{"id":65742,"date":"2023-09-06T13:47:01","date_gmt":"2023-09-06T16:47:01","guid":{"rendered":"https:\/\/abes.org.br\/?p=65742"},"modified":"2023-08-11T15:52:29","modified_gmt":"2023-08-11T18:52:29","slug":"gartner-anuncia-as-principais-tendencias-que-irao-moldar-o-futuro-de-data-science-e-machine-learning","status":"publish","type":"post","link":"https:\/\/abes.org.br\/en\/gartner-anuncia-as-principais-tendencias-que-irao-moldar-o-futuro-de-data-science-e-machine-learning\/","title":{"rendered":"Gartner announces key trends that will shape the future of data science and machine learning"},"content":{"rendered":"<p style=\"text-align: center\"><i>As Machine Learning adoption grows, Data Science Machine Learning evolves from a focus on predictive models to a more democratized, data-centric discipline<\/i><\/p>\n<p>&nbsp;<\/p>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\">O\u00a0<\/span><span class=\"m_-7587352961516383550normaltextrun\"><b>Gartner<\/b><\/span><span class=\"m_-7587352961516383550normaltextrun\">, a world leader in research and advice for companies, announces the main trends that will impact the future of Data Science and\u00a0<i>Machine Learning<\/i>\u00a0(Machine Learning) as the sector grows and evolves rapidly to meet the increasing importance of Artificial Intelligence (AI) data and particularly investments in\u00a0<\/span><a href=\"https:\/\/www.gartner.com\/en\/topics\/generative-ai\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com\/en\/topics\/generative-ai&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw2HL7fmzfEQQK05TLMkpvBb\"><span class=\"m_-7587352961516383550normaltextrun\">Generative Artificial Intelligence<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">.<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<div>\n<div id=\"attachment_65743\" style=\"width: 241px\" class=\"wp-caption alignright\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-65743\" class=\"wp-image-65743 size-full\" src=\"https:\/\/abes.org.br\/wp-content\/uploads\/2023\/08\/Peter-Krensky.jpg\" alt=\"\" width=\"231\" height=\"226\" srcset=\"https:\/\/abes.org.br\/wp-content\/uploads\/2023\/08\/Peter-Krensky.jpg 231w, https:\/\/abes.org.br\/wp-content\/uploads\/2023\/08\/Peter-Krensky-12x12.jpg 12w\" sizes=\"(max-width: 231px) 100vw, 231px\" \/><p id=\"caption-attachment-65743\" class=\"wp-caption-text\">Peter Krensky, analyst and director at Gartner<\/p><\/div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\">Second\u00a0<\/span><a href=\"https:\/\/www.gartner.com\/en\/experts\/peter-krensky\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com\/en\/experts\/peter-krensky&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw0Rb5XRW6u1i_6zlz8y7fQp\"><span class=\"m_-7587352961516383550normaltextrun\">Peter Krensky<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">, analyst and director at Gartner, \u201cAs machine learning adoption continues to grow rapidly across industries, DSML (<\/span><span class=\"m_-7587352961516383550normaltextrun\"><i>Data Science Machine Learning)\u00a0<\/i><\/span><span class=\"m_-7587352961516383550normaltextrun\">is evolving from just focusing on predictive models to a more democratized, dynamic, and data-centric discipline. This is also fueled by the fervor around Generative Artificial Intelligence. Despite the emergence of potential risks, several new capabilities and use cases for data scientists and their organizations are emerging.\u201d<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\">According to Gartner, the main trends that are shaping the future of\u00a0<\/span><span class=\"m_-7587352961516383550normaltextrun\"><i>Data Science Machine Learning\u00a0<\/i><\/span><span class=\"m_-7587352961516383550normaltextrun\">are:<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\"><b>Trend 1: Cloud Data Ecosystems -\u00a0<\/b><\/span><span class=\"m_-7587352961516383550normaltextrun\">You\u00a0<\/span><a href=\"https:\/\/www.gartner.com\/en\/webinar\/429874\/1032412\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com\/en\/webinar\/429874\/1032412&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw2iZ8yH5Hms9SYCseH6sTAm\"><span class=\"m_-7587352961516383550normaltextrun\">data ecosystems<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">\u00a0are moving from standalone programs or bundled implementations to complete native solutions stored