by Michael Shanler | July 29, 2017 | Comments Off on 2 x Life Science Hype Cycles
While the spring rains drenched the northeastern U.S. and parts of Europe, Jeff, Steve, and I were hard at work authoring, arranging, writing, reviewing, re-reviewing, re-re-reviewing our content. After countless cups of coffee, our 2 x hype cycles that cover the life science industry are finally published. These docs are relevant for CIOs, IT and business leaders that run organizations at pharma, biotech, med-device, and CROs. Roles representing other highly-regulated science-based product development industries (e.g. cosmetics, nutriceuticals, food & beverage) may also find these hype cycles interesting.
Keep in mind the relationship between these two documents-
- The Hype Cycle for Life Sciences, 2017 is the over-arching hype cycle with technologies that span multiple business functions (e.g. sales, marketing, R&D, supply chain, etc).
- The Hype Cycle for Life Science Research and Development, 2017 represents a sub-set of technologies that are important for R&D (e.g. drug discovery, clinical development, regulatory submission).
~80 technologies are covered in these 2 x hype cycles. Since “life science” is a bit of a moving target and we see disruption happening on the fringe with health care industry segments, it might pay to become familiar with these other HC docs, as well:
- Hype Cycle for Healthcare Providers, 2017
- Hype Cycle for U.S. Healthcare Payers, 2017
- Hype Cycle for Digital Care Delivery Including Telemedicine and Virtual Care, 2017
Of course, there are specialty non-industry specific hype cycles, too. For example:
- Hype Cycle for Data Science and Machine Learning, 2017
- Hype Cycle for Analytics and Business Intelligence, 2017
- Hype Cycle for Hybrid Infrastructure Services, 2017
- Hype Cycle for Data Security, 2017
- Hype Cycle for Data Management, 2017
- Hype Cycle for Artificial Intelligence, 2017
- ype Cycle for Enterprise Architecture, 2017
- Hype Cycle for Discrete Manufacturing and PLM, 2017
- Hype Cycle for Process Manufacturing and PLM, 2017
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