Chitiz Tayal
Data Products: The Cornerstone of AI-Driven Healthcare Innovation
Abstract:
Artificial Intelligence (AI) is transforming healthcare by enabling predictive analytics, personalized medicine, and operational efficiency. However, the success of AI initiatives hinges on the availability of high-quality, governed, and interoperable data products. This keynote positions data products as essential to the AI journey, serving as the foundation for scalable and trustworthy AI applications in healthcare.
Unlike traditional data pipelines, data products are curated, reusable, and domain-oriented assets designed with product thinking principles. They encapsulate data, metadata, governance, and APIs, making them consumable and measurable in terms of business value. By adopting architectural paradigms such as Data Mesh, API-first strategies, and cloud-native ecosystems, healthcare organizations can overcome data silos and enable decentralized, domain-driven ownership of data.
The keynote will explore real-world healthcare applications where data products have accelerated AI adoption. Examples include patient insights platforms that integrate electronic health records (EHRs) and claims data for predictive care, immunization opportunity identification systems leveraging AI for population health, and data governance frameworks that ensure compliance with HIPAA and GDPR while maintaining data integrity for machine learning models.
Key challenges such as data quality, privacy, interoperability, and regulatory compliance will be addressed, along with best practices for building AI-ready data products. The session concludes by examining emerging trends, including AI-powered data products, Data Products-as-a-Service (DPaaS), and their transformative impact on clinical research, real-world evidence generation, and personalized treatment pathways.
By positioning data products as the backbone of AI-driven healthcare, this keynote provides actionable insights for organizations seeking to unlock the full potential of their data assets and deliver improved patient outcomes through intelligent, scalable solutions.
Keywords: Data Products, AI in Healthcare, Data Mesh, Predictive Analytics, Governance, Scalability
Profile:
Chitiz Tayal is a seasoned technology leader with over 23 years of experience driving digital transformation and enterprise data strategies across life sciences and Pharma retail domains. He specializes in designing and implementing scalable, AI-enabled platforms that empower organizations to achieve data-driven decision-making and operational excellence. His expertise spans advanced analytics, data governance, cloud modernization, and omnichannel engagement.
Chitiz is passionate about integrating Generative AI (GenAI) and Agentic AI into enterprise solutions to deliver predictive insights, conversational intelligence, and autonomous workflows that transform business operations. He has successfully led large-scale programs focused on improving data quality, compliance, and accessibility, enabling organizations to optimize commercial strategies and enhance patient outcomes.
A recognized thought leader, Chitiz has authored multiple research papers on AI, data governance, and predictive analytics, published in IEEE, IJERT, and other international journals. He actively contributes to the academic and professional community as a session chair, keynote speaker, and hackathon judge, and is a member of leading bodies like IEEE, ACM, IAENG, and Raptor.
With a proven track record of delivering transformative solutions for top pharmaceutical and healthcare organizations, Chitiz combines innovation, scalability, and compliance to shape the future of data-driven healthcare and commercial strategies.