The rise of Big Data I want to take you back to 2012 . In those early years, our focus was big data, and everyone else was looking at the cloud. We were pioneering, but in a world that was still beginning to understand the value of data.
Executive Summary ML6 went to the AI Engineer summit in Paris. We are confident that agents are here to stay, and MCP will be at the forefront of this trend. While MCP adoption is skyrocketing, its potential remains heavily underutilized. And while many agent projects are still explorative, those that find a suitable use case can radically transform their processes through iterative engineering.
In this blogpost, Jens Bontinck, Head of Delivery Advice, shares his view on the status quo of AutoGPT. In this blogpost, you will not learn how to run it, nor will I go into details of the technical solution. Therefore, if you are a product owner, a functional analist, or a commercial enthousiast, this should be right up your alley. Happy to read your feedback! I have been closely following the development of AutoGPT, created by Significant Gravitas. AutoGPT stands for Autonomous Generative Pre-training Transformer and is an open-source experiment that is drawing a lot of attention at the moment of writing ( GitHub link ). AutoGPT goes beyond an ordinary chatbot, and its decision-making power reduces the need for human intervention and thus allows for future automation and value creation. Did you skipped a heartbeat when seeing the first possibilities, or did the current missing features made you rather nervous?