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The Einstein Trust Layer is a secure AI architecture integrated into the Salesforce platform. It includes a set of features and guardrails designed to protect data privacy and security, improve AI result accuracy, and promote responsible AI use. This article presents an Overview of Salesforce Einstein Trust Layer. Key features include: Salesforce’s zero-data retention policy…
Prediction write back fields in Salesforce are custom fields that serve as containers for storing numerical predictions or scores generated by Einstein Discovery. They are exclusive to Einstein and can only be written to by the Einstein Discovery platform. Prediction writeback fields are typically used for two types of predictive tasks: We can use them…
We have explored descriptive insights of data in Einstein discovery in our previous article Explore data insights in Einstein Discovery – Mortgage Banking Technology | Origination Strategy Consulting (takefiveconsulting.com). In this article we will dive into diagnostic and comparative insights in Einstein discovery. Diagnostic insights Extracted from the model, diagnostic insights unveil the reasons behind…
User engagement is the process of onboarding, empowering, assisting, and educating users through in-app guidance. In this article we will discuss an overview of user engagement in Salesforce. Below shows ‘Guidance center’ which is an example for user engagement. There are four basic scenarios in user engagement. Types of user engagement How to decide which…
Einstein Copilot harnesses the power of Salesforce CRM and the convenience of an AI assistant, integrating advanced natural language processing capabilities akin to those found in large language models such as ChatGPT. This article presents an overview of Einstein Copilot. Copilot responds to your natural language prompts for various business tasks, ranging from inquiries to…
We have covered the overview of model performance in your previous articles on Einstein Discovery. In this blog, let us dive into learning How to Evaluate a model in Einstein Discovery. Models, Variables, and Observations For every observation, there will be a specific set of predictor variables as input , and a corresponding prediction as…
In Create a model in Einstein Discovery Part 1 – Mortgage Banking Technology | Origination Strategy Consulting (takefiveconsulting.com) and CREATE A MODEL IN EINSTEIN DISCOVERY PART 2 – Mortgage Banking Technology | Origination Strategy Consulting (takefiveconsulting.com), we have covered how to create a model from a dataset in Einstein Discovery. In this article, we will…
Einstein Discovery enhances business intelligence by leveraging statistical modeling and machine learning to uncover, highlight, and present insights derived from your business data. This article is the second part of Overview of Einstein Discovery Part 1 – Mortgage Banking Technology | Origination Strategy Consulting (takefiveconsulting.com) which covers the steps of deciding the target outcome, preparing…
Einstein Discovery by Salesforce is a powerful tool that integrates statistical modeling and supervised machine learning into your business intelligence processes. This platform offers a user-friendly, no-code-required environment for rapid iteration and analysis. This blog presents an overview of Einstein Discovery. Here’s how it works: Einstein Discovery, part of Salesforce, empowers businesses by: When implementing…
Revenue intelligence integrates diverse facets of the sales process, spanning sales analytics, customer analytics, pipeline inspection, price optimization, and market intelligence. Through harnessing data from various channels like CRM systems, sales pipelines, customer interactions, and external market sources, this strategic tool empowers businesses to make well-informed decisions. The aim is to not only boost revenue…