Practical Human-in-the-Loop Machine Learning

The need to start thinking about an “AI Ecosystem” not as a “Collection of Models” but as a “System of Models” that feed into each other. Tie this to problems in EdTech, Fleet Management, Driverless cars, and Enterprise applications.

Linked Data and the Semantic Web have come a long way in helping to achieve a world that is more understandable to computers, but unstructured data can still be especially challenging when trying to extract concepts and metadata into standardized concepts. In this presentation, you will learn about the background of Linked Data (JSON-LD in particular) and how natural language processing can be used to help take advantage of this increasingly important effort. From more easily enhancing the SEO of a website, to making your application more interoperable, natural language processing can make your projects better understood by humans and machines alike.

AIOps has the promise to create hyper-efficiency within DevOps teams as they struggle with the diversity, complexity, and rate of change across the entire stack. DevOps teams working with big data face unique challenges due to the complexity and diversity of the components that comprise the big data stack. At the same time, AIOps is maturing to the point of creating true efficiencies among these DevOps teams as they struggle against the diversity, complexity, dynamic behavior and rate of change across the entire stack.

If you’re asking yourself the following questions when it comes to optimally running your MySQL or MariaDB databases: How do I tune them to make best use of the hardware? How do I optimize the Operating System? How do I best configure MySQL or MariaDB for a specific database workload? We discuss some of the settings that are most often tweaked and which can bring you significant improvement in the performance of your MySQL or MariaDB database. We also cover some of the variables which are frequently modified even though they should not.