With robotics process automation, Switzerland's largest insurer has already digitized 48 app flows, while reducing some of its operational costs by 51%.
This blog post highlights the challenges faced by data scientists at each step of the deep learning process, as well as overviews tools to resolve them.
A recent meetup covered the evolution of AI, what is being done now, as well as pitfalls and success stories of using natural language processing for chatbots.
This cheat sheet overviews use cases of applying deep and machine learning to improve operations and automate processes in manufacturing, finance, healthcare, retail, advertising, and other industries.
