Edge Computing

Edge AI is a technology that can put artificial intelligence on edge servers and perform predictive maintenance with artificial intelligence at high speed. Future development is desired as one of the key technologies to solve the shortage of skilled engineers. Here, we will explain the difference between cloud AI and the use of cloud AI and edge AI.

Digital transformation in oil and gas remains paramount in managing mission-critical operations, gaining valuable business insights, improving worker safety, reducing costs, and more. This is especially true for offshore oil and gas production, presenting a unique set of circumstances.

While automation is accelerating business intelligence across industries, many industrial operators lack the staff and experience to pilot new automation projects, relying instead on system integrators. By developing core competencies in emerging technologies like edge computing, system integrators can position themselves as trusted partners and drivers of innovation.

A unique challenge faced by the Midstream Industry is that most critical assets are remote and often unstaffed. For pipelines, the edge…

Edge computing is moving away from the “edges” to become a mainstream approach and an important consideration in industries where real-time data is needed to drive better business decisions. We look at four key factors driving the success of edge computing.

Midstream oil and gas companies can’t afford unplanned downtime. Studies have shown unplanned downtime can costs tens of millions of dollars per…

“Equipment maintenance” is a very important activity to maintain the productivity and efficiency of the production system. This section outlines equipment maintenance activities and, in particular, the importance of predictive maintenance, and finally introduces its relationship with edge computing.

It is no exaggeration to say that the success or failure of the development of the manufacturing industry lies in quality improvement activities. In this paper, we described classic TQM activities as specific examples of quality definition and quality improvement activities and explained the future relationship between quality improvement activities and IT equipment.

The connection between big data and AI has greatly expanded the possibilities and is expected to play an active role in various fields. How will big data and AI create new value? Introducing the fields of utilization of AI and big data, and the relationship with edge computing.

It has been a long time since the need for the spread of digital transformation (DX) to the manufacturing industry was called out. The benefits of DX are great, but there is a problem that they are not widely used. Here, we described specific examples and benefits from the definition of DX, and finally, we considered the cause of DX’s difficulty.