Areas ranging from optical inspection of products and devices to ensuring safety in dynamic workspaces and construction sites can greatly benefit from rapidly advancing AI.However, creating effective visual AI solutions for these tasks brings its own challenges. Let’s explore five key ones.
Data drifts and shifts can harass your ML model’s performance. Learn how to recognize, detect, and tackle them effectively
Working on machine learning is about doing experiments that usually fail and hard working on data, architecture, and hyperparameters to get satisfying results. However, the road to a working solution is full of pitfalls. Therefore, I have collected for you seven AI risks to monitor when working on an AI solution.
Do you want to create an AI solution, but don’t know how to start?
Starting AI research might be tricky, and you should avoid many pitfalls in the initial development phase.
I have prepared a short list of 5 tips to help you start working with machine learning and guide you through the research process.
Custom solution or off-the-shelf product? What to choose and when if you want to adopt AI in your organisation? It is the dilemma more, and more companies are facing. So let’s see what to consider when making a choice.