FEATURE AI & Virtual Reality !
Smart 5G patrol robots deployed to fight coronavirus F
ollowing the outbreak of COVID-19, the Guangzhou Gosuncn Robot Co. upgraded
Making RPA smarter with AI
Here, Keith Morley, senior technical architect at Mastek, explains how AI can make RPA smarter by illuminating “dark data” and improving accuracy and efficiency
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t is crucial for contractors to provide training for all staff so that they are aware of any potential fire hazards. Employees need to be aware and familiar with the risks involved, and be fully trained on how to use equipment. To leverage the many opportunities offered
by new digital technologies, enterprises are changing their approach and adopting an “automation-first” mindset. RPA is usually the first step on their automation journey, providing highly effective process automation, integration and increased productivity. However, it still relies on the “human touch” to interpret unstructured data, provide conversational understanding and decision-making. To move towards full automation, solutions need to be smarter. These new, smarter, “Intelligent Automation” solutions are already here and becoming enablers for driving new business processes, delivering optimum value, increasing speed and improving both efficiency and accuracy. They use RPA to deliver orchestration and integration and add cognitive services, enabled by Artificial Intelligence (such as Natural Language Processing, Computer Vision and Chat Bots) to provide intelligence. “Human like” Virtual Assistants can be created by combining Natural Language Processing, Chat Bots and RPA to add conversational understanding to existing business processing. Ill-defined processes and “dark” semi-
structured or unstructured data, such as applications that use images, image streaming services (e.g. Citrix and VMware), scanned documents, images in PDF files or free text in emails and forms have always been difficult for RPA. AI services, such as Computer Vision can provide object recognition and context analysis from images and free text; facilitating the addition of intelligent, flexible, business
14 April 2020 | Automation
logic, using previously trained or self-learning models. It can significantly improve accuracy, reduce maintenance and the need for predefined templates or rigid rules. The benefits of Intelligent Automation are not just limited to driving innovation, improving RPA reliability and carrying out repetitive tasks quickly, and accurately but it may also help unearth value from “dark” data. Studies suggest that 80 per cent of enterprise data is “dark” data. Gartner defines dark data as the “Information assets organisations collect, process and store during regular business activities, but generally fail to use for other purposes” (for example, analytics, business relationships and direct monetising) due to complexity or not being aware of its existence. Intelligent Automation may also drive AI in your enterprise. According to a Gartner report, AI take up is remarkably slow. It is estimated that only four per cent of CIOs have successfully implemented an AI solution, probably due to a lack of engagement. AI projects are not usually integrated well into the enterprise, often with off-line reports, designed by data scientists, developed in their own silos. Bringing in AI expertise into your RPA Centre of Excellence takes AI from the data scientists into the real world, not only making RPA smarter but driving AI and business innovation throughout the enterprise. In summary, combining AI with RPA allows organisations to shine a torch on their “dark” data, improve accuracy and efficiency and make their digital workforce a little more human.
Web:
www.mastek.com CONTACT:
Mastek Tel: 01189 035 700
its 5G-powered police patrol robot with new capabilities to assist first-line police officers in conducting disease prevention inspections. Because the manual measurement of body temperature exposes public safety personnel to potential health risks, these robots are equipped with five high-resolution cameras and infrared thermometers capable of scanning the temperature of 10 people simultaneously within a radius of 5m. If a high temperature or the absence of a mask is detected, the robots send an alert to the relevant authorities. All data can be transmitted to a centralised control centre for real-time situational response and decision making. As well as being self-driving machines, the robots can also be controlled remotely, thereby saving manpower by reducing patrolling responsibilities and preventing cross-infection.
Gosuncn’s 5G patrol robots integrate IoT,
AI, cloud computing, and big data technologies to conduct environmental sensing, dynamic decision-making, autonomous motion control, as well as behavioural sensing and interaction. To enable such advanced computing, 5G patrol robots are powered by a high-performance industrial edge computer (MIC-770) equipped with an 8th gen Intel Core i processor and GPU iModule (MIC-75G20) aimed at IoT applications. Developed by Advantech, the MIC-770
industrial-grade edge computer combined with MIC-75G20 GPU iModule provide a high-performance system for AI training and inference. The high-performance computing power of Advantech's MIC-770+MIC-75G20 solution can be widely applied in urban security, smart equipment, autonomous vehicles, AI inference servers, high-end medical or security inspection equipment, and machine vision solutions to enable diverse industrial automation applications.
Advantech
www.advantech.com
automationmagazine.co.uk
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