The Fast Track to AI with JavaScript and Serverless

Elger: I'm going to talk to you about AI as a service, fast track to AI with serverless. I'm not going to go deep into training models and all of that stuff. Really, the takeaway I hope you get from this talk is that adopting machine learning in your day-to-day work is really not as difficult as you might think. That you maybe come away from this talk able to go and start experimenting at a low cost with AI as a service. Because in a lot of cases, the ability to do machine learning or to run inferences is, these days, just an API call away. At fourTheorem, we do work in the serverless space, obviously, and we work in machine learning. My own particular area of research with regard to machine learning is, how do we apply machine learning to the process of software transformation? Although, as we heard, the monolith is not the enemy, but can that be treated as a big data problem? I'm not going to talk to you about that. Some sausages, some rashers, black pudding, eggs, wash it down with some coffee and some orange juice. I want to go to the shops. I want to buy myself that breakfast. It's going to cost me about £15, £16 to buy these. I'll probably get two breakfasts out of it as well, and I can reuse the coffee. Let's say that I wanted to DIY my own breakfast. I want to build it from scratch. What does that look like? It looks significantly more expensive.