Monday, November 8, 2021

Boston Dynamics and IBM have joined forces to deliver Edge Analytics.

Boston Dynamics and IBM have teamed up to deliver Industrial Operations Mobile Edge Analytics.

Aids industrial businesses in increasing worker safety and facility maintenance productivity.

In operations such as manufacturing and warehousing, demand for AI-powered robotics is expanding to assist enterprises with data and analytics that spot problems in real time, improve decision-making, and perform tasks more effectively. However, in order to reap the full benefits, these processes must use artificial intelligence as close to the data source as possible.

To help industrial organizations improve worker safety, optimize field operations, and promote maintenance productivity in manufacturing facilities, power plants, warehouses, and other locations, IBM and Boston Dynamics have announced a new cooperation aimed at delivering data analytics at the perimeter.

IBM Consulting will design perimeter payloads that will interface with Spot, Boston Dynamics' nimble, mobile robot, thanks to IBM Research's artificial intelligence and hybrid cloud advancements.

As industrial customers look for robotic solutions, Boston Dynamics and IBM are evolving Spot into an intelligent perimeter roaming device, with the goal of giving operations people more flexibility in inspecting and monitoring their equipment via dynamic sensing.

Mobile robots are already being used by forward-thinking industrial enterprises to collect huge volumes of data from equipment in a very dependable and repeatable manner while collaborating with human operators.

The next problem is figuring out how to make all that data usable without requiring hours of manual analysis or relying on disparate analytics tools on the backend. Through dashboards and integration with an enterprise asset management (EAM) system, IBM uses analytics and artificial intelligence to understand data in near real-time and drive action.

The collaboration between Boston Dynamics and IBM can benefit industrial operations staff in a number of ways. First and foremost, the mobile robot is intended to assist inspectors in addressing their safety concerns when conducting reviews in dangerous or difficult-to-reach places.

The system then provides operations managers with near real-time information on equipment status, allowing them to take proactive steps to optimize equipment function and uptime. Finally, the increased productivity means that operators will spend less time performing basic inspection rounds; instead, Spot will be able to complete inspections reliably and regularly, allowing the team to focus on higher-value tasks.

All of these additional detection capabilities should be scalable across several sites and a variety of different types of equipment. IBM will use its technologies and experience in perimeter, 5G, security, and hybrid cloud to do this. Integration with client asset management systems, such as IBM Maximo Application Suite, which lets businesses monitor, manage, and repair their assets, is also important for scaling.

Spot's mix of Boston Dynamics and IBM Consulting expertise can help clients achieve the future as these capabilities scale.

According to an IBM Institute for Business Value (IBV) report, 56 percent of manufacturers have used AI-powered robotics to make autonomous choices, and 83 percent believe intelligent automation will assist their company in addressing strategic problems and improving business outcomes. Companies point out, however, that the majority of today's edge and IoT devices are fixed, inflexible, and unable to adjust to fast changing settings.

 

Article Author Gerluxe

Image : itconnect.lat

 

No comments:

Post a Comment

Botto, the robot artist who sells paintings for a million dollars

 Botto is a million-dollar-painting-selling robot artist.   Mario Klingemann , a German, has developed an AI-based model capable of producin...