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Delivering responsible AI in the healthcare and life sciences industry

IBM Big Data Hub

Institutional innovation: A historical note Institutional change is often preceded by a cataclysmic event. Created by a respected Tennessee pharmaceutical firm, Elixir Sulfanilamide was a liquid medication touted to dramatically cure strep throat. And institutional innovation can play a role to help.

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National Safety Council data leak: Credentials of NASA, Tesla, DoJ, Verizon, and 2K others leaked by workplace safety organization

Security Affairs

In total, the backup stored around 9500 unique accounts and their credentials, with nearly 2000 different corporate email domains belonging to companies spreading across various industries. The vulnerability posed a risk not only to NSC systems but also to the companies using NSC services.

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Driving innovation and growth, Reltio powers into 2024

Reltio

Last year represented a watershed moment for us, with major new product launches, high-profile industry recognition, and increased growth in new customers. Product and AI Innovation Last year was marked by our continued success in rapidly delivering tailored solutions to customers across industries. As measured by revenue, as of 2024.

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Google warned users of 33,015 nation-state attacks since January

Security Affairs

The IT giant pointed out that major events like elections and COVID-19 represent opportunities for threat actors. government agencies have warned about different threat actors, and we’ve worked closely with those agencies and others in the tech industry to share leads and intelligence about what we’re seeing across the ecosystem.”

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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. Efficient clinical trial site selection continues to be a prominent industry-wide challenge.

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Redefining clinical trials: Adopting AI for speed, volume and diversity

IBM Big Data Hub

Industry analysts report that dropout rates in phase 3 clinical trials can sometimes reach 20% to 30%. Learning from historical protocol data and using synthetically generated scenario events to optimize inclusion and exclusion criteria can be powerful for achieving efficient trial design.

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The most valuable AI use cases for business

IBM Big Data Hub

They can also help businesses predict future events and understand why past events occurred. 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.