AI & ML Use Cases: Learn What Nielsen & Others Have Built with Machine Learning
Artificial Intelligence and Machine Learning is all around us! From recommendation engines that serve up Internet ads to fraud checking as we process digital payments, it is all using AI and ML.
However, not all machine learning/artificial intelligence is the same- some ML/AI is built using offline models whereas others are built with real-time infrastructure. The more data that you can feed your AI/ML-powered applications, the better they will perform.
In this action-packed session you will learn from Brian Bulkowsi, founder of Aerospike, what and how Nielsen and others innovators have built in order to power their AI and ML applications, along with other exciting use cases.
Brian is a Founder and the CTO of Aerospike. With almost 30 years in Silicon Valley, his motivation for starting Aerospike was the confluence of what he observed, that the rapidly advancing flash storage technologies with lower costs were not being fully leveraged by database systems, along with the apparent scaling limitations of sharded MySQL systems, have led to identifying the need for a new distributed database.
These needs became clear during Brian's prior roles as both a Lead Engineer at Novell and Chief Architect at Cable Solutions at Liberate, where he built a high-performance, embedded networking stack and high scale broadcast server infrastructure.