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TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Big Data Hub

In addition, cloud ERP solutions enable SMEs to enhance their overall productivity by reducing manufacturing time. TDC Digital caters to small factories, such as rolling door manufacturers, who use their platform to monitor their stock and production flow.

Cloud 78
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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

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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The most valuable AI use cases for business

IBM Big Data Hub

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

These developments have accelerated the adoption of hybrid-cloud data warehousing; industry analysts estimate that almost 50% 2 of enterprise data has been moved to the cloud. In addition, companies have complex data security requirements. What is holding back the other 50% of datasets on-premises?

Cloud 57
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Preparing for Litigation Before it Happens: eDiscovery Best Practices, Part Two

eDiscovery Daily

Craig Bayer, the principal of legal document management firm Optiable , put it best when he said to me that “A DMS is not an enterprise data organization solution.”. IG, or as it’s also known data governance, is basically a set of rules and policies that have to do with a company’s data. Providing accurate, consistent data.

IT 31
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. That’s where data science comes in.