École Polytechnique de Montréal
Director of Engineering
Music Information Retrieval Scientist
Senior Software Engineer
Director of Engineering & Applied Science
Lead Machine Learning Engineer
Bank of New York Mellon
Director of Developer Relations
Chief AI Developer
Director, Head of Model, Library, and Tools Development for Corporate Model Risk
DevOps Solutions Manager
University of South Carolina
Founder & CEO
Since its release in 2014, Alexa has become increasingly sophisticated at understanding American English-speaking users. Alexa has gone on to expand to German and Japanese, as well as British, Canadian, Indian, and Australian dialects of English.Read More
Google released a tool called DeepVariant that uses deep learning to identify all the mutations that an individual inherits from their parents. Engineers at Google Brain and Verily (Alphabet’s life sciences spin-off) have taught one model to take raw sequencing data and line up the billions of As, Ts, Cs, and Gs that make you you.Read More
About a year ago I left Google to join Slack, and I hit the ground running. The team I joined was really excited about the platform we were planning to launch and things were super hectic. We were working with partners to implement bots, deliberating if developers will understand and buy into the concept of bots, and speaking at events to introduce this notion of the conversational office.Read More
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.