Examples Manufacturing Retail Unstructured data 
IBM Big Data Hub
FEBRUARY 14, 2024
For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. For example, a supply-chain function can use algorithms to predict future needs and the time products need to be shipped for timely arrival. Routine questions from staff can be quickly answered using AI.
IBM Big Data Hub
SEPTEMBER 19, 2023
Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.
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IBM Big Data Hub
DECEMBER 19, 2023
Anomaly detection simply means defining “normal” patterns and metrics—based on business functions and goals—and identifying data points that fall outside of an operation’s normal behavior. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given.
IBM Big Data Hub
SEPTEMBER 13, 2023
For example, when a customer contacts the business via chat, email or social media, that text or voice recording is unstructured data that needs to be collected and analyzed as part of the interaction. Dublin-based Glen Dimplex has sales, manufacturing and distribution facilities around the world.
IBM Big Data Hub
SEPTEMBER 19, 2022
Smart grids, which include components like sensors and smart meters, produce a wealth of telemetry data that can be used for multiple purposes, including: Identifying anomalies such as manufacturing defects or process deviations. Inventory optimization (in retail). Supply chain optimization (in manufacturing).
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