How the IoT can power generative artificial intelligence

Equipo Comunicacion 31/10/2023
    Imagen de una persona trabajando con IoT e IA generativa.

    Without a doubt, the advancement of IoT (Internet of Things) has led to a surprising synergy with generative AI. In this article, we will explore in depth how IoT and generative AI have become a powerful combination that is shaping the future; Join us as we break down this fascinating convergence and present some striking examples;

    What is generative artificial intelligence?

    Generative AI is understood to be that which is used to create all types of content such as texts, images or videos. It is characterised by the use of artificial intelligence models programmed to multitask; In addition, frequently used tasks such as questions, summaries or answers are incorporated; The basic model is easily adapted to any type of case without the need for too much data as an example;

    Thanks to the automated learning model it uses, it is easier for you to distinguish patterns and connections between the data you analyse; When it detects the pattern, it applies it to the generation of new content; The preparation of a model has as its starting point the supervised learning of labelled, human-generated content; Subsequently, generative artificial intelligence acquires the ability to produce content taking into account the characteristics of the content it has reviewed;

    How can IoT power generative AI?

    Even though the two options are completely different technologies, there are commonalities that make them complementary; The IoT works as a nervous system and artificial intelligence as the brain that decides what to do at any given moment, so that:

    • Generative AI receives the data generated by the IoT, so bringing the two together is a vital technological breakthrough;
    • the IoT serves data to generative AI so that it can shape the most appropriate content. The information processing and decision-making of the latter discipline would be impossible without the information provided by the former;

    Examples of how IoT is used with generative AI

    Generative AI will be nourished by the data generated by the IoT from devices connected to the network. You will also be able to analyse the information collected, sort it and use it; This is the case of machine learning, and in the future it will be used for natural language processing.

    This is exactly what happens when smart devices such as voice assistants are used; In short, when a question is asked, the device responds by creating content from the information available to it;

    We do not forget that the union of both technologies is already applied in home automation and will soon become one of the keys to an easier life;

    How can a company take advantage of IoT and generative AI?

    The use of artificial intelligence in business applications is increasingly common. A variety of alternatives are available;

    Document management

    Generative AI is adapted to the creation of a platform that classifies, extracts and summarises all types of content. At the same time, it has the ability to detect key points and interpret the pattern of each document to generate new content; This makes it easier to speed up the time to find a specific document and also to provide more efficient responses;

    Customer service

    More and more often we have to interact with a computer program to speak to an agent or to file a complaint. The aim is to provide the system with all the existing possibilities in each case so that the customer can choose the option that fits his request; Responses are personalised and automated, allowing employees to spend less time dealing with those who have a problem or query;

    Industrial analysis and supervision of installations

    When we talk about a generative artificial intelligencewe include the alternative to create reports of any kind of situation. The installation of a video surveillance system leads to the technology interpreting each image, classifying it and connecting the data it knows with reality; It can therefore detect what activity is being performed, the pace and even the problems it detects; It will also enhance the safety of the installation and help to save time and money on analysis and increase competitiveness;

    Assistance in a marketing campaign

    Earlier we talked about natural language processing, a basic element for each new campaign to be fully adapted to the language used by potential customers; The application of generative AI makes it easier to:

    • create content for social networks or websites;
    • optimize SEO strategy;
    • create una landing page based on images or descriptions;
    • customize each page to enhance positioning;
    • reduce costs when it comes to content creation.

    Fill in ERP fields automatically

    When using a ERP (enterprise resource planning), you need to add all kinds of data to it to make it more effective. However, the combination of IoT and generative AI means that:

    • time is saved and the probability of making errors is reduced;
    • increase ERP efficiencyto make the most appropriate decisions regarding the future of the business. Knowing in advance the possible pattern of customer behaviour helps to take useful preventive measures;
    • information flows are automated in order to process language naturally;
    • key points are extracted from the documents received so that employees do not waste too much time reading them;
    • Daily activity and the most routine processes are streamlined. Each employee will be able to consult the previously selected information he/she needs; This will enable you to perform better and tackle your work without wasting time;

    To get the most out of the type of AI that we have been describing and the IoT, there is nothing better than having the services of a company that is an expert in artificial intelligence solutions. The analysis of the data, the option to customise the result and the possibilities discussed above are a huge boost for any business. All this is to adapt to new trends and to use the working hours to achieve the planned objectives with less effort;

     

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