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Data Intelligence and Its Role in Combating Covid-19

erwin

Free Resources : Check out the erwin Rapid Resource Center for free access to our online product training and other materials to help you navigate the COVID-19 crisis. Privately it will come from hospitals, labs, pharmaceutical companies, doctors and private health insurers. Unraveling Data Complexities with Metadata Management.

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Data catalogs, data governance, and the journey to data intelligence

Collibra

Data governance is the process of managing data as a strategic asset so it is accurate, accessible, secure, and consistent. Learn how Definity Financial, a group of innovative property and casualty insurance companies, put their organization on the fast track to data intelligence with the power of Collibra Data Catalog and Google Cloud.

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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Generative AI can produce high-quality text, images and other content based on the data used for training. We’re all amazed by what AI can do.

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Kodak Alaris Launches New Network Scanning Solutions, Placing Channel Partners on Fast Track to Growth

Info Source

End users simply scan a smart set-up sheet provided by the partner and they are up and running with no training required, which slashes upfront and ongoing management costs. INfuse offers enterprise-level security, including a separate data path and control path to isolate confidential content for secure transmission.

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The 7 most common data quality issues

Collibra

Incomplete or inaccurate data, security problems, hidden data – the list is endless. As training data, it can also produce skewed ML models. Incorporate metadata to describe and enrich data in the context of who, what, where, why, when, and how. But they struggle with data quality issues all the time. Finally, tools.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Each IBM-trained foundation model brings together cutting-edge innovations from IBM Research and the open research community.