Join Dr Rami Zewail, from Smart Empower Innovation Labs, for a talk and panel discussion on opportunities and challenges for IIoT. The event will be held as part of the Vertical Track session on Energy and Power at the 6th IEEE World Forum on the Internet of Things.
For more information, check out the event’s full program at https://wfiot2020.iot.ieee.org/
With the emergence of the Industrial Internet of Things (IIoT) and low power efficient processors,
Embedded Machine learning and edge computing have recently received much interest over a wide range of fields including predictive maintenance, tele-medicine, and wearables. Big players like Google and Microsoft are now moving from Cloud-based intelligence to Embedded Edge-based
intelligence. Edge computing refers to processing, analyzing and storing data at the origin hardware
layer instead of the Cloud. Lately, Edge computing has drawn a lot of attention as a key infrastructure and the backbone in IIoT and Industry 4.0 initiatives. Edge Computing is about de-centralization of computing power and intelligence. This has potential to overcome a lot of the current challenges in BIG DATA and Cloud Computing. Examples of foreseen benefits include reduction of decision latency, enabling real-time intelligence, improved operational efficiency, and robustness of connected applications. On the other side, it is well known that the oil and gas industry has traditionally been slow in adopting new technologies and innovation. However, due to the current challenges in the industry, a lot of the companies are now turning towards digital transformation technologies as a means to optimize operations, and maximize financial gains.
In this talk, we discuss some of the challenges in the digital transformation of the Oil and Gas Industry. We discuss how recent advances in edge computing and de-centralized intelligence have the potential to accelerate the digital transformation of the Energy Industry