News
5 Ways Business Leaders Can Use A.I. to Help Make Better Financial Decisions
August 16, 2023
source: ceoworld.biz
By mid-2022, 80% of business executives already believed that AI could be used to automate any business decision.
AI in the financial industry: Machine learning in banking
August 16, 2023
source: openaccessgovernment.org
Dr Hassan Khan, Head of School of Digital Finance at Arden University, describes the growing influence of AI in the financial industry
From Brokers to Bots: How AI Is Reshaping Asset Management
August 15, 2023
source: financemagnates.com
AI in asset management is expected to grow at a rate of 245% annually. The systems can now monitor asset performances and market direction in real time.
Navigating the AI-driven future in finance requires a comprehensive understanding of systemic interdependencies and the ability to mitigate potential risks.
Living on the edge: How edge cases will determine the future of generative AI
August 14, 2023
source: venturebeat.com
Generative AI creates new data from old experiences and old data, and has been around for some time.
AI in Finance: Transforming Customer Experience and Engagement
August 10, 2023
source: energyportal.eu
Artificial intelligence (AI) has been making significant strides in various industries, and the financial sector is no exception.
The experience of finance suggests that AI will transform some industries -sometimes very quickly- and that it will especially benefit larger players.
Banks have used A.I. for decades—but now it’s going to take off like never before
August 9, 2023
source: fortune.com
Regardless of the breadth of adoption, artificial intelligence is deeply integrated into finance.
How to leverage large language models without breaking the bank
August 9, 2023
source: venturebeat.com
Generative AI continues to dominate headlines. At its onset, we were all taken in by the novelty. But now we’re far beyond the fun and games — we’re seeing its real impact on business.
Financial services firms are using Artificial Intelligence (AI) and Machine Learning (ML) more and more heavily.
