Machine Learning for DevOps: What's all the fuss about?

The potential for Machine Learning to make DevOps faster, better and smarter has been hotly contested as one of the main areas to watch in the future of technology for 2018 and beyond. The rise in enterprises, of all sizes, adopting DevOps methodologies has risen in parallel to the prevalence and accessibility of Machine Learning, therefore it only logical that there has been a trend towards considering how these two areas can collide to produce successful outcomes in the endeavour to further streamline workflows. On 29 - 30 November, RE•WORK is hosting the Machine Learning for DevOps Summit in Houston, Texas, to bring together influential industry experts, disruptive startups and leading researchers to discover how to optimize DevOps and enhance automation capabilities with Machine Learning. The summit will be an opportunity to learn the best practices for implementing Machine Learning tools in DevOps to ultimately deliver more value to your business and achieve better automation through more efficient problem solving reduced operational complexity, and increased collaboration. In the run-up to the summit, we want to keep you informed on the up-to-date news surrounding Machine Learning, it's latest effects on DevOps methodologies, and why organizations should waste no time in exploring how Machine Learning can benefit their DevOps strategy.