{"id":4867,"date":"2026-03-06T09:14:46","date_gmt":"2026-03-06T08:14:46","guid":{"rendered":"https:\/\/www.meltone.com\/ai-and-data-ai-is-transforming-roles-but-above-all-it-is-strengthening-accountability\/"},"modified":"2026-07-22T12:41:01","modified_gmt":"2026-07-22T10:41:01","slug":"ai-and-data-ai-is-transforming-roles-but-above-all-it-is-strengthening-accountability","status":"publish","type":"post","link":"https:\/\/www.meltone.com\/en\/ai-and-data-ai-is-transforming-roles-but-above-all-it-is-strengthening-accountability\/","title":{"rendered":"AI and data: AI is transforming roles, but above all it is strengthening accountability"},"content":{"rendered":"\n\n\n<section    \n        class=\"block-hero block-hero-article theme-dark deco-article align-left\"\n        data-halo\n        data-bg-dark=\"true\"\n        >\n                <div class=\"hero-deco\" aria-hidden=\"true\">\n                                            <svg viewBox=\"0 0 1440 738\" preserveAspectRatio=\"xMidYMid slice\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n  <defs>\n    <radialGradient id=\"articleGlow\" cx=\"0.5\" cy=\"0.5\" r=\"0.5\">\n      <stop stop-color=\"#11163A\"\/>\n      <stop offset=\"1\" stop-color=\"#404672\" stop-opacity=\"0\"\/>\n    <\/radialGradient>\n  <\/defs>\n  <!-- Glow navy centre-droite (Ellipse 57) -->\n  <circle cx=\"1233\" cy=\"615\" r=\"485\" fill=\"url(#articleGlow)\"\/>\n  <!-- Cercle jaune coin bas-droite (Ellipse 101) -->\n  <circle cx=\"1445.5\" cy=\"766.5\" r=\"250.5\" fill=\"#FCFDD5\"\/>\n  <!-- Ruban pastel (Vector 34, pivot\u00e9) -->\n  <g transform=\"translate(1394.08 447.89) rotate(-47.93) translate(-1109.87 -445.02)\">\n    <path d=\"M61.82 28.5275C194.533 316.12 578.292 46.9245 653.141 382.104C654.417 535.861 589.028 689.62 708.744 764.513C856.261 845.08 975.976 736.712 1020.8 616.429C1065.62 496.146 1153.49 283.658 1327.58 313.766C1503.1 344.122 1514.25 624.794 1765.03 775.716C1879.9 844.848 2032.71 839.997 2180.79 736.735\" stroke=\"#CED9FA\" stroke-width=\"136.17\"\/>\n  <\/g>\n<\/svg>\n\n                    <\/div>\n    \n    <span class=\"halo\"><\/span>\n    <div class=\"container\">\n                                <div class=\"breadcrumb\">\n            <ul class=\"breadcrumb-list\">\n                <li class=\"breadcrumb-list_item\">\n                    <a href=\"https:\/\/www.meltone.com\/en\/\">Accueil<\/a>\n                <\/li>\n\n                                                        \n                                                                                                                                                                                                                                                                                                \n                                                                                                    \n                                        <li class=\"breadcrumb-list_item\"><\/li>\n                            <\/ul>\n        <\/div>\n    \n                <div class=\"grid\">\n            <div class=\"grid_content\">\n                                \n                                \n                                        \n                        \n                    \n            <h1\n        class=\"title title-hero\"\n                        >AI and data: AI is transforming roles, but above all it is strengthening accountability<\/h1>\n    \n                                                                \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p>In many companies, artificial intelligence is now being integrated into reporting, financial analysis, and operational management tools. Conversational agents, natural-language queries, automatic generation of KPIs: AI is speeding up access to information and simplifying tasks that have historically been technical in the data space. <\/p>\n<p>But behind this promise of analytical autonomy, one reality stands out: <strong>AI does not replace data expertise; it redefines its scope and accountability.<\/strong><\/p>\n<p>So the question is not only technological. It is above all organisational. <\/p>\n\n        <\/div>\n    \n                                                    <span class=\"block-hero-article_tag\">Opinion<\/span>\n                                                    <div class=\"block-hero-article_meta\">\n                                                    <span class=\"author-by\">\n                                R\u00e9dig\u00e9 par\n                                                                    <a class=\"author\" href=\"https:\/\/www.meltone.com\/en\/author\/agence2web\/\">agence2web<\/a>\n                                                            <\/span>\n                                                <span class=\"date\">6 March 2026<\/span>                    <\/div>\n                            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n\n\n\n<section    \n        class=\"block-content block-content-list-meltone\"\n        >\n    <div