Who has the courage to make predictions for 2021 after a year of unpredictability? Someone is there, here they are.
TRENDS IN ARTIFICIAL INTELLIGENCE IN 2021
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As electricity has changed the world, revolutionizing the transportation, industry, agriculture and healthcare sectors, Artificial Intelligence is poised to play a similar role.
Until now, what has slowed the adoption of AI has been the scarcity of data. The volumes of data in production environments are the basis on which representations of entire plants and systems are generated. For AI to have meaning, algorithms require large amounts of data that could not be found in the past.
Today all this is changing. Thanks to new technologies in the IoT, cloud, hardware and software fields, the quantity and quality of data that can be collected, processed and analyzed, has significantly increased. For this reason it is necessary for Italian companies to be at the forefront of what is to all intents and purposes "the fourth industrial revolution" .
"Just as electricity transformed everything about 100 years ago, today I have a hard time thinking about an industry that won't be transformed by AI in the next few years." - Andrew Ng, professor and researcher at Standard University.
Focusing on Artificial Intelligence , what is already available or in the testing phase? What can be put in place in 2021 in Italian industries?
Let's look together at the trends of artificial intelligence in the Italian industry that will characterize 2021 .
1) IoT (Internet of Things)
Among the forecasts for the FW 2021 trends is the Internet of Things.
In the industry of 2021, we cannot talk about IoT without talking about Artificial Intelligence, and vice versa. In fact, the use of AI and machine learning algorithms is increasingly intertwined with the IoT.
The Machine Learning is already widely used to make devices and services IoT smarter, safer and also to obtain information from data they extrapolate.
On the other hand, these algorithms require a large amount of data to function efficiently. This is exactly what an IoT network or device can deliver.
In an industrial context, IoT devices can collect operational data from a plant, sending it to an artificial intelligence system that analyzes it, in order to improve the performance of the production system, increase efficiency and predict when machines need maintenance. . What some call “ Artificial Intelligence of Things (AIoT) ” could revolutionize industrial automation.
2) 5G
5G technology is among the most important technology trends of 2021. Up to 100 times faster than 4G, 5G has drastically reduced latency that allows you to eliminate processing delays, share data extremely quickly, but above all to ensure that the production systems inside the factories react in time. real.
For these reasons, 5G should drive the industry to digitization , through new and increasingly powerful technological features. Among these we find the use of artificial intelligence for the recognition and analysis of images and videos . This would facilitate the automated inspection of assets, the heart of the anomaly detection and cyber security processes .
3) PREDICTIVE MAINTENANCE
In the past, maintenance techniques were applied posthumously to a malfunction or break, causing long periods of downtime and extensive damage to production. In recent years, more and more efforts have been made to adopt techniques that anticipate the possible problems that a production plant may encounter.
Artificial intelligence is a huge boost in this field. In fact, through the application of machine learning algorithms on the data coming from the plant, it is possible to intercept malfunctions and breakages well in advance, allowing field technicians to carry out maintenance interventions in a timely manner.
These techniques are called predictive maintenance. Artificial intelligence can detect problems in the manufacturing process in advance of the human eye. These techniques also make it possible to extend the residual useful life of the machines.
We work closely with many companies, covering different fields for the management of plants, from energy to steel , combining domain and artificial intelligence skills .
4) CYBER SECURITY
One of the negative aspects of digitalization and automation of production plants is the risk of being victims of cyber attacks, capable of blocking production processes for entire days, resulting in enormous losses. The latest official data relating to the number of hacker attacks dates back to 2018 with 10.8 billion attacks. To think that all this can be handled directly by man is unrealistic. For this, artificial intelligence is relied upon .
The malware structure is constantly evolving, and the usual virus detection blacklists are not enough to handle the threat of cyberattacks.
The strength of Deep Learning and Machine Learning , two sub-categories of artificial intelligence, is the use of algorithms born from data sets and statistical analyzes to formulate hypotheses on the correct behavior of a computer, allowing to learn from this dynamism in real time and to develop new classification criteria without human intervention, capable of detecting an anomaly due to a cyber attack, even before it can affect the production process.
5) ANOMALY DETECTION THROUGH IMAGE RECOGNITION
The "anomaly detection" through the analysis of images, spectra or radar signals, is a very complex artificial intelligence technique, at the basis of both cyber security and predictive maintenance systems .
Detecting anomalies and malfunctions in a timely manner is often the primary concern for industries, because, intercepting them in time and activating adequate countermeasures, makes it possible to better manage the production process.
An expert maintenance technician is able to understand and intercept an anomaly by looking only at certain types of assets (filters, pipes, images of switchboards, etc.) While an artificial intelligence algorithm, trained through a mix of data collected in the field and technical knowledge, is able to supervise a certain asset H24 and to intercept even those anomalies not visible to the human eye, capturing hidden patterns in the images.
These algorithms are already widely used in many fields, such as the medical one, to detect the premature presence of cancers, or in autonomous driving systems, recognizing signals and categorizing the surrounding environment.
AI has developed strong skills in this area. We implement algorithms capable of autonomously recognizing defective pieces through image analysis . In other cases, we apply computer vision algorithms to identify problems with assets and plants .
6) FORECAST OF PRODUCIBILITY AND CONSUMPTION OF THE PLANTS
In all industries, from energy to manufacturing, the development of methods for more reliable and accurate prediction is essential. The aim is to facilitate and optimize production planning and control.
In the energy market, knowing the evolution of the energy demand curve allows you to better manage the producibility of a plant, without having to resort to the application of corrective coefficients to avoid incurring penalties.
In manufacturing, understanding and better predicting demand and orders for certain products allows us to have optimal inventory levels. It also allows us to reduce the likelihood of part surpluses or shortages.
Through Artificial Intelligence models, it is possible to intercept the behavior of the time series to obtain very accurate predictions. This is possible based on both historical data and other factors affecting demand.
Our experience in this area is to combine data analysis with domain expertise for warehouse optimization . Both from the economic side, reducing the value of the warehouse, and from the technical side, increasing the efficiency of the system and reducing intervention times.
7) EDGE AI
Last, not least, of the trends in artificial intelligence, is “ Edge AI ”. It is a system that allows Artificial Intelligence algorithms to work directly on the devices that collect the data, or on the latest generation of intelligent sensors .
This mechanism allows data to be processed at users and devices, without having to send them to a central structure for their processing. By doing so, the use and costs of cloud services and cyber security are reduced, reducing exposure to the outside.
We have seen the different artificial intelligence trends that will characterize 2021. The application of artificial intelligence to industry is already a reality that is becoming increasingly widespread, both in India and abroad.
Some more Trends and forecasts for 2021 for Artificial Intelligence
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SAS brought together its experts and asked them what they predict for 2021 and how they see technology in different areas of our society.
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