Dr. Tejasvi Addagada

Tejasvi is one of the world's leading practitioner-voices in Data, AI and Quantum Governance. He is a Head of AI & GenAI Governance and held position of Chief data officer, Data Protection Officer at Fortune 500 institutions.

He leads enterprise AI governance architecture, GenAI guardrail implementation, data engineering, data quality, and regulatory compliance across the bank's full data estate.

With seventeen years of experience advising over fifteen Fortune 500 organisations across banking, capital markets, and financial services, Tejasvi is the bestselling author of two books. He is the inventor of the Contingency and Evolutionary Models for Data and AI Governance and Semalith, a semantic classifier guardrail. A global keynote speaker across India and internationally, Tejasvi is a recipient of the Elets BFSI 100 Gamechanger Award and also contributes to Harvard Business Review, CIO.com, The Quint, Dataversity, CDO Magazine, and Towards Data Science.

Tejasvi Chandrarkar-Founder of Tejasvi Addagada, heads the data management

Books & Publications

Data Risk Management

You must hear this often if you manage any kind of risk - risk, and value, go together. And that's true, of course, for data! Both data and its infrastructure must be managed for their benefits and risks. The purpose of the book is to elaborate on this need to formalize data risk management.

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Data Management and Governance Services

The book provides frameworks for business, operational, and technology leaders that are simple and effective in managing data. Many data offices have challenges in actively managing data and deriving consistent value from data science, Bigdata, and reporting programs.

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Interviews & Fireside Chat

Learn More About Me

Tejasvi Addagada is an author, data practitioner and consultant assisting fortune 500 firms. He helps to build and optimize data management and governance solutions. Tej provides a wide range of services including data strategy, risk management, app service rationalization, digital transformation, and process excellence.

tejasvi@tejasviaddagada.com

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Tejasvi Chandrarkar- Data risk management Service- Tejasvi Addagada

Latest Articles

I write articles while I also speak about the aspects that intrigue me and that make organizations better at managing data and privacy.

More collections of articles is available in the BLOG section.

The Case for a Financial Services Benchmark Dataset: Building Confidence in GenAI Guardrails

When a bank deploys a GenAI system in production — whether for credit advisory, document summarisation, customer service, or regulatory reporting — it is making an implicit promise. The promise is not just that the system will produce useful outputs. It is that the system will not produce harmful ones. That implicit promise, in a regulated financial institution, is in fact an explicit obligation. You might ask: how does a bank know today whether its guardrails are actually wo

Product Data Management: Key Strategies, Importance, Tools, and Benefits

Boost efficiency with Product Data Management solutions. Centralize, manage & optimize product data for accuracy, consistency, and better decisions.

The S-DRP Framework: Practical Data-Risk Propagation in AI Systems

Dr. Tejasvi Addagada | AI Governance · Data Risk · The Methodology Underneath Provable Governance Risk in AI systems does not stay where you put it. A privacy issue in a training dataset surfaces three months later as a legal exposure in a customer support transcript. A bias introduced at the feature engineering layer becomes a regulatory finding at the credit decision boundary. A drift in foundation model behaviour in March produces an unreviewed agentic action in July that