• What Are the Key Features of Salesforce's Model Builder?

  • Jul 25 2024
  • Duración: 29 m
  • Podcast

What Are the Key Features of Salesforce's Model Builder? Por arte de portada

What Are the Key Features of Salesforce's Model Builder?

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  • Today on the Salesforce Admins Podcast, it’s another deep dive with Josh Birk as he talks to Bobby Brill, Senior Director of Product for Einstein Discovery. Join us as we chat about how you can use Model Builder to harness the power of AI with clicks, not code. You should subscribe for the full episode, but here are a few takeaways from our conversation with Bobby Brill. What is Model Builder? Bobby started his career at Salesforce in Customer Success before working on Wave Analytics. These days, he’s the Senior Director of Product for Einstein Discovery, and he’s here to talk about what Model Builder can do for your business. If you have Data Cloud, then you already have access to Model Builder via the Einstein Studio Tab. With it, you can create predictive models with clicks, not code, using AI to look through your data and generate actionable insights. As Bobby says, the AI isn’t really the interesting part—it’s how you can use it as a tool to solve your business problems. BYOM - Build Your Own Model In traditional machine learning, models are trained on data to identify successful and unsuccessful trends, which is fundamental for making accurate predictions. For example, if you want to create an opportunity scoring model, you need to point it to the data you have on which leads converted and which leads didn’t pan out. Model Builder lets you do just that, building your own model based on the data in your org. What’s more, it fits seamlessly into the structures admins already understand. We can put our opportunity scoring model into a flow to sort high-scoring leads into a priority queue. And we can do all of this with clicks, not code. Building a predictive model that’s good enough Einstein’s LLM capabilities offer even more possibilities when it comes to using your data with Model Builder. You can process unstructured texts like chats or emails to do something like measure if a customer is becoming unhappy. And you can plug that into a flow to do something to fix it. One thing that Bobby points out is that building a model is an iterative process. If you have 100% accuracy, you haven’t really created a predictive model so much as a business rule. As long as the impact of a wrong decision is manageable, it’s OK to build something that’s good enough and know that it will improve over time. There’s a lot more great stuff from Bobby about how to build predictive models and what’s coming next, so be sure to listen to the full episode. And don’t forget to subscribe to hear more from the Salesforce Admins Podcast. Podcast swag Salesforce Admins on the Trailhead Store Learn more Trailmix: Drive Productivity with Einstein AI Trailhead: Learn Artificial Intelligence with Trailhead Admin Trailblazers Group Admin Trailblazers Community Group Social Connect with Bobby: https://www.linkedin.com/in/bobbybrill/ Salesforce Admins: @SalesforceAdmns Mike on Threads: https://www.threads.net/@mikegerholdt/ Mike on Tiktok: https://www.tiktok.com/@salesforce.mike Mike on X: @MikeGerholdt Full show transcript Josh: Hello, everybody. Your guest host Josh Birk here. Today we are going to talk to Bobby Brill about Model Builder, which is going to allow you to create your own predictive and generative models to use within Salesforce. So without further delay, let's head on over to Bobby. All right, today on the show we welcome Bobby Brill to talk about Model Builder. Do you prefer Robert, Bob, Bobby? What do you like to go by? Bobby: It's an excellent question. So I'm a junior. My dad is Robert Howard Brill Sr. I have the same first middle and last name. He goes by Robert, Rob, or Bob, so I've always been Bobby my whole life. Josh: Yeah, I feel you. My brother is Peter. My father was a Carl Peter and my grandfather was a Carl Peter. Bobby: Wow. Josh: Got very confusing sometimes. Yeah, yeah. So introduce yourself a little bit to the crowd. What do you do at Salesforce? Bobby: That's a great question. I've been at Salesforce almost 13 years. I was a customer of Salesforce for about three and a half years prior to joining, so I've been in the ecosystem for quite some time. Josh: Got it. Bobby: I started off in actually customer success group, actually it was called Customers for Life. So I worked with customers getting on boarded onto Salesforce. I joined the product team back in 2015 in analytics, so we had this thing called Wave Analytics. So even well before AI I've been working with data. The last year I've actually been part of the data cloud team, so I do AI for data cloud, so it's called Model Builder. Josh: Got it. Got it. Were you interested in AI before it blew up, before it got all big? Bobby: Am I interested in AI? I think it's interesting. I think it's really cool technology, but what I really like is how the technology can help our customers solve their business problems. I was a customer, I understood what it was like to just have this tool available and put...
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