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- Philippe Page
- Haydar Majeed
- Rieks Joosten
- Lucy Yang
- Sal D’Agostino
- Zan McNaught
- Mike Bennett
- Colin Wallis
- John Walker
- Mark Lizar
- Burak Serdar
- Scott Whitmire
- Dennis Landi
- Darrell O'Donnell
- Kalyan Kulkarni
- Zeljko Milinovic
- Crt Ahlin
- Davide Calvi
- James Hazard
- Michael Corning
- Carsten Stöcker
- Juan Caballero
- Jim St.Clair
- Eric Drury
- Nathan George
- Jan Lindquist
- Vipin Bharathan
- Kamlesh Nagware
- Vinod Panicker
- Steven Milstein
- Vitor Jesus
- Iain Henderson
- Casandra Grundstrom
- George Aristy
- John Wunderlich
- Joaquin Salvachua
- Andre Kudra
- Marie Wallace
- Wayne Chang
- Drummond Reed
- Georg Philip Krog
- Wenjing Chu
- anadi pandharkar
- Dixon Siu
- Christoph Fabianek
- Dominic Wörner
- Ozlem Ulgen
- Krishnan Mohan
- Rohan Pinto
- Mukundan Parthasarathy
Description
The post millennial generation has witnessed an explosion of captured data points which has sparked profound possibilities in both Artificial Intelligence (AI) and Internet of Things (IoT) solutions. This has spawned the collective realization that society’s current technological infrastructure is simply not equipped to fully support de-identification or to entice corporations to break down internal data silos, streamline data harmonization processes and ultimately resolve worldwide data duplication and storage resource issues. Developing and deploying the right data capture architecture will improve the quality of externally pooled data for future AI and IoT solutions.
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