Understanding PCI DSS vulnerability management doesn’t have to be complicated. This blog explains in plain English how businesses can identify, rank, and fix system vulnerabilities to stay secure and compliant even without deep technical knowledge. Continue reading What Businesses Should Know About PCI DSS Vulnerability Risk Ranking (in Simple Words)
In today’s data-driven world, understanding data analytics is crucial for businesses and individuals alike. This guide delves into the fundamentals of data analytics, its types, processes, tools, and its significance in various industries. Introduction to Data Analytics Data analytics refers to the systematic computational analysis of data or statistics. It involves inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support … Continue reading What is Data Analytics? A Comprehensive Guide for Beginners
By Bidya Bhushan Bibhu | March 2025 I recently attended the Gartner Risk and Security Summit 2025, and the experience was eye-opening. Gartner experts and industry leaders gathered to discuss the future of security, risk management, and compliance, highlighting critical changes and trends impacting businesses globally. If you’re someone who thinks risk management is only for technical teams, think again. The conference clearly showed how … Continue reading Insights from Gartner Risk & Security Summit 2025: What You Need to Know
Overview Data privacy is becoming an increasingly critical aspect of analytics and machine learning. Organizations face challenges balancing data utility and privacy, especially with strict regulatory requirements such as GDPR and CCPA. In response, companies like Google have pioneered advanced privacy-preserving techniques, such as federated learning and differential privacy, which enable robust data insights while maintaining privacy. Let’s explore these methods and how they redefine … Continue reading Privacy-Preserving Data Analytics: The Future of Secure AI, Compliance, and Innovation
Overview In the ever-evolving landscape of database technology, choosing between Apache Cassandra and MongoDB remains one of the most critical decisions for architects and developers. This comprehensive guide will walk you through everything from high-level concepts to hands-on technical implementations, helping you make an informed decision for your next project. 1. Understanding the Fundamentals Cassandra at a Glance Apache Cassandra operates on a masterless architecture, … Continue reading Cassandra vs MongoDB, Which Application DB to Choose?
Understanding the Difference Between Risk and Issue In any organization, particularly in complex industries like payments, understanding the distinction between risk and issue is crucial for effective project management and risk mitigation. As a risk professional, I’ve seen how often these terms are used interchangeably, but they hold fundamentally different meanings. Recognizing these differences can help businesses, including payment gateway to navigate challenges and optimize … Continue reading Key Differences Between Risk and Issue
Empowering Teams While Ensuring Security Data is the lifeblood of innovation, but its true power is unlocked when it is accessible to those who need it most. – Bidya Bhushan Bibhu Introduction Facebook’s approach to democratizing data access emphasizes enabling teams to make data-driven decisions without compromising sensitive information or regulatory compliance. This post explores the platform’s initiatives, focusing on how tools like FBLearner Flow … Continue reading How Facebook Democratizes Data Access?
Unlocking Synthetic Data: Microsoft’s Path to Privacy-Preserving ML The rise of synthetic data generation marks a pivotal shift in how machine learning (ML) models are trained, especially in sensitive fields like healthcare. By creating data that mimics the properties of real datasets, synthetic data enables organizations to train models without exposing sensitive information. Microsoft has been at the forefront of this innovation, exploring its use … Continue reading How Microsoft Enhances ML with Synthetic Data Techniques
Ensuring Reliable ML Pipelines with DataHub What to Expect in the Blog?Explore LinkedIn’s approach to data observability and metadata management with DataHub, focusing on proactive monitoring, data lineage, and data quality enhancement across ML pipelines. Tags: LinkedIn, DataHub, data observability, metadata management, ML pipeline reliability, data lineage, data quality, proactive monitoring Data Observability at LinkedIn Keeping ML Pipelines Reliable with DataHub Maintaining reliable machine learning … Continue reading Mastering Data Observability for ML Success at LinkedIn
What to Expect in the blog? Discover the power of Uber’s Michelangelo ML platform, supporting over 10 million predictions per second, with a robust feature store and scalable end-to-end ML workflows. Introduction As machine learning matures, organizations with complex operations face the challenge of building robust, scalable ML platforms. Uber’s Michelangelo is an excellent example of how to do this successfully. Handling more than 10 … Continue reading Uber’s Michelangelo: Revolutionizing ML Scalability
Product Data & Everything 