Bio
Giacomo Veneri (Siena on 11/17/1973) graduated in Telecommunications Engineering in 1999.
From 1999 to 2004 he collaborated with the University of Siena as an expert of Human Computer Interaction in the context of Multimedia and Bioengineering.
Since 2004 to 2006 he collaborated with major international financial institutions in the field of trading and in information visualization.
Since 2006 to 2012 Technical Director and Director of the research laboratory (accredited MIUR) of Etruria Innovation SPA. PhD graduated at the Department of Neurological Sciences, University of Siena. He is Java 7 OCA Associated, Nvidia Deep Learning, Predix, SCRUM, GreenBelt certified.
Working at Baker Hughes in the filed of AI an IOT. Author of Hands On Industrial Internet of Things.
Presentation
Artificial Intelligence at Industrial IoT
Industrial IoT is a branch of IoT including Asset Management, Remote Monitoring, Condition Based Maintenance, Service Optimisation and Manufacturing Operations applied to Industry.
Analytics are the most advanced and interesting part of IIoT. On IIoT we can identify 6 classes of analytics: 3 are general purpose and can be purely data driven (ML): Anomaly Detection, RUL and Production Prediction. 3 are industry specific and change from industry to industry: Predictive and Preventive Maintenance, KPI Performance indicator, Product Optimization. I this presentation we provide a general framework and strategy to build and deliver ML Analytics at Industry scale.
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