Prajit Datta architects the transition from AI experimentation to production-scale impact. Working at the intersection of technical possibility and business value, he helps organizations navigate the shift from AI-assisted to AI-native operations through intelligent systems architecture, strategic AI product development, and comprehensive governance frameworks.

Based in Sweden, he serves as an AI Research Scientist at AFRY, one of Europe's leading engineering and consulting firms, where he leads AI advocacy initiatives and contributes to the Global AI Competence Group (AIGCG). In this role, he drives the development of production-grade AI capabilities, establishes governance frameworks, and supports responsible AI implementation across industrial and enterprise environments.

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Previously, he contributed to large-scale AI infrastructure at Bank of America's Chief Data Scientist Organization (GTO), working on distributed machine learning platforms, enterprise risk modeling systems, and adaptive AI architectures. His work includes contributions associated with US Patent 10805353, which describes a hierarchical distributed machine learning framework enabling adaptive, security-focused model updates across enterprise systems.

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Guided by the principle "Karmev Jayate" — the belief that consistent, meaningful work leads to lasting impact — he approaches AI with a focus on long-term value creation, responsible innovation, and real-world outcomes that enhance organizational decision-making capabilities.

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His expertise spans intelligent systems architecture, compound AI systems, multimodal AI architectures, production machine learning, AI governance frameworks, risk assessment methodologies, and strategic AI product development. He has delivered AI solutions across finance, automotive, energy optimization, healthcare, and compliance-driven sectors, consistently bridging advanced AI capabilities with operational deployment and measurable business impact.

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Beyond technical implementation, he contributes to AI ecosystem development through strategic advisory work, helping organizations build AI maturity, establish governance structures, and develop capabilities for responsible AI adoption. He mentors technical teams, business leaders, and cross-functional groups in transitioning from experimentation to production-ready AI systems.

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He regularly speaks at international technology and leadership forums, including TEDx and global CIO/CTO conferences across the Americas, Europe, and Asia, sharing practical insights on AI product strategy, intelligent decision systems, AI governance, production machine learning, and the organizational transformation required for AI-native operations. He contributes to global technology and leadership communities as a member of the Forbes Technology Council and the Global Shapers community (World Economic Forum initiative). He serves on the board of Norden Impact, a Nordic non-profit think tank focused on innovation, sustainability, and societal progress. Additionally, he has led Hyperledger initiatives in Sweden under the Linux Foundation, supporting the advancement of enterprise-grade distributed technologies and ecosystem development.

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His vision is to build scalable, trustworthy AI systems that enhance how organizations make decisions, ensure technology delivers measurable positive impact for society, and establish frameworks that enable safe, responsible AI deployment at scale.