class=\"block-content-list-meltone_glow\" aria-hidden=\"true\">\n        <svg preserveAspectRatio=\"none\" width=\"100%\" height=\"100%\" overflow=\"visible\" viewBox=\"0 0 970 970\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<g id=\"content-list-glow\">\n<circle cx=\"485\" cy=\"485\" r=\"485\" fill=\"url(#contentListGlow)\"\/>\n<circle cx=\"335.5\" cy=\"407.5\" r=\"271.5\" fill=\"#ffffff\"\/>\n<\/g>\n<defs>\n<radialGradient id=\"contentListGlow\" cx=\"0\" cy=\"0\" r=\"1\" gradientUnits=\"userSpaceOnUse\" gradientTransform=\"translate(485 485) rotate(90) scale(485)\">\n<stop stop-color=\"#CED9FA\"\/>\n<stop offset=\"1\" stop-color=\"#CED9FA\" stop-opacity=\"0\"\/>\n<\/radialGradient>\n<\/defs>\n<\/svg>\n\n    <\/div>\n    <div class=\"block-content-list-meltone_content\">\n        <div class=\"container\">\n            <div class=\"grid\">\n                <div class=\"grid_title\">\n                                    \n                                \n                                        \n                        \n                    \n            <h2\n        class=\"title title-section\"\n                        >Can we really trust the results produced by AI?<\/h2>\n    \n                                                                        \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p><em><br \/>\nTrust in AI does not rest on its infallibility, but on rigorous oversight: audits, testing and governance to uncover and control its weaknesses\u2014where human error, more visible, remains easier to attribute.<\/em><\/p>\n<p>&nbsp;<\/p>\n\n        <\/div>\n    \n                                    <\/div>\n                                    <div class=\"grid_content\">\n                                                    <ul class=\"list\">\n                                                                    <li class=\"list-item\">\n                                                                                    <h3 class=\"list-item_title\">Scepticism towards AI often concerns its reliability.<\/h3>\n                                                                                                                            <div class=\"list-item_text\">An error generated by an automated system seems more serious than a human error: faster, potentially affecting considerable volumes, it appears systemic and difficult to attribute.<br \/>\r\n<br \/>\r\nYet in practice, the impact and the means of preventing errors are not so different from human action.<br \/>\r\n<br \/>\r\nThe difference lies elsewhere: an employee can be identified, challenged and held accountable. An AI, on the other hand, does not legally bear fault. <br \/>\r\n<br \/>\r\nThis implies a shift in posture. The tool must be supervised, audited, tested\u2014not because it is intrinsically less reliable, but because its ability to produce convincing results can mask underlying weaknesses.  <br \/>\r\n<\/div>\n                                                                            <\/li>\n                                                            <\/ul>\n                                                                            <div class=\"list-outro\">\n                                                            \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p><strong>Trust does not disappear with AI.<br \/>\nIt must be structured.<\/strong><\/p>\n\n        <\/div>\n    \n                            <\/div>\n                                            <\/div>\n                            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n\n\n\n<section    \n        class=\"block-content block-steps-meltone\"\n        >\n    <div class=\"container\">\n        <div class=\"grid\">\n            <div class=\"grid_title\">\n                                \n                                \n                                        \n                        \n                    \n            <h2\n        class=\"title title-section\"\n                        >A transformation of roles rather than a disappearance<\/h2>\n    \n            <\/div>\n                            <div class=\"grid_intro\">\n                                                \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p style=\"text-align: left;\"><em>AI automates part of the technical tasks, refocusing data experts on their core work: defining KPIs, documentation, validating results, and accountability for the generated outputs<\/em>.<\/p>\n<p style=\"text-align: left;\">Contrary to some common misconceptions,<strong> artificial intelligence does not signal the end of data roles.