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Connecting the Dots Between Robotics and Cloud Computing

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Connecting the Dots Between Robotics and Cloud Computing

With the rise in AI tech, robots are likely to be incorporated into the cloud in a rapidly growing digital environment meant to craft an intelligent enterprise environment.

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Don't you feel that almost all technological facilities are related to cloud these days? This also includes robotics. We aren't far from the day when RaaS will turn out to be a multi-million-dollar industry. The global expenditure of robotics and robot-related services will reach around $135.4 bn by 2019 (which was $71 bn in 2015) according to an International Data Corporation report.

John Santagate, Research Manager at International Data Corporation Manufacturing says:

"With the rise in investment in AI development, robotic capabilities will keep on rising with the driving competition in order to bring cut the expenditure related to AI technology.”

According to a report titled Global Robotics Technology Market, 2013-2020, the universal robotics technology market is likely to reach up to $82.7 bn by 2020, suggesting of a CAGR of 10.11% during 2014-2020. The key factor that drives the robotics industry is the growing need for reduced labor costs of most established nations as well as increasing instances of highly supported living styles. More and more enterprises have started to enter the industry hoping to evolve and refine automation techniques and customer services.

Service robots provide a benefit by taking up industry-related tasks that are usually challenging and seem risky. Various everyday jobs are taken over by robots that are difficult and require much more human effort. Robots ensure and offer a higher level of accuracy and precision. The major sectors to use robotics and AI technology are factories and manufacturing sectors that develop merchandise and create medications have benefitted from the accuracy that AI offers.

Speaking of the ever-increasing consumer world, a lot of cloud-based enterprises have started building chatbots that can be used in customer service processes to provide assistance to consumers in making the correct use of products and helping them save a lot of money. Industrial applications of bots not only help reduce costs but also initiate major transformations to take place for a better customer experience.

It has been proven that AI-enabled RaaS is a boon to various verticals of the manufacturing industry, which includes the manufacturing sector that requires hefty functional tasks in data storehouses. The RaaS model is now becoming commonplace in the agro sector. Agricultural robots and drones are used in a variety of tasks and they are expected to bring the US $12 bn in the next five years.

In the healthcare industry, bots are able to perform tedious operations and interact with patients, check the status of their health, and suggest further appointments. All the data that has been taken by robots in different verticals and service sectors can be stored in the cloud. Data analytics can be performed on the stored data and this enables businesses to increase productivity at a lower cost. It also helps build a smart enterprise link that let teams focus only on their business-related tasks. 

A report by International Data Corporation stated that 30% of robotic applications based on commercial services will be in the form of a RaaS enterprise model by 2019. This would definitely help reduce costs of robot deployment. The same report further predicts that more than 55% of robots will depend on cloud-based applications in order to define AI potentials and related applications, which will eventually lead to the formation of an AI-based cloud market by 2020.

The advent of the RaaS technology denotes a massive change in service-based models in the technology sector. These models have a fast growth capability for adoption and offer an attractive value proposition to different industries and businesses. RaaS has the capability to develop new and improved enterprises prototypes.

A lot of RaaS-providing industries can provide 24/7 support with the incorporation of artificial intelligence technology and storage facilities used within industries. This helps with cost-cutting and also makes scaling resources feasible with greater flexibility. With the rise in AI technology, robots are more likely to get incorporated into cloud technology in a rapidly growing digital environment meant to craft an intelligent enterprise environment.

TrueSight is an AIOps platform, powered by machine learning and analytics, that elevates IT operations to address multi-cloud complexity and the speed of digital transformation.

Topics:
cloud computing ,robotics ,ai ,bot development

Opinions expressed by DZone contributors are their own.

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