Podcast E026 | Anomaly Detection with IoT | Ira Cohen, Founder & Chief Data Scientist, Anodot

Podcast E026 | Anomaly Detection with IoT | Ira Cohen, Founder & Chief Data Scientist, Anodot

#IoTFounders | E026

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On this IoT For All podcast episode, we take a technical deep dive into anomaly detection, discuss real-life Industrial IoT (IIoT) use cases and learn about Anodot’s Autonomous Analytics platform.

Ira Cohen, Co-founder and Chief Data Scientist of Anodot, joins us to explain the basics of anomaly detection. He shares why Anodot’s Autonomous Analytics platform was created and how it works. We share various IIoT use cases for anomaly detection including automotive manufacturing. Finally, we wrap up by providing insight into the pain points the C-suite experiences when adopting IoT technologies.

If you’re interested in connecting with Ira, you can find him on Twitter and LinkedIn!

About Anodot: Anodot’s Autonomous Analytics platform leverages advanced machine learning techniques to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts, lowering time to detection and resolution. Our leading-edge, patented technology is trusted by clients in industries ranging from eCommerce to fintech, adtech, telco, gaming and more. Anodot is headquartered in Silicon Valley and Israel, with sales offices worldwide.

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