Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Alkis Simitsis

Alkis Simitsis
Chief Scientist, Cybersecurity Analytics, Micro Focus

Alkis Simitsis is a chief scientist for cybersecurity analytics at Micro Focus. Alkis has more than 15 years of experience building innovative information and data management solutions in areas like real-time business intelligence, security, massively parallel processing, systems optimization, data warehousing, graph processing, and web services. He holds 26 US patents and has filed over 50 patent applications in the US and worldwide. He’s published more than 100 papers in refereed international journals and conferences (top publications cited 5,000+ times) and frequently serves in various roles in program committees of top-tier international scientific conferences. He’s also an IEEE senior member and a member of the ACM.

Sessions

16:35–17:15 Wednesday, 1 May 2019
A Magic 8 Ball for optimal cost and resource allocation for the big data stack
Data Science, Machine Learning & AI
 Location: Capital Suite 15/16
Secondary topics:  Automation in data science and big data, Temporal data and time-series
Shivnath Babu (Unravel Data Systems | Duke University), Alkis Simitsis (Micro Focus)
Average rating: *****
(5.00, 1 rating)
Cost and resource provisioning are critical components of the big data stack. Shivnath Babu and Alkis Simitsis detail how to build a Magic 8 Ball for the big data stack—a decomposable time series model for optimal cost and resource allocation that offers enterprises a glimpse into their future needs and enables effective and cost-efficient project and operational planning. Read more.