The use of Artificial Intelligence in business can be an overwhelming problem, not because of a lack of opportunities but because of the abundance of them. Just knowing where to start can be difficult. The Lean AI Canvas was originally created as a systematic approach for this specific problem, to serve as a framework for exploiting AI opportunities reliably and repeatably. In the next version, Lean AI Canvas 2.0, the key addition is the 'Explore' phase, which aids in the discovery of AI opportunities ripe for exploitation.

We live in a world where artificial intelligence isn't just a buzzword anymore, but a stark reality defining the winners and losers. The launch of the GPT Store for ChatGPT marks a shift for AI as an essential element in any business strategy as creating bespoke AI tools got faster and easier than ever in the history of business. It's a clear sign to adapt swiftly or be left behind.

Looking to enhance your business with AI but unsure where to start? Here is a process that I use with clients, boiled down to a simple canvas-like tool. It aims to offer a practical and structured approach for businesses of all sizes to identify and implement new AI opportunities effectively.

It is important to understand one thing about AI: Your AI can be hacked and currently there is nothing you can do about it. Sort of. This is not conventional hacking but rather a sophisticated manipulation of the AI. It involves techniques almost akin to social engineering, where the AI is tricked into revealing things that could contain confidential information or new attack vectors. Much like you would do to a human target in a social engineering attack.

Rumor mills are going crazy about OpenAI Q* being able to crack internet encryption. All of this is hard to follow so here is my effort to unpack what is going on.

Getting started with AI can be a daunting concept, even though you know it is something you should be looking at. The way to get started is to learn the basics, build a small AI agent to augment your teams, and most importantly, keep building and iterating. Let’s take a look at this through a simple example of building an AI agent empowering HR/team managers by automating team holiday approvals.

While the realm of Artificial Intelligence (AI) is continuously growing, what sets AutoGen apart is its ability to autonomously run high-quality workflows. It achieves this by having multiple specialized AI agents, including something akin to your personal assistant.

The Lean AI approach is akin to strategic iteration. Instead of diving headfirst into building colossal systems, the process emphasizes trying to find the possible failure points as quickly as possible by starting small, testing, and refining. By doing so, you're not only conserving resources but also ensuring that each step you take is calculated and effective.

GPT-4 Vision (GPT-4V) is a giant leap for generalist AI, bringing image analysis capabilities to everyone, and making AI friendlier for beginners. It marries image recognition with text understanding, allowing for a richer narrative from data. In a world where businesses are in the heat of competition, GPT-4V is the gateway to gaining a real-world edge over competition.

In late July, Elon Musk showcased a live demo of Tesla's Full Self Driving version 12 (FSD v12), sparking a mixed reception that ranged from “holy cow!” to “meh”. The split reaction was probably due to the tech-heavy nature of the demonstration, which may have flown over the heads of the general public. On the surface, the demo might have seemed like just another tech update. So, let’s delve a little deeper to understand what really transpired.