TechWorld 2025: Big Data, Computer Science and Information Technologies

Sukanya Konatam Profile

Sukanya Konatam

Sukanya Konatam

Biography

Sukanya Konatam is a senior leader in enterprise data governance and AI strategy at Vialto Partners, with over two decades of experience in AI, data science, and governance frameworks. She has led transformative initiatives across the public and private sectors, including critical criminal justice systems, global financial data products, and responsible AI governance. Sukanya holds multiple patents in AI-enhanced data management and is a Bronze Globee Award winner in IT Professional Excellence. In 2025, she was recognized as one of the Dallas Innovates AI75 honorees, celebrating the top visionaries shaping the future of AI in North Texas. She is also a finalist for the North America Responsible AI Leader of the Year, honored for her work in building ethical and transparent AI systems. As a keynote speaker, podcast host (Decoding Data and AI Governance), and global mentor, she is widely recognized for shaping ethical and transparent AI ecosystems. She is also a Fellow applicant at IETE, a senior IEEE member, and serves as a judge at international AI competitions.

Research Interest

AI Governance for Autonomous and Scalable Data Systems: Building Trust, Integrity, and Compliance in Enterprise Architecture

Abstract

In the age of rapidly expanding data and automation, governance is no longer optional—especially when AI systems power critical decision-making. This session focuses on the intersection of AI governance, enterprise scalability, and data product architecture.

Drawing from real-world leadership in designing enterprise-grade AI systems at Vialto Partners and developing frameworks for government-led criminal justice platforms, I explore:

The design and operationalization of AI governance frameworks across highly regulated industries

Techniques for ensuring data integrity, lineage, and trust in AI-powered platforms

Integrating compliance and auditability into modern data product life cycles

The impact of responsible AI practices on societal outcomes and risk mitigation

Attendees will leave with actionable insights on building scalable AI solutions that are not just performant—but governed, ethical, and accountable.