Artificial Intelligence

2025 made one thing clear. AI is no longer emerging. It’s embedded. What started as experimentation has turned into infrastructure. From automation and coding to design, video, content, and agents, these tools now sit at the core of how modern teams build, ship, and scale. The real shift isn’t the number of tools, but how seamlessly they fit into daily workflows. AI has moved from curiosity to capability, freeing humans to think higher level, move faster, and create with intent. If you’re...

You use AI daily. But do you know the terms? 85 AI terms explained in plain English: What's Generative AI? What’s an Agent? That's what you probably know. But ever heard of AGI or ASI? Read this post to become fluent in AI. THE FOUNDATIONS AI — Systems performing human-like thinking Machine Learning — Learning patterns from data Deep Learning — ML with layered neural networks Neural Network — Interconnected nodes processing information HOW AI LEARNS Supervised Learning — Training with...

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𝗬𝗼𝘂 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗰𝗼𝗱𝗲 𝘁𝗼 𝗹𝗲𝗮𝗱 𝗶𝗻 𝗔𝗜. ⬇️ But you do need to learn fast, think clearly, and build smart. The best product managers today? Aren't ML PhDs. They're translators between business, tech, and customers. 𝗛𝗲𝗿𝗲'𝘀 𝘆𝗼𝘂𝗿 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗼𝗻𝗲: ⬇️ 1. 𝗕𝗮𝘀𝗶𝗰 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 → Understand foundational ML/LLM concepts, architectures, and terminology. (LLMs, Transformers, SLMs, SAMs...) 2. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 → Learn how to talk to the models effectively — your interface to power. (Chain-of-thought...

Manthan Patel and I mapped out the entire AI Engineering roadmap to learn AI in 2026 👇 It's not just about prompting ChatGPT. It's 13 layers from math foundations to production systems: 1️⃣ Mathematical Foundations Linear algebra, calculus, probability, and statistics form the bedrock. You can't understand how neural networks learn without knowing gradient descent or matrix multiplication. 2️⃣ Programming Foundations Python is non-negotiable. Add NumPy, Pandas, and software engineering...

In 2026, AI won’t expose weak technology. It’ll expose weak leadership. And in 2026, that gap could define who leads and who’s left behind. That’s why 80% never make it past the pilot phase As AI accelerates into 2026, the winners won’t be the ones experimenting. They’ll be the ones prepared. From McKinsey to Stanford, these are the playbooks the world’s most trusted authorities are using to scale AI, not just talk about it. Every organization says they’re AI-ready. But few actually are...

You must know these 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 as an 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿. If you are building Agentic Systems in an Enterprise setting you will soon discover that the simplest workflow patterns work the best and bring the most business value. At the end of last year Anthropic did a great job summarising the top patterns for these workflows and they still hold strong. Let’s explore what they are and where each can be useful: 𝟭. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗖𝗵𝗮𝗶𝗻𝗶𝗻𝗴: This pattern decomposes a complex task and tries...

900M people are using AI right now and so, I tried more tools than I can count this year. Only five actually stayed in my workflow though! Because they literally made real work feel lighter day after day. Here are the ones that I use almost everyday: Gamma Most weeks I need a deck now. Board update, partner sync, internal alignment, client calls. Gamma is where I go to turn those ideas into something presentable in minutes, without pulling a designer or opening Powerpoint. gamma.app Topview...

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𝗘𝘂𝗿𝗼𝗽𝗲 𝗶𝘀 𝘄𝗶𝗻𝗻𝗶𝗻𝗴 the AI race. Everyone repeats the same line: “𝘌𝘶𝘳𝘰𝘱𝘦 𝘤𝘢𝘯’𝘵 𝘣𝘶𝘪𝘭𝘥 𝘈𝘐 𝘤𝘩𝘢𝘮𝘱𝘪𝘰𝘯𝘴.” Meanwhile, this list shows 𝟮𝟯 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗔𝗜 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝘄𝗼𝗿𝘁𝗵 $𝟭𝗕+, together over $𝟵𝟴𝗕 𝗶𝗻 𝘃𝗮𝗹𝘂𝗲. But here’s the real takeaway: These companies aren’t trying to compete at the foundation layer. They’re winning by 𝗼𝘄𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗹𝗮𝘆𝗲𝗿. Look at what Europe’s most valuable AI companies are actually building: • AI for defense and security • Autonomous driving • AI dev tooling and code generation •...

As enterprises move from AI experimentation to real AI-powered operations, a new category is rapidly forming: AI Cloud Managed Services. This is the critical layer that sits between raw accelerators (chipsets) and the AI products and applications that organizations are trying to deploy at scale. Across our recent engagements and active production workloads, a clear pattern is emerging. Enterprises across sectors are asking for the same foundational capabilities to develop and run AI...

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