Innovating the Future: Top 3 Fintech Trends to Watch in 2023
Don't miss out on the latest Fintech developments. Check out the Top 3 Fintech trends for 2023 from our Chief Innovation Officer – Hosein Abedinpourshotorban.
Don't miss out on the latest Fintech developments. Check out the Top 3 Fintech trends for 2023 from our Chief Innovation Officer – Hosein Abedinpourshotorban.
What was once a science-fiction dream is now a part of our everyday lives. Artificial intelligence (AI) is evolving at an unprecedented pace and will lay the groundwork for more technological innovations and business opportunities. Here are three AI trends to lookout for in 2023.
Did you know one of the biggest concerns in ensuring machine learning functions well is overfitting? Our very own proprietary artificial intelligence (AI), Juris Mindcraft is created to help make your work easier, and here is how
Traditional lending processes are of the past. With new AI-powered technologies spurring in more competitiveness in the lending market, financial institutions are bound to see the greater truth of digital adoption. Learn how you can speed up and improve lending processes.
This is part 2 of the series answering one of the most popular questions on Artificial Intelligence (AI). What is the reasoning behind the claims of the “black box problem” by data scientists when it comes to machine learning and AI?
Let’s take a look at how some banks or financial institutions in APAC are using AI to their advantage.
How does one become eligible to get access to credit and financial products without a credit history? This question has plagued the world of finance for years hindering a majority of credit products from becoming accessible to the underbanked population.
As digital ecosystems are evolving, come discover the core functionalities that are driving the growth of these ecosystems and how they are being utilised in the Fintech industry.
Dive deeper into the world of chatbots to learn how they are being utilised, and ways they can to add value to your business and your customers.
What is the reasoning behind the claims of the “black box problem” by data scientists when it comes to machine learning and AI?