{"id":106788,"date":"2020-10-15T14:59:26","date_gmt":"2020-10-15T14:59:26","guid":{"rendered":"https:\/\/eurecat.org\/?p=106788"},"modified":"2020-10-27T12:21:42","modified_gmt":"2020-10-27T12:21:42","slug":"ai-big-data-congress-underscores-predictive-capability-afforded-artificial-intelligence-puts-businesses-competitive-advantage","status":"publish","type":"post","link":"https:\/\/eurecat.org\/en\/ai-big-data-congress-underscores-predictive-capability-afforded-artificial-intelligence-puts-businesses-competitive-advantage\/","title":{"rendered":"AI &#038; Big Data Congress underscores how the predictive capability afforded by artificial intelligence puts businesses at a competitive advantage"},"content":{"rendered":"<p>The predictive capability afforded by <strong>artificial intelligence<\/strong> puts businesses at a competitive advantage. This was spelled out at the <strong><a href=\"https:\/\/aicongress.barcelona\/en\/\" target=\"_blank\" rel=\"noopener noreferrer\">AI &amp; Big Data Congress<\/a><\/strong> which emphasised the importance of early adoption of this technology in generating more economic activity and jobs along with the support it provides in reworking organisational intelligence against today\u2019s backdrop of the COVID-19 pandemic.<\/p>\n<p>The director of the AI &amp; Big Data Congress, <strong>Marc Torrent<\/strong>, who heads the Centre of Innovation for Data tech and Artificial Intelligence (<a href=\"https:\/\/cidai.eu\/en\/\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>CIDAI<\/strong><\/a>) and Eurecat\u2019s Big Data &amp; Data Science Unit, listed the areas of activity where a significant transfer of artificial intelligence is envisaged. They include agriculture, energy and sustainability, language and speech, mobility, health and wellbeing, education, cultural and experience-based industries and industry 4.0.<\/p>\n<p>\u201cCountries investing heavily in artificial intelligence will achieve more economic growth and consequently more business and job creation together with higher quality adoption anchored in its principles and not with imported technology,\u201d said <strong>Daniel Marco<\/strong>, the Catalan Government\u2019s Director General of Innovation and Digital Economy, in the welcome session at the congress.<\/p>\n<p>Artificial intelligence \u201cis perhaps one of the digital technologies which will have the greatest impact on enterprises, society and the community,\u201d added Marco, who estimated that there are 180 businesses in this field in Catalonia which he pointed out have turnover coming to \u20ac1.35 billion.<\/p>\n<p>\u201cArtificial intelligence will be one of the factors that make businesses stand out,\u201d agreed the President of <a href=\"https:\/\/eurecat.org\/en\/\" target=\"_blank\" rel=\"noopener noreferrer\">Eurecat<\/a>, <strong>Xavier Torra<\/strong>, who noted that the predictive capability afforded by this technology \u201cenhances the value of data collection and processing\u201d.<\/p>\n<p>Torra believes that \u201cartificial intelligence offers midsized companies affordable opportunities to stand out from the rest, to compete in markets which are increasingly challenging.\u201d<\/p>\n<p><strong>Michael Donaldson<\/strong>, Commissioner of Technological Innovation, Electronic Administration and Good Governance at Barcelona City Council, \u200b\u200bcommented that \u201cin addition to the predictive capability provided by understanding big data and artificial intelligence, there is also the ability to adapt\u201d from the standpoint of \u201cmore personal, more collective, more organisational intelligence\u201d given its significance in the current setting.<\/p>\n<p>Donaldson said that Barcelona City Council is at present rolling out a Government Measure, a strategy to build in AI as a means of enhancing public service delivery with particular emphasis on the ethical implications to ensure that emerging technologies do not trigger further discrimination.<\/p>\n<p>In his talk, Marc Torrent outlined the CIDAI\u2019s objectives and listed some of its projects for 2020. They include using deep learning for diagnosing lung tumours, predicting accident rates to improve traffic control infrastructures, enhancing selective recycling and using machine learning in encrypted datasets while maintaining information confidentiality.<\/p>\n<h2>Trends and challenges<\/h2>\n<p>The congress featured a keynote by <strong>David Carmona<\/strong>, Microsoft\u2019s General Manager of Artificial Intelligence and Innovation, who discussed the main scenarios where AI is being applied in the current context as well as the most important technological trends for the future.<\/p>\n<p>In his view, after a period spent on pilot tests and evaluating and exploring artificial intelligence, \u201cthe present crisis has fast-tracked the stage of starting up AI tied to business results\u201d.<\/p>\n<p>\u201cWe are seeing how many enterprises are using it to respond to the crisis in much more tactical scenarios, while we will also see, when we slowly but surely get back to a new normal, how artificial intelligence will be a distinct tool for differentiation and will be part of reimagining business,\u201d he argued.<\/p>\n<p>Similarly, Carmona singled out process optimisation, employee productivity and customer service as three scenarios in which \u201cartificial intelligence can very easily lend a hand today with no need for major investment\u201d.<\/p>\n<p><strong>Oriol Vinyals<\/strong>, Research Director in Deep Learning at Google DeepMind, also talked about the latest trends in machine learning and outlined the challenges and breakthroughs in deep learning which are likely to happen in the next few years.<\/p>\n<p>\u201cOften the easiest solutions end up being the best\u201d for developing products designed to solve a problem said Vinyals. He thinks that the time between the development of an idea and its market implementation is getting shorter as a result of improved communication and procedures involving researchers, product managers and software engineers.<\/p>\n<p>The AI &amp; Big Data Congress is a CIDAI initiative coordinated by Eurecat and sponsored by the Catalan Government, the SDG Group, Microsoft, everis and CaixaBank.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The predictive capability afforded by artificial intelligence puts businesses at a competitive advantage. This was spelled out at the AI &amp; Big Data Congress which emphasised the importance of early adoption of this technology in generating more economic activity and jobs along with the support it provides in reworking organisational intelligence against today\u2019s backdrop of  [&#8230;]<\/p>\n","protected":false},"author":27,"featured_media":106393,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[415,743,1895],"tags":[],"class_list":["post-106788","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data-en","category-press-notes-en","category-tic"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI &amp; Big Data Congress underscores how the predictive capability afforded by artificial intelligence puts businesses at a competitive advantage - Eurecat<\/title>\n<meta name=\"description\" content=\"AI &amp; 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