Technology executive, author, speaker, and advocate for trusted data foundations in enterprise AI.
Kinshuk Dutta, also known as The Data for AI Guy, is an enterprise technology executive, author, speaker, and IEEE Senior Member. His work connects master data management, data governance, and trusted data foundations with practical enterprise AI.
Kinshuk serves as Head of GTM (Go-to-Market), Americas at ON EBX, a Cloud Software Group business unit, where he leads regional commercial strategy across enterprise master data management, data governance, and AI-ready data foundations. His relationship with the EBX platform spans more than a decade—from Principal Solutions Consultant at Orchestra Networks, through Director of Solutions Engineering and worldwide TIBCO technology and presales leadership, to his current ON EBX role. He led worldwide solution-architecture teams, supported customer adoption and retention, shaped product roadmaps, and defined go-to-market strategy for enterprise data products. His experience covers both EBX5 and EBX6.
Kinshuk is co-author of Data for AI, AI Agents at Work, and The Deployed Data Scientist. Across these books and his technical writing, he examines the full enterprise AI journey: building trusted data foundations, designing governed agentic systems, and moving analytics and machine learning into reliable production environments. He is a named inventor on patent-pending AI technologies, including a multi-phase orchestration engine implemented in internal product-management workflows. He speaks on master data management, AI governance, agent orchestration, and production AI.
His research and public projects explore trustworthy agentic systems, dynamic membership architectures, explainable AI, AI safety, and governed enterprise automation. Through Data4AI and Data-Nizant, he publishes practical perspectives on the data, architecture, controls, and operating models required to make AI useful in real organizations. He also hosts ON Data, an ON EBX podcast featuring conversations about trusted data, enterprise AI, and data transformation.
Kinshuk was elevated to IEEE Senior Member in October 2025 and is a Marquis Who's Who in America honoree. He is enrolled in the MIT Professional Education Chief Technology Officer Program, with expected completion in September 2026, and is a Vellore Institute of Technology dual-degree alumnus in Information Technology and Mechanical Engineering, Class of 2006. His professional education includes verified study in machine learning, technology strategy, technology roadmapping, AI product management, and HarvardX Data Science: R Basics.
Professional Credentials
Kinshuk's work spans enterprise product innovation, technical publishing, open-source software, applied research, and public speaking.
Kinshuk is a named inventor on patent-pending enterprise AI technologies, including a multi-phase orchestration engine for structured entity selection and analysis that was implemented in internal product-management workflows. His EBX contributions include co-designing components of the DAQA Data Quality add-on—matching configuration, survivorship rules, and entity-resolution clustering—and originating a fuzzy-token filtering approach that improved matching scalability. He also created EBX data-consolidation reference material, early Docker deployment patterns, a Kafka connector later generalized for reuse, standard operating procedures, and the EBX GenAI Adaptor.
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He is co-author of three enterprise technology books and has published more than 100 technical articles. DATAVERSITY selected AI Agents at Work as its first Book of the Month for 2026. His writing connects data quality, governance, MDM, AI infrastructure, agentic systems, MLOps, and production execution. Data4AI is his publishing platform for trusted-data and enterprise-AI perspectives, while Data-Nizant carries his long-running technical commentary and tutorials.
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The Deployed Data Scientist has been featured in launch-oriented articles covering its approach to operational AI, MLOps, governance, observability, and production readiness. These are promotional book features rather than independent critical reviews.
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Kinshuk builds and publishes working projects that translate research ideas into usable systems. They include PhoenixFlight for governed dynamic agent and workload participation, Agent Orchestration Studio, RAG Orchestration Studio, Patent Navigator, AI Guardian, MANAS, FairQuote, and enterprise data-quality and integration frameworks.
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Kinshuk speaks to technical and executive audiences about trusted data foundations, master data management, enterprise AI, agent orchestration, AI governance, and MLOps. His documented appearances include a guest session for CUNY's graduate DATA 624 course in June 2025 and a session at Data Modeling Zone 2026. He has also participated in DAMA programs, webinars, interviews, and enterprise events. As host of ON Data: An ON EBX Podcast, he brings practitioners and industry leaders into conversations about data and AI transformation.
