Most healthcare data, particularly longitudinal EMR and unstructured data, is highly complex and was not collected for research. Many organizations are spending 80% of their effort manually cleaning data rather than generating insights. For organizations to realize the value of their data, they need automated solutions to easily structure, normalize, de-identify, and transform disparate data sources into analytics-ready output.

Join this webinar to gain the unique perspectives of Georg Turi, a product portfolio leader and Bioinformatician, with over 23 years of experience in Health Data Science and platform solutions, Dr. Calum Yacoubian, a medical doctor with over five years of experience working with Natural Language Processing in clinical data, and Maciej Piotrowski, an Enterprise Architect with 20 years' experience in deriving value out of data as they explore solutions to the most important challenges in healthcare data transformation and artificial intelligence.

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