in\u00a0<\/span><a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2023-04-19-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-reach-nearly-600-billion-in-2023\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2023-04-19-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-reach-nearly-600-billion-in-2023&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw2ywU2-UViSn9uDV1ZCCHDZ\"><span class=\"m_-7587352961516383550normaltextrun\">A cloud<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">. By 2024, Gartner expects 50% of new Cloud systems implementations to be based on a cohesive data ecosystem rather than manually integrated point solutions. Gartner recommends that companies evaluate\u00a0<\/span><a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2023-05-09-gartner-identifies-the-top-ten-data-and-analytics-trends-for-20230\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2023-05-09-gartner-identifies-the-top-ten-data-and-analytics-trends-for-20230&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw2SnzU8em0FnZHdpITCs8J9\"><span class=\"m_-7587352961516383550normaltextrun\">data ecosystems<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">\u00a0based on the ability to solve distributed data challenges as well as access and integrate sources outside of your environment.<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\"><b>Trend 2: Edge AI \u2013\u00a0<\/b><\/span><span class=\"m_-7587352961516383550normaltextrun\">The demand for\u00a0<\/span><a href=\"https:\/\/www.gartner.com.au\/en\/articles\/what-is-new-in-artificial-intelligence-from-the-2022-gartner-hype-cycle\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com.au\/en\/articles\/what-is-new-in-artificial-intelligence-from-the-2022-gartner-hype-cycle&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw018IjRXbUH0KN9TLDCQaI3\"><span class=\"m_-7587352961516383550normaltextrun\">Edge AI<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">\u00a0is growing to enable data processing at the point of creation at the edge, helping companies achieve\u00a0<i>insights<\/i>\u00a0in real time, detect new patterns and meet strict data privacy requirements. Edge AI also helps companies improve the development, orchestration, integration and deployment of Artificial Intelligence.<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\">Gartner predicts that by 2025 more than 55% of all deep neural network data analysis will occur at the point of capture in an edge system, a number that in 2021 was above less than 10%. Companies must identify the applications, AI training and information needed to achieve edge environments near Internet of Things (IoT) devices.<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\"><b>Trend 3: Responsible Artificial Intelligence \u2013\u00a0<\/b><\/span><span class=\"m_-7587352961516383550normaltextrun\">THE\u00a0<\/span><a href=\"https:\/\/www.gartner.com\/en\/webinar\/429866\/1032387\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com\/en\/webinar\/429866\/1032387&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw1U72yCk-IyWFlXAyKEScas\"><span class=\"m_-7587352961516383550normaltextrun\">Responsible Artificial Intelligence<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">\u00a0makes technology a positive force, rather than a threat to society and itself.<\/span><span class=\"m_-7587352961516383550normaltextrun\">\u00a0<\/span><span class=\"m_-7587352961516383550normaltextrun\">It covers several aspects of the business process and the right ethical choices in technology adoption that companies often address independently, such as commercial and social value, risk, trust, transparency and responsibility. Gartner predicts that the concentration of pre-trained AI models among 1% AI vendors by 2025 will make responsible technology a societal concern.<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\">The company recommends that companies adopt a\u00a0<\/span><a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2023-04-20-why-trust-and-security-are-essential-for-the-future-of-generative-ai\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2023-04-20-why-trust-and-security-are-essential-for-the-future-of-generative-ai&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw1WaJ1yi9uhmX_X4hfRISPp\"><span class=\"m_-7587352961516383550normaltextrun\">risk-proportionate approach<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">\u00a0to add value to Artificial Intelligence and to take care when applying solutions and models. They must seek guarantees from suppliers to ensure that they are managing their risks and obligations, protecting companies from possible financial losses, legal actions and reputational damage.