<\/strong><br \/>\nHistorically, data projects relied heavily on strong individual technical skills:<\/p>\n<p>&nbsp;<\/p>\n\n        <\/div>\n    \n                <\/div>\n                                        <div class=\"grid_content\">\n                    <ul class=\"steps-track\">\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Development<\/h3>\n                                                                                            <\/li>\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Modelling<\/h3>\n                                                                                            <\/li>\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Building complex queries<\/h3>\n                                                                                            <\/li>\n                                            <\/ul>\n                <\/div>\n                                <\/div>\n    <\/div>\n<\/section>\n\n\n\n<section    \n        class=\"block-content block-steps-meltone\"\n        >\n    <div class=\"container\">\n        <div class=\"grid\">\n            <div class=\"grid_title\">\n                                \n                                \n                                        \n                        \n                    \n    \n            <\/div>\n                            <div class=\"grid_intro\">\n                                                \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p style=\"text-align: left;\">AI agents now handle part of this technical exploration. But that does not reduce the value of experts\u2014quite the opposite.<br \/>\nTheir role is evolving towards: <\/p>\n<div class=\"is-layout-flex wp-container-2 wp-block-columns\">\n<div class=\"is-layout-flow wp-block-column\">\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n\n        <\/div>\n    \n                <\/div>\n                                        <div class=\"grid_content\">\n                    <ul class=\"steps-track\">\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Proper definition of KPIs<\/h3>\n                                                                                            <\/li>\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Understanding and formalising business rules<\/h3>\n                                                                                            <\/li>\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Validating calculations and generated results<\/h3>\n                                                                                            <\/li>\n                                            <\/ul>\n                <\/div>\n                                        <div class=\"grid_outro\">\n                                                \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p style=\"text-align: left;\">Value is shifting from technical production to the <strong>guarantee of consistency.<\/strong><br \/>\nThis evolution directly affects finance, management control, marketing, and supply chain functions: all roles built on analysis and operational steering are impacted.<strong> AI speeds up processing, but paradoxically strengthens the need for human expertise.<\/strong><\/p>\n\n        <\/div>\n    \n                <\/div>\n                    <\/div>\n    <\/div>\n<\/section>\n\n\n\n<section    \n        class=\"block-content block-content-list-meltone\"\n        >\n    <div class=\"block-content-list-meltone_glow\" aria-hidden=\"true\">\n        <svg preserveAspectRatio=\"none\" width=\"100%\" height=\"100%\" overflow=\"visible\" viewBox=\"0 0 970 970\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<g id=\"content-list-glow\">\n<circle cx=\"485\" cy=\"485\" r=\"485\" fill=\"url(#contentListGlow)\"\/>\n<circle cx=\"335.5\" cy=\"407.5\" r=\"271.5\" fill=\"#ffffff\"\/>\n<\/g>\n<defs>\n<radialGradient id=\"contentListGlow\" cx=\"0\" cy=\"0\" r=\"1\" gradientUnits=\"userSpaceOnUse\" gradientTransform=\"translate(485 485) rotate(90) scale(485)\">\n<stop stop-color=\"#CED9FA\"\/>\n<stop offset=\"1\" stop-color=\"#CED9FA\" stop-opacity=\"0\"\/>\n<\/radialGradient>\n<\/defs>\n<\/svg>\n\n    <\/div>\n    <div class=\"block-content-list-meltone_content\">\n        <div class=\"container\">\n            <div class=\"grid\">\n                <div class=\"grid_title\">\n                                    \n                                \n                                        \n                        \n                    \n            <h2\n        class=\"title title-section\"\n                        >A sense of d\u00e9j\u00e0 vu: from the Big Data wave to the AI era<\/h2>\n    \n                                                                        \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p><em><br \/>\nThe arrival of AI in data raises challenges similar to those of Big Data: data quality, formalising rules and governance\u2014now with greater urgency to resolve them in order to fully harness its potential.<\/em><\/p>\n<p>&nbsp;<\/p>\n\n        <\/div>\n    \n                                    <\/div>\n                                    <div class=\"grid_content\">\n                                                    <ul class=\"list\">\n                                                                    <li class=\"list-item\">\n                                                                                                                            <div class=\"list-item_text\">This upheaval echoes that of Big Data in the 2010s. Even then, companies were asking: <br \/>\r\n<br \/>\r\nWhere can we find the relevant data?