Title: Explicit knowledge modeling for AI-driven decision making
Abstract: Artificial Intelligence – be it data-driven or explicit AI – has the potential to revolutionize the way we work. A form of explicit AI, knowledge graphs deliver connected insights across functional or use case boundaries and drive knowledge democratization in the enterprise. Because they support the explicit modeling of knowledge traditionally hidden in complex processes, long documents, domain-specific applications, or domain experts’ minds, they are a great foundation for trustworthy and explainable business decisions and processes.
This tutorial will prepare participants that want to approach the metaphacts challenge. Participants will gain solid familiarity with the following topics, datasets, tools, and technology:
Prerequisites: Familiarity with database technology, Machine Learning.
Title: Machine Learning Use Cases with Azure Databricks
Abstract: “Databricks will present how to take advantage of the Azure Databricks platform to quickly and easily build simple and complex ML use cases. We will see how Databricks Notebooks and ML Flow can assist you with the development of Machine Learning models, whether you are training on large or small datasets.”
Title: “Introduction to Machine Learning and AI on Azure Cloud”
Abstract: A live demo and overview of different AI services in Microsoft Azure will be provided, with focus on those that can be used to work on the challenges. This also include how to get Azure Credits for MAKEathon.