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Real time decision making in industrial sector

Service description

We offer AI-driven solutions that enable real-time decision-making in industrial environments by analyzing live data from operations. This service enhances responsiveness, optimizes workflows, and improves operational efficiency by providing actionable insights for swift, informed decisions.
Expected results: Quicker, data-driven decisions, optimized production and operational workflows, enhanced agility, reduced response times to issues, and improved overall efficiency through real-time insights.
Methodology: Assessment: Evaluate existing decision-making processes in industrial environments, focusing on response times, data accessibility, and automation opportunities.
Needs Analysis: Assess decision-making points in the production process that require real-time inputs.
Data Collection: Integrate sensors and IoT devices to collect live operational data.
AI Analytics: Develop AI models to process and analyze data for immediate insights.
Deployment: Implement real-time decision-making dashboards for operators and managers.
Continuous Improvement: Use real-time feedback and performance metrics to refine decision models and improve outcomes.
Target: Manufacturing & Automotive
  • Organisation: REPLY
  • Type: Experiment
  • SUT/E: Predictive AI models
  • Average duration: 4.0 -- 6.0 months
  • Contact: m.diflorio@reply.it

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Co-Funded by the European Union Under grant agreement number 101100707

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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