Skip to main content
Toufic Boubez

Toufic Boubez
Chief Technology Officer, Metafor Software

Website | @tboubez

Toufic has been passionate about machine learning for over 20 years. Prior to Metafor, he was the founder and CTO of Layer 7 Technologies, a leader in API security and management and recently acquired by CA. Prior to Layer 7, Toufic was the founding CTO of Saffron Technology, a big data analytics company specializing in associative memory technology. Toufic is also a well-known SOA and Web Services pioneer and was Chief Architect for Web Services at IBM’s Software Group, where he founded the first SOA team and drove IBM’s early XML and Web Services strategies. He was the co-editor of the W3C WS-Policy specification, and the co-author of the OASIS WS-Trust, WS-SecureConversation, and WS-Federation submissions. He has also participated on the OASIS WS-Security, SAML and UDDI Technical Committees. He is the author of many publications, articles and several books, including “Building Web Services with Java”, and is one of the co-authors of the SOA Manifesto. Toufic holds a Master of Electrical Engineering degree from McGill University and a Ph.D. in Biomedical Engineering from Rutgers University.


Mission City Ballroom B4
Toufic Boubez (Metafor Software)
Average rating: ****.
(4.00, 20 ratings)
You’ve set up thousands of metrics collecting millions of data points. Now what? Analyzing this mountain of data is not easy so you keep an eye on just a small fraction of it, or you run some simple analytics that don’t get you much. But there are some basic statistical methods that anyone can implement and they can provide surprisingly valuable insights. In this talk, Toufic will show you some. Read more.
Office Hours
Table 1 (Exhibit Hall)
Toufic Boubez (Metafor Software)
Average rating: *****
(5.00, 1 rating)
If you have questions about the state of analytics in today’s cloud environment, bring them to Toufic. He’s also willing to talk to you about supervised vs unsupervised learning, parametric vs non-parametric techniques, detection vs alerting, and what does and doesn’t work (and why) in time series analytics for data center environments. Read more.