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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

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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. Then imagine the insights that are locked in that massive amount of data. Ensure content can be reused within the data hub to support pharmaceutical use cases.

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Data Analytics in Pharma: How Pfizer, Moderna, and Others Innovate Drug Development

AltexSoft

Now, that you know key areas where data analytics could bring additional value let’s move to real-life success stories. Revolutionizing cardiovascular trials: AstraZeneca AstraZeneca , a global pharmaceutical manufacturer and biotechnology company, has the ambition to revolutionize clinical trials with AI.

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How to get powerful and actionable insights from any and all of your data, without delay

Cloudera

No longer would real-time data become stale before it landed in the hands of analysts and business innovators. A pharmaceutical and life science company struggled in their research department. They were not able to quickly and easily query and analyze huge amounts of data as required.

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How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Cloudera

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

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Top Use Cases for Data-Driven Strategic Services

Precisely

Delivering With Focus: Becoming a Data-Driven Organization The world’s largest manufacturer of private label, over-the-counter (OTC) pharmaceuticals and healthcare products wanted to standardize and normalize its data to create a common catalog of data assets across all of its transactional and analytical systems.

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Artificial Intelligence (AI) vs Automation: What’s the Difference?

Knowledge Hut

Artificial Intelligence AI systems are adept at mimicking human intelligence, be it problem-solving, understanding complex data, reasoning, or learning. They can also work with unstructured data (like emails, feedback, webpages, images, videos, etc.) and recognize patterns. The list doesn’t end here.