Today on the Salesforce Admins Podcast, we talk to Abhishek Saxena, Technical Architect at Copado. Join us as we chat about how he learned Data Cloud and why understanding context is the key to making Agentforce shine. You should  for the full episode, but here are a few takeaways from our conversation with Abhishek Saxena. Overcoming the complexity of Data Cloud As a developer and architect, Abhishek isn’t lacking for technical knowledge about the Salesforce platform. But even he found it hard to get his head around what Data Cloud was and what it could do. Abhishek attended community events, scoured LinkedIn posts, studied videos, and even read a book about Data Cloud. But there were so many new terms being thrown around, and he still couldn’t explain the difference between a data lake object, a data model object, and a data source object. “Even though there was a lot of buzz around Data Cloud and how it is such an amazing, innovative solution,” Abhishek says, “I was not able to grasp what it does in an easy fashion.” Luckily, he had an ah-ha moment that helped him see the big picture, and so he’s giving a presentation at Dreamforce to share what he’s learned. What Data Cloud actually does Abhishek’s talk, “A Beginner’s Guide to Data Cloud,” will get you up to speed in 20 minutes or less. As he explains, the main thing to understand is that Data Cloud is about data unification. If you have your data in a bunch of different places, you used to have to dedicate significant developer time to maintaining APIs that allowed Salesforce to share information with your other platforms. With Data Cloud, you have everything on one record, with Salesforce and Slack as the front door. You have a complete 360 view of your customer, regardless of where the information is. Why Data Cloud is crucial for Agentforce Getting a complete picture of your customers is doubly important when it comes to Agentforce. AI agents are extremely context-dependent: they do a much better job when you “ground” them with extra parameters. As Abhishek says, “If you give agents good data, your responses are going to be much more personalized and better.” Data Cloud allows you to give your AI agents a much more specific picture of your customers, opening the door for better and more effective automations. If you’re coming to Dreamforce, make sure to come to Abhishek’s presentation so you can be a Data Cloud pro. And don’t forget to subscribe to the Salesforce Admins Podcast so you never miss an episode. Podcast swag      Learn more   Salesforce Admins Blog:    Admin Trailblazers Group      Social                     Full show transcript Mike: So have you ever tried to figure out what a data lake is and then ended up wondering where the lifeguard's at? Ditto. Today on the Salesforce Admins podcast, we're talking with Abhishek Saxena, a Salesforce consultant with a developer's mindset and a teacher's heart. Abhishek's going to take us through his journey of learning Data Cloud and how it went from something buzzworthy to something he could really explain to a five-year-old. So if you've ever felt overwhelmed by new tech or just really weren't sure where to begin this episode's for you. Plus Abhishek gives us a sneak peek at his Dreamforce session and why understanding context is key in making AI tools like Agentforce shine. So with that, let's get Abhishek on the podcast. So Abhishek, welcome to the podcast. Abhishek: Thank you so much for having me, Mike. Mike: I'm excited to talk about this because of all the things going on at Salesforce, we've got a big event coming up in just a few weeks from when this is going to air, and you're doing a presentation there, but before we talk about that, let's find out a little bit about you. How did you get started doing stuff in the Salesforce ecosystem and want to present at Dreamforce? Abhishek: Certainly. So I have been working in the Salesforce ecosystem for about 10 years now,...

Making Data Cloud Understandable for Admins

The Salesforce Admins Podcast