<br \/>\r\nHow can we use it effectively?<br \/>\r\nFor which concrete use cases?<br \/>\r\n<br \/>\r\nIssues around data quality, poorly defined business rules, or insufficient documentation have never completely disappeared.<br \/>\r\n<br \/>\r\nThe difference today lies in the level of exposure. By opening up new use cases, AI makes these weaknesses immediately visible to everyone. <br \/>\r\n<br \/>\r\nAn approximate KPI or an implicit rule that went unnoticed in manual processing becomes a source of inconsistency amplified by automation.<\/div>\n                                                                            <\/li>\n                                                            <\/ul>\n                                                                            <div class=\"list-outro\">\n                                                            \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p>AI does not create these problems. It reveals them. <\/p>\n\n        <\/div>\n    \n                            <\/div>\n                                            <\/div>\n                            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n\n\n\n<section    \n        class=\"block-content block-steps-meltone\"\n        >\n    <div class=\"container\">\n        <div class=\"grid\">\n            <div class=\"grid_title\">\n                                \n                                \n                                        \n                        \n                    \n            <h2\n        class=\"title title-section\"\n                        >Concrete use cases\u2026 provided you have solid foundations<\/h2>\n    \n            <\/div>\n                            <div class=\"grid_intro\">\n                                                \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p style=\"text-align: left;\"><em>AI excels at document exploration and report generation, but its effectiveness relies on structured data, clear business rules, and appropriate governance.<\/em><\/p>\n<p style=\"text-align: left;\">In the field, the most effective use cases remain pragmatic:<\/p>\n<p>&nbsp;<\/p>\n\n        <\/div>\n    \n                <\/div>\n                                        <div class=\"grid_content\">\n                    <ul class=\"steps-track\">\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Ad-hoc exploration of existing data<\/h3>\n                                                                                            <\/li>\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Accelerated document search<\/h3>\n                                                                                            <\/li>\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Generating summary analyses or reports without specific development<\/h3>\n                                                                                            <\/li>\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Development and analysis assistance for non-technical profiles<\/h3>\n                                                                                            <\/li>\n                                            <\/ul>\n                <\/div>\n                                <\/div>\n    <\/div>\n<\/section>\n\n\n\n<section    \n        class=\"block-content block-steps-meltone\"\n        >\n    <div class=\"container\">\n        <div class=\"grid\">\n            <div class=\"grid_title\">\n                                \n                                \n                                        \n                        \n                    \n    \n            <\/div>\n                            <div class=\"grid_intro\">\n                                                \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p style=\"text-align: left;\">Some platforms now integrate these capabilities directly at the heart of data environments, making natural-language interaction and the automation of analytical tasks easier.<br \/>\nBut these use cases only create value if the foundations are solid:<\/p>\n\n        <\/div>\n    \n                <\/div>\n                                        <div class=\"grid_content\">\n                    <ul class=\"steps-track\">\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Reliable, structured data<\/h3>\n                                                                                            <\/li>\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Clearly formalised business rules<\/h3>\n                                                                                            <\/li>\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Defined governance<\/h3>\n                                                                                            <\/li>\n                                                    <li class=\"card card-step\">\n                                                                    <h3 class=\"card-step_title\">Established validation processes<\/h3>\n                                                                                            <\/li>\n                                            <\/ul>\n                <\/div>\n                                        <div class=\"grid_outro\">\n                                                \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p style=\"text-align: left;\">Without these elements, AI can produce results that appear consistent\u2026 but are fragile in their interpretation.