https://www.jashds.com/blog Insights on enterprise AI, Agentic AI, machine learning and data engineering from Jash Data Sciences. en https://www.jashds.com/blog/the-evolution-of-data-architecture-from-legacy-systems-to-unified-intelligence https://www.jashds.com/blog/the-evolution-of-data-architecture-from-legacy-systems-to-unified-intelligence Wed, 01 Apr 2026 12:46:57 GMT This article walks through eight distinct stages of this evolution, explaining the breakthroughs that defined each era from early transaction systems through NoSQL databases, real-time processing, cloud and hybrid arch https://www.jashds.com/blog/real-time-insights-or-real-time-transactions-why-you-shouldn-t-have-to-choose-1 https://www.jashds.com/blog/real-time-insights-or-real-time-transactions-why-you-shouldn-t-have-to-choose-1 Tue, 17 Feb 2026 06:31:12 GMT There’s a specific moment in every successful fintech’s journey where the reporting breaks. You’ll see it in a leadership meeting: Finance is asking for daily settlements, Risk needs instant reconciliation, and Customer… https://www.jashds.com/blog/beyond-the-scrape-conquering-the-authentication-maze-in-enterprise-data-extraction https://www.jashds.com/blog/beyond-the-scrape-conquering-the-authentication-maze-in-enterprise-data-extraction Fri, 12 Dec 2025 05:17:59 GMT Automated data extraction is crucial for businesses to gather insights from online sources, enabling everything from market research to competitive analysis. Yet even authorized extraction faces significant hurdles. https://www.jashds.com/blog/transforming-legal-document-search-with-ai-powered-semantic-technology https://www.jashds.com/blog/transforming-legal-document-search-with-ai-powered-semantic-technology Mon, 04 Aug 2025 10:08:14 GMT A senior partner at a construction law firm watched her assistant's face turn pale as she took the call. She knew something was wrong. https://www.jashds.com/blog/building-reusable-etl-components-with-matillion-from-chaos-to-clarity https://www.jashds.com/blog/building-reusable-etl-components-with-matillion-from-chaos-to-clarity Wed, 18 Jun 2025 11:37:27 GMT Remember those satisfying clicks when LEGO bricks snap perfectly into place? What if I told you they hold the secret to revolutionizing your ETL pipeline development? Here's how we transformed our chaotic data… https://www.jashds.com/blog/breaking-the-legacy-data-warehouse-barrier-j-dim-s-technical-revolution https://www.jashds.com/blog/breaking-the-legacy-data-warehouse-barrier-j-dim-s-technical-revolution Thu, 22 May 2025 05:04:16 GMT Legacy data infrastructures are crippling enterprise innovation. J-DIM's AI-powered migration suite transforms outdated data warehouses into modern lakehouses with 30 to 90% schema reduction, up to 5x faster processing,… https://www.jashds.com/blog/host-your-deep-learning-model-on-aws-free-tier https://www.jashds.com/blog/host-your-deep-learning-model-on-aws-free-tier Mon, 22 Jul 2019 06:04:23 GMT In this article, I will tell step by step how I hosted my deep-learning model using amazon’s AWS EC2 Free Tier instance for non-production loads and fastai library. You can use any library for DL/ ML model development.… https://www.jashds.com/blog/guide-to-text-classification-with-fastai https://www.jashds.com/blog/guide-to-text-classification-with-fastai Fri, 21 Jun 2019 06:31:46 GMT With thorough explanation of classes and methods from fastai.text. With the advent of Transfer Learning, language models are becoming increasingly popular in text classification and many other problems in Natural… https://www.jashds.com/blog/measuring-unintended-bias-in-text-classification https://www.jashds.com/blog/measuring-unintended-bias-in-text-classification Tue, 11 Jun 2019 06:55:34 GMT Text classification models can have unintended bias, which can have real world consequences. Learn about ways in which this can be reduced by creating a metric to measure it. https://www.jashds.com/blog/fuzzy-string-matching-in-python https://www.jashds.com/blog/fuzzy-string-matching-in-python Mon, 13 May 2019 00:00:00 GMT How amazing is it to input an address and get a list of best-matched suggestions, or detect misspelled words? A practical guide to fuzzy string matching in Python with the FuzzyWuzzy library — Levenshtein distance, the four ratio types, and matching against a list of choices.