The answer to life, the universe, and everything: But can you get that into production? (sponsored by MapR)

Theres real value in big data and more waiting when you add real-time, but to get the payoff, you need successful deployments of your AI and data-intensive applications. You need to be ready with your current applications in production but must have an architecture and infrastructure that are ready for the next ones as well. Ted Dunning explores how others have fared in this journey.

There’s real value in big data and more waiting when you add real-time, but to get the payoff, you need successful deployments of your machine learning, AI, and data-intensive applications. You need to be ready with your current applications in production but must have an architecture and infrastructure that are ready for the next ones as well. Production has never been easy, and it’s even more challenging at large scale and distributed across data centers, but it’s being done and done well. Fortunately, new technologies for infrastructure and for data and application management have made it much easier to get systems into production. Ted Dunning explores how these new tools change how production systems can work and details the tools and techniques real teams are using to build real systems. This keynote is sponsored by MapR.