{"id":130294,"date":"2024-08-05T09:56:56","date_gmt":"2024-08-05T08:56:56","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=blog&#038;p=130294"},"modified":"2024-10-29T09:02:43","modified_gmt":"2024-10-29T09:02:43","slug":"totalenergies-trading-at-ai-for-finance-by-artefact-llm-for-trading","status":"publish","type":"blog","link":"https:\/\/www.artefact.com\/br\/blog\/totalenergies-trading-at-ai-for-finance-by-artefact-llm-for-trading\/","title":{"rendered":"TOTALENERGIES TRADING na AI for Finance por Artefact - LLM para negocia\u00e7\u00e3o"},"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>C\u00fapula de IA para finan\u00e7as por Artefact - 17 de setembro de 2024 - Paris<\/p>\n<p>Principais aprendizados da discuss\u00e3o entre Pierre Van Ingelandt, Diretor Digital - Chefe de Inova\u00e7\u00e3o da TotalEnergies Trading, e Lorenzo Croati, S\u00f3cio da Artefact.<\/p>\n<\/div><\/div><\/div><\/div><\/div><article class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 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-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 class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:670px;--awb-max-height:377px;--awb-align-self:center;--awb-width:100%;\"><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\/IpMXCVjOoxU?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<\/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>O v\u00eddeo discute o uso de modelos de linguagem ampla (LLMs) no com\u00e9rcio. A divis\u00e3o comercial da TotalEnergies, com 1.400 a 1.500 funcion\u00e1rios em centros globais, gerencia tanto o com\u00e9rcio de petr\u00f3leo quanto o de commodities mais novas, como g\u00e1s e eletricidade. O foco est\u00e1 nos desafios tecnol\u00f3gicos decorrentes dos diferentes n\u00edveis de maturidade das atividades comerciais, moldados pela estrat\u00e9gia multienerg\u00e9tica da empresa.<\/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;\">Diversos n\u00edveis de maturidade e desafios de digitaliza\u00e7\u00e3o<\/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>As diferentes \u00e1reas comerciais da TotalEnergies apresentam graus variados de digitaliza\u00e7\u00e3o. Por exemplo, o com\u00e9rcio de petr\u00f3leo usa sistemas de TI que datam de mais de 30 anos atr\u00e1s, exigindo manuseio ponto a ponto, enquanto o com\u00e9rcio de energia \u00e9 inerentemente mais digitalizado. Essas diferen\u00e7as representam desafios, especialmente na harmoniza\u00e7\u00e3o de roteiros e na tentativa de unificar os sistemas em toda a divis\u00e3o comercial.<\/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;\">Introdu\u00e7\u00e3o de agentes de IA geradores<\/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>O roteiro levou \u00e0 realiza\u00e7\u00e3o de experimentos com agentes de IA generativa para inspirar a ado\u00e7\u00e3o nas unidades de neg\u00f3cios. Dois casos de uso est\u00e3o agora em produ\u00e7\u00e3o: um para acesso a informa\u00e7\u00f5es e tomada de decis\u00f5es antes da negocia\u00e7\u00e3o e outro para detec\u00e7\u00e3o de anomalias ap\u00f3s a negocia\u00e7\u00e3o. O primeiro \u00e9 uma nova ferramenta de tomada de decis\u00e3o, enquanto o segundo aprimora uma solu\u00e7\u00e3o de aprendizado de m\u00e1quina existente.<\/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;\">Processo de colabora\u00e7\u00e3o e idea\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>Os casos de uso foram iniciados por meio de um processo colaborativo conduzido pela equipe de inova\u00e7\u00e3o. Eles realizaram workshops e apresenta\u00e7\u00f5es para inspirar as unidades de neg\u00f3cios e gerar ideias. As equipes interessadas em IA generativa, especialmente em opera\u00e7\u00f5es de middle-office, acompanharam ativamente desenvolvimentos como o ChatGPT e contribu\u00edram com ideias. Esse esp\u00edrito colaborativo permitiu a r\u00e1pida idea\u00e7\u00e3o e ado\u00e7\u00e3o de casos de uso, com o apoio de parceiros tecnol\u00f3gicos como a AWS para desenvolver projetos-piloto.