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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==
  
Provide a maximum of 6 keywords, and avoiding general and plural terms and multiple concepts (avoid, for example, 'and', 'of'). Be sparing with abbreviations: only abbreviations firmly established in the field should be used. These keywords will be used for indexing purposes.
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It can be stated that Artificial Intelligence (AI) is the digital technology that has achieved one of the most important impact and social penetration level, following an exponential evolution in recent years. Despite this 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 look at AI in Catalonia, starting with the main agents that make up the AI research and innovation ecosystem in our country.
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The current state of AI in Catalonia is presented based on the sectoral report published by ACCIO in May '24, and then the CATALONIA.AI strategy promoted by the Government of Catalonia and deployed from 2020 is described. The axis of business innovation that is promoted by this strategy and that materializes in the Center for Innovation in Data Technologies and Artificial Intelligence (CIDAI) is detailed, describing both qualitatively and quantitatively the most significant activities that it promotes.  
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The article also addresses the transformative potential of AI in business from two points of view. The first one addresses the business applications of analytical AI in conjunction with other technologies in the context of Industry 4.0. The second one 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.
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Next, the work 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.
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In parallel to these strictly 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.
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Finally, the article gives an insight into the impact of AI on sustainability and possible ways to solve it.
  
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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==Resum==
  
 
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Es pot afirmar que la Intel·ligència Artificial (IA) és la tecnologia de naturalesa digital que ha assolit un impacte i grau de penetració social dels 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 i la innovació en IA al nostre país.  
 
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Es presenta l'estat actual de la IA a Catalunya a partir de l'informe sectorial publicat per ACCIO el maig de 2024 i tot seguit, es descriu l'estratègia CATALONIA.AI impulsada pel Govern de Catalunya i desplegada a partir de 2020. Es detalla l’eix d'innovació empresarial que s'impulsa des d'aquesta estratègia i que es materialitza en el Centre d'Innovació en tecnologies de Dades i Intel·ligència Artificial (CIDAI), descrivint tant qualitativament com quantitativament les activitats més significatives que impulsa.  
==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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L'article aborda també el potencial transformador de la IA en l’empresa des de dos punts de vista. El primer aborda les aplicacions de negoci de la IA analítica en conjunció amb altres tecnologies en el context de la Indústria 4.0. El segon 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.
 
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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.  
Most of the documents in Scipedia are written in English (write your manuscript in American or British English, but not a mixture of these). Anyhow, specific publications in other languages can be published in Scipedia. In any case, the documents published in other languages must have an abstract written in English.
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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.  
 
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Per últim, l'article dona una visió de l’impacte de la IA en la sostenibilitat i possibles vies de solució.
 
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2.1 Subsections
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Divide your article into clearly defined and numbered sections. Subsections should be numbered 1.1, 1.2, etc. and then 1.1.1, 1.1.2, ... Use this numbering also for internal cross-referencing: do not just refer to 'the text'. Any subsection may be given a brief heading. Capitalize the first word of the headings.
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2.2 General guidelines
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Some general guidelines that should be followed in your manuscripts are:
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*  Symbols denoting vectors and matrices should be indicated in bold type. Scalar variable names should normally be expressed using italics.
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*  Use decimal points (not commas); use a space for thousands (10 000 and above).
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*  Follow internationally accepted rules and conventions. In particular use the international system of units (SI). If other quantities are mentioned, give their equivalent in SI.
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2.3 Tables, figures, lists and equations
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Please insert tables as editable text and not as images. Tables should be placed next to the relevant text in the article. Number tables consecutively in accordance with their appearance in the text and place any table notes below the table body. Be sparing in the use of tables and ensure that the data presented in them do not duplicate results described elsewhere in the article.
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Graphics may be inserted directly in the document and positioned as they should appear in the final manuscript.
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Number the figures according to their sequence in the text. Ensure that each illustration has a caption. A caption should comprise a brief title. Keep text in the illustrations themselves to a minimum but explain all symbols and abbreviations used. Try to keep the resolution of the figures to a minimum of 300 dpi. If a finer resolution is required, the figure can be inserted as supplementary material
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For tabular summations that do not deserve to be presented as a table, lists are often used. Lists may be either numbered or bulleted. Below you see examples of both.
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1. The first entry in this list
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Supplementary material can be inserted to support and enhance your article. This includes video material, animation sequences, background datasets, computational models, sound clips and more. In order to ensure that your material is directly usable, please provide the files with a preferred maximum size of 50 MB. Please supply a concise and descriptive caption for each file. -->==
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==3 Bibliography<!--
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Citations in text will follow a citation-sequence system (i.e. sources are numbered by order of reference so that the first reference cited in the document is [1], the second [2], and so on) with the number of the reference in square brackets. Once a source has been cited, the same number is used in all subsequent references. If the numbers are not in a continuous sequence, use commas (with no spaces) between numbers. If you have more than two numbers in a continuous sequence, use the first and last number of the sequence joined by a hyphen
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You should ensure that all references are cited in the text and that the reference list. References should preferably refer to documents published in Scipedia. Unpublished results should not be included in the reference list, but can be mentioned in the text. The reference data must be updated once publication is ready. Complete bibliographic information for all cited references must be given following the standards in the field (IEEE and ISO 690 standards are recommended). If possible, a hyperlink to the referenced publication should be given. See examples for Scipedia’s articles [1], other publication articles [2], books [3], book chapter [4], conference proceedings [5], and online documents [6], shown in references section below. -->==
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[2] Author, A. and Author, B. (Year) Title of the article. Title of the Publication. Volume number, first page-last page.
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Latest revision as of 19:06, 24 November 2024

Abstract

It can be stated that Artificial Intelligence (AI) is the digital technology that has achieved one of the most important impact and social penetration level, following an exponential evolution in recent years. Despite this 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 look at AI in Catalonia, starting with the main agents that make up the AI research and innovation ecosystem in our country. The current state of AI in Catalonia is presented based on the sectoral report published by ACCIO in May '24, and then the CATALONIA.AI strategy promoted by the Government of Catalonia and deployed from 2020 is described. The axis of business innovation that is promoted by this strategy and that materializes in the Center for Innovation in Data Technologies and Artificial Intelligence (CIDAI) is detailed, describing both qualitatively and quantitatively the most significant activities that it promotes. The article also addresses the transformative potential of AI in business from two points of view. The first one addresses the business applications of analytical AI in conjunction with other technologies in the context of Industry 4.0. The second one 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. Next, the work 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. In parallel to these strictly 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 insight into the impact of AI on sustainability and possible ways to solve it.


Resum

Es pot afirmar que la Intel·ligència Artificial (IA) és la tecnologia de naturalesa digital que ha assolit un impacte i grau de penetració social dels 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 i la innovació en IA al nostre país. Es presenta l'estat actual de la IA a Catalunya a partir de l'informe sectorial publicat per ACCIO el maig de 2024 i tot seguit, es descriu l'estratègia CATALONIA.AI impulsada pel Govern de Catalunya i desplegada a partir de 2020. Es detalla l’eix d'innovació empresarial que s'impulsa des d'aquesta estratègia i que es materialitza en el Centre d'Innovació en tecnologies de Dades i Intel·ligència Artificial (CIDAI), descrivint tant qualitativament com quantitativament les activitats més significatives que impulsa. L'article aborda també el potencial transformador de la IA en l’empresa des de dos punts de vista. El primer aborda les aplicacions de negoci de la IA analítica en conjunció amb altres tecnologies en el context de la Indústria 4.0. El segon 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. 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. 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 l’impacte de la IA en la sostenibilitat i possibles vies de solució.

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