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Victoria Livschitz

Victoria Livschitz

Victoria Livschitz founded Grid Dynamics in 2006 to bring new big ideas - cloud, open-source, DevOps and big data - to large enterprises. Under her leadership, Grid Dynamics became a successful, fast-growing engineering IT services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors.Victoria received numerous awards for engineering excellence, including Sun Systems Engineer of the Year and Ford Chairman’s Award, and holds several patents. Victoria graduated with a Bachelor of Science degree in Computer Science from Case Western Reserve University and attended graduate programs at Purdue University and Stanford University.

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Launch new digital services faster with distributed teams and agile co-creation delivery model
Article Launch new digital services faster with distributed teams and agile co-creation delivery model
The key to a high app rating? Low crash rates and a clean, modern UI
Article The key to a high app rating? Low crash rates and a clean, modern UI
Why Flutter should be your next mobile development framework
Article Why Flutter should be your next mobile development framework
Top business drivers of real-time analytics and machine learning in retail
Article Top business drivers of real-time analytics and machine learning in retail
Dear Oracle ATG users,
Article Dear Oracle ATG users, It is time to treat your ATG stack as a legacy system and move forward to the cloud, open source, and microservices
More details on building cloud-portable DevOps stack with Mesos and Marathon
Article More details on building cloud-portable DevOps stack with Mesos and Marathon
DevOps stack for In-Stream Processing Service using AWS, Docker, Mesos, Marathon, Ansible and Tonomi
Article DevOps stack for in-stream processing service using AWS, Docker, Mesos, Marathon, Ansible and Tonomi
Visualizing insights with an analytics dashboard
Article Visualizing insights with an analytics dashboard
Selecting, training, evaluating, and tuning the model
Article Selecting, training, evaluating, and tuning the model
Creating training and test data sets and preparing the data
Article Creating training and test data sets and preparing the data
Constructing a data dictionary for Twitter stream sentiment analysis of social movie reviews
Article Constructing a data dictionary for Twitter stream sentiment analysis of social movie reviews
Understanding the structure of the data in Twitter streams for sentiment analysis applications
Article Understanding the structure of the data in Twitter streams for sentiment analysis applications
The basics of data science with a sentiment analysis example
Article The basics of data science with a sentiment analysis example
From reference architecture to reference implementation: detailing the DevOps aspects of In-Stream Processing Service
Article From reference architecture to reference implementation: Detailing the DevOps aspects of in-stream processing service
Using CRISP-DM methodology for Twitter sentiment analysis
Article Using CRISP-DM methodology for Twitter sentiment analysis
Six design principles of Continuous Performance Testing
Article Six design principles of continuous performance testing
Advanced Solr/Lucene topics: high-performance nested search for e-commerce applications
Article Advanced Solr/Lucene topics: High-performance nested search for e-commerce applications
In-Stream Processing service blueprint
Article In-stream processing service blueprint
Overview of In-Stream Processing solutions on the market
Article Overview of in-stream processing solutions on the market
How In-Stream Processing works
Article How in-stream processing works
What is In-Stream Processing?
Article What is in-stream processing?

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