{"id":205777,"date":"2024-08-08T02:23:33","date_gmt":"2024-08-08T01:23:33","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=blog&#038;p=205777"},"modified":"2024-10-28T17:16:12","modified_gmt":"2024-10-28T17:16:12","slug":"engie-eramet-schneider-electric-at-ai-for-industry-by-artefact-ai-for-decarbonization-in-industry","status":"publish","type":"blog","link":"https:\/\/www.artefact.com\/br\/blog\/engie-eramet-schneider-electric-at-ai-for-industry-by-artefact-ai-for-decarbonization-in-industry\/","title":{"rendered":"ENGIE, ERAMET &amp; SCHNEIDER ELECTRIC na AI for Industry by Artefact - AI for decarbonization in industry"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--link_color: var(--awb-color6);--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1 description\" style=\"--awb-text-color:var(--awb-color5);--awb-text-font-family:&quot;PT Serif&quot;;--awb-text-font-style:normal;--awb-text-font-weight:400;\"><p>AI for Industry Summit by Artefact - 17 de setembro de 2024 - Paris<\/p>\n<p>Principais aprendizados do painel de discuss\u00e3o com Jean-Loup Loyer, Chief Data &amp; AI Officer da Eramet, Philippe Rambach, SVP, Chief AI Officer da Schneider Electric, e Mihir Sarkar, Head of AI, Engie Research &amp; Innovation da ENGIE.<br \/>\nModerado por Jeremy Hamelin, diretor de ecossistemas de IA da Artefact Open Innovation.<\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div style=\"text-align:center;\"><a class=\"fusion-button button-flat fusion-button-default-size button-default fusion-button-default button-1 fusion-button-default-span fusion-button-default-type button-primary-medium\" style=\"--awb-margin-bottom:40px;--button_text_transform:var(--awb-custom_typography_2-text-transform);--button_font_size:var(--awb-custom_typography_2-font-size);--button_line_height:var(--awb-custom_typography_2-line-height);--button_typography-letter-spacing:var(--awb-custom_typography_2-letter-spacing);--button_typography-font-family:var(--awb-custom_typography_2-font-family);--button_typography-font-weight:var(--awb-custom_typography_2-font-weight);--button_typography-font-style:var(--awb-custom_typography_2-font-style);\" target=\"_self\" data-hover=\"text_slide_down\" href=\"https:\/\/marketing.artefact.com\/l\/597421\/2024-10-23\/j35tm6\" rel=\"noopener\"><div class=\"awb-button-text-transition  awb-button__hover-content--centered\"><span class=\"fusion-button-text awb-button__text awb-button__text--default\">Relat\u00f3rio de IA para o setor<\/span><span class=\"fusion-button-text awb-button__text awb-button__text--default\">Relat\u00f3rio de IA para o setor<\/span><\/div><\/a><\/div><\/div><\/div><\/div><\/div><article class=\"fusion-fullwidth fullwidth-box fusion-builder-row-3 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--link_color: var(--awb-color6);--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-justify-content-center fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:670px;--awb-max-height:377px;--awb-align-self:center;--awb-width:100%;--awb-margin-bottom:20px;\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:56.27%;\" ><iframe title=\"Reprodutor de v\u00eddeo do YouTube 1\" src=\"https:\/\/www.youtube.com\/embed\/GZMqxI9ME6g?wmode=transparent&autoplay=0\" width=\"670\" height=\"377\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">Introdu\u00e7\u00e3o \u00e0 IA para descarboniza\u00e7\u00e3o na ind\u00fastria<\/h2><\/div><div class=\"fusion-text fusion-text-2\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>A discuss\u00e3o sobre IA para descarboniza\u00e7\u00e3o na ind\u00fastria, com a participa\u00e7\u00e3o da Schneider Electric, Engie e Eramet, explora como o artificial intelligence ajuda a reduzir as emiss\u00f5es de carbono e aumentar a efici\u00eancia energ\u00e9tica. A conversa se concentra em como a IA \u00e9 aplicada no gerenciamento de energia, otimiza\u00e7\u00e3o e tomada de decis\u00f5es para apoiar a transi\u00e7\u00e3o energ\u00e9tica.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">IA na otimiza\u00e7\u00e3o da demanda de energia na Schneider Electric<\/h2><\/div><div class=\"fusion-text fusion-text-3\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Philippe Rambach, diretor de IA da Schneider Electric, destaca o papel que a IA desempenha na otimiza\u00e7\u00e3o da demanda de energia. Ele enfatiza a import\u00e2ncia de gerenciar a demanda de energia juntamente com o aumento do fornecimento de energia renov\u00e1vel. A IA ajuda a Schneider Electric a reduzir o consumo de energia para os mesmos resultados, como aquecimento ou resfriamento. Por meio do aprendizado de m\u00e1quina, os modelos de IA preveem as necessidades de energia e ajustam o uso, reduzindo o desperd\u00edcio. A IA tamb\u00e9m otimiza o uso de energia renov\u00e1vel em edif\u00edcios, tomando decis\u00f5es em tempo real sobre quando armazenar ou vender o excesso de energia de volta \u00e0 rede, maximizando os benef\u00edcios financeiros e ambientais.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-3 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">A abordagem da Engie para a IA na produ\u00e7\u00e3o e gest\u00e3o de energia<\/h2><\/div><div class=\"fusion-text fusion-text-4\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Mihir Sarkar, Head of AI, Engie Research &amp; Innovation, explica como a empresa est\u00e1 focada na transi\u00e7\u00e3o para uma economia neutra em carbono por meio da eletrifica\u00e7\u00e3o e do uso estrat\u00e9gico do g\u00e1s. A IA ajuda a gerenciar a variabilidade das fontes de energia renov\u00e1veis, equilibrando-as com as usinas t\u00e9rmicas. A manuten\u00e7\u00e3o preditiva baseada em IA garante a opera\u00e7\u00e3o eficiente das usinas t\u00e9rmicas, reduzindo as emiss\u00f5es. A IA tamb\u00e9m desempenha um papel na melhoria do envolvimento das partes interessadas e na acelera\u00e7\u00e3o da implanta\u00e7\u00e3o de projetos de energia, otimizando sua pegada ambiental.