OSIsoft PI System introduction seminar. Company and Product summary.
Year: 2020

Year: 2020

Advanced analytics tools and platforms allow businesses to ask more from their operational data and obtain new insights. Yet 60% of Big Data projects fail. Simply ingesting raw operational data into your favorite business intelligence tool or data lake creates significant challenges and barriers to success. Problems with data access, data quality, data structure, and outputs from “black boxes” typically lead to unreliable conclusions or predictive algorithms that are never adopted. In this session, we’ll cover the challenges of using new analytics tools with operational data; share how the PI System and the PI Integrators deliver analytics-ready data; show how subject matter experts in operations can easily curate data that can be understood by business and IT operations; and demonstrate how the 3rd party advanced analytics tools from Amazon, SAP, and Microsoft, can consume the data for trusted and quality analytics.
Year: 2019

In Part 2 of this technical keynote, we will focus on how the PI System helps you to resolve the challenges of OT/IT integration in your digital transformation. As an open data infrastructure for OT (operations technology) the PI System is part of your overall enterprise IT landscape. We will cover PI System's role in any OT/IT initiative as you automate or change an existing business process - and need to map legacy asset or newer IoT instrument/sensor time-series data to transactional ERP/EAM systems (SAP, IBM, Oracle, Infor…). In the big-data and unstructured data context, PI System offers ways to organize and contextualize OT data so it can be combined with business data for layered analytics, including machine learning and AI, pattern recognition, and others. We will review Microsoft Azure, Amazon AWS, Google Cloud, SAP HANA, R, Python etc. with customer examples to explore the What/Why/How.
Year: 2019

Year: 2019