AI in Fintech
Explore how artificial intelligence is reshaping financial services. Fintech Review covers the impact of AI on automation, customer experience, risk analysis, and innovation across banking, crypto, payments, and financial platforms.
AI in Fintech: Augmenting Decision-Making, Not Replacing It
Artificial intelligence is transforming fintech. It improves efficiency, enhances customer experience, and enables smarter decision-making. However, the debate continues: should AI replace human decision-makers or serve as an augmentation tool? While AI excels at processing vast datasets, it lacks human intuition. Financial professionals bring expertise, ethical judgment, and strategic thinking. A balanced approach is necessary…
The Role of Artificial Intelligence in Cybersecurity within Fintech
The fintech sector has revolutionised financial services, offering convenience, speed, and innovation. However, with these benefits comes the heightened risk of cyber threats. Cybersecurity has become a critical challenge, and artificial intelligence (AI) is emerging as a transformative solution. We explore the role of AI in enhancing cybersecurity within fintech, highlighting its capabilities, limitations, and…
AI-Powered Personal Finance Management: The Next Big Thing?
The rise of artificial intelligence (AI) has touched every aspect of our lives. From how we shop to how we communicate. In recent years, AI has also started revolutionising personal finance management. It is offering users more control over their money through automation, data analysis, and predictive modelling. With financial decisions becoming more complex, AI-powered…
AI Transformation in Banking: Interview with Alexandra Mousavizadeh
In a rapidly evolving financial services industry, Alexandra Mousavizadeh, Co-Founder and CEO of Evident, is steering the company to the forefront of Artificial Intelligence (AI) transformation in banking. Evident, a benchmarking and intelligence firm, specialises in authoritative, data-driven insights on corporate AI adoption. It began its focus within the banking sector. The Evident AI Index…
AI and Machine Learning in Fintech: Transforming Financial Services
The fintech sector is currently undergoing a significant transformation, with artificial intelligence (AI) and machine learning at the forefront of this change. These technologies are transforming how financial services operate, injecting unprecedented levels of efficiency and innovation. Machine learning is particularly transformative in various fintech applications, such as personalised financial advice and risk assessment, marking…
Utilising AI to Drive Improved Outcomes for customers: Interview with Chirag Shah
Fintech Review sat down with Chirag Shah, Founder of Nucleus Commercial Finance, to get his view on how ultimately automation will drive better outcomes for customers. We talk about how artificial intelligence can make things better for customers, tackle the worries some have about AI being unfair, and look at the big changes coming in…
How Fintech Advances Have Been Shaped by AI and Machine Learning
By Chirag Shah, founder and CEO of Nucleus Commercial Finance and Pulse.io The fintech landscape has changed dramatically during the last five years, primarily due to the developments in artificial intelligence (AI) and machine learning (ML). The change has happened rapidly, revolutionising how financial services operate, including customer engagement and decision-making, across all regions of…
Key Trends Revolutionising the Fintech Landscape
The world of fintech, a blend of finance and technology, has been nothing short of transformative. Over the past decade, fintech innovations have disrupted traditional financial sectors, ushering in new ways of doing business, securing transactions, and enhancing user experience. As we stand at the crossroads of another technological evolution, it’s crucial to identify and…
Fintech and the Need for Ethical Sales Enablement
By Nigel Cannings is co-founder and CTO of Intelligent Voice. There have always been some questions about the ethics behind sales enablement strategies. While producing the best results for businesses, sales enablement has to be carefully monitored for compliance. That is to ensure that the customer’s best interests are always front and centre. The difficulty…
Privacy-friendly AI to detect fraud & more in banking: Interview with Ittai Dayan
Cyber threats and data breaches are becoming increasingly prevalent, particularly in financial services. The banking sector is constantly on the lookout for innovative solutions to protect both institutional assets and customer information. One of the most promising avenues of exploration is the integration of Artificial Intelligence to enhance security measures, specifically in fraud detection. Fintech…
How AI and Open Banking are Unlocking Lending’s Potential
By Chirag Shah, founder and CEO of Nucleus Commercial Finance and Pulse.io The last 20 years have transformed the face of banking and lending. Previously, the traditional high street bank was where customers did everything from withdrawing and paying in money to applying for a loan or mortgage. You can now do everything at the…
Why Australian banks must embrace generative-AI
By Richard Scott, Group Vice President Asia Pacific, Informatica Australian banks have had an unsettling year. Global instability in the financial services sector combined with the nation’s cybersecurity and Privacy Act reforms are putting more pressure on banks with regard to how they manage and use data. At the same time, the rise of the…
Why Retail Banks Need Digital Transformation to Survive
By Jishith Gangadharan from Clayfin. Scaling AI systems across the board has proven to be quite a problem, even if the majority of banking industry AI projects have so far shown promising results. DataQuest reports that 74% of banking executives think new technology will have an impact on their industry. They worry, nevertheless, that incorrect…
Emotion AI in financial services: Interview with Rana Gujral
With technology taking us so far, it is easy to forget about what makes us humans… Before Skynet takes over. Emotions, feelings, a range of things that are not easily replicable or understandable by machines. Or can they? It is not obvious to associate emotion with artificial intelligence, but maybe it should be. Fintech Review…
Conducting Stock Performance Correlations with Machine Learning
Author: Wu Min is the Vice President of Product at Nebula Graph, an open-source distributed graph database. After earning his PhD at Zhejiang University, he worked at Alibaba Cloud and Ant Financial for years. He has also been active in academia. When evaluating companies and stocks, many investors might argue that the more data you…
The Fintech Revolution: Opportunities & Challenges in 2021
Guest post by Sophia Tondon, IT Analyst & Technical Writer at Value Coders. Fintech is an essential part of modern finance. The traditional understanding of financial services has changed. Fintech has brought opportunities for people to enjoy the convenience and speed of managing their financial lives. In addition, it has enormous potential to improve global…
How AI and Predictive Analytics Disrupt the Insurance Industry
Guest post by Timothy Partasevitch, Chief Growth Officer at Smart IT.Smart IT is a custom software development and web development company headquartered in Minsk and San Francisco. Customer service in the insurance industry leaves much to be desired. Clients traditionally had to put up with the lack of smooth operations and absence of personalization. That’s…
2020 Retrospective
At the beginning of last year, everybody made a few predictions for what 2020 would mean for the fintech industry. Obviously, at that point in time, Covid-19 was only a problem in Wuhan, China. You could see it in the distance, and it appeared well under control. That slightly changed in the following months, and…
What Can You Do With AI in Financial Services?
Artificial Intelligence (AI) is probably the biggest buzzword in the business and finance world. Yes, even more than blockchain. AI is not particularly new and can trace its roots back to the mid 1950s. However, it is true that developments in computing over the past 20 years have led the field to progress tremendously. It…
