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Former Pharma Machine Health Lead at Augury
Former VP, Head of Operations at Teva
Profit margins may allow for it, but there are significant downsides to this strategy, including safety risks, negative ESG impacts, avoidable costs, and low asset utilization.
We had Zach Gilula, Pharma Machine Health Lead at Augury and David Seignolle, former VP, Head of Operations at Teva, discussing how pharma and medical product companies can overcome their outdated cautiousness to:
Prescriptive AI machine diagnostics to predict and prevent industrial machine failure and improve machine performance.
Prescriptive AI process optimization to achieve new levels of production efficiency, yield, and sustainability (previously known as Seebo).
The first industrial-grade, edge-AI native Machine Health sensing platform infuses unmatched connectivity and safeguards into the IoT stack.