Salesforce Platform Einstein

What is Einstein NER(Beta) ? NER, or Named Entity Recognition, is a process of recognizing/extracting/classifying named entities from simple text into meaningful categories like person, organization, email, phone etc. The input to the NER model is unstructured text, and after processing it identifies entities within that text.  Einstein Platform Services Einstein Platform Services brings a wide variety of machine learning capabilities — such as image recognition, sentiment, intent and more — directly into Salesforce’s trusted and secure infrastructure. You can simply deploy these services using a single line of code into any Salesforce page or build a reusable AI-powered Lightning Web Component. Once the details are worked upon, admins can easily deploy to end-users with just a few clicks. An interesting fact about this is that you wouldn't need any model setup, training or data science skills to work on Einstein NER. Named Entity Recognition(Beta) is new addition to Sale...

What is Einstein Platform Services? Einstein Platform Services allows developers to develop AI-powered custom models which can be used to solve an array of real-life use-cases. It empowers developers with a powerful set of Application Programming Interfaces (APIs) for building intelligent and predictive app experiences. Today, Einstein Platform Services include: Einstein Image Classification (Einstein Vision) Einstein Object Detection (Einstein Vision) Einstein Intent (Einstein Language) Einstein Sentiment (Einstein Language) These services enable developers to create custom deep learning models from unstructured text and image data, which can be trained, refined and used for building intelligent apps. Create, Train and predict Using Einstein Platform Services is a simple 3 steps process, you need to create and upload dataset like text and image data, which can be used for training a model. Once the dataset is uploaded it can be used to train the model. This traine...

Salesforce Einstein Vision gives you a set of powerful API's that can be used to bring image recognition capabilities into your CRM application.  Image recognition can be used for Visual search, Brand detection, Product identification and many more. With Salesforce Einstein Vision, you can leverage pre-trained image classifiers, or train your own custom classifiers to solve a vast array of image-recognition use cases, empowering end users across sales, service, and marketing to be smarter and more predictive. What is Feedback loop? A feedback loop refers to the process by which an AI model’s predicted outputs are reused to train new versions of the model. Salesforce Einstein Vision Platform provides set of powerful APIs for  adding feedback loop which improves the image classifier's prediction capabilities by using the model's misclassified images to train new versions of the model. Why we need Feedback loop? In today's world every industry uses feedback loo...