White Paper - Overcoming key challenges in ML for R&D to accelerate innovation
This white paper provides an overview of the Alchemite™ technology. What motivates businesses to apply it? Which key machine learning challenges does it overcome, and how? And what are the resulting benefits?
Executive Summary
An 80 percent reduction in experimental effort. $millions saved in R&D costs. Getting a product to market six months earlier. Avoiding problems in scale-up of manufacturing processes. Dramatically lowering energy and resource usage or responding quickly to new regulations. These are all proven benefits of machine learning (ML) technologies applied to R&D in sectors such as chemicals, materials, FMCG, and life sciences. But, too often, these benefits are not realised – either because of constraints imposed by the available data or because of implementation challenges. In this white paper, we introduce the Alchemite™ machine learning method and software, discuss how it solves these problems, and provide examples of its success in accelerating innovation.