<\/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;\">Vantagens e desafios dos casos de uso de LLM<\/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 agentes de IA agregaram valor \u00e0s fun\u00e7\u00f5es de neg\u00f3cios, mas trazem consigo desafios. As equipes de neg\u00f3cios agora precisam treinar e aprimorar ativamente os agentes. A TotalEnergies criou mecanismos para que as equipes forne\u00e7am instru\u00e7\u00f5es e feedback. A ado\u00e7\u00e3o varia, com algumas \u00e1reas adotando a tecnologia rapidamente, enquanto outras levam mais tempo. Os campe\u00f5es digitais em cada equipe ajudam a impulsionar essa ado\u00e7\u00e3o.<\/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;\">Ado\u00e7\u00e3o, treinamento e prepara\u00e7\u00e3o de equipes<\/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>O desenvolvimento e a implanta\u00e7\u00e3o de agentes de IA s\u00e3o, em grande parte, feitos no local, com uma combina\u00e7\u00e3o de aprendizado pr\u00e1tico e treinamento mais estruturado. As equipes tecnol\u00f3gicas enfrentam desafios significativos na prepara\u00e7\u00e3o dos sistemas de TI para a integra\u00e7\u00e3o da IA, exigindo suporte e uma mudan\u00e7a nos paradigmas de desenvolvimento. A IA generativa muda a forma como os sistemas s\u00e3o projetados, \u00e0s vezes necessitando de um \u201cagente supervisor\u201d para gerenciar agentes especializados para diferentes fun\u00e7\u00f5es, como pesquisas na Web e resumo de data.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-7 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;\">Medi\u00e7\u00e3o do ROI e principais aprendizados<\/h2><\/div><div class=\"fusion-text fusion-text-8\" 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>O caso de uso de detec\u00e7\u00e3o de anomalias mostra um ROI claro, pois a detec\u00e7\u00e3o de anomalias caras \u00e9 crucial, com a detec\u00e7\u00e3o baseada em LLM melhorando a precis\u00e3o em 20%. O ROI das ferramentas de tomada de decis\u00e3o \u00e9 mais dif\u00edcil de quantificar, geralmente baseado em feedback qualitativo sobre sua utilidade e efici\u00eancia. Os pilotos levam de 1 a 3 meses, dependendo da complexidade e das metas de desempenho.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-8 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;\">Perspectivas futuras e hackathon para novas ideias<\/h2><\/div><div class=\"fusion-text fusion-text-9\" 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 TotalEnergies est\u00e1 lan\u00e7ando mais iniciativas, incluindo um hackathon com a Artefact para gerar ideias de IA para negocia\u00e7\u00e3o. Mais de 50 ideias foram enviadas, com planos para desenvolver cerca de dez conceitos promissores. Apesar das preocupa\u00e7\u00f5es operacionais, o \u00edmpeto continua alto para identificar e implementar aplicativos valiosos de IA, com o objetivo de apresentar mais projetos no pr\u00f3ximo ano.<\/p>\n<\/div><\/div><\/div><\/div><\/article><\/p>","protected":false},"excerpt":{"rendered":"<p>Principais li\u00e7\u00f5es extra\u00eddas da discuss\u00e3o entre Pierre Van Ingelandt, Diretor Digital \u2013 Chefe de Inova\u00e7\u00e3o da TotalEnergies Trading, e Lorenzo Croati, s\u00f3cio da Artefact, sobre LLM para o setor de trading.<\/p>","protected":false},"featured_media":130295,"parent":0,"template":"","meta":{"_acf_changed":false,"ep_exclude_from_search":false},"blog-category":[21930],"blog-language":[2991],"class_list":["post-130294","blog","type-blog","status-publish","has-post-thumbnail","hentry","blog-category-finance","blog-language-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog\/130294","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\/130295"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/media?parent=130294"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog-category?post=130294"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog-language?post=130294"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}