Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Ran Taig

Ran Taig
Data Scientist, Dell

Ran Taig is a senior data scientist at Dell, responsible for both the business and the scientific aspects of the data science lifecycle. A machine learning practitioner with a strong academic background, Ran is also an experienced lecturer who has delivered core CS courses to undergrads at Ben-Gurion University. He is fluent in the common data science toolbox (Python, pandas, SQL, Spark, etc.). Ran holds a PhD in artificial intelligence.

Sessions

16:35–17:15 Wednesday, 23 May 2018
Improving DevOps and QA efficiency using machine learning and NLP methods
Data engineering and architecture, Data-driven business management, Streaming systems and real-time applications
 Location: S11B Level: Intermediate
Secondary topics:  Text and Language processing and analysis
Ran Taig (Dell), Omer Sagi (Dell)
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DevOps and QA engineers spend a significant amount of time investigating reoccurring issues. These issues are often represented by large configuration and log files, so the process of investigating whether two issues are duplicates can be a very tedious task. Ran Taig and Omer Sagi outline a solution that leverages NLP and machine learning algorithms to automatically identify duplicate issues. Read more.