Joseph A. di Paolantonio performs research and consults at the convergence of the Internet of Things (IoT) with data management and analytics (DMA). Leveraging a career that started with renewable energy research in graduate school and industry, developing risk assessment models and algorithms for aerospace systems using a combination of Empirical Bayes and Bayesian Weighted Variables, and managing teams for enterprise data warehousing, business intelligence and data science, Mr. di Paolantonio is defining sensor analytics ecosystems to bring value from the IoT. He has led teams to incorporate RFID data into supply chain data architectures and business intelligence systems in 2000, and by 2007 were incorporating smart everything data in projects for transportation, energy, telecommunications, networking and logistics. Mr. di Paolantonio was the principal investigator on three awarded SBIR grants using his Bayesian methodology to set the inspection schedule the Space Shuttle Main Engines (Phase 2 award became BayLife), combined with Monte Carlo simulation to evaluate survivability of transportation systems in extreme environments (Phase 2 became RAMsim), and combined with FMCA/CCA to design sensors for predicting helicopter gearbox failures. He has worked at the C-level and continues to consult to executives and board of directors. Joseph is a long-time member of the Boulder BI Brain Trust (BBBT) and the on the advisory board of the BBBT. He is a frequent speaker, panel member and moderator on sensor analytics ecosystems, IoT, Industrial Internet, Data Science and OpenSource, including webinars, and events such as CoudExpo, @ThingsExpo, Dreamforce, Rutberg Summit, OSTT, and OSBC. Joseph blogs at The TeleInterActive Press, tweets as @JAdP, and writes and speaks on the solution spaces forming sensor analytics ecosystems.