<\/p>\n\n        <\/div>\n    \n                <\/div>\n                    <\/div>\n    <\/div>\n<\/section>\n\n\n\n<section    \n        class=\"block-content block-content-list-meltone\"\n        >\n    <div class=\"block-content-list-meltone_glow\" aria-hidden=\"true\">\n        <svg preserveAspectRatio=\"none\" width=\"100%\" height=\"100%\" overflow=\"visible\" viewBox=\"0 0 970 970\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<g id=\"content-list-glow\">\n<circle cx=\"485\" cy=\"485\" r=\"485\" fill=\"url(#contentListGlow)\"\/>\n<circle cx=\"335.5\" cy=\"407.5\" r=\"271.5\" fill=\"#ffffff\"\/>\n<\/g>\n<defs>\n<radialGradient id=\"contentListGlow\" cx=\"0\" cy=\"0\" r=\"1\" gradientUnits=\"userSpaceOnUse\" gradientTransform=\"translate(485 485) rotate(90) scale(485)\">\n<stop stop-color=\"#CED9FA\"\/>\n<stop offset=\"1\" stop-color=\"#CED9FA\" stop-opacity=\"0\"\/>\n<\/radialGradient>\n<\/defs>\n<\/svg>\n\n    <\/div>\n    <div class=\"block-content-list-meltone_content\">\n        <div class=\"container\">\n            <div class=\"grid\">\n                <div class=\"grid_title\">\n                                    \n                                \n                                        \n                        \n                    \n            <h2\n        class=\"title title-section\"\n                        >Towards new accountability for data roles<\/h2>\n    \n                                                                        \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p><em><br \/>\nAI\u2019s reliability depends on human control: its ability to convince must not obscure the need for rigorous audits and process traceability to ensure credibility.<\/em><\/p>\n\n        <\/div>\n    \n                                    <\/div>\n                                    <div class=\"grid_content\">\n                                                    <ul class=\"list\">\n                                                                    <li class=\"list-item\">\n                                                                                    <h3 class=\"list-item_title\">Artificial intelligence does not devalue data roles: it repositions them.<\/h3>\n                                                                                                                            <div class=\"list-item_text\">The expert is no longer limited to writing queries or developing models. They become the guarantor of: <br \/>\r\n<br \/>\r\nConsistency of KPIs,<br \/>\r\nTraceability of calculations,<br \/>\r\nThe control framework,<br \/>\r\nAccountability for the results used in decision-making.<\/div>\n                                                                            <\/li>\n                                                            <\/ul>\n                                                                            <div class=\"list-outro\">\n                                                            \n                                    \n                \n        <div class=\"editor\"\n        >\n        <p>As AI spreads across organisations, the central question is no longer only \u201cwhat can it do?\u201d, but <strong>\u201cwho is able to validate it?\u201d.<\/strong><br \/>\nThe companies that will derive the most value from AI will be those that accept the need to strengthen their data fundamentals before automating its use.<\/p>\n\n        <\/div>\n    \n                            <\/div>\n                                            <\/div>\n                            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n\n\n\n<section    \n        class=\"block-content block-cta-banner cta-banner--variation-1\"\n        >\n    <div class=\"block-cta-banner_deco\" aria-hidden=\"true\">\n        <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 1440 150\" preserveAspectRatio=\"xMaxYMid slice\" fill=\"none\">\n  <defs>\n    <radialGradient id=\"ctaBannerV1\" cx=\"0\" cy=\"0\" r=\"1\" gradientUnits=\"userSpaceOnUse\" gradientTransform=\"translate(1224.5 149.44) rotate(90) scale(432.5)\">\n      <stop stop-color=\"#8999CA\"\/>\n      <stop offset=\"1\" stop-color=\"#CED9FA\" stop-opacity=\"0\"\/>\n    <\/radialGradient>\n  <\/defs>\n  <circle cx=\"1224.5\" cy=\"149.44\" r=\"432.5\" fill=\"url(#ctaBannerV1)\"\/>\n  <g transform=\"rotate(175.04 1395.16 414.3)\">\n    <g transform=\"translate(1036.73 -137.77)\">\n      <path d=\"M490.629 52.3639C180.108 186.874 -55.8918 558.409 103.573 660.574C243.033 749.921 491.159 636.844 579.833 551.803C691.514 444.698 654.91 330.416 530.048 359.901C387.578 393.544 248.471 577.054 237.206 839.268C226.498 1088.51 463.222 968.525 637.798 774.562C641.376 770.588 648.324 775.163 645.893 779.926C608.135 853.903 537.488 996.6 530.048 1051.76\" stroke=\"#9DD5D5\" stroke-width=\"104.701\" stroke-linecap=\"round\"\/>\n    <\/g>\n  <\/g>\n<\/svg>\n\n    <\/div>\n    <div class=\"container\">\n        <div class=\"grid\">\n            <div class=\"grid_title\">\n                                \n                                \n                                        \n                        \n                    \n            <h2\n        class=\"title title-section\"\n                        >Key takeaways<\/h2>\n    \n            <\/div>\n                            <div class=\"grid_content\">\n                                                \n                                    \n                \n        <div class=\"editor\"\n        >\n        <div class=\"is-layout-flex wp-container-2 wp-block-columns\">\n<div class=\"is-layout-flow wp-block-column\">\n<p>AI marks a new stage in the history of data projects. Like Big Data yesterday, it opens up a field of possibilities that seems limitless today.<br \/>\nBut it also reminds us of a simple truth: without reliable data, clear rules and structured governance, no technology guarantees decision quality.<br \/>\nArtificial intelligence does not erase data roles. It evolves them towards a more strategic role: guardians of consistency, control and accountability.  <\/p>\n<\/div>\n<\/div>\n\n        <\/div>\n    \n                <\/div>\n                                        <div class=\"grid_action\">\n                                                \n    \n    \n                \n    <a href=\"\/lia-comme-pont-entre-metiers-et-it\/\"\n       class=\"btn btn-primary has-icon has-icon--right\"\n                               aria-label=\"Find another article by Camille Maurice here\"                            >\n        <span class=\"btn_title\">Find another article by Camille Maurice here<\/span>\n                    <span class=\"btn_icon\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 12 8\" fill=\"none\"><path d=\"M11.3549 4.02215C11.5494 3.82617 11.5482 3.50959 11.3522 3.31505L8.15841 0.144959C7.96242 -0.0495739 7.64584 -0.0483934 7.45131 0.147595C7.25677 0.343584 7.25795 0.660165 7.45394 0.854697L10.2929 3.67256L7.47504 6.51151C7.2805 6.7075 7.28168 7.02408 7.47767 7.21861C7.67366 7.41315 7.99024 7.41197 8.18477 7.21598L11.3549 4.02215ZM0 3.71094L0.00186433 4.21093L11.0019 4.16992L11 3.66992L10.9981 3.16993L-0.00186433 3.21094L0 3.71094Z\" fill=\"currentColor\"\/><\/svg><\/span>\n            <\/a>\n\n                                    <\/div>\n                    <\/div>\n    <\/div>\n<\/section>\n\n\n<section     class=\"block-editor\"\n        >\n    <div class=\"container\">\n        <div class=\"grid\">\n            <div class=\"grid_content\">\n                <div class=\"editor\"><p><em>This article is inspired by an op-ed published by <a href=\"https:\/\/www.linkedin.com\/in\/camillemaurice\/\" target=\"_blank\" rel=\"noreferrer noopener\">Camille Maurice<\/a>, Data &#038; Analytics Director at MeltOne, in the newspaper Informatiques News in 202<\/em>6<\/p>\n<\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n\n\n<section    \n        class=\"block-content 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2x\"                         alt=\"Img Meltone 9\"\n                          width=\"2400\"                           height=\"1599\"                                                                                loading=\"lazy\" decoding=\"async\"\n                                             >\n                <\/picture>\n                        \n                        <\/div>\n                                    <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>In many companies, artificial intelligence is now being integrated into reporting, financial analysis, and operational management tools. Conversational agents, natural-language queries, automatic generation of KPIs: AI is speeding up access to information and simplifying tasks that have historically been technical in the data space. But behind this promise of analytical autonomy, one reality stands out: [\u2026]  <\/p>\n","protected":false},"author":1,"featured_media":4868,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[154],"tags":[155],"cas-client-offre":[],"class_list":["post-4867","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-opinion","tag-data-analytics"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI and data: AI is transforming roles, but above all it is strengthening accountability | Opinion - MeltOne<\/title>\n<meta name=\"description\" content=\"AI is profoundly transforming data roles, accelerating innovation and operational performance. 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