In this session, we will discuss some of the best practices for rolling out Asset Framework across your enterprise, including template design, template management, process governance, hierarchy design and much more. Also talks about learn about the do's and don'ts when rolling out your Asset Framework for analyzing critical operations.
Year: 2019

In this session, NTPC will share their journey with PI System and Experience of using PI System as a Realtime Data Infrastructure across all fleet of generation, integrating multiple IT and OT systems, their complexities, developing solutions while addressing Challenges with scalable Architecture.
Year: 2019

In this session, Shell will share their journey with PI System & their experiences of using PI system as a Realtime Data Infrastructure. Explain high level Realtime Data Architecture at Shell integrating complex realtime systems, IT systems across all upstream, mid-stream and down-stream operations. Data Contextualization and standardization helped for faster deployment across Shell Operations including adapting new Technologies.
Year: 2019

In Part 1 of this technical keynote, we cover PI System’s role as the backbone of an open data infrastructure in your digital transformation journey. In asset intensive industries (oil & gas, power generation, renewables, metals & mining, pharma, cement etc.), OT - operations technology - data includes SCADA, IoT, machine condition, MES and any other meta data that adds context and enriches instrument/sensor measurements. With a layered approach to fit-for-purpose analytics, the PI System enables your digital transformation to evolve through descriptive/diagnostic/predictive/prescriptive operation or reactive/preventive/predictive maintenance, and others. We will use illustrative customer examples and demos to walk you through the scenarios. The talk will also include new OSIsoft technologies in the roadmap - edge data store (EDS) and OSIsoft Cloud Services (OCS).
Year: 2019

Today, analytics is promising to deliver new efficiencies within industrial operations. To maximize the value of industrial analytics, you need a strategic approach that considers different perspectives across your enterprise while minimizing delays and failures from data inaccessibility, intensive data processing, and poor data quality. A successful industrial analytics strategy requires a data infrastructure approach that fosters trust and is optimized for enterprise-wide operational analytics. This overview session introduces the latest trends within industrial analytics, highlights best practices for success, and shows how the OSIsoft PI System, edge, and cloud technology support different types of analytics for varying audiences – from engineers and managers to data scientists within IT and OT groups..
Year: 2019