Article updated in January 2025.
2024: The Rise of Generative Modelling
In 2024, the whole world was surprised and amazed by the generative models of Artificial Intelligence. Applications such as ChatGPT generated an unprecedented wave of attention since its launch in November 2022. In just two months, it reached 100 million users, making it the fastest growing app in modern history, surpassing TikTok and Instagram. Meanwhile, tools such as DALL-E, Gemini and Midjourney nos mostraron impresionantes avances en la creación de contenido visual y textual, dando la impresión de que nos acercábamos a la «Inteligencia Artificial General» que estábamos familiarizados a ver en películas.
Sin embargo, el entusiasmo inicial ha ido dando paso a una etapa más realista. Las «alucinaciones» de los modelos—respuestas incorrectas o incoherentes—evidenciaron sus limitaciones. Tanto es así que Gemini, pese a las altas expectativas, tuvo errores evidentes que hicieron tambalear las acciones de Alphabet en sus presentaciones.
This technology has created a bubble of expectation and, in many cases, frustration. However, it has also demonstrated amazing capabilities that will continue to evolve. In the coming years we will see these models become more complex, integrating into our mobile devices, moving beyond their use through web platforms to being embedded in our everyday applications.
As expressed in the Amara Lawit seems that we have overestimated the capacities of the Generative AI In the short term, but we have yet to discover what impact we are underestimating in the long term.
2025: The emergence of AI Agents
During the year that has just begun, a new concept will become familiar to us all: the IA agents. Unlike generative models, these agents not only respond, but also plan, make decisions and are able to execute tasks autonomously. This December OpenAI presented Operator Agent and Google has done the same with Jules y Project Mariner. These first AI agents promise to offer practical and advanced capabilities. They mark the beginning of a process of technological innovation outside the media spotlight, quietly, but with a huge impact on the future of business and the labour market.
This phenomenon is part of the so-called hyper-automationa term popularised by Gartner, which describes the combined use of advanced technologies to automate tasks beyond human capabilities. The IA agents are part of a quiet revolution, laying the foundations for a future where artificial intelligence is not only useful, but indispensable.
Inicialmente, los agentes de IA actuarán como ayudantes para empleados, lo que Microsoft denomina copiloto. Gestionando correos electrónicos, informes y otras tareas repetitivas. Paulatinamente se irán integrando con nuevas aplicaciones en los sistemas de las compañías, donde los procesos son más controlados y no requieren las implicaciones de una IA generativa. Con el tiempo, asumirán roles más complejos, ejecutando flujos de trabajo completos y colaborando con sistemas, personas y otros agentes. Cada vez irán requiriendo una menor intervención humana hasta alcanzar la plena autonomía, asumiendo tareas más complejas, y transformando profundamente la manera en que trabajamos. Finalmente, los reconoceremos como «empleados digitales».
A promising and complex future
In 2025, huge development investments will continue on today's foundational models, which will become increasingly powerful, but also more costly and complicated to maintain. Their functionalities will grow in step with the huge investments, bringing with them impressive advances and new frustrations. In parallel, the silent impact of automation will transform the world as we know it.
In this new scenario, tedious and repetitive tasks will cease to be human. In principle, allowing us to focus on more creative and strategic activities. But if there is one thing that the Amara Law is that the technological future rarely unfolds as we expect it to, and its impact is often far more profound than we imagine.
Original article published in August 2024.
Perhaps when one reads this term, "artificial intelligence", one thinks of science fiction films and books. But you shouldn't. Artificial intelligence (AI) is part of reality as an additional element and is very useful in different sectors of work.
In fact, artificial intelligence already ranks as one of the most important main markets for investment in the stock market. And the fact is that 85% of European and US companies think that AI should be a priority in the development of their business. On the other hand, 35% of these same entities already use it directly or indirectly.
No wonder: the uses of AI or artificial intelligence are extremely varied. It is mainly used in research tasks.
Indeed, examples of artificial intelligence are many. Without going any further, renewable energies are one of its greatest beneficiaries. Although, lately, the health sector is one of the most sought-after professional fields.
Searching for population longevity, creating oncology applications or researching pandemics are just some of its fields of study. In fact, in this last area, the Fugaku supercomputer.
But if you were to ask yourself what artificial intelligence is, would you be clear how to answer?