<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\"><b>Trend 4: Data Centric AI \u2013\u00a0<\/b><\/span><span class=\"m_-7587352961516383550normaltextrun\">Data-centric Artificial Intelligence represents a shift from an approach previously focused on models and codes, creating better systems that rely on this technology. Artificial Intelligence Solutions\u00a0<i>Data Management, Synthetic Data and Data Labeling\u00a0<\/i>aim to solve many challenges, including accessibility, volume, privacy, security, complexity and scopes.<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\">The use of\u00a0<\/span><a href=\"https:\/\/www.gartner.com\/en\/articles\/beyond-chatgpt-the-future-of-generative-ai-for-enterprises\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com\/en\/articles\/beyond-chatgpt-the-future-of-generative-ai-for-enterprises&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw2ssM3jaAJNTPvPh7lbo7AV\"><span class=\"m_-7587352961516383550normaltextrun\">Generative Artificial Intelligence<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">\u00a0to create\u00a0<i>Synthetic Data<\/i>\u00a0is an area that is growing rapidly, easing the burden of getting real-world data for business models to use.\u00a0<i>Machine Learning<\/i>\u00a0can be trained efficiently. By 2024, Gartner predicts that 60% of data for Artificial Intelligence will be\u00a0<i>Synthetic Data\u00a0<\/i>to simulate reality, future scenarios and risk technologies, against 1% registered in 2021.<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><u><\/u><u><\/u><\/p>\n<\/div>\n<div>\n<p class=\"m_-7587352961516383550paragraph\"><span class=\"m_-7587352961516383550normaltextrun\"><b>Trend 5: Accelerated investment in Artificial Intelligence \u2013\u00a0<\/b><\/span><span class=\"m_-7587352961516383550normaltextrun\">Investment in Artificial Intelligence will continue to grow through\u00a0<\/span><a href=\"https:\/\/www.gartner.com\/en\/articles\/what-cios-need-to-know-about-deploying-ai\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com\/en\/articles\/what-cios-need-to-know-about-deploying-ai&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw1SQDoRZFuBrCr9nM9wbNpa\"><span class=\"m_-7587352961516383550normaltextrun\">companies that implement the solution<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">, as well as by industries that seek to grow through technologies and businesses based on this technology. By the end of 2026, Gartner predicts that more than US$ 10 billion will be invested in Artificial Intelligence startups that rely on\u00a0<i>foundation models,<\/i>\u00a0which are large technology models trained with a high volume of data. One\u00a0<\/span><a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2023-05-03-gartner-poll-finds-45-percent-of-executives-say-chatgpt-has-prompted-an-increase-in-ai-investment\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2023-05-03-gartner-poll-finds-45-percent-of-executives-say-chatgpt-has-prompted-an-increase-in-ai-investment&amp;source=gmail&amp;ust=1691832624735000&amp;usg=AOvVaw2YzxG56T-B4YQM4QJrnGpE\"><span class=\"m_-7587352961516383550normaltextrun\">recent Gartner research<\/span><\/a><span class=\"m_-7587352961516383550normaltextrun\">\u00a0with more than 2,500 leading executives found that 45% of these professionals report that the recent\u00a0<i>hype<\/i>\u00a0around ChatGPT led them to increase investments in Artificial Intelligence. Some 70% say their companies are investigating and exploring generative technology, while 19% are in pilot or early production mode.<\/span><span class=\"m_-7587352961516383550eop\">\u00a0<\/span><\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u00c0 medida que a ado\u00e7\u00e3o do Aprendizado por M\u00e1quina\u00a0cresce,\u00a0o Data Science Machine\u00a0Learning evolui e passa a focar em modelos preditivos para uma disciplina mais democratizada e centrada em dados &nbsp; O\u00a0Gartner, l\u00edder mundial em pesquisa e aconselhamento para empresas, anuncia as principais tend\u00eancias que ir\u00e3o impactar\u00a0o futuro de Data Science\u00a0e\u00a0Machine\u00a0Learning\u00a0(Aprendizado de M\u00e1quina)\u00a0\u00e0 medida que o 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