter '25 release. We discuss Agentforce, Salesforce's innovative AI agentic solution that leverages tools like Flows, Apex, and Prompt Builder to autonomously execute tasks. The episode also highlights advancements in Agent Builder (fka Copilot Builder) for creating assistive and autonomous agents, and the introduction of Agentforce for Developers.
Further, we explore significant updates in Salesforce Data Cloud, including Retrieval-Augmented Generation (RAG) capabilities, vector search, and the much-anticipated beta release of Data Cloud sandboxes. Finally, we touch on the new local development feature for Lightning Web Components (LWC) that provide real-time previews and rapid iterations.
Tune in to learn how these Winter '25 updates can elevate your Salesforce development and data management capabilities.
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Alba Rivas, a passionate Salesforce Developer Advocate, shares her insights on the power of Salesforce's Models API. Discover how this API enables developers to seamlessly integrate large language models via REST API or Apex, eliminating the need for custom code or prompt templates. Alba highlights the critical role of the Einstein Trust Layer in ensuring data security, compliance, and efficient integration with external models. Gain knowledge on AI implementation, including maintaining audit trails, monitoring data for toxicity, and using human feedback for refining AI systems.
We also explore the flexibility and capabilities of the Models API, offering a centralized interface for developers, along with resources like Postman collections, codeLive sessions, and an upcoming Trailhead module to support your journey in mastering generative AI with Salesforce.
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In this episode, we sit down with expert Akshata Sawant to discuss MuleSoft Intelligent Document Processing (IDP). Akshata delves into how IDP uses AI to extract and organize data from a variety of unstructured documents, such as purchase orders, invoices, and driving licenses, using AWS Textract for exact information extraction. The discussion highlights IDP's seamless integration with multiple systems via REST API endpoints and its application in automating the processing of daily invoices received via email.
Learn about IDP's ability to handle different document structures without needing multiple templates and the crucial role of human oversight when the AI's confidence ratio falls below 80%, ensuring accuracy and reliability. This episode offers a comprehensive look at how IDP can revolutionize document workflows, balancing automation with human intervention, and provides valuable resources for further learning.
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What groundbreaking features are making waves with Salesforce Data Cloud this summer? Join us for a conversation with Danielle Larregui as she walks us through the latest advancements in the Summer '24 release. We discuss the innovative ability to virtualize data model objects on account records and the extended reach of Enrichments to include more standard and custom objects. Plus, Danielle introduces new connectors like the Heroku Postgres connector for seamless data integration from Heroku to Data Cloud.
And that's not all! We also caught up with René to talk about the buzz surrounding the AI Now Tour. These tours are a fantastic opportunity for those eager to get hands-on with Einstein and Data Cloud. Happy listening!
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Could integrating generative AI revolutionize your business processes? Join us as we sit down with Charles Watkins, the newest Salesforce Developer Advocate, to unveil the transformative capabilities of Salesforce's Prompt Builder. Charles shares a compelling example from his own support background, illustrating how this innovative tool can streamline the summarization and categorization of support cases. Learn how Prompt Builder simplifies switching between large language models like OpenAI and Microsoft Azure, making advanced AI accessible without complex integrations.
We also decode Salesforce's cutting-edge Models API, currently in beta, offering a granular, controlled approach to generative AI. Charles discusses how the API can be harnessed to build chat-based conversational AI apps, embeddings, and more using REST API and Apex interfaces. Discover the security advantages of the Einstein Trust Layer, which ensures data privacy, and hear about the impressive response times of models like GPT-4. This episode is a treasure trove for developers eager to experiment with Salesforce's open-gen AI ecosystem. Don't miss this opportunity to get inspired and elevate your AI game.
Show Highlights:
The Prompt Builder tool for automating business processes like summarizing and categorizing support cases.
Simplified integration with multiple large language models such as OpenAI and Microsoft Azure.
The new Models API for creating chat-based AI apps, embeddings, and text generation solutions.
Benefits of the Einstein Trust Layer for enhanced security and data privacy.
The rapid response times of models like GPT-4 and the lack of a streaming API.
Links:
Applying Fundamentals of Prompt Engineering with Prompt Builder - https://developer.salesforce.com/blogs/2024/07/applying-fundamentals-of-prompt-engineering-with-prompt-builder
Using Prompt Builder, Flows, and Apex to Summarize and Classify Cases Faster - https://developer.salesforce.com/blogs/2024/06/using-prompt-builder-flows-and-apex-to-summarize-and-classify-cases-faster
Prompt Builder for Developers Playlist - https://www.youtube.com/playlist?list=PLgIMQe2PKPSIarRb6ud6odVxB1gv-hbO8
Einstein 1 Studio Developer Center - https://developer.salesforce.com/developer-centers/einstein-1-studio
Join us as we welcome Alex Martinez to discuss the latest updates on Anypoint Code Builder (ACB), a new IDE based on Visual Studio Code, which is set to replace the old Eclipse-based Anypoint Studio. Alex sheds light on the significant release that occurred on June 4th, 2024, bringing notable improvements to DataWeave and MUnit. You'll hear about the benefits of transitioning to a modern IDE, the enhanced capabilities for running MUnit tests, and the introduction of the DataWeave Expression Builder.
