RAG vs Fine-Tuning — Choosing the Right Approach for Your Enterprise AI 🎙️ In her conversation with Raja Iqbal on the Future of Data and AI Podcast, Robin Sutara (Field CDO, Databricks) shared whether enterprises are leveragng iRAG or fine-tuning their models. Both strategies

🚀 Breaking Down Complex Problems with Agentic AI Planning Pattern Traditional AI systems struggle with multi-step reasoning and adapting to new information. The Agentic AI Planning Pattern solves this by: ✅ Structuring a plan ✅ Generating actionable tasks ✅ Executing tasks

Next Up in Our Community Webinar: Product Management for Agentic AI 🚀 Join our very own Raja Iqbal, CEO and Chief Data Scientist at Data Science Dojo, as we explore how AI is evolving from passive tools to autonomous agents — and what that means for the future of product

🧪 How Do You Evaluate an LLM Agent? This Paper Maps the Entire Landscape As LLMs evolve into autonomous agents — planning, reasoning, using tools, and holding memory across steps — evaluating them becomes a whole new challenge. This comprehensive survey by researchers from

💡 Why Are Some Companies Faster at Adopting AI Than Others? In our latest podcast episode, Robin Sutara offers a balanced perspective on a commonly debated issue: does regulation slow down AI adoption, or does it actually provide the clarity enterprises need to move forward?

Next Up in Our Community Webinar: Product Management Challenges in Agentic AI 🚀 Join our very own Raja Iqbal, CEO and Chief Data Scientist at Data Science Dojo, as we explore how AI is evolving from passive tools to autonomous agents — and what that means for the future of

🧠 Choosing the right data structure = better performance, faster queries, and smarter systems. From B-Trees to LSM Trees, every structure plays a specific role in how databases store and access data. This carousel breaks down 7 essential database data structures — what they

Who’s thinking about how children experience generative AI? This research finally does. The Alan Turing Institute, in collaboration with UNICEF and the LEGO Foundation, conducted one of the most in-depth studies to date on how children, parents, and teachers perceive and

Next Up in Our Community Webinar: Product Management for Agentic AI 🚀 Join our very own Raja Iqbal, CEO and Chief Data Scientist at Data Science Dojo, as we explore how AI is evolving from passive tools to autonomous agents — and what that means for the future of product

LLMs are redefining security boundaries — this AWS paper is a field guide for CISOs. As generative AI moves from prototypes to production, the attack surface grows. This white paper from AWS dives into eight major threat vectors unique to LLMs and agentic systems — and outlines

Next Up in Our Community Webinar: Product Management for Agentic AI 🚀 Join our very own Raja Iqbal, CEO and Chief Data Scientist at Data Science Dojo, as we explore how AI is evolving from passive tools to autonomous agents — and what that means for the future of product

🛠️ Claude Code Isn’t Just for Engineers — Here’s How It’s Reshaping Work Across Anthropic In this internal deep dive, Anthropic shares how teams across engineering, marketing, legal, security, product, and design use Claude Code to automate workflows, debug infrastructure, ship

🧠 Are LLMs Actually Reasoning — or Just Good at Guessing? A new paper from Apple researchers dives deep into what thinking looks like inside today’s so-called Large Reasoning Models (LRMs), like Claude 3.7 Thinking and DeepSeek-R1. The team challenges the common assumption that

🧠 Can AI Agents Compete in Real Data Science? AUTOMIND Says Yes. AUTOMIND is a next-gen agent framework designed to automate end-to-end data science workflows — and it’s already outperforming humans on Kaggle-style benchmarks. 🔍 What’s New in AUTOMIND: ♦️ Expert-Guided

Next Up in Our Community Webinar: Product Management Challenges in Agentic AI 🚀 Join our very own Raja Iqbal, CEO and Chief Data Scientist at Data Science Dojo, as we explore how AI is evolving from passive tools to autonomous agents — and what that means for the future of

🔍 Your model might be accurate — but is it fair, safe, and trustworthy? Whether you're building models for healthcare, finance, or even content, accuracy isn’t enough. To build AI systems that are actually safe and useful, you need to get 5 things right: 1. Fairness keeps

Next Up in Our Community Webinar: Product Management for Agentic AI 🚀 Join our very own Raja Iqbal, CEO and Chief Data Scientist at Data Science Dojo, as we explore how AI is evolving from passive tools to autonomous agents — and what that means for the future of product

📊 Demystifying Vector Databases for AI Most databases weren’t built with AI in mind, but vector databases are changing the game. 🔍 In this post, we break down: - Why traditional databases fall short for similarity search - How vector embeddings work - The key features that