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==1 Title, abstract and keywords<!-- Your document should start with a concise and informative title. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible. Capitalize the first word of the title.
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==Abstract==
  
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It can be said that Artificial Intelligence (AI) is the digital technology that has probably achieved the most important impact and degree of social penetration, following an exponential evolution in recent years. Despite this recent explosion, AI has an almost century-old history, dating back to the work of scientists and technologists who laid its foundations from the second half of the last century. AI also has a long history in Catalonia that begins, among others, with the figure of Professor Emeritus Ramon López de Mántaras and the creation of the AI Research Institute of the CSIC (IIIA-CSIC). This article takes a tour of AI in Catalonia, starting with the main agents that make up the AI research ecosystem in our country. The CATALONIA.AI strategy, deployed since 2020, is presented next, highlighting the business innovation axes that are promoted by this strategy and that materialise with the activities led by the Centre for Innovation in Data Technologies and Artificial Intelligence (CIDAI), and which will be described both qualitatively and quantitatively. The article also addresses the transformative potential of AI, in conjunction with other closely related emerging technologies such as the Internet of Things (IoT), high-performance computing (HPC) or cloud computing and its most current variants such as edge computing. Next, the paper analyses the recurring barriers to a multisectoral implementation of AI, which, among others, refer to issues such as data availability or lack of qualified talent. The article presents the current state of AI in Catalonia based on the sectoral report recently published by ACCIO (May '24). It then focuses on Generative AI, illustrating the basic principles of the foundational models and developing the multisectoral and multimodal opportunities and the impact that this variant of AI will have on the different productive and business sectors. In parallel to these technological issues, the article also delves into the main consequences of the AI regulations that Europe has approved and how companies with products or services based on AI systems will have to adapt to them. Finally, the article gives an overview of future trends, with a special focus on quantum computing and its intersection with AI.
  
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An abstract is required for every document; it should succinctly summarize the reason for the work, the main findings, and the conclusions of the study. Abstract is often presented separately from the article, so it must be able to stand alone. For this reason, references and hyperlinks should be avoided. If references are essential, then cite the author(s) and year(s). Also, non-standard or uncommon abbreviations should be avoided, but if essential they must be defined at their first mention in the abstract itself. -->==
 
  
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Es pot afirmar que la Intel·ligència Artificial (IA) és la tecnologia de naturalesa digital que probablement ha assolit l'impacte i grau de penetració social més importants, seguint en els darrers anys una evolució de caràcter exponencial. Malgrat aquesta recent explosió la IA té una història gaire bé centenària, que es remunta al treball de científics i tecnòlegs que en van posar els fonaments a partir de la segona meitat del segle passat. La IA també té una llarga trajectòria a Catalunya que s'inicia, entre altres, amb la figura del Professor Emèrit Ramon López de Mántaras i la creació de l'Institut d'Investigació d'IA del CSIC (IIIA-CSIC). Aquest article fa un recorregut de la IA a Catalunya, començant pels principals agents que conformen l'ecosistema de la recerca en IA al nostre país. Tot seguit, es presenta l'estratègia CATALONIA.AI desplegada a partir de 2020, destacant els eixos d'innovació empresarial que s'impulsen des d'aquesta estratègia i que es materialitzen amb les activitats liderades pel Centre d'Innovació en tecnologies de Dades i Intel·ligència Artificial (CIDAI), i que es descriuran tant qualitativament com quantitativament. L'article aborda també el potencial transformador de la IA, en conjunció amb altres tecnologies emergents estretament relacionades com per exemple la Internet dels Objectes (IoT), la computació d'altes prestacions (HPC) o la computació al núvol i les seves variants més actuals com la computació a l'extrem. Tot seguit s'analitzen les barreres recurrents per a una implantació multisectorial de la IA i que, entre altres, fan referència a qüestions com disponibilitat de dades o manca de talent qualificat. L'article presenta l'estat actual de la IA a Catalunya a partir de l'informe sectorial recentment publicat per ACCIO (maig '24). A continuació es focalitza en la IA Generativa, il·lustrant els principis bàsics dels models fundacionals i desenvolupant les oportunitats multisectorials i multimodals i l'impacte que aquesta variant de la IA provocarà en els diferents sectors productius i de negocis. En paral·lel a aquestes qüestions de caire estrictament tecnològic l'article també s'endinsa en les principals conseqüències de les regulacions en IA que Europa ha aprovat i com s'hi hauran d'adaptar les empreses de productes o serveis basats en sistemes d'IA. Per últim, l'article dona una visió de les tendències futures fent especial focus a la computació quàntica i la seva intersecció amb la IA.
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==2 The main text<!-- You can enter and format the text of this document by selecting the ‘Edit’ option in the menu at the top of this frame or next to the title of every section of the document. This will give access to the visual editor. Alternatively, you can edit the source of this document (Wiki markup format) by selecting the ‘Edit source’ option.
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Latest revision as of 10:30, 21 July 2024

