The rapid adoption of IoT applications and the maturation of IoT networks have garnered AI / ML much-needed attention. The computational power and pattern recognition capabilities of AI/ML enable people to extract actionable intelligence from vast amounts of data. This actionable intelligence from the IoT devices enables companies to avoid unplanned downtime, increase operating efficiency, spawn new products and services faster, and enhance risk management.
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It’s no secret IIoT can generate incremental revenue for aftermarket services and increase customer lifetime value. In this current economic climate, though, many companies are looking at IIoT to deliver Everything as a Service (XaaS) or outcomes-based sales for the first time. It’s a counter punch; at a time when revenue’s been disrupted, XaaS with IIoT is a way to create predictable revenue and margin.
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Nozomi Networks Labs latest OT/IoT Research Report takes a deep look the latest attacks on critical infrastructure, along with OT/IoT device vulnerabilities, and cyber threat remediation strategies.
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Allied Automation
Because of this, customers are looking to use this technology in IIoT to gain access to data, connect distributed devices, and combine this new data and connectivity with Machine Learning and Artificial Intelligence to unlock deeper insights. We have teamed up with Microsoft to explore this topic and bring you a one-hour webinar on the Microsoft IoT Edge and Machine Learning on IIoT Edge Gateways.
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