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Dmitriy Wolkenstein

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TIMVERO
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Dmitriy Wolkenstein

Fraud Prevention in Digital Lending: AI vs. Cybercriminals

Digital lenders must scale trust as fast as fraud is scaling. The platforms that survive will design adaptive, ethical, and AI-enhanced security—not as friction, but as fluid, invisible strength. ‍ Fraud Prevention in Digital Lending: AI vs. Cybercriminals ‍ In 2024, 42.5% of all fraud attempts in the financial services sector were AI-generated, a...

21 April 2025 /ai /crime Artificial Intelligence and Financial Services

Dmitriy Wolkenstein

The Importance of understanding profitability of each customer

What are we discussing here? In this piece, we will delve into a method that empowers banks with deeper insights into their existing operations, facilitating a structured approach to discerning primary revenue sources and gearing up for impending challenges. Visualize this scenario: You're a bank CEO going through the quarterly financial results ...

13 October 2023 /retail /startups Digital Bank Transformation

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 available to them, gathered from a myriad of sources. However, a common challenge that most organizations face is the non-uniform format of this data, w...

09 October 2023 /retail /wholesale 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 which some data is not available or biased, presents a significant problem for businesses across various sectors. This issue becomes highly prevalent when...

08 October 2023 /retail /wholesale 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 availability. So, let’s start. In today’s banking sector, institutions may find themselves perched upon a false sense of data availability. Often, they may beli...

06 October 2023 /retail /wholesale Big Data

Dmitriy Wolkenstein

The Crucial Role of Experimentation and Testing in Today's Competitive Banking Landscape

Hi all, Nice to see you again. In this topic, we would like to continue with an exploration of the problem and potential solutions to improve loan portfolio analytics. Introduction In today’s high-stakes banking industry, continuous innovation, strategy implementation, product development, and operational efficiency enhancement are more than just ...

04 October 2023 /retail /predictions Analytics in Banking

Dmitriy writes about

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