With cameras seemingly everywhere, facial recognition is an understandably popular application of AI in the quest for enhancing safety, security and convenience. But it’s also laced with thorny issues around privacy, ethical use and bias. In today’s episode, Anyvision CTO Dieter Joecker helps pull apart those issues, both on the technology the evolving regulations fronts.
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With cameras seemingly everywhere, facial recognition is an understandably popular application of AI in the quest for enhancing safety, security and convenience. But it’s also laced with thorny issues around privacy, ethical use and bias. In today’s episode, Anyvision CTO Dieter Joecker helps pull apart those issues, both on the technology the evolving regulations fronts.
In today’s episode we continue to focus on that very messy edge-of-network in industrial settings and how to solve this Factory-4.0 Achilles heel. Joining the discussion is PTC Kepware’s Kyle Carreau. Kepware has been solving the messy edge problem for the world of OT since well before “IoT.” Now, under the spotlight of more OT-IT convergence and real progress in deploying Industrial IoT solutions, PTC Kepware finds itself in the right place, at the right time to help solve those messy problems at the edge, both with their traditional KEPServerEX or pushing out to the very networks edge with ThingWorx Kepware Edge deployed on widely distributed industrial gateways and PC’s.
IoT at the Edge
With cameras seemingly everywhere, facial recognition is an understandably popular application of AI in the quest for enhancing safety, security and convenience. But it’s also laced with thorny issues around privacy, ethical use and bias. In today’s episode, Anyvision CTO Dieter Joecker helps pull apart those issues, both on the technology the evolving regulations fronts.
