École Polytechnique de Montréal
Director of Engineering
Founder & CEO
University of South Carolina
Head of DevOps
Director, Head of Model, Library, and Tools Development for Corporate Model Risk
Chief AI Developer
Director of Developer Relations
Lead Machine Learning Engineer
Bank of New York Mellon
Director of Engineering & Applied Science
Senior Software Engineer
Music Information Retrieval Scientist
Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.
The adoption of machine learning is being used more & more to improve DevOps practices. Examples include: troubleshooting and triage analytics; preventing production failures; ensuring application delivery; managing production and alert storms.
Discover best practices when implementing ML tools to DevOps, including the preparation & monitoring phases, to ultimately deliver more value to your business through better automation, more efficient problem solving, reduced operational complexity, and increased collaboration.
A unique opportunity to interact with industry leaders, developers, data scientists, DevOps specialists & IT decision makers leading the ML revolution. Learn from & connect with 200+ industry innovators sharing best practices to implement machine learning into DevOps.