Apps - OPERAI

OperAI develops edge-to-cloud complex models and AI-based applications involving the edges, the fog and the cloud, to better leverage big data, machine learning and artificial intelligence.

"The greatest potential for creating value will be in operations optimization—making the various processes within the factory more efficient. Overall, IoT applications in operations optimization have the potential to create value of $633 billion to $1.8 trillion per year in the factory setting in 2025.”

The Internet of Things: Mapping the Value Beyond the Hype - McKinsey & Company

Applications using end-to-end machine learning platforms and deep learning frameworks

Machine Learning (ML), which is a subset of Artificial intelligence (AI), enhances the ability of a computer to learn, from data, without being explicitly programmed end-to-end. As ML and AI learn they acquire the ability to carry out cognitive functions, such as perceiving, learning, reasoning and automatically digging deeper to identify important insights or new novel discovery. With the advance in machine learning, in particular its Deep Learning (DL) subset, ML is rapidly spreading across sectors and will continue to do so at an even higher rate with the ever increasing growth of Big Data.

This ML book, by OperAI, contains walkthrough examples with codes that are available at GitHub.