Organizations in all industries are awakening to the value that operational data can bring to the enterprise. Combining operational data with other business information allows organizations to make data-driven decisions that optimize performance. However, different people use the same data in very different contexts and need information in a format that they can easily consume. And that's where the PI System comes in...
Year: 2019

Facility control systems sit behind closed doors, and for many years were thought of as "forgotten control systems." Now more than ever, the demand for energy efficiency and improved operational awareness is driving a need for data from these hidden systems. As we continue to require this data, serious cybersecurity risks are brought to light from inadequate security architecture or lack of process and controls. This webcast will highlight the cybersecurity risks facing facilities and detail how an IT/OT strategy can help mitigate such risk and overcome challenges faced as the need to access data becomes greater.Watch this on-demand webinar to learn:How to identify risks and develop a mitigation strategyHow to raise awareness of cybersecurity threatsHow to Identifying the value of IT/OT integration in solving potential threatsThe value you get from the expansion of data sharingHosted by: Building Operating Management (BOM)  Facilities Maintenance Decisions (FMD) ...
Year: 2018

Element Speeds Data Preparation and Asset Twin Development By 10x or more for OSIsoft® PI System™ Users Element AF Accelerator jump-starts data preparation and building an Asset Framework for time-series and related data General 2018-12-11 SAN FRANCISCO, CA (Dec. 11, 2018) -  Element , a leading devel ...

Illovo Sugar Africa – a discrete manufacturer of sugar, headquartered in South Africa – produces a wide range of products from industrial sugars to prepacked sugar for direct consumption in domestic markets. Form Fill and Seal (FFS) Machines fill consumer stock units, and operational productivity hinges on minimizing the downtime of these machines as well as the risk of recalls from variability in product packaging. Unfortunately, FFS Machines have typically had a high probability of downtime and variability. With very little reliable, repeatable data at Illovo’s fingertips, there was no way to target and improve overall equipment effectiveness (OEE).
Year: 2018

Manufacturing companies are always seeking to improve efficiency, keep their assets operating and reducing energy consumption. These objectives have been around since the beginning of the industrial revolution. Many look to implement modern Smart Manufacturing techniques and sensing technologies, which make use of real-time data.In this webinar you will learn:What is Smart Manufacturing?And haven't we been doing this already?What capabilities are needed to manage the vast amounts of sensor data to enable operational insight, business value and predictive outcomes?How can a manufacturer leverage an ecosystem of advanced analytics solutions to help them solve those tough manufacturing problems?Are there examples and lessons learned that can provide some insight along with a community of practitioners you can learn from? ...
Year: 2018