27-29 November, Vilnius
Conference about Big Data, High Load, Data Science, Machine Learning & AI
Early Bird Ends In:
IT Solutions Architect at Cognizant, where he leads a Big Data team and enables a paradigm shift in how companies use data. Passionate about Cloud transformation, Python and GTD (Getting Things Done).
Making Data Scientists Productive in Azure
Doing data science today is far more difficult that it will be in the next 5-10 years. Sharing, collaborating on data science workflows in painful, pushing models into production is challenging.
Let’s explore what Azure provides to ease Data Scientists’ pains. What tools and services can we choose based on a problem definition, skillset or infrastructure requirements?
In this talk, you will learn about Azure Machine Learning Studio, Azure Databricks, Data Science Virtual Machines and Cognitive Services, with all the perks and limitations.