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His public research covers trustworthy agentic systems, dynamic membership architectures, educational AI, explainable AI, and safety-centered system design. His professional service includes four completed manuscript reviews for IEEE CAI 2026 and service as a mentor and judge for the 2026 NJx Hackathon, which brought together approximately 120 college and high-school participants. He also contributes through research publications, professional communities, mentoring, and open technical resources.
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Kinshuk Dutta, also known as The Data for AI Guy, is an enterprise technology executive, author, speaker, inventor, and IEEE Senior Member. He serves as Head of GTM, Americas at ON EBX, where he works at the intersection of master data management, data governance, trusted data foundations, and enterprise AI.
Kinshuk is known for leadership and technical contributions across enterprise data management and applied AI. His work includes the EBX Data Quality framework, entity resolution, containerized EBX deployment, real-time Kafka integration, the EBX GenAI Adaptor, patent-pending AI technologies, three books, and public research on trustworthy agentic systems.
Kinshuk has co-authored three books published by Technics Publications: Data for AI: Data Infrastructure for Machine Intelligence with Dr. Scott Burk; AI Agents at Work: The Agentic Revolution in Industry with Dr. Burk and Harman Kaur; and The Deployed Data Scientist: MLOps and Analytics in Practice with Ankit Anand and Dr. Burk.
He serves as Head of GTM, Americas at ON EBX, a Cloud Software Group business unit. He leads regional commercial strategy, market development, customer and partner alignment, and solution positioning for the enterprise master data management portfolio across the Americas.
His EBX experience spans EBX5 and EBX6 and more than a decade across Orchestra Networks, TIBCO, Cloud Software Group, and ON EBX. His contributions include DAQA matching configuration, survivorship rules and entity-resolution clustering; a fuzzy-token filtering approach that improved matching scalability; data-consolidation guidance; early Docker deployment patterns; a reusable Kafka integration; standard operating procedures; and the conversational EBX GenAI Adaptor.
Kinshuk is a named inventor on patent-pending enterprise AI technologies. His documented work includes a multi-phase AI orchestration engine for structured entity selection and analysis that was implemented in internal product-management workflows.
Kinshuk's AI work spans product leadership, platform research and development, agentic systems, generative AI, explainable AI, AI safety, and production governance. He previously led AI product management and enablement work at Tanium and now connects governed enterprise data with practical AI adoption through his leadership, research, books, and software projects.
Kinshuk has more than 19 years of enterprise technology experience, including over a decade associated with the EBX platform. His work spans master data management, data quality, metadata, entity resolution, integration, data governance, customer success, solution engineering, and go-to-market leadership.
He publishes books, research, and more than 100 technical articles through platforms including Data4AI and Data-Nizant. His open-source and applied projects include PhoenixFlight, Agent Orchestration Studio, RAG Orchestration Studio, Patent Navigator, AI Guardian, MANAS, FairQuote, and enterprise data-quality and integration frameworks available through his GitHub profile.
Yes. Kinshuk Dutta was elevated to IEEE Senior Member in October 2025, a professional grade that recognizes significant experience and demonstrated professional maturity in IEEE-designated fields.
Kinshuk completed four manuscript reviews for the 2026 IEEE Conference on Artificial Intelligence. He also served as a mentor and judge for the 2026 NJx Hackathon, supporting approximately 120 college and high-school participants as they developed AI-related business and technology projects.
His documented appearances include a guest session for CUNY's graduate DATA 624 course in June 2025 and a presentation at Data Modeling Zone 2026. He has also participated in DAMA programs, enterprise events, webinars, interviews, and the ON Data podcast.
He speaks about master data management, trusted data foundations for AI, data governance, agentic AI, multi-agent orchestration, AI safety, MLOps, and moving AI from experimentation into governed production. He also hosts ON Data: An ON EBX Podcast, featuring conversations with practitioners and industry leaders.
He has worked with organizations across financial services, insurance, healthcare, retail, manufacturing, technology, and IT infrastructure operations, helping teams apply enterprise data management and AI to complex operational and governance challenges.