{"id":5484,"date":"2020-03-13T12:09:38","date_gmt":"2020-03-13T11:09:38","guid":{"rendered":"https:\/\/mipu.it\/?post_type=topic&p=5484"},"modified":"2020-03-13T12:19:05","modified_gmt":"2020-03-13T11:19:05","slug":"9-artificial-intelligence-trends-2020-1","status":"publish","type":"topic","link":"https:\/\/hw.mipu.eu\/en\/topic\/9-artificial-intelligence-trends-2020-1\/","title":{"rendered":"THE 9 ARTIFICIAL INTELLIGENCE TRENDS 2020 TO KEEP AN EYE ON – pt 1"},"content":{"rendered":"

The 9 Artificial Intelligence trends 2020 to keep an eye on – pt1<\/strong><\/h2>\n

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Artificial Intelligence, protagonist of the scientific debate in the recent years, is the technology that is revolutionizing our industry, as electricity did more than 100 years ago.<\/p>\n

While in the field of services, finance and medicine, AI techniques have already been applied for years, in the industrial sector they have recently come to support operators in O&M activities, process control and energy efficiency<\/strong>.<\/p>\n

The growing presence of a solid database, which is the result of the IoT investments made in the past years, and of new technical standards defining how and what to monitor – combined with increased market awareness – open the way to new solutions and applications.<\/p>\n

As in all fields, it is very easy to make long-term predictions about the spread of artificial intelligence. How close is the future world where machines will be autonomous and thanks to artificial intelligence the human supervision will not be necessary any longer?<\/p>\n

Rather, what is already in the final stage of experimentation or is already available and can be applied by Italian and international companies <\/strong>with a sufficient digital maturity? (To evaluate the digital maturity of your company, you can fill in the simple assessment questionnaire that we have created covering different business areas: request it here<\/span><\/a>).<\/p>\n

Below, we look together at 9 Artificial Intelligence applications that are already reality in 2020.<\/p>\n

1. Predictive and on-condition maintenance for processes, assets and plants<\/strong><\/h4>\n

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Predictive maintenance through artificial intelligence is the main focus of AI applications in manufacturing<\/strong>. Many international big players are investing on AI and predictive maintenance in order to digitalize processes and support the O&M teams in the management of failures and anomalies. Thanks to the increasing amount of data and the efforts to standardize databases, these technologies become more and more accessible.<\/p>\n

The fundamental limit encountered so far is the comprehensibility<\/em> of the results and the models industrialization<\/em>. These two problems can be solved through the use of intuitive user interfaces<\/strong> (which require to properly study the process and interpret the results), and the installation of the solutions in cloud<\/strong>. This way, AI-based predictive maintenance solutions will be increasingly accessible to teams that operatively need information, without the need to understand control charts.<\/p>\n

(We have already written some case studies on this topic: you can find them here<\/u><\/a>)<\/p>\n

Digital maturity required: integrated and interoperable<\/em> \u2013<\/h5>\n