By René Winkelmeyer
4.5
3232 ratings
The podcast currently has 230 episodes available.
Join us as we discuss event-driven architectures (EDA) with MuleSoft's latest capabilities with Alex Martinez. The discussion will explore the integration of AsyncAPI specifications, which streamline the transition from REST to event-driven systems, enabling high-volume asynchronous communications and improved API lifecycle management.
The conversation highlights tools like Anypoint Studio and Anypoint Code Builder that simplify complex integrations using messaging technologies such as Kafka, Solace, and Salesforce Platform Events. Whether new to EDA or an experienced developer, this episode is packed with valuable information and resources to elevate integration strategies and deepen understanding of the future of software development.
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Australia's Dave Norris joins us in exploring the cutting-edge techniques of Retrieval Augmented Generation (RAG) and hybrid search methods. We delve into the limitations of traditional keyword searches in the face of unstructured data like PDFs and emails, which make up a significant portion of enterprise data. By using Data Cloud and hyperscalers like Google, Amazon, and Microsoft, Dave shows how to transform chaotic data into intelligent search engines.
The discussion highlights the role of context in AI-generated responses, illustrating this with the challenge of summarizing meetings without enough information. The episode also examines the potential of hybrid search technologies such as Agentforce and vector search, emphasizing the importance of prompt engineering in refining data retrieval.
Through examples from Dreamforce and fictional companies, listeners gain insights into how these technologies enhance user experiences by combining semantic and keyword searches, showcasing the advanced potential of modern search innovations.
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Using Retrieval Augmented Generation in Data Cloud — https://help.salesforce.com/s/articleView?id=sf.c360_a_rag_overview.htm&type=5
In this episode, we dive into the latest innovations and updates unveiled at Dreamforce 2024 with Philippe Ozil. We explore the refreshed Lightning Design System (SLDS2), which enhances accessibility and themability without disrupting customizations. Discover the game-changing Local Development (beta), offering real-time component updates and seamless page state maintenance. We also highlight new mobile capabilities, including native feature plugins and the empowering AgentForce suite designed for specialized AI agents.
Learn about significant advancements in Salesforce tooling, the benefits of local development without deployment, and the introduction of Core Cloud, a new sample app rich with educational resources. Don't miss insights from the latest developer keynote and future trends in Data Cloud and Data Graphs.
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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.
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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
The podcast currently has 230 episodes available.
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