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 Salesforce’s E
What is Optical Character Recognition (OCR)? OCR, or Optical Character Recognition, is a process of recognizing text inside images and converting it into an electronic form. These images could be of handwritten text, printed text like documents, receipts, name cards, etc., or even a natural scene photograph. OCR technology has been applied to revolutionize the document management process. It is a method of digitizing the printed texts that are electronically storable, searchable and used in machine processes such as text to speech, machine translation, and text mining. OCR transforms the scanned images into fully searchable document with text content that can b recognized by the computers. Einstein Platform Services The use of AI has become increasingly prominent in business. More than six billion predictions are generated every day by Einstein AI capabilities embedded across Salesforce, putting the power of machine learning at the fingertips of millions of sales, service, mark