Generative AI
Practical guides on Generative AI, governance, risk, security and real-world adoption
End-to-End Data Quality Management Framework (DQMF) in Banking with GenAI Integration
Data quality is mission-critical in banking, as poor data can erode trust and even impact revenue (businesses reported an average 31% revenue loss due to bad data in 2023). Banks handle diverse data (customer info, transactions,…
The Curious Case of AI Benchmarks
Ask someone what the best AI model is, and you’ll get all sorts of answers—some based on personal experience, others influenced by company preferences or flashy marketing.
But scientists don’t rely on opinions; they use benchmarks—structured…
LCMs: Large Concept Models – The Path to AGI & The Future of AI Thinking
In December 2024, Meta released a groundbreaking research paper detailing their work on Large Concept Models (LCMs). This represents a significant leap forward in artificial intelligence, moving beyond the limitations of traditional Large Language Models (LLMs)…
2024: The Transformative Year in AI: Breakthroughs That Redefined the Future
2024 was a groundbreaking year for artificial intelligence, featuring innovations that redefined possibilities. From a Nobel Prize-winning AI advancing scientific discovery to a quantum chip solving in minutes what classical supercomputers would take eons to crack,…
ChatGPT Canvas: Your 24/7 Coding Assistant
Imagine you’re tasked with writing code for your project, debugging complex errors, or optimizing existing scripts. Wouldn’t it be convenient if you had a dedicated assistant to help with every aspect of the coding process? An…
ChatGPT Canvas: Your 24/7 Writing Assistant
Imagine you’re tasked with writing an internal document for your department or drafting a blog for online publication. Wouldn’t it be convenient if you had a dedicated assistant to handle every aspect of the writing process?…
Generative AI is reshaping how people work, learn, create, and make decisions. This section brings together practical guides, explainers, and research notes on LLMs, AI agents, multimodal systems, GenAI tools, benchmarks, productivity, and real-world applications.
