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Real-Time Pharmaceutical Authorization

Confluent

Use Confluent data streaming platform to enable real-time pharmaceutical approvals – with healthcare compliance, improved patient safety, and automation for greater efficiency and cost savings.

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Chugai Pharmaceutical

Teradata

Accelerating drug discovery and development with Teradata Vantage on AWS.

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Data Science in Pharmaceutical Industry [Use Cases + Examples]

Knowledge Hut

The pharmaceutical industry is one of the most innovative and competitive industries in the world. The pharmaceutical industry according to report has made a jump from $40 billion in 2021 to an expected $130 billion in 2030, with projections hitting $450 billion by 2047. which help improve decision-making processes.

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Drug Discovery with Gen AI for faster, Safer Pharmaceuticals

RandomTrees

A ground-breaking technology called Generative Artificial Intelligence (Gen AI) is revolutionizing the pharmaceutical sector. The article looks at how Gen AI transforms the drug discovery process as well as its applications, benefits, challenges, and what future it hopes to see in pharmaceutical innovation.

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Turning petabytes of pharmaceutical data into actionable insights

Cloudera

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Ensure content can be reused within the data hub to support pharmaceutical use cases. Imagine storing the DNA of the entire population of the US – and then cloning them, twice.

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Cloudera at BioData World Congress 2020 – Use Cases at Top 5 Pharmaceutical Organizations

Cloudera

I’m excited to be presenting at BioData World with Mark Ramsey, PhD , Managing Partner, Ramsey International, about Cloudera’s role in life sciences and use cases at top 5 pharmaceutical organizations on November 11, 2020, at 9:50 am ET. . If you plan to attend, w e look forward to speaking with you next week.

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Accelerating Drug Discovery and Development with DataOps

DataKitchen

Pharmaceutical companies are finding that DataOps delivers these benefits. DataOps automation provides a way to boost innovation and improve collaboration related to data in pharmaceutical research and development (R&D). Figure 1: A pharmaceutical company tests 50,000 compounds just to find one that reaches the market.