Abstract

It can be said that Artificial Intelligence (AI) is the digital technology that has probably achieved the most important impact and degree of social penetration, following an exponential evolution in recent years. Despite this recent explosion, AI has an almost century-old history, dating back to the work of scientists and technologists who laid its foundations from the second half of the last century. AI also has a long history in Catalonia that begins, among others, with the figure of Professor Emeritus Ramon López de Mántaras and the creation of the AI Research Institute of the CSIC (IIIA-CSIC). This article takes a tour of AI in Catalonia, starting with the main agents that make up the AI research ecosystem in our country. The CATALONIA.AI strategy, deployed since 2020, is presented next, highlighting the business innovation axes that are promoted by this strategy and that materialise with the activities led by the Centre for Innovation in Data Technologies and Artificial Intelligence (CIDAI), and which will be described both qualitatively and quantitatively. The article also addresses the transformative potential of AI, in conjunction with other closely related emerging technologies such as the Internet of Things (IoT), high-performance computing (HPC) or cloud computing and its most current variants such as edge computing. Next, the paper analyses the recurring barriers to a multisectoral implementation of AI, which, among others, refer to issues such as data availability or lack of qualified talent. The article presents the current state of AI in Catalonia based on the sectoral report recently published by ACCIO (May '24). It then focuses on Generative AI, illustrating the basic principles of the foundational models and developing the multisectoral and multimodal opportunities and the impact that this variant of AI will have on the different productive and business sectors. In parallel to these technological issues, the article also delves into the main consequences of the AI regulations that Europe has approved and how companies with products or services based on AI systems will have to adapt to them. Finally, the article gives an overview of future trends, with a special focus on quantum computing and its intersection with AI.


Resum

Es pot afirmar que la Intel·ligència Artificial (IA) és la tecnologia de naturalesa digital que probablement ha assolit l'impacte i grau de penetració social més importants, seguint en els darrers anys una evolució de caràcter exponencial. Malgrat aquesta recent explosió la IA té una història gaire bé centenària, que es remunta al treball de científics i tecnòlegs que en van posar els fonaments a partir de la segona meitat del segle passat. La IA també té una llarga trajectòria a Catalunya que s'inicia, entre altres, amb la figura del Professor Emèrit Ramon López de Mántaras i la creació de l'Institut d'Investigació d'IA del CSIC (IIIA-CSIC). Aquest article fa un recorregut de la IA a Catalunya, començant pels principals agents que conformen l'ecosistema de la recerca en IA al nostre país. Tot seguit, es presenta l'estratègia CATALONIA.AI desplegada a partir de 2020, destacant els eixos d'innovació empresarial que s'impulsen des d'aquesta estratègia i que es materialitzen amb les activitats liderades pel Centre d'Innovació en tecnologies de Dades i Intel·ligència Artificial (CIDAI), i que es descriuran tant qualitativament com quantitativament. L'article aborda també el potencial transformador de la IA, en conjunció amb altres tecnologies emergents estretament relacionades com per exemple la Internet dels Objectes (IoT), la computació d'altes prestacions (HPC) o la computació al núvol i les seves variants més actuals com la computació a l'extrem. Tot seguit s'analitzen les barreres recurrents per a una implantació multisectorial de la IA i que, entre altres, fan referència a qüestions com disponibilitat de dades o manca de talent qualificat. L'article presenta l'estat actual de la IA a Catalunya a partir de l'informe sectorial recentment publicat per ACCIO (maig '24). A continuació es focalitza en la IA Generativa, il·lustrant els principis bàsics dels models fundacionals i desenvolupant les oportunitats multisectorials i multimodals i l'impacte que aquesta variant de la IA provocarà en els diferents sectors productius i de negocis. En paral·lel a aquestes qüestions de caire estrictament tecnològic l'article també s'endinsa en les principals conseqüències de les regulacions en IA que Europa ha aprovat i com s'hi hauran d'adaptar les empreses de productes o serveis basats en sistemes d'IA. Per últim, l'article dona una visió de les tendències futures fent especial focus a la computació quàntica i la seva intersecció amb la IA.

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