Tag: Finances
AI in Finance: A Guide to the Future

AI in Finance: A Guide to the Future

Financial technologies powered by AI are the agents of the new era in the financial industry. After being a plot in science fiction, it has now become reality and a power that drives innovation, efficiency, and customer engagement. Below are the ways AI is...

DSS NYC 2024 – practical examples of leveraging AI for Finance

DSS NYC 2024 – practical examples of leveraging AI for Finance

The Data Science Salon New York 2024 provided a remarkable platform for professionals to connect and exchange insights on the evolving landscape of AI and Machine Learning. The event featured in-depth discussions on Generative AI, Large Language Models (LLMs) in...

DSS NYC 2024 – where Finance meets AI and Machine Learning

DSS NYC 2024 – where Finance meets AI and Machine Learning

With guests from S&P, Fitch Ratings, and Deutsche Bank, the upcoming Data Science Salon 2024 conference will encompass a plethora of finance-related topics, including credit risk, navigating bias in datasets, and applications of Large Language Models, among...

Product Innovation and Enterprise AI in Finance

Product Innovation and Enterprise AI in Finance

This article discusses the needs and challenges of enterprise AI for product innovation based on Winnie Cheng’s presentation at Data Science Salon NYC on the same topic. Winnie Cheng is a director of AI in PWC’s innovation hub with more than 20 years of experience in...

How AI is Augmenting the Digital Transformation in Finance

How AI is Augmenting the Digital Transformation in Finance

The universe of machine learning (ML) and its applications is expanding at an ever-increasing rate and there is hardly any industry that is not leveraging the power of sophisticated and cutting-edge algorithms to foster business growth. Solutions using Artificial...

How Natural Language Processing Supports Financial Services

How Natural Language Processing Supports Financial Services

Financial services are traditionally a data-heavy industry full of transactional data, user data and textual data. While these data sets are very rich in information and could provide valuable insights, 80% of the information is unstructured and analyzing them...

How cloud computing benefits data science

How cloud computing benefits data science

Cloud computing is essentially the backbone of data science. But what exactly makes this technology so critical for data scientists and the AI solutions they build? Businesses are moving to the cloud  According to the Flexera (formerly RightScale) State of Cloud...