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This tutorial introduces fine-grained access control within IBM Watson Assistant. Give your collaborators access roles that set different levels of permissions.

IBM Watson Assistant is a conversational AI platform that enables you to build, train, and deploy conversational interactions into any application, device, or channel:
https://ibm.biz/Bdq486

This video shows you how to run an AutoAI experiment based on a sample, and create a Watson Machine Learning Model in Watson Studio (updated).

Find more videos in the IBM Watson Data and AI Learning Center at http://ibm.biz/learning-centers

Learn how to use Watson Assistant's Versions feature. This tutorial will walk you through how to manage changes more effectively by taking snapshots of a skill, while editing another version.

To simplify the path toward enterprise AI, organizations are turning to IBM Watson Studio and Watson Machine Learning. Learn more: https://ibm.co/2VTawy6

Together with IBM Watson Machine Learning, IBM Watson Studio is a leading data science and machine learning platform built from the ground up for an AI-powered business. It helps enterprises simplify the process of experimentation to deployment, speed data exploration and model development and training, and scale data science operations across the lifecycle.

Lead Generation With Watson for Salesforce empowers sellers by reading the daily news to look for new sales opportunities. Discovery News ingests more than 300,000 articles daily, providing a curated set of previously untapped information where sellers can query for relevant leads, right from within Salesforce. Any leads the seller wants to pursue can be loaded directly into Salesforce Sales Cloud, saving time and improving accuracy.

Smart document understanding (SDU) allows you to train IBM Watson Discovery to interpret structural elements of complex and diverse documents, including document fields like footers and headlines as well as tables and text. Visually annotate a sampling of your documents and instantly visualize how the machine learning model will interpret your text, updating your model in real time to achieve the desired results. Use this feature across roles and use cases to reduce the time experts spend reviewing and analyzing complex documents without compromising accuracy or increasing risks. Smart document understanding in IBM Watson Discovery helps you rapidly extract new insights in context for deeper understanding, cleaner answers, and confident recommendations. 

To learn more about Watson Discovery: https://www.ibm.com/cloud/watson-discovery

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