Finally, artificial intelligence and machine learning are moving past hype and into the tools you actually depend on to keep operations humming. And now that machine learning has arrived in SolarWinds products, we know you’ve got some questions – probably a lot of questions. Join SolarWinds Distinguished Engineer Karlo Zatylny and SolarWinds Head Geek™ Thomas LaRock, along with Microsoft Senior Cloud Advocate Anthony Bartolo, for an in-depth whiteboard discussion to strip away AI/ML hype and explain what machine learning really is. Learn how to use ML to solve real-world challenges, like simplifying monitoring and resolving issues faster.
Database Anomaly Detection Powered by Machine Learning
Anthony Bartolo, Senior Cloud Advocate, Microsoft
As a Sr. Cloud Advocate for Microsoft, Anthony takes great pride in architecting and conducting “science experiments” to incorporate Microsoft technology and services to address a customer problem or opportunity. Anthony accomplishes this by conducting hackathons with industry-leading organizations to test theories and create Proof of Concepts (PoC) using Microsoft cloud services. Some of the more interesting Proof of Concepts completed have included teaching drones to identify objects to aid in search and rescue efforts and automating research via Azure Functions to extract information from social media to aid law enforcement in finding children reported missing. Results and best practices of these and other projects are then shared openly with the community at large to help upskill everyone. Anthony regularly conducts conversations on Twitter @WirelessLife and regularly submits blog content to http://www.ITOpsTalk.com.
Thomas LaRock, Head Geek, SolarWinds
Thomas is a Microsoft Certified Master, 11-time Microsoft Data Platform MVP, VMware vExpert, and former Microsoft Certified Trainer. He has over 20 years’ experience in the IT industry as a programmer, developer, analyst, and database administrator.
Karlo Zatylny, Distinguished Engineer, SolarWinds
Karlo battles the continued needs of data science and architecture at SolarWinds. Throughout his 11 years at SolarWinds, Karlo has been able to help engineering teams deliver solutions and help customers succeed in their ever-changing IT environments. His last three years at SolarWinds have been focused on the delivery of machine learning-based solutions delivering immediate value. He enjoys realizing the theory of machine learning in deliverable features by bridging the gap between the worlds of data science research and engineering feature implementation.