Remove Big Data Remove Compliance Remove Pharmaceuticals
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Lilly revolutionizes clinical trials with intelligent sensor cloud

CIO

Defined as quantifiable and objective behavioral and physiological data collected and measured by digital devices such as implantables, wearables, ingestibles, or portables, digital biomarkers enable pharmaceutical companies to conduct studies remotely without the need for a physical site.

Cloud 148
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The rise of the data lakehouse: A new era of data value

CIO

The giant pharmaceutical chain had put its lakehouse in place to address just such challenges in its quest, to, as Guadagno puts it, “To get the right product in the right place for the right patient.”. One reason: Keeping sensitive healthcare data within specific countries is important for regulatory reasons.

Data 210
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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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Enable Transparent Tracking with NextGen Technologies for Cold Chain Logistics

Trigent

For the range of supplies labeled as perishables, particularly pharmaceuticals and food (produces), quality expires with time as they maintain chemical reactions, which can mostly be alleviated with lower temperatures. The use of real-time data enables real-time analytics and response. Every delay can have negative consequences.

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How manufacturers can unlock new value from existing data

CIO

The company’s data fabric has also laid the foundation for real-time services to improve driver safety as well as drive maintenance efficiency for vehicles in the field. Improved safety and compliance Manufacturers in fields like pharmaceuticals and food are keenly aware of the need to keep their customers safe.

Data 78
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Can data drive more successful R&D in life sciences?

Capgemini

Conduct clinical trials and manage risks that may be presented, collect and process data, and ensure regulatory approvals and compliances. The availability of big data tools and data sciences with their potential to unlock the R&D process makes these skills even more critical.

Data 98
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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Regulatory Framework References - Specify relevant regulatory frameworks or compliance requirements - Example: "What [Regulation] compliance requirements are specified for [specific process]?" He collaborates closely with enterprise customers building modern data platforms, generative AI applications, and MLOps.