Together with our clients, we are creating five webinar series with a specific industry to showcase different applications of machine learning, computer vision and natural language processing.
Nickisch, H., Solin, A., Grigorevskiy, A., 2018. State Space Gaussian Processes with Non-Gaussian Likelihood.
Parviainen, P., Kaski, S., 2017. Learning structures of Bayesian networks for variable groups.
Remes, S., Heinonen, M., Kaski, S., 2017. Non-Stationary Spectral Kernels.
AI is becoming the de-facto technology that will augment all human driven operations in the near future. Today, the main source of AI-driven competitive advantage is by bringing an AI to work in human processes, and increasing every human operator’s efficiency by offloading low value yielding tasks to its learning automation. In this report Silo.AI will present an overview of AI’s impact to recruitment in large scale.
The world of retail has been among the first to see AI- driven change take place in the everyday life of the consumer. Companies like Amazon and Alibaba have paved the way for changes in both the digital and the physical world. Not surprisingly, they are also considered to be among the frontrunners of Artificial Intelligence (AI). The first step into AI-driven transformation, however, is not to radically alter our shopping experiences with new digital pathways but to augment pre-existing ways of doing work with elevated levels of automation. This white paper is intended to outline how AI-augmented business produces measurable business benefit in both the digital and the physical world.
Artificial intelligence and machine learning can complement and co-exist with the existing analytics methods based on rules, optimisation, simulation and statistical analysis. However, it is crucial to understand where and when it makes sense to implement AI solutions, and when it is better to use traditional analytics. After reading the white paper, you will understand:
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