During our earliest look at Watson, we asked, how do we get our knowledge into the system? Update it? Set up maintenance? Obvious question. Too hard, expensive. Especially information that was the result of other analytics, and had to be dynamically prepared and extracted for use. Seems its finally here with the Watson Knowledge Catalog. See the intro article below, am examining.
Introducing IBM Watson Knowledge Catalog in Medium
Michael Tucker
Senior Offering Manager at IBM
Buying food hasn’t always been the easiest thing to do. Up until the early 1900s, there was not a one-stop shop to purchase your food and drinks. A person went to their local bakery for bread, a butcher for meat, and milk delivered by the milkman. This made the food-shopping task laborious, often times taking an entire day or more, depending on if a person had to go across town for some items. In 1916, to the applause of many, the concept of a supermarket was introduced. This revolutionized way of grocery shopping reduced the task of buying food from days to minutes or hours, helping people make more efficient use of their time.
Do your analysts, data scientists, and knowledge workers have the same “supermarket experience”with your enterprise data? Introducing IBM’s Watson Knowledge Catalog, an intelligent cataloging service that allows you to bring together and prepare analytic assets, including machine learning models and structured and unstructured data, wherever they live (on-premise or in the cloud), to turbocharge your Data Science, Machine Learning and AI. This enables your teams to quickly find information assets in a self-service manner, pull those assets into Data Science or Data analytic tools, and drive productive use and meaningful outcomes faster than ever before. ... "
Note the connection to:
Watson Studio
Build, train, deploy and manage AI models, and prepare and analyze data, in a single, integrated environment. .... "
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment