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FAIR Data Principles in Life Sciences: A case for Data Intelligence Cloud

Collibra

By adopting FAIR Data Principles, life sciences firms (pharmaceuticals, biotech, medical device manufacturers) can accelerate data sharing, improve data literacy (understanding of data) and increase overall transparency and auditability when working with data. How Collibra Data Intelligence Cloud can help.

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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. The Collibra Data Intelligence Cloud advantage. Lack of data management and poor-quality data drives up costs and risks.

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Breaking Down Barriers: Data Quality as a Driver for Pharma Transformation

Reltio

But leaning on data and moving it to the cloud is only one part of a bigger story. In this blog post, we explore the significance of data quality in the pharmaceutical industry and explain how a modern MDM platform serves to address these challenges.

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Intelligent Search – Strategies to Find What You Need

AIIM

For many organizations, especially those in jargon-intense fields like the Oil and Gas, Pharmaceutical, or Healthcare industries, “speaking the right language” goes well beyond standard search terms. Searching Intelligently. As the value of information continues to evolve, Intelligent Search has never been more important.

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Enterprise Architecture: Secrets to Success

erwin

Technology Disruption : How do we focus on innovation while leveraging existing technology, including artificial intelligence, machine learning, cloud and robotics? Emerging Markets : What opportunities align to our business (e.g., managing risk vs ROI and emerging countries)?

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STEPS FORWARD: Math geniuses strive to make a pivotal advance — by obfuscating software code

The Last Watchdog

Our top math geniuses point to iO as a cornerstone needed to unleash the full potential of artificially intelligent (AI) programs running across highly complex and dynamic cloud platforms, soon to be powered by quantum computers. The math community refers to this bottleneck as “indistinguishability obfuscation,” or iO.

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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.