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Data Intelligence and Its Role in Combating Covid-19

erwin

Privately it will come from hospitals, labs, pharmaceutical companies, doctors and private health insurers. Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Data cataloging to capture object metadata for identified data assets.

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Delivering responsible AI in the healthcare and life sciences industry

IBM Big Data Hub

Created by a respected Tennessee pharmaceutical firm, Elixir Sulfanilamide was a liquid medication touted to dramatically cure strep throat. Outputs for these high-risk models should offer test-retest reliability. The metadata should also show how a user can opt out of using that model (and get the same service elsewhere).

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7 Benefits of Metadata Management

erwin

Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.

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SILENTFADE a long-running malware campaign targeted Facebook AD platform

Security Affairs

The attackers primarily ran malicious ad campaigns, often in the form of advertising pharmaceutical pills and spam with fake celebrity endorsements.” This use of compromised credentials runs the risk of encountering accounts that are protected with two-factor authentication, which SilentFade cannot bypass.”.

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Mastering healthcare data governance with data lineage

IBM Big Data Hub

Conversely, confidence in the accuracy and consistency of your data can minimize the risk of adverse health outcomes, rather than merely reacting to or causing them. Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients. Instead, it uses active metadata.

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The most valuable AI use cases for business

IBM Big Data Hub

Deliver new insights Expert systems can be trained on a corpus—metadata used to train a machine learning model—to emulate the human decision-making process and apply this expertise to solve complex problems. ML algorithms can predict patterns, improve accuracy, lower costs and reduce the risk of human error.

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Speed up digital transformation and data literacy with Data Intelligence Cloud for healthcare

Collibra

Across all segments of the industry – from payer, provider, biotech and pharmaceutical – organizations are ramping up on their digital transformation initiatives with a renewed sense of urgency. Lack of data management and poor-quality data drives up costs and risks. The Collibra Data Intelligence Cloud advantage.