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medida que as empresas procuram maneiras de automatizar processos, a Data Science pode ser usada para tornar tarefas mais eficientes e precisas.\r\n<div>\r\n\r\nData Science \u00e9 uma \u00e1rea multidisciplinar. Ela combina estat\u00edstica, programa\u00e7\u00e3o, an\u00e1lise de dados, machine learning e outras t\u00e9cnicas capazes de gerar conhecimentos e processos \u00fateis a partir de dados.\r\n\r\n<\/div>\r\n<div>\r\n\r\nComo ela tem sido cada vez mais valorizada nos \u00faltimos anos, \u00e9 importante falar sobre seus avan\u00e7os. Continue a leitura e descubra quais s\u00e3o as 6 tend\u00eancias dessa \u00e1rea para 2023.\r\n\r\n<\/div>\r\n<h2><strong>1. Intelig\u00eancia Artificial Respons\u00e1vel (IA) e Machine Learning (ML)\r\n<\/strong><\/h2>\r\n<div>A maturidade do desenvolvimento de um sistema artificial vai al\u00e9m dos avan\u00e7os processuais e t\u00e9cnicos. \u00c9 preciso, mais do que nunca, criar um cen\u00e1rio de responsabilidade e compromisso \u00e9tico.<\/div>\r\n<div>Da\u00ed a necessidade da Intelig\u00eancia Artificial Respons\u00e1vel, que trata das implica\u00e7\u00f5es da computa\u00e7\u00e3o aut\u00f4noma em contextos reais. Na pr\u00e1tica, isso significa ensinar m\u00e1quinas a tomarem decis\u00f5es que n\u00e3o prejudiquem os seres humanos.<\/div>\r\n<div>O que faz a IA se desenvolver s\u00e3o os dados. Ent\u00e3o, \u00e9 preciso fazer com que esses dados sejam usados com responsabilidade e boas inten\u00e7\u00f5es para evitar problemas relacionados \u00e0 seguran\u00e7a e reputa\u00e7\u00e3o de empresas e pessoas.<\/div>\r\n<h2><strong>\r\n2.\u00a0 Processamento de Linguagem Natural (NLP)\r\n<\/strong><\/h2>\r\n<div>\r\n\r\nO NLP \u00e9 uma \u00e1rea da IA que, basicamente, se dedica a desenvolver uma tecnologia capaz de criar c\u00f3digos para que m\u00e1quinas compreendam a linguagem dos seres humanos. Esse une, portanto, Lingu\u00edstica e Intelig\u00eancia Artificial.\r\n\r\n<\/div>\r\n<div>\r\n\r\nIsso gera um aprendizado de m\u00e1quina capaz de fazer tradu\u00e7\u00f5es de idiomas, reconhecer vozes, classificar t\u00f3picos textuais, criar imagens, entre outras coisas que conectam a linguagem humana \u00e0 computacional.\r\n\r\n<\/div>\r\n<div>\r\n\r\nA tend\u00eancia \u00e9 que o NLP aperfei\u00e7oe ainda mais as plataformas de buscas online e o desempenho de assistentes virtuais, como Siri e Alexa. Isso sem contar nas melhorias em\u00a0 chatbots e plataformas de buscas.\r\n\r\n<\/div>\r\n<h2><strong>\r\n3. Privacidade e seguran\u00e7a de dados\r\n<\/strong><\/h2>\r\n<div>\r\n\r\nA prote\u00e7\u00e3o de dados tem sido pauta de debates sobre a cria\u00e7\u00e3o de regulamenta\u00e7\u00f5es que tratam da coleta e armazenamento dos mesmos. A tend\u00eancia \u00e9 que outras Leis al\u00e9m da\u00a0 LGPD sejam implementadas em um futuro breve.\r\n\r\n<\/div>\r\n<div>\r\n\r\nCom isso, \u00e9 poss\u00edvel que haja o aumento de solu\u00e7\u00f5es que visam ajudar as pessoas e organiza\u00e7\u00f5es a protegerem suas informa\u00e7\u00f5es. Isso inclui servi\u00e7os de VPN, softwares de criptografia, gerenciadores de senhas, entre outros.\r\n\r\n<\/div>\r\n<div>\r\n\r\nVale dizer que a Intelig\u00eancia Artificial tem sido usada para detectar a\u00e7\u00f5es suspeitas e proteger as informa\u00e7\u00f5es. E isso continua a se desenvolver, sobretudo com o uso de t\u00e9cnicas como\u00a0<em>machine learning<\/em>\u00a0e an\u00e1lise de comportamento.\r\n\r\n<\/div>\r\n<h2><strong>\r\n4. Automa\u00e7\u00e3o de processos\r\n<\/strong><\/h2>\r\n<div>\r\n\r\nUma das tend\u00eancias em Data Science para 2023 \u00e9 a Automa\u00e7\u00e3o Rob\u00f3tica de Processos (RPA).\u00a0 Essa t\u00e9cnica utiliza rob\u00f4s para automatizar tarefas repetitivas e de baixo valor agregado.