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Today, collecting and monitoring sensor data is no longer enough to have highly efficient operations or meet advanced methodologies like Industry 4.0. To achieve these goals, larger and more specific data must be collected and analyzed with advanced methods like Machine Learning and Artificial Intelligence. Across all industries, Edge 2.0 is starting to provide actionable, mission critical insights including Failure Predictors, Intelligent Maintenance, Process Optimization, and Logistical Planning to name a few. And, looking forward, we expect to see more development of domain and process-specific AI, refinement of highly efficient algorithms and the introduction of faster purpose-specific hardware. This will result in more of a shift towards data collection and analysis on the edge as well as more in-depth insights generated faster. Attend this session to hear about the current and future state of ML and AI.
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