Overview of Salesforce Data Cloud

Salesforce Data Cloud is a powerful data platform that unifies all your company’s data onto Salesforce’s Einstein 1 Platform. It provides a 360-degree view of the customer, enabling automation, analytics, personalized engagement, and trusted AI. With Data Cloud, you can connect, analyze, and act on data from both Salesforce and external sources, driving better customer…

Prediction writeback fields in Salesforce

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…

Data insights in Einstein discovery-Part 2

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…

Explore data insights in Einstein Discovery

Data insights are discoveries derived from analyzing your data. With each model iteration, Einstein Discovery meticulously examines your data, unveiling valuable insights. These insights are rapid, unbiased, and statistically significant, presented through charts and detailed explanations for easy comprehension. They serve as a launchpad for exploring the connections between your model’s input variables and its…

How Einstein Copilot works Part 2

We have learned about Einstein copilot actions in How Einstein Copilot Works part 1 – Mortgage Banking Technology | Origination Strategy Consulting (takefiveconsulting.com). The functionality of launching actions during conversations with an end user is facilitated by Einstein Copilot’s reasoning engine, otherwise called ‘planner service’. This engine orchestrates the execution of user requests through a…

How Einstein Copilot Works part 1

We have covered an overview of Einstein Copilot in Overview of Einstein Copilot – Mortgage Banking Technology | Origination Strategy Consulting (takefiveconsulting.com). This article explains how Einstein Copilot works. Einstein Copilot has three basic components: the copilot, actions, and the reasoning engine. Copilot  Einstein Copilot is an innovative conversational AI assistant seamlessly integrated into the…

Overview of Einstein Copilot

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…

How to Evaluate a model in Einstein Discovery

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…

Customizing model in Einstein Discovery

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…

CREATE A MODEL IN EINSTEIN DISCOVERY PART 2

We have discussed about how to create a model in Einstein Discovery in our previous article. As analysis and training progress, Einstein Discovery scrutinizes your data for quality concerns, including duplicate impact (known as the multicollinearity data alert), potential biases, frequent missing values, and various other data quality issues. Whenever a potential data quality problem…