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Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.
This keeps maintenance information in one place and easily accessible to workers who must use it to perform regular maintenance activities like forecasting and replenishment. WiFi-enabled tracking: WiFi-enabled tracking systems use a tag affixed to an asset to broadcast a variety of information about it over a local WiFi network.
By coupling asset information (thanks to the Internet of Things (IoT)) with powerful analytics capabilities, businesses can now perform cost-effective preventive maintenance, intervening before a critical asset fails and preventing costly downtime. Reduced maintenance costs and downtime: Monitor assets in real time, regardless of complexity.
Jai Menon has joined Skylo, a narrow-band satellite communications provider that targets IoT applications, as CIO. In his 20 years’ experience in IT, Verma has led work on security, risk compliance, IoT, RPA, cloud, and business continuity planning. He was CTO at L&T Financial Services before joining Poonawalla.
Predictive maintenance constantly assesses and re-assesses an asset’s condition in real-time via sensors that collect data via IoT. Historical and real-time data collected from IoT devices and analytical and diagnostic tools can help extend asset uptime. Each offers unique strengths and are upgrades on their predecessors.
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