Data Challenges & Opportunities for Pharma

Posted April 1, 2022 | Industry | Technology | Amplify
Jacek Chmiel examines current challenges in the data processing space. He outlines the issues stemming from multiple health data standards, the need for more developed data quality processes, and the industry’s perhaps unnecessary aversion to data streaming. Chmiel offers hope in the form of federated analytics and federated learning to allow more collaborative data processing between countries and proposes increased use of automation. He also advocates for employing publicly and commercially available data sets and looks at how natural language processing, machine learning, and quantum computing are the future of data-driven pharma.
About The Author
Jacek Chmiel
Jacek Chmiel is head of Avenga Labs, a division of Avenga focused on technology research and trend analysis as well as innovative, technology-oriented proof-of-concept projects with business partners. He is a technology evangelist and a well-known keynote speaker and presenter at some of the most prominent tech conferences all over Europe. Over the course of his 26 years’ experience, Mr. Chmiel has been an insider into strategy and business… Read More
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