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Analytics Dispatch 7/8/2019

2019 data & AI landscape

UPS AND DOWNS
A Turbulent Year: The 2019 Data & AI Landscape
“In a world where data-driven automation becomes the rule (automated products, automated cars, automated enterprises), what is the new nature of work? How do we handle the social impact? How do we think about privacy, security, freedom?” - Matt Turck

LEAN ON ME
Data Helpers
Check out this list of data professionals who have volunteered to answer questions, promote, or mentor newcomers in data science, engineering, and analysis. - Angela Bassa

PLAY IT BY EAR
Learning to Traverse Latent Spaces for Musical Score Inpainting
This paper shows how to train a deep learning-based model to fill in missing or lost information in a piece of music. - Georgia Tech

PSYCH OUT
Practical Psychology for Data Scientists
How to recognize and sidestep eight common cognitive biases. - Towards Data Science

BETTER TOGETHER
Models and Microservices Should Be Running on the Same Continuous Delivery Stack
The deployment needs for models and services are strikingly similar, so why are so few companies actually using a unified model and service deployment stack? - Chris Riccomini

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