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The benefits of AI in healthcare

IBM Big Data Hub

Artificial intelligence is used in healthcare for everything from answering patient questions to assisting with surgeries and developing new pharmaceuticals, benefitting both patients and healthcare systems. How does artificial intelligence benefit healthcare?

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The most valuable AI use cases for business

IBM Big Data Hub

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? 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.

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Takeaways from Forrester’s Latest Report on Enterprise Architecture Management Suites

erwin

EA has re-emerged to help solve compliance challenges in banking and finance plus drive innovation with artificial intelligence (AI), machine learning (ML) and robotic automation in pharmaceuticals. Select Enterprise Architecture Vendors Based on Size and Functionality. Why erwin for Enterprise Architecture?

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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. You can say to the world that your AI models are fair, but you must make sure that you train and audit your AI model to serve the most historically under-served populations.

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Regulatory Update: NAIC Summer 2020 National Meeting

Data Matters

The current draft of the FAQ document addresses topics such as general background, the intersection of state insurance regulation and federal securities law regulation, how to satisfy the best interest standard of conduct, and insurer supervision and training requirements. NAIC Adopts Artificial Intelligence Principles.

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Business of Data – issue 6

Information Matters

The law firm is developing its own artificial intelligence platform, called TermFrame, to extract, review and analyse contract risks. Detailed demographic and diagnostic data can be personal and used in a host of ways from clinical decision support systems to training machine learning algorithms.

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AI and Trust

Schneier on Security

Two, that the confusion will increase with artificial intelligence. It’s not so much that I trusted the particular pilot that flew my airplane, but instead the airline that puts well-trained and well-rested pilots in cockpits on schedule. We won’t know how they are trained. How it is trained.