CILIP
JUNE 26, 2019
Success of AI in academic libraries depends on good underlying data. nder, scientific information specialist: Success of AI in academic libraries depends on good underlying data. Why do we hear so little in this respect from libraries on this side of the Atlantic? Q&A with Stephan Holl?nder,
IBM Big Data Hub
DECEMBER 19, 2023
It could also just be a sign that a particular marketing initiative is working. Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. However, data scientists should monitor results gathered through unsupervised learning.
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IBM Big Data Hub
DECEMBER 1, 2023
This approach can accelerate speed to market by providing enhanced capabilities for the development of innovative products and services to help grow the business, and it can also improve the overall customer experience. The supervised learning that is used to train AI requires a lot of human effort.
ARMA International
SEPTEMBER 22, 2021
Another example is when sensitive information is removed from transaction data after meeting operational requirements, but the data is kept for analytical processing such as market research and trend analysis. Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently.
IBM Big Data Hub
MAY 9, 2023
IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?
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