Gartner Catalyst Conference 2019 16 - 17 September / London, UK

The day has come. One where physical meets digital and digital is an augmented reality. Intelligent infrastructure， applications， and augmented analytics are now everywhere and must be securely connected. Technical professionals must rethink IT and architect the connected intelligence era.

Organizations struggle to use data effectively and efficiently to support machine learning and advanced analytics initiatives due to growing diversity in data projects. This session guides technical professionals on developing a data strategy to support successful machine learning deployments and answers the following questions: How to manage data when developing ML applications; What roles support the execution of the data strategy; How to support ML projects that that is democratized through APIs, AutoML, open-source frameworks and cloud services.

Human-in-the-loop crowdsourcing involves the integration of pools of human workers into the AI and ML process to improve data quality and algorithm training. In this workshop learn step-by-step how to integrate a crowdsourcing process into your machine learning efforts, using computer vision tasks as the primary example but with design principles and best practices that apply to a range of tasks.

*Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.