Artificial intelligence: definition
Artificial intelligence or AI is a speciality within the field of research and computer science. By means of logical-mathematical mechanisms, orders are programmed to machines, with the aim of making them satisfy people's needs.
What AI is used for: 7 products with Artificial Intelligence
As already mentioned, the main applications of AI include research in all its forms. Science, R&D&I, innovation and the use of new technologies, which are applied to all kinds of situations. Also in everyday life.
Next, 7 examples of the use of artificial intelligence in our daily lives:
1. Voice assistants, the most loyal of companions
Siri, Alexa or Cortananames that some time ago would not have meant anything to us, but that today are part of everyday life in many homes.
The first personal assistants were created as early as 2003, but it is only in recent years that they have become fashionable. Or who doesn't ask their smart speaker for the weather? And the same goes for playing a song in the shower.
2. Smartphones: everything at your fingertips
Your smartphone is, without a doubt, synonymous with artificial intelligence. From using voice assistants such as those mentioned above, to taking selfies, to email. All of this works, based on AI.
In the case of e-mail, for example, the various services use artificial intelligence to identify spam messages, as well as e-mails with the possibility of viruses.
3. Robotics in everyday life: smart homes
In this list of 7 examples of the use of artificial intelligence in our daily lives, we cannot miss the so-called Smart houses.
Automation has arrived in the home. Kitchen robots, programmable showers with temperature and music, lights that turn on by themselves or rumbas. Not forgetting, of course, the popular Smart TVs, where you have access to the internet.
4. Social media monitoring
On the other hand, it is worth mentioning the famous social media algorithm. Both the notifications and the content you see are predisposed by artificial intelligence.
The user experience is key to making your navigation customised. This way, if you are offered the information you want, you will come back more often.
5. GPS and in-car geolocation systems
Firstly, AI is essential in the various navigation systems. For example, Google Maps warns you if there is a road blockage or the amount of traffic in real time.
It is also no longer unusual to have a car with an emergency button. This activates a geolocator and alerts the authorities in the event of an accident.
6. Shopping on the Internet: the case of E-commerce
In e-commerce, it is worth highlighting AI, when it comes to personalising your purchase. Featured products will appear, based on your tastes or searches.
7. Cybersecurity in the office
Finally, AI is used to improve the cybersecuritya fundamental aspect in your office. In fact, cyber-attacks are increasingly present in all types of companies, which is why this section also forms part of these 7 examples of the use of artificial intelligence in our daily lives.
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In education
Intelligent content creation: The digitisation of content such as video lectures, lectures and textbook guides can be done using Artificial Intelligence. We can apply different interfaces such as animations and learning content through personalisation for learners of different grades. Artificial Intelligence helps to create a rich learning experience by generating and providing audio and video summaries and lesson plans.
In Mobile App
Facial recognition: Our favourite devices, such as phones, laptops and PCs, use facial recognition techniques using facial filters to detect and identify in order to provide secure access. Apart from personal use, facial recognition is a widely used AI application even in areas related to high security in various industries.
In E-commerce
Recommendation system: Several platforms that we use in our daily lives, such as e-commerce, entertainment websites, social networks, video sharing platforms like YouTube, etc., use the recommendation system to obtain data from users and offer them personalised recommendations to increase their engagement. This is a widely used AI application in almost all sectors.
Applications of Artificial Intelligence in agriculture
Artificial Intelligence is used to identify soil defects and nutrient deficiencies. Computer vision, robotics and machine learning applications are used for this. AI can analyse where weeds are growing. AI robots can help harvest crops at a higher volume and at a faster rate than human workers.
Applications of Artificial Intelligence in healthcare
Artificial Intelligence finds diverse applications in the healthcare sector. AI applications are used in healthcare to build sophisticated machines capable of detecting diseases and identifying cancer cells. AI can help analyse chronic diseases with laboratory and other medical data to ensure early diagnosis. AI uses the combination of historical data and medical intelligence for drug discovery.
AI in data security
Data security, which is one of the most important assets of any technology-driven enterprise, is one of the most prevalent and critical applications of AI. With sensitive data ranging from consumer data (such as credit card information) to organisational secrets held online, data security is vital for any institution to meet both legal and operational obligations. This work is now as difficult as it is vital, with many companies deploying AI-based security solutions to keep their data out of the wrong hands.
English (UK)