Transforming Manufacturing And Energy With AI And Data Analytics

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Christine Boles News

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Vice President Network and Edge Group, General Manager Federal & Industrial Solutions at Intel Corporation. Read Christine Boles' full executive profile here.

Data is a driving force in the constantly evolving worlds of manufacturing and energy. Artificial intelligence , powered by data analytics, is poised to transform these industries, fueling unprecedented efficiency, sustainability and innovation levels.

To truly become data-driven, organizations must approach this transformation thoughtfully. It requires a data-driven culture with clear goals, a relentless focus on data quality and robust governance policies. Implementation demands a systematic approach: Assess your data needs, optimize collection and integration processes, invest in the right tools and develop the necessary data science skills.

Using AI-driven machine vision systems fueled by this data, you can meticulously inspect WIP production and finished goods and detect the tiniest flaws that would easily escape human eyes. This ensures exceptional quality and maximizes production yield. Beyond defect detection, AI analyzes production line data to identify bottlenecks and inefficiencies. By optimizing these processes, manufacturers can streamline production and reduce waste.

 

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