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-4 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">O uso da IA pela Eramet na minera\u00e7\u00e3o para descarboniza\u00e7\u00e3o<\/h2><\/div><div class=\"fusion-text fusion-text-5\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Jean-Loup Loyer, Diretor de IA e Data da Eramet, discute como a IA est\u00e1 ajudando o setor de minera\u00e7\u00e3o a reduzir sua pegada de carbono. A Eramet, que produz metais essenciais para sistemas de energia renov\u00e1vel, utiliza processos que consomem muita energia. A IA ajuda a otimizar o consumo de energia nos locais de minera\u00e7\u00e3o, selecionando as fontes de energia mais eficientes em termos de carbono em tempo real. Al\u00e9m disso, a IA reduz o consumo de combust\u00edvel dos caminh\u00f5es de minera\u00e7\u00e3o e melhora os processos nos fornos para reduzir as emiss\u00f5es de carbono.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-5 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">Desafios do dimensionamento da IA para descarboniza\u00e7\u00e3o<\/h2><\/div><div class=\"fusion-text fusion-text-6\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Os participantes do painel concordam que o dimensionamento das solu\u00e7\u00f5es de IA \u00e9 o pr\u00f3ximo grande desafio. Embora a IA j\u00e1 esteja ajudando a otimizar o uso de energia e a reduzir as emiss\u00f5es, s\u00e3o necess\u00e1rias uma ado\u00e7\u00e3o mais ampla e uma redu\u00e7\u00e3o de custos. O conceito de \u201cIA frugal\u201d, que usa modelos mais simples e menos intensivos em energia, \u00e9 essencial. O monitoramento do consumo de energia da pr\u00f3pria IA e a garantia de que seus benef\u00edcios ambientais superem seus custos s\u00e3o cruciais para a implanta\u00e7\u00e3o em larga escala.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-6 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">Equil\u00edbrio entre o consumo de energia da IA e os benef\u00edcios ambientais<\/h2><\/div><div class=\"fusion-text fusion-text-7\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>A IA desempenha um papel transformador na descarboniza\u00e7\u00e3o ao otimizar o uso de energia e melhorar a efici\u00eancia em todos os setores. Entretanto, continua sendo importante gerenciar o impacto ambiental da pr\u00f3pria IA, especialmente os modelos que consomem muita energia, como a IA generativa. O uso da IA deve ser cuidadosamente equilibrado para garantir que sua contribui\u00e7\u00e3o para a redu\u00e7\u00e3o das emiss\u00f5es de carbono seja maior do que os recursos que ela consome.<\/p>\n<\/div><\/div><\/div><\/div><\/article><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-4 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-3 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div style=\"text-align:center;\"><a class=\"fusion-button button-flat fusion-button-default-size button-default fusion-button-default button-2 fusion-button-default-span fusion-button-default-type button-primary-medium\" style=\"--awb-margin-top:20px;--button_text_transform:var(--awb-custom_typography_2-text-transform);--button_font_size:var(--awb-custom_typography_2-font-size);--button_line_height:var(--awb-custom_typography_2-line-height);--button_typography-letter-spacing:var(--awb-custom_typography_2-letter-spacing);--button_typography-font-family:var(--awb-custom_typography_2-font-family);--button_typography-font-weight:var(--awb-custom_typography_2-font-weight);--button_typography-font-style:var(--awb-custom_typography_2-font-style);\" target=\"_self\" data-hover=\"text_slide_down\" href=\"https:\/\/marketing.artefact.com\/l\/597421\/2024-10-23\/j35tm6\" rel=\"noopener\"><div class=\"awb-button-text-transition  awb-button__hover-content--centered\"><span class=\"fusion-button-text awb-button__text awb-button__text--default\">Relat\u00f3rio de IA para o setor<\/span><span class=\"fusion-button-text awb-button__text awb-button__text--default\">Relat\u00f3rio de IA para o setor<\/span><\/div><\/a><\/div><\/div><\/div><\/div><\/div><\/p>","protected":false},"excerpt":{"rendered":"<p>Principais li\u00e7\u00f5es aprendidas no painel de discuss\u00e3o com Jean-Loup Loyer, Diretor de Data e IA da Eramet, Philippe Rambach, Vice-presidente S\u00eanior e Diretor de IA da Schneider Electric, e Mihir Sarkar, Chefe de IA da Engie Research &amp; Innovation na ENGIE. <\/p>","protected":false},"featured_media":205778,"parent":0,"template":"","meta":{"_acf_changed":false,"ep_exclude_from_search":false},"blog-category":[21932],"blog-language":[2991],"class_list":["post-205777","blog","type-blog","status-publish","has-post-thumbnail","hentry","blog-category-industrial-energy-utilities","blog-language-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog\/205777","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/types\/blog"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/media\/205778"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/media?parent=205777"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog-category?post=205777"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog-language?post=205777"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}