Discover how Machine Learning can be implemented into and benefit DevOps practices at the Machine Learning for DevOps Summit in Houston 2018.
The summit will explore how an organisation that has adopted DevOps principles to create, release and monitor software, can benefit from augmenting their tool chain with the power of Machine Learning.
A cross-industry mix of enterprise leaders, developers, DevOps specialists and startups will be brought together to discuss this evolution in software delivery; on how machine learning can benefit DevOps practices and enhance development operations through increasingly efficient data analysis accurate extraction of actionable insights from data sets.
Further applications of Machine Learning for DevOps that will be explored at the summit include; using algorithms to detect anomalies in development cycles, monitoring production in real-time and the ability to perform root cause analysis.
Similar to other events, this is a dual track summit, therefore, alongside the ML for DevOps track, there is also an Applied AI track. The aforementioned track includes real-world applications of AI and Machine Learning as well their current and potential impact on business and society at the Applied AI Summit.
Hear from leaders in enterprise, as well as influential technologists, data scientists and transformation leaders providing a unique opportunity to uncover the best strategies, tools and methods for investing in AI as well as the potential for real-world application. Discussions at the Applied AI Summit will include applications across various industries such as transportation, manufacturing, retail, finance, logistics, healthcare, & cybersecurity. Attendees will have the opportunity not only hear the latest impacts of machine learning but network with experts in enterprise and business whilst broadening their knowledge and assessing their position in the field.
The summit will also focus upon how these applications are solving problems in business and society, the longer-term challenges of AI in the future but also ultimately the opportunities that AI will create.
