Insights on AI, RPA, and Digital Transformation
Explore BlogsLearn how to design and build a scalable Data Lake on AWS using S3, Glue, Athena, Redshift, QuickSight, and Lake Formation. Includes architecture, workflow, and best practices.
Read MoreLearn how to detect fraud in credit card transactions using AI and Python. Covers data, features, supervised & unsupervised models, code examples, explainability, and deployment best practices.
Read MoreSemantic search uses embeddings to capture the meaning of text so you retrieve relevant results.
Read MoreA practical guide to model evaluation metrics: classification, regression, ranking and business metrics — when to use each, pros and cons.
Read MoreHow to integrate semantic search with Generative AI (GPT) to build chat-with-your-documents systems using Python and LangChain.
Read MoreUse case of Generative AI in FinTech: AI-powered Smart Payment Assistant at POS for digital payments.
Read MoreMonte Carlo Simulation usesrandom sampling to estimate probabilities of outcomes in uncertain processes. In option pricing, it means simulating future stock prices, calculating option payoffs, and averaging results.
Read MoreA practical walkthrough: implement a Sudoku solver in Python using backtracking (plus simple optimizations). Includes runnable code and example.
Read MoreHow to build a safe, human-in-the-loop agentic AI prototype using embeddings, retrieval, LangChain agents and a broker API.
Read MoreExplore the top AI trends in 2025: Generative AI, Agentic AI, RAG with knowledge graphs, synthetic data, multimodal models, AI governance and more.
Read MoreIntroduction to Vision Transformers (ViT) with clear explanation and runnable Python code samples (PyTorch).
Read MoreExplore practical use cases of Agentic AI across business, finance, healthcare, customer support, supply chain, and personal productivity.
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