{"product_id":"ai-data-driven-innovation-opportunities-risks-for-business","title":"AI \u0026 Data-Driven Innovation: Opportunities \u0026 Risks for Business","description":"\u003ch2\u003e\u003cspan\u003eCourse Description\u003c\/span\u003e\u003c\/h2\u003e\n\u003csection style=\"margin-bottom: 2rem;\"\u003e\n    \u003cp class=\"desc-text\"\u003eArtificial intelligence is no longer a future technology reserved for digital giants. It is already embedded in recruitment processes, credit scoring tools, fraud detection systems, customer service platforms and supply chains — across organisations of all sizes, in every sector. And yet the majority of AI projects fail. Not for lack of powerful algorithms, but for lack of governance, data culture and a clear understanding of real-world risks.\u003c\/p\u003e\n    \u003cp class=\"desc-text\"\u003eThis course was designed for executives, managers, lawyers, project leads and compliance professionals who need to understand AI and data as they apply concretely to business decisions — without being data scientists. You will learn to distinguish high-potential use cases from high-risk projects, understand the obligations imposed by the EU AI Act and GDPR, and build responsible AI governance aligned with your organisation's strategy.\u003c\/p\u003e\n    \u003cp class=\"desc-text\"\u003eAcross 6 progressive modules, you will move from AI fundamentals to strategic execution, from data governance to algorithmic risk management, from regulatory compliance to organisational leadership. By the end of this course, you will be able to drive AI projects with discernment, challenge your technical teams and make informed decisions in a rapidly evolving environment.\u003c\/p\u003e\n\u003c\/section\u003e\n\n\u003ch2\u003e\u003cspan\u003eWhy Compliance Training Matters\u003c\/span\u003e\u003c\/h2\u003e\n\u003cdiv style=\"background: #FCEBEB; border-left: 3px solid #E24B4A; border-radius: 0 8px 8px 0; padding: 1rem 1.25rem; margin-bottom: 1rem;\"\u003e\n    \u003cp style=\"font-size: 14px; font-weight: 500; color: #791f1f; margin-bottom: 4px;\"\u003e85% of AI projects never reach production — and regulation is raising the stakes further.\u003c\/p\u003e\n    \u003cp style=\"font-size: 13px; color: #a32d2d; line-height: 1.6;\"\u003eThe EU AI Act entered into force in 2024. It imposes compliance, transparency and oversight obligations on any organisation that deploys or uses high-risk AI systems. Sanctions can reach €30 million or 6% of global turnover. Organisations that fail to train their leadership teams face immediate strategic, legal and reputational risks.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(3,1fr); gap: 12px;\"\u003e\n    \u003cdiv style=\"background: #F1EFE8; border-radius: 8px; padding: 12px; text-align: center;\"\u003e\n        \u003cdiv style=\"font-size: 22px; font-weight: 500; color: #2c2c2a;\"\u003e\u003cspan\u003e€30M\u003c\/span\u003e\u003c\/div\u003e\n        \u003cdiv style=\"font-size: 12px; color: #5f5e5a; margin-top: 2px; line-height: 1.4;\"\u003e\n            \u003cdiv class=\"stat-box\"\u003e\n                \u003cdiv class=\"stat-lbl\"\u003emaximum fine under the EU AI Act\u003c\/div\u003e\n            \u003c\/div\u003e\n        \u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cdiv style=\"background: #F1EFE8; border-radius: 8px; padding: 12px; text-align: center;\"\u003e\n        \u003cdiv style=\"font-size: 22px; font-weight: 500; color: #2c2c2a;\"\u003e\n            \u003cdiv class=\"stat-num\"\u003e85%\u003c\/div\u003e\n        \u003c\/div\u003e\n        \u003cdiv style=\"font-size: 12px; color: #5f5e5a; margin-top: 2px; line-height: 1.4;\"\u003e\n            \u003cdiv class=\"stat-box\"\u003e\n                \u003cdiv class=\"stat-lbl\"\u003eof AI projects never reach production\u003c\/div\u003e\n            \u003c\/div\u003e\n        \u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cdiv style=\"background: #F1EFE8; border-radius: 8px; padding: 12px; text-align: center;\"\u003e\n        \u003cdiv style=\"font-size: 22px; font-weight: 500; color: #2c2c2a;\"\u003e\n            \u003cdiv class=\"stat-num\"\u003e6%\u003c\/div\u003e\n        \u003c\/div\u003e\n        \u003cdiv style=\"font-size: 12px; color: #5f5e5a; margin-top: 2px; line-height: 1.4;\"\u003e\n            \u003cdiv class=\"sec\"\u003e\n                \u003cdiv class=\"stats-row\"\u003e\n                    \u003cdiv class=\"stat-box\"\u003e\n                        \u003cdiv class=\"stat-lbl\"\u003eof global turnover — maximum sanction for prohibited AI\u003c\/div\u003e\n                    \u003c\/div\u003e\n                \u003c\/div\u003e\n            \u003c\/div\u003e\n        \u003c\/div\u003e\n    \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch2\u003eWhere This Course Takes You\u003c\/h2\u003e\n\u003csection style=\"margin-bottom: 2rem;\"\u003e\n    \u003cdiv style=\"display: flex; flex-direction: column;\"\u003e\n        \u003cdiv style=\"display: flex; gap: 14px; align-items: flex-start; padding-bottom: 1.25rem; position: relative;\"\u003e\n            \u003cdiv style=\"position: absolute; left: 15px; top: 32px; bottom: 0; width: 1px; background: #D3D1C7;\"\u003e\u003c\/div\u003e\n            \u003cdiv style=\"width: 32px; height: 32px; min-width: 32px; border-radius: 50%; background: #E6F1FB; color: #0c447c; font-size: 13px; font-weight: 500; display: flex; align-items: center; justify-content: center; z-index: 1;\"\u003e1\u003c\/div\u003e\n            \u003cdiv\u003e\n                \u003cp style=\"font-size: 14px; font-weight: 500; color: #2c2c2a; margin-bottom: 3px;\"\u003eUnderstand AI without being an engineer\u003c\/p\u003e\n                \u003cp style=\"font-size: 13px; color: #5f5e5a; line-height: 1.55;\"\u003eYou will be able to distinguish predictive from generative AI, explain how machine learning models work, and identify relevant use cases for your sector — without needing to write a single line of code.\u003c\/p\u003e\n            \u003c\/div\u003e\n        \u003c\/div\u003e\n        \u003cdiv style=\"display: flex; gap: 14px; align-items: flex-start; padding-bottom: 1.25rem; position: relative;\"\u003e\n            \u003cdiv style=\"position: absolute; left: 15px; top: 32px; bottom: 0; width: 1px; background: #D3D1C7;\"\u003e\u003c\/div\u003e\n            \u003cdiv style=\"width: 32px; height: 32px; min-width: 32px; border-radius: 50%; background: #E6F1FB; color: #0c447c; font-size: 13px; font-weight: 500; display: flex; align-items: center; justify-content: center; z-index: 1;\"\u003e2\u003c\/div\u003e\n            \u003cdiv\u003e\n                \u003cp style=\"font-size: 14px; font-weight: 500; color: #2c2c2a; margin-bottom: 3px;\"\u003eDrive AI projects with method\u003c\/p\u003e\n                \u003cp\u003eYou will understand why AI projects fail, how to qualify a use case, structure the move from pilot to production, and build the organisational conditions for success.\u003c\/p\u003e\n            \u003c\/div\u003e\n        \u003c\/div\u003e\n        \u003cdiv style=\"display: flex; gap: 14px; align-items: flex-start; padding-bottom: 1.25rem; position: relative;\"\u003e\n            \u003cdiv style=\"position: absolute; left: 15px; top: 32px; bottom: 0; width: 1px; background: #D3D1C7;\"\u003e\u003c\/div\u003e\n            \u003cdiv style=\"width: 32px; height: 32px; min-width: 32px; border-radius: 50%; background: #E6F1FB; color: #0c447c; font-size: 13px; font-weight: 500; display: flex; align-items: center; justify-content: center; z-index: 1;\"\u003e3\u003c\/div\u003e\n            \u003cdiv\u003e\n                \u003cp style=\"font-size: 14px; font-weight: 500; color: #2c2c2a; margin-bottom: 3px;\"\u003eNavigate the AI regulatory framework in France\u003c\/p\u003e\n                \u003cp\u003eAI Act, GDPR, CNIL — you will understand what each regulation concretely requires of French organisations and how to build compliance into your AI projects from the start.\u003c\/p\u003e\n            \u003c\/div\u003e\n        \u003c\/div\u003e\n        \u003cdiv style=\"display: flex; gap: 14px; align-items: flex-start;\"\u003e\n            \u003cdiv style=\"width: 32px; height: 32px; min-width: 32px; border-radius: 50%; background: #E6F1FB; color: #0c447c; font-size: 13px; font-weight: 500; display: flex; align-items: center; justify-content: center;\"\u003e4\u003c\/div\u003e\n            \u003cdiv\u003e\n                \u003cp style=\"font-size: 14px; font-weight: 500; color: #2c2c2a; margin-bottom: 3px;\"\u003eBecome a credible AI transformation leader\u003c\/p\u003e\n                \u003cp style=\"font-size: 13px; color: #5f5e5a; line-height: 1.55;\"\u003eYou will be able to design an AI operating model, structure governance roles, align AI objectives with business strategy and lead the cultural change that AI transformation requires.\u003c\/p\u003e\n            \u003c\/div\u003e\n        \u003c\/div\u003e\n    \u003c\/div\u003e\n\u003c\/section\u003e","brand":"French Compliance Institute","offers":[{"title":"Default Title","offer_id":56866032779641,"sku":null,"price":59.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0930\/2917\/1577\/files\/CourseImage_AIandDatadriven.webp?v=1780373633","url":"https:\/\/frenchcomplianceinstitute.com\/products\/ai-data-driven-innovation-opportunities-risks-for-business","provider":"French Compliance Institute","version":"1.0","type":"link"}