\r\n\r\n<\/div>\r\n<div>\r\n\r\nUm exemplo de aplica\u00e7\u00e3o de RPA relacionada \u00e0 ci\u00eancia de dados \u00e9 o gerenciamento de estoque. Nesse caso,\u00a0 \u00e9 poss\u00edvel, por meio do\u00a0<em>machine learning<\/em>,\u00a0 reordenar produtos e fazer pedidos de reposi\u00e7\u00e3o quando necess\u00e1rio.\r\n\r\n<\/div>\r\n<div>\r\n\r\nOutra tend\u00eancia \u00e9 a automa\u00e7\u00e3o de processos baseada em nuvem. Por meio desse recurso, \u00e9 poss\u00edvel acessar dados e ferramentas de qualquer lugar e a qualquer hora. Isso melhora significativamente a colaboratividade de equipes remotas.\r\n\r\n<\/div>\r\n<h2><strong>\r\n5. Democratiza\u00e7\u00e3o de dados\r\n<\/strong><\/h2>\r\n<div>\r\n\r\nTornar dados e suas respectivas ferramentas de an\u00e1lise mais acess\u00edveis est\u00e1 no radar das tend\u00eancias em data science. N\u00e3o \u00e9 \u00e0 toa que a busca por profissionais especialistas em cria\u00e7\u00e3o e gest\u00e3o de dashboards tem aumentado nos \u00faltimos anos.\r\n\r\n<\/div>\r\n<div>\r\n\r\nUma empresa pode, por exemplo, disponibilizar pain\u00e9is interativos para funcion\u00e1rios de todos os departamentos. Isso facilita a navega\u00e7\u00e3o e filtragem de informa\u00e7\u00f5es relevantes para cada contexto.\r\n\r\n<\/div>\r\n<div>\r\n\r\nA cria\u00e7\u00e3o de comunidades de dados, em que os funcion\u00e1rios possam compartilhar informa\u00e7\u00f5es e ideias sobre determinados temas, tamb\u00e9m est\u00e1 inserida nesse cen\u00e1rio. Essa estrat\u00e9gia \u00e9, inclusive, importante aliada da proatividade.\r\n\r\n<\/div>\r\n<h2><strong>\r\n6. An\u00e1lise de dados em tempo real\r\n<\/strong><\/h2>\r\n<div>\r\n\r\nA an\u00e1lise em tempo real permite que as empresas tomem decis\u00f5es mais rapidamente, com base nas informa\u00e7\u00f5es mais recentes. Isso pode ser particularmente \u00fatil em setores comerciais, financeiros e jur\u00eddicos, por exemplo.\r\n\r\n<\/div>\r\n<div>\r\n\r\nA detec\u00e7\u00e3o r\u00e1pida de problemas \u00e9 outro benef\u00edcio desse tipo de estrat\u00e9gia. Isso pode ajudar a minimizar danos e reduzir os tempos de inatividade em empresas que atuam em diferentes contextos.\r\n\r\n<\/div>\r\n<div>\r\n\r\nCom a an\u00e1lise em tempo real, as empresas tamb\u00e9m podem personalizar suas ofertas para atender \u00e0s necessidades espec\u00edficas de cada cliente, com base em seus comportamentos e prefer\u00eancias.\r\n\r\n<\/div>\r\n<div>\r\n\r\nAlguns exemplos de aplica\u00e7\u00f5es de an\u00e1lise de dados em tempo real incluem o monitoramento de dados de sensores em sistemas de manufatura, transa\u00e7\u00f5es em sistemas de com\u00e9rcio eletr\u00f4nico e a an\u00e1lise streaming.\r\n\r\n<\/div>\r\n<div>\r\n\r\nComo voc\u00ea notou, a Data Science est\u00e1 em constante evolu\u00e7\u00e3o. Estamos falando de uma \u00e1rea que oferece muitas oportunidades para profissionais com habilidades em an\u00e1lise de dados, programa\u00e7\u00e3o e estat\u00edstica.\r\n\r\n<\/div>\r\n<div>\r\n\r\nSe voc\u00ea deseja acompanhar as tend\u00eancias que mencionamos neste artigo, \u00e9 fundamental investir no desenvolvimento de sua carreira.\r\n\r\n<\/div>\r\n<div>No Le Wagon, voc\u00ea encontrar\u00e1 dezenas de cursos, bootcamps e workshops criados especialmente para quem busca atualiza\u00e7\u00e3o profissional. Fa\u00e7a parte de nossa comunidade e fique por dentro de tudo o que movimenta o mercado tech.<\/div>\r\n<div><\/div>","_contenu_de_larticle":"field_6412588b55814","titre_de_la_banniere":"","_titre_de_la_banniere":"field_6422eb732c237","paragraphe_de_la_banniere":"","_paragraphe_de_la_banniere":"field_6422ed834a968","intitule_du_bouton_de_la_banniere":"","_intitule_du_bouton_de_la_banniere":"field_6422ed934a969","lien_du_bouton_de_la_banniere":null,"_lien_du_bouton_de_la_banniere":null,"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>6 tend\u00eancias em Data Science para 2023 | Blog Le Wagon<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.lewagon.com\/pt-br\/career\/6-tendencias-em-data-science-para-2023\/\" \/>\n<meta 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