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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

However, data scientists should monitor results gathered through unsupervised learning. Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. Engineers can apply unsupervised learning methods to automate feature learning and work with unstructured data.

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Five benefits of a data catalog

IBM Big Data Hub

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. She also wants to predict future sales of both shoes and jewelry. Why IBM Watson Knowledge Catalog?

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Companies need help making the dream of digital transformation a reality

IBM Big Data Hub

Digital transformation drives many IT investments, with a focus on adapting to new work models and customer expectations, increasing capacity to respond to higher demand, managing growth with fewer resources, enhancing eCommerce capabilities, and supporting security and compliance requirements.

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Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

Data is equally key to segmenting customers for targeted offerings and to staying on top of the customer journey across various channels to improve call center traffic and sales. For robotic process automation (RPA), utilities are trailing 20 percentage points behind retail banking for the stages of “implementing” or “already done.”.