The traditional AI training method is rarely applicable in real-life business use cases simply because it requires an amount of data seldom available to businesses. However, AI agents can also…

The traditional AI training method is rarely applicable in real-life business use cases simply because it requires an amount of data seldom available to businesses. However, AI agents can also…
A primary challenge for many manufacturers is maintaining quality while also running production fast enough to meet production targets. Achieving that balance requires constant production oversight from human inspectors. To…
There are multiple paths to solving business challenges using data. As the saying goes “for a hammer every problem looks like a nail”. This is also true for applying advanced…
AI agents create value through a variety of levers. Agents may increase quality, reduce costs, increase throughput, or do all the above and more. The value that an AI agent…
Recommender systems represent an important area of data science and can be a great source of value creation. Most of us are already familiar with recommendation engines through the product…
As discussed in previous articles, here and here in particular, Deep Reinforcement Learning (DRL) trained AI agents can help optimize manufacturing processes across different manufacturing challenges aspects. In addition…