Author

Seema Rathor
RSS
Global Banking Industry Product Marketing Manager

Seema Rathor is a Global Banking Industry Product Marketing Manager at SAS specializing, in the financial services industry. Prior to joining SAS, she spent more than 15 years translating business objectives into marketing strategy in roles of increasing complexity at FIS, HSBC Bank, Navy Federal Credit Union, Experian and American Express.

Artificial Intelligence | Innovation
Seema Rathor 0
Could synthetic data be the catalyst for the future of credit scoring?

Financial institutions operate in a highly regulated, data-sensitive environment. At the same time, these institutions are under pressure to modernize credit scoring models that balance fairness, accuracy and compliance. The challenge? Most financial institutions lack access to the volume and diversity of high-quality, privacy-safe data needed to fuel these models.

Read More
English
Banking
Artificial Intelligence | Fraud & Security Intelligence | Innovation
Seema Rathor 0
Synthetic data for next-generation fraud detection in banking

Financial fraud is a high-stakes issue in banking, where schemes are becoming increasingly sophisticated and costly. As a result, detecting anomalies quickly and accurately is a top priority. But traditional data-driven fraud detection models face challenges such as data scarcity, privacy constraints, and model bias. This is where synthetic data

Read More
English
Banking
Fraud & Security Intelligence | Innovation
Seema Rathor 0
From data to decisions: What sets the intelligent bank apart

Banks face increasing vulnerabilities, including fraud, cyberattacks, regulatory pressures and rapidly evolving customer behaviors. To remain secure and resilient, financial institutions must do more than simply adopt new technologies – they must build intelligent, adaptive systems. This is where a data and AI platform becomes a critical engine – not

Read More
English
Banking
Artificial Intelligence | Fraud & Security Intelligence
Seema Rathor 0
From algorithms to action: Financial institutions must embrace AI to fight financial crime

Integrating AI and machine learning into anti-money laundering (AML) and combating the financing of terrorism (CFT) systems has become imperative for financial institutions (FIs) to safeguard their operations, customers and reputation effectively. Sophisticated financial crimes require advanced solutions to detect and prevent fraud. Money laundering, for example, is a financial

Read More
English
Banking
Analytics | Artificial Intelligence | Predictions
Seema Rathor 0
Customer experience in banking: Change is the name of the game

The rise of digital banking, driven by tech-savvy consumers, has permanently transformed the financial services landscape. Both individuals and businesses now demand seamless, user-friendly experiences, to manage their finances effortlessly across multiple platforms. Generational shifts in expectations Younger generations, including Gen Z and Millennials, have distinct financial expectations compared to

Read More
English
Banking