Organizations and enterprises have discovered that having access to high-quality data helps improve overall business performance. The increasing emphasis on data has shed light on a longstanding divide between the worlds of operational technology (OT) and information technology (IT). [...]
While the Industrial Internet of Things has been a buzz-worthy phrase for the past few years, many in the industrial and manufacturing arenas still lack a deep knowledge of the foundations of digital transformation. This collection will help correct that. [...]
Data mining is transforming the face of factory automation. As factory automation is all about faster, smarter, and more efficient production, unlocking the vast, untapped potential of data on shop floors has been the driving force behind factory automation’s transformation [...]
A supervised learning algorithm takes a known set of input data (the training set) and known responses to the data (output), and trains a model to generate reasonable predictions for the response to new input data. Use supervised learning if [...]
With machine learning there’s rarely a straight line from start to finish—you’ll find yourself constantly iterating and trying different ideas and approaches. This chapter describes a systematic machine learning workflow, highlighting some key decision points along the way. [...]
Product quality, regulatory compliance and operational efficiencies top the long list of business priorities for pharmaceuticals executives, who lead the charge in improving manufacturing and supply chain performance. Investments in areas such as shop-floor automation, electronic batch records, ERP, and [...]