Shyam Raj Prasad’s Post

🚀 𝐔𝐧𝐥𝐞𝐚𝐬𝐡 𝐭𝐡𝐞 𝐩𝐨𝐰𝐞𝐫 𝐨𝐟 𝐀𝐠𝐞𝐧𝐭𝐟𝐨𝐫𝐜𝐞 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐌𝐮𝐥𝐞𝐒𝐨𝐟𝐭 Agentforce is already a powerhouse for data, reasoning, and action within the Salesforce ecosystem. With just a few clicks and prompts, you can build your first agents directly in Salesforce. But, did you know you can expand these capabilities even further with MuleSoft? 📌 Learn more about Agentforce: https://lnkd.in/ekbHVXJ3 Here’s how MuleSoft enables you to connect Agentforce seamlessly to your broader ecosystem: 1️⃣ 𝐁𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐨𝐰𝐧 𝐋𝐋𝐌 𝐮𝐬𝐢𝐧𝐠 𝐌𝐮𝐥𝐞𝐒𝐨𝐟𝐭 𝐀𝐈 𝐂𝐡𝐚𝐢𝐧 Last week, Salesforce introduced the LLM Open Connector, allowing developers to integrate any LLM with Salesforce for generative AI use cases. To use this, you’ll need to set up and deploy an API endpoint—this is where 𝐌𝐮𝐥𝐞𝐒𝐨𝐟𝐭 𝐀𝐈 𝐂𝐡𝐚𝐢𝐧 Connector shines. With no-code integration, MuleSoft makes it effortless to connect to various LLMs, like Hugging Face, Mistral AI, or even Ollama on-premise. Choose your preferred model, and MuleSoft handles the integration. 📌 LLM Open Connector: https://lnkd.in/ekbHVXJ3 📌 MuleSoft AI Chain Connector: https://lnkd.in/edVzBkZ2 2️⃣ 𝐁𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐨𝐰𝐧 𝐑𝐀𝐆 𝐮𝐬𝐢𝐧𝐠 𝐌𝐮𝐥𝐞𝐒𝐨𝐟𝐭 𝐀𝐈 𝐂𝐡𝐚𝐢𝐧 Already using Vector Databases and RAG applications? With MuleSoft AI Chain’s 𝐕𝐞𝐜𝐭𝐨𝐫 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐨𝐫, integrating your existing investments with Agentforce is a breeze. This connector makes it simple to bring your RAG apps into Agentforce with ease and efficiency. 📌 Vectors Connector: https://lnkd.in/ePr9c24K 3️⃣ 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐃𝐚𝐭𝐚 & 𝐀𝐜𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐌𝐮𝐥𝐞𝐒𝐨𝐟𝐭 To truly harness AI and accelerate digital transformation, organizations need unified data, systems, and processes. MuleSoft’s platform enables seamless connectivity across your enterprise, empowering your team to deliver AI-driven experiences with enhanced automation and control. 𝐔𝐧𝐥𝐨𝐜𝐤 𝐀𝐠𝐞𝐧𝐭𝐟𝐨𝐫𝐜𝐞'𝐬 𝐟𝐮𝐥𝐥 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐰𝐢𝐭𝐡 𝐌𝐮𝐥𝐞𝐒𝐨𝐟𝐭 🚀 🔍 Dive deeper into the MuleSoft AI Chain Project: https://mac-project.ai/ #mulesoft #aichain #salesforce #agentforce #macproject

In addition to Identity Provider (IDP), Einstein is set to streamline work across various solutions, including Mulesoft. This integration kicks off with improvements to Flow and Anypoint Code Builder. Dive deeper into the blog for all the details and insights! 🌟 #Salesforce #Einstein #Mulesoft #TechNews

📰 Hot off the press MuleSoft full lifecycle AsyncAPI support empowers AI agents is now available! As 43% of IT leaders face challenges integrating systems with Event Driven Architectures, MuleSoft's AsyncAPI support offers a solution. Now, Agentforce can integrate applications and AI agents into their EDA, enabling real-time data flows and enhancing customer experiences. Dive into the details: Michael Sharp George O'Connor Alex Stoney Holly Dean Andrew Dent Corrine Murphy Rhys Coles Tom Marshall

Reach out and let’s discuss how Salesforce can support your data, CRM and AI goals!

A great use case for how #AI can support salespeople and the sales process. IBM and Salesforce enhance business automation with tailored autonomous agents, combining the power of #Agentforce, #watsonx Orchestrate, and #Granite models. It will also expand the previously announced Zero Copy data integration between Salesforce Data Cloud and #watsonx.data (our hybrid, open data #lakehouse), to include additional data sources from #mainframes and #DB2 databases to power AI.

