Artificial Intelligence Applied to Unstructured Data Analysis

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Extracting values ​​from the analysis of big data is a difficult and complex process, which requires a certain efficiency in the technological field, also conditioned by the quality of the data and its nature, whether unstructured or structured .

The latter, as the term itself suggests, are those that respect a predefined set of rules and that respect a specific pattern.

On the contrary, unstructured data does not have a predefined model and represents the majority of available data: we receive emails or images every day, just as our company receives documents, provides assistance or services and acts on multiple channels that are linked to the management of unstructured information.



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How are they managed within the context of a company? Thanks to artificial indonesia whatsapp resource intelligence . For example, within a call center, the final goal is to streamline call traffic, trying to provide a good quality service to the customer, avoiding long waits on the phone.

This includes the entire universe of chatbots , virtual assistants that have been defined as the most mature part of artificial intelligence, but at the same time the one in which it is difficult to see where the value lies between technologies compared to others. Just think of the voice assistants that we have inside our smartphone, like Siri, Google or even Alexa.

It is also finding wide application within the company, regarding the handling of documents. In fact, those that operate in some sectors, such as banking and insurance, very often find themselves managing documents with unstructured data without being able to understand their priority. Thanks to artificial intelligence , however, it is possible to get into the merits of this document and understand the data contained within them.

Another very interesting field is when it comes to very complex documents , such as contracts, which is a field with a very broad application, ranging from the legal world to B2C and B2B where many companies like Doxee operate. Managing a contract can be very difficult, as you also find yourself with reminders, penalties and understanding some timing, which require very rapid response times and margins of error reduced to almost zero.

Generally, work activities, especially in the sectors just mentioned, are carried out by people who have a more or less limited time to carry out reasoning and apply it exhaustively to all documents. Therefore, artificial intelligence applied to the analysis of big data could overcome this lack of time, allowing the acquisition of data on a large scale and at the same time guaranteeing a significant return.

What will be the future of artificial intelligence and big data?
Understanding what the future of artificial intelligence will be is very important for companies today, as the data that will be available will become increasingly diversified and therefore the support of technologies will be fundamental.

Today, the most important challenge for those who work in the technology field is to increasingly broaden their range of action. In fact, we often talk about the democratization of AI , that is, making it possible to apply artificial intelligence to more people who work in business and are not just so-called data scientists.



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It is also important that the information and data that is collected is made available to a cloud. Some projects and processes that involve customer data may have privacy concerns, while others may be without difficulty and therefore a distribution of data to a cloud is preferable as it will make a document much faster, more functional and the person in charge will be able to start working on the data in no time.

Another aspect that should not be underestimated and on which it will be necessary to start paying attention right away to the purely linguistic aspect of the software. For years, the true language of words has not been entered and therefore technologies used some keywords, verb conjugations or did not distinguish between singular/plural and masculine/feminine. Therefore, natural language understanding, today is positioned as one of the aspects that must be implemented more and more, also to provide adequate answers to the customer, together with hybrid natural language.

More generally, artificial intelligence will see an increase in use by companies in both the B2B and B2C sectors in the coming years; their advantages are clear for all to see. In fact, according to recent studies and projections, by 2025, investments in AI will reach 60 billion euros in global investments, compared to 2 billion euros in 2016. On a global level, the United States will rank first in terms of number of investments and companies that will use AI, followed by the European Union. If we wanted to look even further into the future, by 2030, Western countries will be overtaken by those of the Asian continent, especially China.

Also taking into account the increase in the amount of big data to be stored and processed, the software itself will evolve, also allowing to make strategic decisions and solve problems in the shortest possible time.

The innovations of artificial intelligence are already visible in some sectors, such as telecommunications, where some problems are solved via chatbots based on collected data, or in the insurance sector as previously mentioned, thus guaranteeing a high rate of data processing and response speed, which the human brain would not be able to give.

Today, artificial intelligence is much more developed in the B2C sector, since it is much easier and faster to have the so-called returns. In the future, it is therefore desirable, how the use of these software is expanded more also in the B2B sector, where some companies are already experimenting with chatbots and AI algorithms for customer service.

It can therefore be said that artificial intelligence and big data will certainly shape the future of our world by opening up the possibility of automating some processes, speeding up some and making information acquisition more efficient and improving the customer experience. It will also expand to other sectors such as energy and media.