FINTECH Insights.

12 June 2022, 10.18am – Gavin Spitzner delves into a day in the life of an AI enabled wealth manager.

The use of AI in financial services will continue to grow across the board. Djamila Amimer talk about the evolution of financial services in the face of AI.

How is it that algorithmic bias is one of the hottest topics in artificial intelligence right now? Isn’t the point of using machines to make fair decisions removed from human bias? Aren’t machines neutral after all? Caryn Tan discusses the ethics around AI.

One of the most significant sources of income in retail banking comes from lending, but that does not come without risk and time-consuming activities. Antonio Gaspar discusses how AI could streamline this process.

Artificial Intelligence (AI) is changing financial services. This also represents a challenge to business governance that extends to how risk management is applied.

When combining Artificial Intelligence / Machine Learning (AI/ML) and Regtech, two of the most hyped concepts today are mixed. Ake Freji explains.

There have been amazing leaps in AI technology within the Fintech sector over the past few decades. Anand Rao talks about fintech in the age of superhuman intelligence.

Yahya Mohamed Mao talks about how AI-driven trends for the future will favour the omnipresence of cloud computing.

Artificial Intelligence is becoming more commonly used in a variety of financial applications. Not just in identification and authentication but also in communications and complex services like risk analysis and insurance claims.

Intuitive Intelligence (II) and Artificial Intelligence (AI) – Dr Manj Subiah discusses what they are, why they matter and the common link between both.

Panos Skliamis gives his opinion on the debate initiated by the US Treasury Department on a radical overhaul of financial technology regulations, so as for innovative fintech solutions to be facilitated.

Quantum machine learning is an emerging interdisciplinary research area at the intersection of quantum physics and machine learning. Bhagvan Kommadi talks about what quantum machine learning can do for technology.

The enterprise world is exploding with data, generated through traditional mechanisms like corporate systems and new mechanisms like digital, IOT and sensors. Reetwija Chakraborty discusses the case for AI enabled enterprise processes.

The world has paid a heavy price for trust, transparency, controls and accountability, in terms of transactional costs and subsequently leading to the pricing of products and services. In isolation every incumbent in Financial Services space has maintained, paid and will continue to pay for it to be legitimate, transparent and trustworthy. Anshul Srivastav discusses ethics, transparency and trust in the world of AI.

New Zealand has long been a test bed for companies to test out new ideas on a sample population before releasing them worldwide; partially because it is remote enough that any bugs are unlikely to reach mainstream US press. Microsoft, Yahoo and Facebook have recently piloted new features to name but a few. Henry Midgley gives us an overview of the New Zealand fintech landscape.

“Virtually every Forbes Global 2000 company is on some sort of digital transformation journey.  Basically, one in eight got it right”

Financial technology companies are offering salary-linked products. Salary linked products are related to salary processing, loan payments and transfers. The analytics related to how long anindividual has been with their employer is used by the employer for performance metrics.

With an increasing number of Fintech companies based in Manchester a much needed central hub for this growing ecosystem has been widely welcomed by the region’s business and tech community