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Tejasvi Addagada

Enterprise Data Head

Fortune 500 financial service provider

Member since

02 Sep 2014

Location

Mumbai

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Tejasvi's opinions

From Compliance to Competitive Edge: 2025 Data Governance Trends in Financial Sevices

As we move through 2025, corporate governance in financial services is evolving rapidly, driven by shifts in technology, regulation, and stakeholder expectations. These changes are reshaping how financial institutions approach data governance, a critical enabler of operational resilience, innovation, and trust. Corporate Governance Trends Driving ...

21 January 2025 /regulation /retail Data Management and Governance

Data Governance in the Age of AI: Why It’s the Key to Trust, Ethics, and Success

What is Data Governance and Why It Matters in the Age of AI & LLMs In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live and work. However, with great power comes great responsibility. As organizatio...

13 October 2024 /ai /sustainable

When to use Privacy Enhancing Technologies (PETs) vs. privacy management tools in Banks?

A more common question today is "whether privacy enhancing technologies should be used in conjunction with privacy management tools?". Privacy enhancing technologies are tools that can be used to protect data, such as encryption or masking. Privacy management tools are tools that can be used to manage who has access to data, such as acce...

27 June 2024 /security /people Bigger than Technology

Are you confident in the quality of your data and its impact on your generative AI model insights?

The world of banking and financial services is abuzz with the potential of generative AI. It's a game-changer that can revolutionize customer service, boost revenue, and streamline operations. But with great power comes great responsibility - and a whole lot of regulatory challenges. We need a legal framework that balances market safety, consumer ...

22 February 2024 /retail /predictions Bigger than Technology

Does data risk need to be managed actively through a data risk function?

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. In sectors like Banking, regulations drive enterprises to assess data related risks. Prioritizing and managing data associated with financial or op...

09 December 2022 /regulation Data Management and Governance

Managing Data Quality is important to the success of digital driven Financial services

Data is increasingly valued as an asset for companies, so ensuring that data is of high quality is imperative. Progressively, in the world of IoT, we are seeing machines make decisions. These decisions either provide insights into what's most beneficial for customers or reduce their service-relationship anxiety. In order for machine learning model...

03 April 2022 /retail /sustainable Data Management and Governance

Democratizing data and thus credit to Citizens - Account Aggregator network

Democratizing data for customers through responsible sharing will actually democratize credit for people in the financial ecosystem. As a part of India stack, the Account Aggregator (AA) network is based on a mix of frameworks Open Credit Enablement Network (OCEN) and The Data Empowerment and Protection Architecture (DEPA). Today, in financial in...

04 September 2021 /people /inclusion Banking Strategy, Digital and Transformation

What does it take to Monetize data in your organization for improved benefits?

Most banks are experiencing an upward curve in In-directly monetizating data to increase revenue. This involves analyzing the existing data trove and revealing insights that can improve the organization's business performance. The outcomes can be customer trust, satisfaction, reducing anxiety of customers while the benefit can be increase in reven...

18 July 2021 /people /retail Data Management and Governance

Aspects of data quality, an Artificial Intelligence unit has to focus on for better outcomes

Clean Data is a crucial need to get an outcome from Machine Learning models. Often much time to the tune of 40% is spent on understanding and cleaning data before modeling and providing an outcome. Scale and diversity in data is also another important aspect while planning for a model. How accurate is the data to give a usable outcome – is a major ...

04 July 2021 /sustainable /predictions Data Management and Governance

Scaling up Cloud capabilities, with right protection technology and security capabilities

The pace of digitization has increased the need for embracing the cloud for nimble management of scalable operations. 68% of IT practitioners say they are using the cloud to store most of their data. A financial service provider has to choose the right data protection technology to un-lock the perceived data-capital for business growth and operatio...

17 May 2021 /regulation /cloud Cloud Banking out of the Box

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