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The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
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Jupyter trends in 2018

Paco Nathan (derwen.ai)
9:10am–9:20am Thursday, August 23, 2018
Location: Grand Ballroom
Average rating: ****.
(4.67, 3 ratings)

A few somewhat-unexpected things emerged in 2018:

  • Large organizations began adopting Jupyter for analytics infrastructure, in a “leap frog” effect over commercial offerings. Many people hired out of universities already know how to write ML apps in Jupyter – and those without coding backgrounds can learn rapidly via Jupyter; why spend money re-training people to use proprietary frameworks which are less effective?
  • An emerging trend of of hardware > software > process disrupts the past 15–20 years of software engineering practice. Jupyter helps “future proof” efforts during this chaos/evolution – and that dovetails quite well with cloud services.
  • As organizations in enterprise, government, and universities roll out interactive computing at scale, organizational challenges arise: practices regarding collaboration, data privacy, ethics, security, compliance, etc. Jupyter addresses critical needs – which FAMGA hadn’t addressed – and these become particularly important in highly regulated environments.
Photo of Paco Nathan

Paco Nathan

derwen.ai

Paco Nathan is known as a “player/coach” with core expertise in data science, natural language processing, machine learning, and cloud computing. He has 35+ years of experience in the tech industry, at companies ranging from Bell Labs to early-stage startups. His recent roles include director of the Learning Group at O’Reilly Media and director of community evangelism at Databricks and Apache Spark. Paco is the co-chair of Rev conference and an advisor for Amplify Partners, Deep Learning Analytics, Recognai, and Primer. He was named one of the top 30 people in big data and analytics in 2015 by Innovation Enterprise.