Covid-19 has hit the world hard and overall all cities are confronting difficult issues that should be tended to. Governments have begun to think post-COVID-19 circumstance, assembling different new standards prompted by driving advising firms for being future prepared for Covid-19 and putting resources into an advanced change of the enormous big cities. Smart cities will focus on the maintainability, functionality, and reasonableness of the urban condition. The point is to make spotless and solid urban areas that are more secure, helpful, and inviting for the residents. Artificial intelligence is one of the tools that can be used to create this new type of city.
Cyber-safety is definitely the biggest topic that has arisen in recent years. Both companies and hackers are in constant fight for the data available. We have seen tremendous technical advancements in the last few years that have altered cyber-security. The most crucial tool for this change has been artificial intelligence. In 2020 and 2021, this trend is going to continue, so if you want to keep up with the latest achievements in cyber-security, you need to implement a machine learning system.
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Digital transformation in the health care system has been a dramatic one, as many researches are looking for new ways to improve it. The results of the changes that artificial intelligence can bring to the industry are beneficial for both the clinics and the patients. Many common practices will improve, while at the same time the cost for those will be reduced. In further detail, the health care system can be improved by machine learning in the following ways.
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Weather forecasting is one of the industries that have always relied on data in order to make predictions. In the past years, the meteorologists had to analyze all of the available data themselves, a thing that sometimes led errors and false warnings. However, today this industry has seen a digital transformation that made its predictions more accurate. Artificial Intelligence has been implemented in recent years in weather forecasting and is widely used by other industries, such as agriculture.
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Artificial intelligence has many uses in our daily lives, even in some applications that we have never thought they used such technologies. Digital transformation is around us, from the cities, the appliances in our homes, and all the working environments. One of the most popular applications is facial recognition. This technology has indeed brought a lot of conveniences, even though it is not globally welcomed. Namely, people in Australia and the USA believe that facial recognition is a technology that threatens their personal privacy.
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Deployment of an artificial intelligence system means the digital transformation of your company. You are hoping to enter a new era, where machine learning will boost all of your business’s operations. However, you have noticed that the system you have developed isn’t bringing the results you were expecting. This might happen due to various reasons. The most common reasons why an artificial intelligence system is failing are the following:
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Artificial Intelligence has revolutionized many industries in different ways. Nowadays, it is implemented in every operation of a business, thus maximizing its efficiency. Through machine learning, companies can identify issues that might potentially prove harmful to the business. A sector that can be really benefitted from the digital transformation that AI brings is the Oil and Gas industry. Indeed, an AI expert can help companies in this sector optimize their operations, thus decreasing the production cost, and enhancing the ROI.
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Artificial Intelligence has revolutionized many data processing tasks. One of them is the automation of the invoice’s data extraction. Even though invoices are so vastly used in today’s businesses, you will notice that there are no clear templates. Up until now, this has created various challenge, resulting in inefficient applications. However, machine learning has changed that. When combined with the Optical Character Recognition (OCR) technology, machine learning is able to understand the contents of an invoice. The most important thing is that products that take advantage of Artificial Intelligence don’t need templates.
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Just a few years ago, AgriTech made its appearance in the world. Since then it is rapidly expanding, making it one of the biggest investments, especially in emerging markets. AgriTech has put into use all of the latest and most advanced technologies, making it one of the fields with the highest rate of digital transformation. One of the technologies that can be utilized in this type of agriculture is, of course, artificial intelligence, as it can offer useful insights.
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Nowadays, we witness great leaps in Artificial Intelligence technology. These new breakthroughs have entered our lives and offer new solutions to different professional sectors. Even in professions that at first sound surprising, machine learning is bringing new revolutionary practices. One of those sectors that can benefit from the digital transformation is the legal sector. Artificial Intelligence is responsible for the addition of speed and simplicity to the demanding and complex legal processes. By assigning the simpler tasks to an AI, the legal professionals can focus on the most challenging parts of the job, such as consulting and appealing to the court.
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