Published inArtificial Intelligence in Plain EnglishReal-Time Fraud Detection in Banking — ML System Design Use Case 1IntroductionNov 23Nov 23
Published inArtificial Intelligence in Plain EnglishData Preparation for Deep Learning vs. Machine Learning: A Technical GuideIn both machine learning (ML) and deep learning (DL), data preparation is one of the most critical steps that can make or break the success…Nov 14Nov 14
Risk Management in Your Data Project — Part 2How to Effectively Use Prototypes and Proofs of Concept to Fail Fast and Reduce RiskOct 11Oct 11
Risk Management in Your Data Project — Part 1In any data project, the presence of risk is almost inevitable. Much like everyday life, where we worry about unlikely threats like sharks…Oct 8Oct 8
Published inArtificial Intelligence in Plain EnglishUnderstanding Open Source Project Life Cycles: A Comprehensive GuideOpen source software has gained massive traction in recent years, but not all projects follow the same path from creation to success or…Oct 7Oct 7
Published inArtificial Intelligence in Plain EnglishEvaluating and Selecting Data Management Solutions — Technology Selection (Part 1)Choosing the right technology is one of the most critical decisions any organization faces when embarking on a new project, especially in…Oct 3Oct 3
Building Scalable Data Applications: Key Considerations for Security and Risk Management — Part 3In the previous parts of this blog series, we explored the initial phases of identifying the right problems to solve, aligning with…Oct 1Oct 1
Key Data Project Types and Considerations — Part 2: Data Processing and AnalysisImagine you’re working in an e-commerce company where daily customer orders generate large amounts of raw data. This data is collected…Sep 30Sep 30
Key Data Project Types and Considerations — Part 1: Mastering Data PipelinesImagine a healthcare organization where patient data flows in from hospitals, clinics, and pharmacies every single day. Every day, a vast…Sep 28Sep 28
Published inArtificial Intelligence in Plain EnglishA Comprehensive Guide to Data Engineering on Azure: Pricing and ServicesData engineering is a critical part of building scalable, efficient data pipelines and leveraging cloud services like Azure can provide an…Sep 23Sep 23
