Artificial intelligence is one of the main challenges for businesses today. But what does artificial intelligence really mean?
AI and Smart Machines
The expression ‘artificial intelligence’ refers to programs or computers that are able to perform actions or adopt behaviours generally associated with human intelligence. Since they are capable of processing large amounts of information, machines with artificial intelligence can not only analyze and understand models, but also learn and improve.
AI: how does it work?
Artificial intelligence works through the combination of a large amount of data, programs powerful enough to use it and an ability to learn. These three factors -data, computer power and learning ability- allow intelligent machines to constantly improve and come close to the human cognitive model. To ensure that programs are able to learn, three technologies based on human abilities have been developed:
Supervised Learning consists in feeding the software manually with codes and data to develop its capacities;
Machine Learning allows machines to learn without coding them. They analyze data and learn automatically and autonomously;
Deep Learning is derived from Machine Learning. This form of « learning » is based on a system of artificial neurons inspired by the human brain structure. These « neurons » are actually very many units to which a specific task is assigned. The combined effort of these units allows the machine to solve complicated problems and increase its knowledge by recognizing and comparing the elements it finds in the data to which it has access.
A few concrete examples of how AI can be used by businesses
Nowadays, data management is a major challenge for companies. To be as relevant as possible, companies need a large set of usable data. The work of collecting and organizing data can be very long and tedious, but AI simplifies the process. Thanks to a powerful tool like Dig It, you can use text mining technologies that allow you to extract and analyze large amounts of data. Dig It is able give a structure to your data and set up automated product classifications or tagging plans. Once extracted and processed, the data can meet customer needs in a better way and can be used by other artificial intelligence technologies as well.
Besides having to process an ever-increasing amount of data, companies must also stand out. They need to produce a wide range of varied and optimized SEO content to increase their market share. Natural Language Processing (NLP) and Natural-Language Generation (NLG) technologies enable the implementation of customized automated content for SEO. Based on these technologies, our multilingual text generator Scribt can produce a wide variety of qualitative texts, SEO-optimized and adapted to all needs. From product sheets to content dedicated to social networks and news for the media, the texts obtained are particularly relevant thanks to the analysis of the available data. Already used in the fields of marketing, e-commerce and media, Scribt allows you to benefit from premium content in large quantities and at a lower cost.
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