Harsh Daiya

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Articles

How Data Is Used in Fraud Detection Techniques in Fintech Business

Sep 11, 2024 | dataversity.net | Harsh Daiya

In the rapidly changing world of financial technology (fintech), fraud is a developing area seething with vigor. Digital banking and online financial services are booming every day, bringing with them new techniques for thieves to ply their trade – not ones that can be easily dismissed. Fintech firms must now relentlessly deploy data and artificial intelligence (AI) to combat these threats.
Setting Up a Data Warehouse: A Comprehensive Guide

Sep 5, 2024 | dzone.com | Harsh Daiya

In the rapidly evolving fintech industry, data is a cornerstone for driving innovation, ensuring compliance, and making informed decisions. For Starlight, a burgeoning fintech company, harnessing the power of data is crucial for maintaining a competitive edge. A data warehouse serves as the backbone for such data-driven initiatives, providing a centralized repository where data from various sources is consolidated, analyzed, and made accessible.
How AI is Redefining Exploitation in Cyber Attacks: Deepfake Deceptions

Aug 19, 2024 | hakin9.org | Gaurav Puri |Harsh Daiya

The advancement of artificial intelligence (AI) in recent times has resulted in some ground-breaking applications as well as significant threats to the security landscape. Foremost among these threats is the rise of deepfake technology. Of these threats to our cybersecurity, one particular cyber threat using deepfake technology has been successful in creating a high volume of deceptive threads so convincing that they tap directly into the vulnerabilities of human beings.
Managing Data Workloads Using Kubernetes

Aug 16, 2024 | hackernoon.com | Harsh Daiya

Kubernetes is an open-source container orchestration platform that provides a platform-agnostic way to deploy and manage containerized applications. It was originally developed by Google and has since become the industry standard for container orchestration. One key use case for Kubernetes is in the management of data workloads.
How to Implement Real-Time Credit Card Fraud Detection With Apache Flink on AWS

Aug 7, 2024 | hackernoon.com | Harsh Daiya

Credit card fraud is a significant concern for financial institutions, as it can lead to considerable monetary losses and damage customer trust. Real-time fraud detection systems are essential for identifying and preventing fraudulent transactions as they occur. Apache Flink is an open-source stream processing framework that excels at handling real-time data analytics. In this deep dive, we’ll explore how to implement a real-time credit card fraud detection system using Apache Flink on AWS.
Idempotency in Data Pipelines: Overview

Aug 6, 2024 | dzone.com | Harsh Daiya

Idempotency is an important concept in data engineering, particularly when working with distributed systems or databases. In simple terms, an operation is said to be idempotent if running it multiple times has the same effect as running it once.
My Deep Learning Experiments for Fintech Risk Detection

Aug 5, 2024 | hackernoon.com | Harsh Daiya

Risk evaluation is a key issue in fintech, an industry that never stands still. A tech finance guy at heart, I found myself on a pretty exciting journey trying to figure out how deep learning could be used in risk mechanisms. In this post, I show you my experiment supported by the various steps involved and their results. BackgroundFintech risk detection is all about two-stepping through recognizing potential fraudulent activities, and credit risks as well as ensuring compliance with regulations.
A Guide to the Two-Tower Model for Fraud Detection

Jul 31, 2024 | dzone.com | Gaurav Puri |Harsh Daiya

Fraud detection is a very important task in most industries, especially in finance and e-commerce. The classic machine learning models struggle to handle the subtlety and complexity of patterns rooted in fraudulent behavior. The dual-tower or Siamese network model provides a powerful architecture to handle the complex tasks of parallel processing with two different sets of inputs, thus helping capture the intricate relationships between them.
Anomaly Detection

Jul 30, 2024 | dzone.com | Harsh Daiya |Gaurav Puri

The capability to detect anomalies becomes important in the data-driven world of today and is a key component for various industries such as finance, healthcare, cybersecurity, and manufacturing. Anomalies can be a sign of fraud, system failings, security incidents, or other important events that require immediate attention. The volume, velocity, and variety of streaming data are difficult for traditional anomaly detection techniques to handle.
The Regulatory Reporting Overhaul: Navigating New Compliance Challenges for Financial Institutions

Jul 22, 2024 | finextra.com | Bo Harald |Nickii Mallia |Harsh Daiya |Ketharaman Swaminathan

The next 8 months will see significant changes to the regulatory reporting framework for financial institutions globally. Rewrites of the Japanese Financial Services Agency (JFSA) reporting regulation and the European Market Infrastructure Regulation (EMIR) refit have recently been introduced, with the EMIR equivalent from the UK’s Financial Conduct Authority (FCA) set for the end of September.