General Atomics Aeronautical Systems, Inc. is a Department of Defense contractor and
leading manufacturer of remotely piloted aircraft systems, radars, state-of-the-art ground
control systems, and electro-optic solutions. But with such diversity of business activities,
General Atomics was facing several data-related challenges. Sharing information and data
between business units was proving unduly difficult. “We're very vertically integrated and
a lot of our organizations don't know what each other are doing,” said Russell Manson,
Integration Automation Architect at General Atomics, during PI World San Francisco 2019.
To address these and other challenges, General Atomics formed an internal team called the Manufacturing Center
for Continuous Improvement (MCCI). With the help of the PI System and FogLAMP,
Manson and his MCCI team soon found that they could harvest, display,
and share data in an easy, intuitive way.
Year: 2019
An increasing number of asset owners rely on data-driven aftermarket services. While service providers have ample expertise, they lack access to the real-time customer data that is needed for offering timely advice and making smart decisions. However, there are some who have made it possible to collect information in real-time store it in a central location where experts can visualize, analyze and share data.
Learn how businesses across the globe are building out real-time data infrastructure to connect with their customers, partners, and assets to improve service quality, optimize processes, and deliver a faster time to market.
Year: 2019
In this webinar, Riverside Public Utilities explains how they turn data from many silos into actionable information to increase efficiency, better manage operations, and meet environmental compliance in their Water Operation Division.
Watch this webinar hosted by WaterWorld to learn how to:
- Turn Big Data into action items
- Use data to help manage operations
- Meet environmental compliance
- Increase visibility into systems and assets ...
Year: 2019
Finding value locked away in building automation systems is not a destination but a journey. Each facility has its own unique challenges and opportunities. Facilities and campuses need energy savings, operational awareness, resilience and reliability. The question is, how do we find a solution across these objectives and across the silos of our organization to light up the data we already have before we start to add more.
Watch this webinar hosted by Facility Executive to see our journey through the operations at the San Leandro Tech Campus as well as through:
- NASA
- Eli Lilly
- University of Maryland
- University of California at Davis ...
Year: 2019
Artificial Intelligence (AI) and Machine Learning (ML) have been touted as a force that will revolutionize industries worldwide by analyzing reams of data and providing predictive, prescriptive, and AI-based recommendations for humans. However behind the scenes, the rise of critical operations decision support platforms (DS) as part of a “layers of analytics” strategy seems to be accomplishing similar efforts in a somewhat more modest and spectacular way. One of the more successful industrial sectors has been in oil and gas (O&G).In this webinar, Craig Harclerode, Industry Principal at OSIsoft, and Michael Kanellos, Senior IoT Analyst at OSIsoft, discuss the difference between DS and AI/ML, and how using a “layers of analytics” strategy is optimizing the production in midstream oil and gas, one of the most challenging sectors in hydrocarbons.
Year: 2019