big-data

PM360: Four Key Questions About Data Analytics

PM360 asked experts in data analytics about how the process behind collecting and analyzing data is changing, including these four key questions:

  • How is the advancement of artificial intelligence, natural language processing, machine learning, and deep learning impacting the data analytics landscape?
  • How has the rise of concern for data privacy and the implementation of the EU’s General Data Protection Regulation (GDPR) affected pharma’s ability to collect or use data?
  • What can organizations do to help make their employees more data literate? Ultimately, how do you make everyone comfortable using data analytics?
  • What is the future of data analytics? How else is data collection, analyzation, visualization, implementation, etc., likely to change in 2019 and beyond?
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Big Pharma; Big Data: How a third party can revolutionize your data for a better tomorrow

As each industry becomes more technologically savvy, the pharmaceutical industry has the chance to emerge into the 21st century and reform how they treat patients while tackling different medical epidemics that affect the world today.

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