Tag: Generative AI

  • 5 AI predictions for 2024

    The year 2023 will be remembered as the year of Artificial Intelligence, without a doubt. However, we don’t want to end it without launching our 5 AI predictions for 2024.

    There are many headlines in which the AI has had all the limelight, but undoubtedly, what has meant a before and after, has been the launch of the GPT-4 model on March 14, 2023.

    Now the question that arises is what does AI have in hold for us in 2024?

    Our team has joined forces to explore the fascinating possibilities that artificial intelligence holds for us, and have released their predictions for the coming year.

    5 AI predictions for 2024

    5 AI predictions

    Rubén, our AI Specialist, tells us that by 2024 the use of ChatGPT-type LLM technologies in large companies will be massive. Although the margin for improvement of these technologies will not be too high, there will be an increase in several industries for the adoption of these technologies.

    Discover below our 5 AI predictions for 2024:

    1. LLMs integrated into mobile devices and glasses.

    Our Head of Digital Services & Innovation tells us that we will start to see AI in a variety of devices.AI will start to be seen in a variety of devices..

    “Artificial Intelligence is going to continue to evolve and make our lives easier and simpler

    During 2024 we will see how LLM (large language models) engines will be integrated into video devices (mobile phones, glasses…) and we will be able to start asking conversational assistants what we have in front of us and how they can help us to do certain types of tasks.”

    Can you imagine walking down the street wearing your sunglasses and chatting with an assistant giving you directions to your destination? This is undoubtedly a reality that is getting closer every day.

    2. Code generation, integration and deployment

    Javier, the team’s Data Engineer.

    “By 2024, code generation will be fully exploited, as well as continuous integration and deployment through generative AI, which will greatly facilitate the daily work of data engineers.”

    3. Consolidation of AI, especially in education, healthcare and marketing.

    Chema, Junior NLP Specialist of the team..

    “My prediction is that generative AI in particular will become well established in the market, especially in education, healthcare and marketing.

    Where it will have the greatest impact, in my opinion, will be in education, since students are developing a large amount of educational work with the help of ChatGPT; teachers will have to adapt to this trend, which is not an easy task.

    On the other hand, in the healthcare field, its use will be standardized for the recognition of diagnostic images and the monitoring of hospitalized patients; without forgetting how customer service will be positively affected, to a great extent, by the use of AI for the management of appointments, communication of results, among other tasks.

    Finally, in terms of marketing and advertising, we are already seeing the first “influencers” made with AI appearing, and it is very likely that this type of advertising will become consolidated and normalized in the industry.”

    4. Application in different areas within the daily life of the companies.

    Lorena, Business Innovation Consultant

    “Diversification of AI and its application in various areas within the daily life of companies.

    In an uncertain economic context, companies will begin to focus on automating and incorporating increasingly precise and accurate processes with the use of AI in all possible areas. All this will have an impact on the training needs of workers, so we will see a significant increase in training, specializations and AI courses for employees.”

    5. Regulations and agreements for the responsible use of AI

    Karina, IT & Digital Presales Senior Consultant.

    “My prediction for 2024 is that it will be the year of regulations and agreements for the responsible use of AI. We have already witnessed how the European Union (EU) institutions have reached an agreement on the key aspects and components of the so-called responsible use of AI Artificial Intelligence (AI) Act. This is the world’s first comprehensive law in this area, which, in my view, should be considered very good news.

    I personally believe that AI has many good things to provide us with and one way to be able to continue researching and developing its capabilities in a responsible way is to legislate and standardize its use at an international level ensuring that it is safe, transparent, traceable and non-discriminatory.”

     

    Innovation is just a click away. Find out how MAIA can be your partner for an unprecedented 2024.

  • Generative Artificial Intelligence

    Generative Artificial Intelligence

    What is GenAI and who are the main players?

    For several years now, Artificial Intelligence has been revolutionising our society and transforming the way we interact with technology. But many people call things “Artificial Intelligence” that are not Artificial Intelligence… so what is Artificial Intelligence?

    The concept of Artificial Intelligence was born in the 1950s, when pioneers such as Alan Turing and John McCarthy began to explore the possibility of creating machines that could simulate human thought. It was at that time when it was determined that AI is the ability of machines to learn, to reason and to make decisions autonomously, imitating human intelligence. Over the last few years, Artificial Intelligence has grown spectacularly and we see it in a lot of things and the concept of Generative Artificial Intelligence has become a trending topic.

    Generative Artificial Intelligence

    Generative AI is a branch of artificial intelligence that focuses on creating original and autonomous content, such as images, music and text, from input data. The difference between traditional AI and generative AI is that the first is based on rules and historical data and the second uses neural networks to produce new results.

    Generative AI has been in development for several years, but it was the rise of ChatGPT that made it popular. The influence of Open AI’s GPT-3 (Generative Pre-trained Transformer 3) language model has been abysmal, setting an important milestone for the high quality of the texts generated thanks to prompts.

    But what is a Prompt? A prompt is a question, a request, an instruction to an AI program to generate a result. Depending on the AI you use, you can create articles, images, music, videos or programming code.

     

    Principal players

    A number of companies are currently leading the way in the development of generative AI. These include:

    • Google: has developed a number of generative AI models, such as BARD based on the LaMDA experimental language model designed by Google specifically for dialogue applications. Like ChatGPT, it is a conversational system where the user interacts with the model through regular messages and receives an output.
    • OpenAI: Well known for its ChatGPT, OpenAI has also developed DALL-E 2, which is an interface that is able to generate realistic images from textual descriptions.
    • Meta: Mark Zuckerberg’s company also has its own Generative AI product called Llama 2, which it has recently incorporated into its company products.
    • Adobe: has developed the Sensei model, capable of generating creative content, such as videos and animations, and Firefly, which, from just a few words, can create graphics, use infinite colour combinations, fill or enlarge images and generate text effects.
    • Microsoft: The Redmond-based company has Github Copilot, which is an AI assistant that helps develop code. It also has the Microsoft 365 Copilot product, which is the office suite assistant that makes certain types of tasks easier.

    The truth is that every day more and more companies, using AI, help us to make our lives easier and increase our productivity. Like MAIA, which is a conversational AI capable of optimising the customer experience, improving customer satisfaction by managing complex processes in shorter times and in any contact channel.

    MAIA is the conjunction of technology and human experience; it provides, first-hand, what users need thanks to the data and the interpretation of the people who work with them on a daily basis. Do you want to know more about MAIA? You can do it here.