Listen in as we explore the recent enhancements in the MuleSoft ecosystem, including the ability to select different Java versions within Anypoint Studio and Anypoint Code Builder (ACB). We'll discuss the dual flavors of ACB — local and web-based IDEs — and their respective advantages, such as ease of configuration and flexibility for specific projects. This episode promises an exciting look ahead at future updates and the ongoing evolution of MuleSoft tools, sure to spark your interest in revisiting and exploring these new capabilities further.
Show Highlights:
Overview of ACB as a Visual Studio Code-based IDE
Enhancements in DataWeave and MUnit within ACB
User-friendly features of the DataWeave Expression Builder
Dual options of local and web-based IDEs in ACB
Support for different Java versions in both Anypoint Studio and ACB
New features, including async API support and improved API kit configurations
Links:
MuleSoft Anypoint Code Builder (ACB) Release Notes - https://docs.mulesoft.com/release-notes/code-builder/acb-release-notes
Anypoint Code Builder June '24 Release Playlist - https://www.youtube.com/playlist?list=PLiONnRuKRuJCtQBGW9Qcrp_tCMgBmg0-F
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
In this episode, we discuss the intricacies of integrating Salesforce with AWS alongside expert Philippe Ozil. We cover the capabilities of Salesforce Connect and its AWS adapters, which facilitate efficient data and event-driven integrations without the hassle of data replication. Hear the benefits of Amazon DynamoDB, Amazon Athena, and the versatile GraphQL adapter, each serving unique use cases within Salesforce. As we wait to hear Philippe's insights from the CheckDreaming conference in Prague, we encourage you to continue your learning journey. Thank you for joining us and sharing in our passion for the evolving world of Salesforce development.
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Join us as we sit down with Salesforce maestro Mohith Shrivastava to unwrap the Summer '24 Salesforce release. We take a tour through the latest and greatest enhancements that are stirring up excitement in the developer community. From the seamless integration of Data Cloud with the Salesforce core platform to the introduction of static SOQL for Data Model Objects (DMOs), our conversation lights the path to simplifying the creation of test classes with the ability to mock SOQL queries.
Listen in as we uncover the revolutionary developments in Einstein Copilot for developers and how custom actions can now be extended and built using Apex, flows, or prompt templates. Wrapping up our discussion, we celebrate the quality of life improvements that are game-changers for developers.
Show Highlights:
Discussion on Data Cloud integration with Salesforce core and static SOQL for DMOs.
Introduction of the ability to mock SOQL queries, enhancing test class creation.
Insights into Einstein Copilot going GA, custom action capabilities, and improved analytics.
Monthly updates on Einstein 1 Studio features and quality-of-life improvements for developers.
Apex enhancements including cursors for async processing and deepened SOQL query levels.
New features for Lightning Web Components (LWCs) and enhancements to ISV packaging and APIs.
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Read: The Salesforce Developer’s Guide to the Summer ’24 Release
RSVP: Release Readiness Live is back on Thursday, May 30 at 9 a.m. PST. Hear about the latest features from some of Salesforce’s excellent product managers and developer advocates.
Read: Summer ’24 Release Notes
Join: Salesforce Developers Trailblazer Community group
Join us as we chat with Mohith Shrivastava, a Salesforce Developer Advocate who needs no introduction to the Salesforce community. Listen in as Mohith unravels the intricacies of Einstein Copilot custom actions and how this conversational AI assistant is revolutionizing the Salesforce experience by understanding an organization's metadata and data permissions. For developers, the excitement lies in custom actions — Mohith shares how these can be crafted using flows, Apex, and prompt templates to enhance productivity and user interaction.
Mohith explains the flexibility offered by Einstein Copilot's use of large language models, moving away from the rigidity of traditional chatbot implementations. We dissect how developers can think of their implementations as microservices, writing individual actions that the reasoning engine then seamlessly chains together.
Tune in and empower your Salesforce development skills with insights from one of the platform's most recognized advocates.
Show Highlights:
How developers can utilize flows, Apex, and prompt templates to build dynamic conversational interfaces.
The use of large language models for flexible, microservices-based approaches in chatbot design.
Technical details on extending Salesforce's AI capabilities using standard technologies for personalized user interactions.
Importance of proper architecture, understanding governor limits, and optimizing triggers for successful AI integration in Salesforce.
The potential of integrating external data and services to enhance Salesforce AI functionalities.
The importance of quality data and Data Cloud for improving AI experiences within Salesforce applications.
Links:
Build Custom Copilot Actions Using Apex - https://developer.salesforce.com/blogs/2024/03/build-custom-copilot-actions-using-apex
Build Custom Copilot Actions using Apex - https://www.youtube.com/watch?v=2XvyeiwNbDI
Extend Your Copilot with Custom Actions - https://help.salesforce.com/s/articleView?id=sf.copilot_actions_custom.htm&type=5
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