{"id":34465,"date":"2025-04-15T09:46:05","date_gmt":"2025-04-15T08:46:05","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=100-alumni&#038;p=34465"},"modified":"2025-05-13T01:35:25","modified_gmt":"2025-05-13T00:35:25","slug":"ambica-rajagopal-group-chief-data-and-ai-officer-michelin","status":"publish","type":"100-alumni","link":"https:\/\/www.dataiq.global\/devstage\/dataiq100\/ambica-rajagopal-group-chief-data-and-ai-officer-michelin\/","title":{"rendered":"Ambica Rajagopal, Group Chief Data and AI Officer, Michelin"},"content":{"rendered":"<p><span data-contrast=\"auto\">I believe in the capability of technology to transform lives for the better. The purpose of my work has been to successfully develop companies\u2019 trust in digital technologies, data and AI. I have led AI projects in businesses regarding manufacturing, customer centricity, quality, human resources, and supply chain with a cumulative impact of over $200 million. <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">I have established strong communities around technologies, which enable business and technology teams to understand each other better, deepen their mutual understanding of the technology and ultimately co-lead technology innovation. Under my leadership, machine learning and AI technologies have been widely applied in manufacturing excellence, R&amp;D, and sales and marketing, with several AI systems in production.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Business impact is always my aim and guiding companies through mindset change, probabilistic understanding of risk, trust deficit in new technologies are my passions and skills. I build high performance teams by putting technical depth, trust and customer empathy at the core of the team.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">I am active in global AI networks and industry forums guiding the development of AI as a technology, with a specific focus on manufacturing and industrial use cases.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I believe in the capability of technology to transform lives for the better. The purpose of my work has been to successfully develop companies\u2019 trust in digital technologies, data and AI. I have led AI projects in businesses regarding manufacturing, customer centricity, quality, human resources, and supply chain with a cumulative impact of over $200 [&hellip;]<\/p>\n","protected":false},"author":19,"featured_media":35546,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_searchwp_excluded":"","footnotes":""},"100-designation":[1294],"100-search-term":[1290],"class_list":["post-34465","100-alumni","type-100-alumni","status-publish","format-standard","has-post-thumbnail","hentry","100-designation-100-brands-2025-americas","100-search-term-2025-north-america-brands"],"acf":{"sort":"","rank":"","forename":"Ambica","surname":"Rajagopal","fullname":"Ambica Rajagopal","jobtitle":"Group Chief Data and AI Officer ","organisation":"Michelin ","introduction":"","content_2":"","content_3":"","content_4":"","100_thumbnail_image":35546,"affinoid":""},"publishpress_future_action":{"enabled":false,"date":"2026-05-21 01:47:05","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"100-designation","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/34465","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/100-alumni"}],"author":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=34465"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/34465\/revisions"}],"predecessor-version":[{"id":35990,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/34465\/revisions\/35990"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/35546"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=34465"}],"wp:term":[{"taxonomy":"100-designation","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-designation?post=34465"},{"taxonomy":"100-search-term","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-search-term?post=34465"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}