Join the Community

24,044
Expert opinions
40,636
Total members
314
New members (last 30 days)
200
New opinions (last 30 days)
29,282
Total comments

Latest expert opinions

clear
clear

5 Results from 2020

Tejasvi Addagada

Tejasvi Addagada Enterprise Data Head at Fortune 500 financial service provider

Artificial Intelligence in Data Privacy and Protection can increase customer trust

The development of Artificial Intelligence and Data Protection domains are largely dependent on the economic and societal needs. While Artificial Intelligence develops better customer services by wrangling trillions of BigData and learning from it, data protection is poised to build trust in people to share data with Organizations. A recent surve...

/regulation /retail Artificial Intelligence and Financial Services

Tejasvi Addagada

Tejasvi Addagada Enterprise Data Head at Fortune 500 financial service provider

In Financial Services, can we measure Accuracy of Customer Data with Artificial Intelligence?

Accuracy measures the degree to which data represents the real-world entity in this case a person, organization, or Source from where we know it has originated. Measuring data quality is possible if the characteristics of its physical and contextual existence are well understood. These characteristics of data can be translated into data quality rul...

/regulation /identity Analytics in Banking

Tejasvi Addagada

Tejasvi Addagada Enterprise Data Head at Fortune 500 financial service provider

BigData Lake for Financial Services - Need to stress on Platform Governance

As Banks and Insurance firms have already embraced Data Lakes for their Artificial Intelligence and Machine learning capabilities, it is important to look for continuous Return on Investment on the platform. If a Data Lake is not well maintained, it can turn into a swamp while finding usable data can confuse the data consumers. Most challenges can ...

/sustainable /devops Analytics in Banking

Tejasvi Addagada

Tejasvi Addagada Enterprise Data Head at Fortune 500 financial service provider

Ten steps to a maturity assessment driven Data Strategy, for your Bank

Here are ten steps to defining a data strategy based on a data capability maturity assessment, for a Financial Institution Identify and Simplify Maturity models, and customize the yardstick as well as benchmarks based on local study and future organization strategy Conduct workshop with leaders and grassroots to sensitize the assessment and questi...

/regulation /retail Data Management 101

Tejasvi Addagada

Tejasvi Addagada Enterprise Data Head at Fortune 500 financial service provider

Data Offices assist in Kick-starting rapid shifts in Digital Banking

Slowly yet steadily, Banks are seeing customers (including ourselves) picking up services that have distinct digital capabilities. The mechanics of customer interaction has rapidly shifted from physical handshakes to virtual yet warm communication over personal & extended channels. However, managing Data Quality of customer data along with Z...

/sustainable /covid-19 Data Management and Governance

Now Hiring