Description
IBM Watson is a data analytics processor that uses natural language processing, a technology that analyzes human speech for meaning as well as syntax.
IBM Watson Objectives :
a). Cognitive Computing and how Watson changes the game
b). Capabilities of the Watson API and how to choose the best features for your task
c). Building your own Customer Care chatbot using the Watson API
d). Extract metadata from text using Watson
e). Using Watson to get insights into the personality of your users
f). Watson as an enabler for improving Customer Experience by providing better solutions.
g). Using Watson for Computer Vision tasks and Visual Recognition to easily detect images.
1. Introduction to Cognitive Computing and Watson
a). The Course Overview
b). Review of Cognitive Concepts
c). Structure of a Cognitive System
d). Watson – Your Next AI Platform
2. Overview of Watson APIs
a). REST Diagram
b). Watson APIs
3. IBM Watson for Building Chatbox
a). Watson Assistant Training
b). Introduction to Discovery Service
c). Build Your Own Chatbox
4. IBM Watson for Understanding Text
a). Natural Language Understanding
b). Enrichments in Discovery Service
c). Find Insights from Unstructured Data
5. IBMWatson for Better User EngagementÂ
a). Personality Insights
b). Sample Use Cases
6. Watson for Computer Vision
a). Understanding Visual Recognition
b). Standard Model
c). Creating Custom Models
For more inputs on IBM Watson for Beginners you can connect here.
Contact the L&D Specialist at Locus IT.
Contact the L&D Specialist at Locus IT.
Locus Academy has more than a decade experience in delivering the training/staffing on IBM Watson for corporates across the globe. The participants for the training/staffing on IBM Watson are extremely satisfied and are able to implement the learnings in their on going projects.
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