3 Ways to Move Your Data Science Projects into Production

Secure and Scalable Data Science Deployment with Anaconda
Traditional data science project deployments involve lengthy and complex processes to deliver secure and scalable applications in enterprise environments. As a result, data scientists must spend a nontrivial amount of time setting up, configuring and maintaining deployment infrastructure.
Why take valuable time away from data exploration and analysis workflows when Anaconda can do that for you?
We are here to help—with Anaconda, you can easily productionize your data science projects and applications, and choose the deployment method to use. In this live webinar, Christine and Kris will demonstrate how Anaconda empowers data scientists to encapsulate and deploy their data science projects as live applications with a single click.

They will show you how to:
  • Decide the right deployment strategy for you and your team
  • Encapsulate data science projects with Anaconda Project
  • Deploy Self-Service Notebooks, Interactive Applications (e.g. Bokeh), Dashboards and Machine Learning Models with REST API using Anaconda Enterprise

Meet Our Speakers

  • Christine Doig was a Senior Data Scientist at Anaconda, where she worked on MEMEX, a DARPA-funded project helping stop human trafficking. She is the co-author of Breaking Data Science Open, published by O'Reilly. She has 5+ years of experience in analytics, operations research, and machine learning in a variety of industries, including energy, manufacturing, and banking. Christine holds an MS in Industrial Engineering from the Polytechnic University of Catalonia in Barcelona. She is an open source advocate and has spoken at PyData, EuroPython, SciPy, PyCon and many other conferences.
  • Kris Overhold is a Senior Product Manager at Anaconda, developing the cluster management features of Anaconda. He has 10+ years of experience in scientific computing, systems administration, computational modeling and more. Kris holds a Ph.D. in Civil Engineering from the University of Texas and a Master’s degree from Worcester Polytechnic Institute, focusing on computational fluid dynamics.
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