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How to protect healthcare and life-sciences data from a cyber attack pandemic

Thales Cloud Protection & Licensing

The Covid-19 pandemic has put this trend on overdrive, driving the adoption of connected health technologies that make a wide range of virtual care services possible. Read our eBook to learn how to continue to adopt innovations such as cloud, big data, AI, and IoMT while automating and streamlining data protection and simplifying compliance.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement. The ability to seize these advantages is one way that pharmaceutical companies may be able to gain sizable competitive edge.

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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. ” Michael L.,

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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Welcome, Chris Hylen! Reltio’s New CEO.

Reltio

In 2011, I saw three major trends: . First, big data infrastructure capabilities were quickly advancing and starting to become mainstream. . It will be a full-time role with functional responsibility for all of our product technology across engineering, product management and security. . Let’s take a step back in time.

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Privacy and Cybersecurity Top 10 for 2018

Data Matters

This past year was marked by ever more significant data breaches, growing cybersecurity regulatory requirements at the state and federal levels and continued challenges in harmonizing international privacy and cybersecurity regulations. We expect each of these trends to continue in 2018. The Relentless Rise of Big Data and AI.

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12 considerations when choosing MES software

IBM Big Data Hub

Data analytics and reporting: The MES software should provide comprehensive analytics and reporting capabilities, allowing you to track and analyze KPIs, production trends and efficiency metrics. Compliance and security: For industries with strict regulatory requirements (e.g., pharmaceuticals, aerospace, etc.),