Hadi Ganjineh is VP of IT & Innovation at Super Energy Corp, Keynote Speaker and Startups Group Member Leader in Forbes Technology Council. Read Hadi Ganjineh's full executive profile here.
is VP of IT & Innovation at Super Energy Corp, Keynote Speaker and Startups Group Member Leader in Forbes Technology Council.In today’s fast-paced technological landscape, the convergence of artificial intelligence and edge computing is paving the way for unprecedented advancements in various industries. These innovations enable real-time analytics and decision-making, which is critical for modern businesses aiming to enhance efficiency and reduce operational costs.
For example, consider a manufacturing plant where machinery operates continuously. By embedding AI algorithms within local devices, the plant can monitor machinery in real time, detecting anomalies and making adjustments instantly. This localized processing capability is crucial in environments where split-second decisions are necessary to maintain productivity and safety.
Traditionally, maintenance was either reactive or scheduled . Both methods can be inefficient: Reactive maintenance leads to unplanned downtime, while scheduled maintenance can result in unnecessary servicing. AI algorithms analyze this data to detect anomalies and predict potential issues. For instance, in the marine industry, sensors on vessels monitor parameters like engine performance, fuel levels and navigation data. This information is analyzed in real time to ensure the vessel operates optimally and safely. Should an anomaly be detected, remote diagnostics enable technicians to troubleshoot and resolve issues without needing to be on-site, saving time and reducing costs.
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