Larry Pickett Jr., CEO of RxDataScience Inc., had a problem common to startups: running out of space. His company, which crunches data for health care providers, employed three workers on the third floor of the 800 Building at the Frontier campus, a cluster of ’80s-era buildings in Research Triangle Park first used by IBM but now converted into an entrepreneurial coworking hub.(more…)
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?