Yesterday, we announced the roadmap for MuleSoft, an integration and automation platform. During the presentation, I highlighted the features of MuleSoft, emphasizing its ability to facilitate the utilization of data scattered across various systems through integration and securely manage all APIs. Additionally, MuleSoft supports the creation of workflows across structured and unstructured data, eliminating the need for manual processes. Furthermore, it implements AI prediction and generation functions to streamline the integration of AI in business operations. #MuleSoft #salesforce #api

🎉 Excited to share that I’ve achieved the Salesforce Certified AI Specialist certification! 🎉  This milestone feels like a perfect closing piece in a journey I’ve been on for several years.  💡 Here's the vision I’ve been working towards:  1️⃣ A Rich Standard Model: Building a strong foundation with the core clouds, extended with industry-specific clouds.  2️⃣ Integration & Enrichment: Leveraging MuleSoft and Data Cloud to extend, enrich, and surface data wherever needed.   3️⃣ AI as the Accelerator: Harnessing the power of AI to transform data into actionable insights and drive business acceleration.  Salesforce has truly been on a remarkable journey in recent years.  - It started with the bold (and initially contested) acquisition of MuleSoft, which has since proven to be a game-changer.   - After a few rebrandings, Data Cloud emerged as a powerful, evolving platform to unify and activate data at scale.   - Most recently, Salesforce brought AI, specifically generative AI and GPT technology, to a maturity level where it can support diverse, real-world use cases with ease.  I’ll admit, I had my moments of skepticism along the way, but the results speak for themselves. Salesforce now seamlessly handles enterprise-wide landscapes, enabling any data to be presented and made actionable directly within the platform. Generative AI now is consuming data from anywhere and surfacing it wherever it’s needed.  In my view, any Salesforce architecture today should consider these as core components:   - Industry Clouds   - Data Cloud   - AI  I’d love to hear your thoughts, especially if you see it differently 😉 . Let’s discuss! 

Nearly half of IT professionals worry their security infrastructure won’t be able to keep up with AI development demands. Salesforce introduces two bundled solutions to help IT teams: ➡️ train new employees on how to use AI safely and securely before deploying to production ➡️ quickly prepare, configure, and manage the data they use in their AI implementations Learn more:

Salesforce’s support for AsyncAPI, now generally available, is a major step forward in how businesses can manage APIs and scalable event-driven architectures. As organizations collect and exchange more real-time data, the need for asynchronous communication becomes paramount. Traditional synchronous APIs might leave you vulnerable to bottlenecks, especially during periods of high data traffic or when working with distributed systems. AsyncAPI offers a way to not only manage these communications more efficiently but also improve resilience and flexibility in your architecture. For enterprise organizations, this capability is crucial. With complex systems handling streams of data from various departments—whether it's sales, marketing, or customer service—AsyncAPI allows the seamless management of these event-driven communications. This reduces latency and ensures that data is flowing where it needs to go, without placing a heavy load on systems. Enterprises can benefit from better scalability, faster responsiveness, and secure data handling, even when systems are distributed across multiple clouds or platforms. For SMBs, AsyncAPI provides a rare opportunity to build event-driven systems that were once only accessible to larger players. SMBs can now implement scalable, asynchronous communication channels that keep up with the real-time demands of their customers—whether it's managing inventories, handling service requests, or communicating with customers. The added flexibility allows smaller businesses to scale faster without rearchitecting entire solutions. At Maple DX, we see AsyncAPI integration as a vital part of the modern Salesforce blueprint. Whether you're looking to optimize your current API strategy or build from the ground up, understanding how AsyncAPI interacts with an event-driven architecture can drive immense operational value, faster decision-making, and more consistent customer engagement. Let’s connect if you’re interested in exploring how Maple DX can help you implement event-driven architectures using Salesforce AsyncAPI to boost your scalability and ROI. #Salesforce #AsyncAPI #APIManagement #MapleDX #SalesforceConsulting #EnterpriseArchitecture #DigitalTransformation #CustomerExperience #SMBSuccess #EventDrivenSystems #Efficiency #Scalability #DataFlow #CloudComputing

🔄 Repost Alert! 🔄 As businesses turn to event-driven architectures (EDAs) to meet customer demands for real-time data, many IT leaders (43%!) still struggle to integrate these architectures with legacy systems. The great news? With MuleSoft's newly launched full lifecycle AsyncAPI support, organizations can seamlessly integrate AI agents with their EDA, opening up incredible possibilities for more engaging, real-time customer experiences. From smarter, streamlined support to proactive incident management and optimized inventory, these solutions empower businesses to deliver exactly what customers need, precisely when they need it. At Data-Magnum, we’re here to help! Whether you’re just starting out with Salesforce or looking to optimize an established practice, our team covers all levels of Salesforce expertise—delivering cost-effective, customized solutions that drive business value. 💼 Let Us Help You Optimize Your Salesforce Practice! 📧 Email: sales@data-magnum.com 📞 Call: +1 (424) 772-2338 Salesforce Salesforce News & Insights Salesforce Partners Salesforce Developers Prasad Mavuduri #Salesforce #MuleSoft #EventDrivenArchitecture #AI #CustomerExperience #DataMagnum