Solely relying on traditional credit history could prevent lenders from obtaining a holistic picture of an applicant and ...

Generally, the birth of football’s data revolution is dated back to the mid-2000s, although companies such as Opta and ...

Fundamental analysis involves gathering and understanding a wide variety of information, like financial numbers, company earnings, industry trends, government filings, global events, and public ...

AI is no longer a novelty within financial services. Those early, heady days are over, almost as quickly as they began.

These AI tools simplify spreadsheet tasks — from formula building to marketing data analysis — and you don’t need a techl ...

Dr. Saurabh Garg reiterated that the selected problem statements align with MoSPI’s vision for future-ready statistical ...

Key Takeaways Data science roles in Canada offer salaries between CAD 90 - 135K yearly.Major hubs include Toronto, Vancouver, ...

Finance Analyst and Chartered Accountant are popular career choices for students interested in finance. Chartered Accountancy ...

In today’s digital world, data is power. Every business—from small startups to large global companies—uses data to make ...

An intention refinement method for domain-data analysis using large language models is proposed. It employs a “domain-framing prompt” to relate a domain expert's interests with relevant domain data.

Data analysis techniques using machine learning approaches are the most prominent when we are considering the online fraud, it may be a credit card fraud or any other online fraud in the banking ...