Remove Efficiency Remove Engineering Remove Pharmaceuticals
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The Importance of Having a Big Data Strategy for Pharmaceutical Organizations

Infosys Consulting

Improved efficiency: Organizations can improve data quality, minimize duplication, and streamline their data management procedures by establishing a data strategy. This results in increased operational effectiveness, cost savings, and more effective resource management.

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Perficient Recognized in Forrester’s AI Services Landscape

Perficient Digital Transformation

The continual evolution of these technologies has empowered businesses to leverage advanced algorithms, predictive modeling, and generative capabilities, driving unprecedented innovation and efficiency. According to Forrester, “These are the business scenarios that buyers most frequently seek and expect AI services providers to address.”

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Nearshoring to Mexico: Benefits and Opportunities

Zinnov

These initiatives by tech giants reflect a strategic shift toward nearshoring to mexico, a crucial approach for North American companies seeking efficiency, quality, and speed. business centers further facilitate real-time communication and operational efficiency. Aligned time zones with U.S.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Business Partners

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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The Synergy of Digital Transformation: Navigating AI, Cloud, and Industry 4.0 

Zinnov

Key Trends and Challenges in Digital Transformation The Rise of Artificial Intelligence AI is revolutionizing industries, boosting efficiency and sparking innovation. Its importance is clear: Zinnov’s 2023 Digital Engineering Report shows 83% of companies prioritize AI in their business plans , while 90% use it for personalization.

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

IBM Services

Successful clinical studies hinge on efficiently recruiting and retaining diverse participants. 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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Our experiences with XOps in life sciences

Capgemini

Pharmaceutical companies have been able to assemble biomedical knowledge graphs out of the known links between diseases, treatment drugs, and proteins and genes. We then train them in important disciplines, such as manipulating and analyzing data, modeling, software engineering, and architecture.