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Prasoon Mukherjee

Large Language Models are not a solution for precise data extraction in banking.

In recent times, large language models (LLMs) have revolutionized the field of natural language processing, demonstrating impressive capabilities in understanding and generating human-like text. Howev...

25 Oct 2023
Post-Trade Forum
Dominic Broom

A game changer for global trade: the new legislation liberating supply chains

Dominic Broom, SVP Working Capital Technology, Arqit, explains why a very succinct piece of legislation is unlocking a transformative approach to trade and supply chain finance, and thereby injecting ...

18 Oct 2023
Treasury Management
Ketharaman Swaminathan

Consumer Credit Ratings Should NOT Get More Personal

In a recent op-ed entitled Credit Ratings Need To Get Personal in the Economic Times, the authors compare corporate credit rating and consumer credit rating and make the case for enriching consumer cr...

16 Oct 2023
Dzmitry Seachouk

Key Focal Points of Building a Test Strategy for a Fintech App

When I start working on creating a test strategy for an application, one of the biggest impacting factors that I need to consider is the application domain. It defines a lot of context for any stage o...

12 Oct 2023
Fintech
Illia Pinchuk

How to Implement a DWH for Banking: 10 Tips

If you want data to bring real value, you should consider how it is stored and processed. Being obliged to follow the ever-changing regulations of national banks and ministries of finance, banks requi...

12 Oct 2023
Data Management and Governance
Dmitriy Wolkenstein

Navigating the Non-Uniform Data Landscape: The Promise of Feature Stores

Hi all, Today we are continuing with our series of articles about data usage, AI/ ML modeling, and analytics in banking. Start. In today’s data-driven world, businesses have a wealth of information av...

09 Oct 2023
Big Data
Dmitriy Wolkenstein

Addressing Data Censoring in Credit Analytics and Model Building

Hi all, Nice to see you again. In this topic, we would like to start with an example to describe the problem of loan portfolio analysis better. Problem example: Data censoring, or the process in whic...

08 Oct 2023
Big Data
Dmitriy Wolkenstein

Deconstructing the Data Dilemma in Banks: Banks have a false sense of having data

Hi all, It's Dmitriy from TIMVERO. Today we are starting our series of articles about data usage, AI/ ML modeling, and analytics in banking. First one is going to be about issues with data availabili...

06 Oct 2023
Big Data
Iain MacLennan

The future of trade finance – views from Sibos

Trade digitization, driven by advances in technologies such as blockchain and AI, has been a topic of conversation at Sibos for the last several years. Yet challenges remain, contributing to the widen...

05 Oct 2023
Banking Strategy, Digital and Transformation
Mantvydas Štareika

Why the SME lending gap needs alt finance to embrace collateralized lending

Despite making up 99 percent of European companies and the backbone of its economy, small- and medium-sized enterprises (SMEs) remain underfunded in the billions of euros. Recent research estimates th...

26 Sep 2023
Small Business Lending Innovation
Sushama Divekar

Chief Data Literacy Officer (CDLO) – the new champion in the data world

The Chief Data Literacy Officer is not yet a role in the Data Management organization but must be – very soon. While the role of the Chief Data Officer has not completely been recognized or manned in ...

17 Aug 2023
Analytics in Banking
Prateek Duhan

The DNA of a Successful Transformation Organization (Part 5)

Replacing Anecdata with Real Insights The Irish mathematician, physicist, and engineer Lord Kelvin left us with numerous scientific inventions and these striking words of wisdom: “What is not defined ...

08 Aug 2023
Fintech

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