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Generative AI is pushing unstructured data to center stage

CIO Business Intelligence

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

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AI and generative AI are revolutionizing manufacturing…here’s how

CIO Business Intelligence

Manufacturing has been a longstanding pillar of progress for humankind. From the Industrial Revolution over 200 years ago to today, manufacturing has had a profound impact on our lives, made possible by its unrelenting innovation. Supply chain management Manufacturing can benefit from more predictive supply chain management.

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The Rise of Unstructured Data

Cloudera

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Here we mostly focus on structured vs unstructured data.

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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.

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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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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America.

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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.