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How to Drive Digital Transformation in Life Sciences
Digital transformation is key to harnessing the potential of data generated by life sciences organizations using AI, machine learning, and emerging technologies.
Life sciences organizations generate vast amounts of data from diverse sources, including clinical trials, genomics, real-world evidence, and patient monitoring. The data is key to unlocking some of the biggest questions facing the life sciences industry, but organizations need to harness the data using a robust integrated data strategy. Unfortunately, legacy data systems and architectures are not designed for the questions of today, leaving organizations without the capabilities to leverage the power of artificial intelligence, machine learning, and interoperability frameworks, as well as emerging digital technologies. Life sciences organizations must foster a culture of digital innovation to stay ahead of the curve and provide a secure, collaborative environment for innovation.
Learn how to establish an integrated data strategy to accelerate drug discovery, improve data storage scalability, enhance remote patient monitoring, optimize manufacturing processes, and enhance data security across the value chain.
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NTT DATA is a 30 billion dollar trusted global innovator of IT and business services. They help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. NTT DATA is committed to their clients’ long-term success and combine global reach with local client service in over 80 countries.
