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Digital Health Transformation: A Practical Guide for Life Sciences Companies

Data Matters

In 2022, many if not most pharmaceutical, medical device, and other life sciences companies established strategies to innovate digital health technology complementary to their existing strategic focus. The post Digital Health Transformation: A Practical Guide for Life Sciences Companies appeared first on Data Matters Privacy Blog.

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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. Clinical Trials. 2019;16(2):183-193.

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Enterprise Architecture: Secrets to Success

erwin

data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)? Compliance and Legislation : How do we manage uncertainty around legislative change (e.g.,

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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. See IBM Watson Assistant in action and request a demo The post The benefits of AI in healthcare appeared first on IBM Blog.

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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. Learn how to weave responsible AI governance into the fabric of your business The post Delivering responsible AI in the healthcare and life sciences industry appeared first on IBM Blog.

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The most valuable AI use cases for business

IBM Big Data Hub

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

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Privacy and Cybersecurity Top 10 for 2018

Data Matters

The Relentless Rise of Big Data and AI. As big data and AI make our lives easier and more of our quotidian activities are pushed online, cybersecurity and privacy issues will continue to be business enablers or business roadblocks. The Internet of Bodies.