Through my writing, I explore the intersection of AI, data strategy, and enterprise transformation, with a focus on trust, governance, and the impact of these developments. I contribute thought leadership to platforms such as IEEE, Built-In, and the AI Frontier Network, translating complex technical ideas into actionable frameworks for data and business leaders. My work often bridges strategy with implementation, helping organizations navigate the evolving landscape of responsible AI and data-driven decision-making.
As Featured On
Published Material
BuiltIn Chicago
March 23, 2021
Published article on how I solved biggest technical challenge in our journey building data lake infrastructure
IEEE AI Test Conference 2025
July 21 – July 24, 2025
One of the accepted papers where I published work on ‘A Multi-Layer Framework for AI-Driven Quality Control in Large-Scale Data Production’
IEEE CAI 2025
May 5 – May 2025
Published paper ‘Establishing Trust in AI-Driven Data Observability and Quality Control: A Framework for Reliable and Scalable Standards’ in AI Standards vertical
Chicago Booth Magazine
October 24, 2022
Published article on tips and tricks to present effectively
Women In Tech Speaker Interview
March 24, 2025
Speaker interview where I discussed my motivation for thought leadership and my journey in tech.
Anusha Dwivedula 