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…
Process manufacturing is susceptible to what is usually referred to as specification drift or spec drift. Whether the process uses extruders, chemical vats, or any other continuous process, control and…
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…
Every Autonomous System (AS) project built using the Microsoft Project Bonsai AI toolchain (or any other tool) will comprise the same core set of components. Whether the goal is to…
Neal Analytics takes an end-to-end lifecycle approach to Project Bonsai engagements. It’s a three-phase process that goes from pre-engagement to delivery and real-world trials, and finally to scaling. But first,…
With Industry 4.0 comes the promise of leapfrog in productivity, quality, and the overall return on your manufacturing investment. A key driver of those improvements is the large amount of…