Data Curation
May 9, 2018

GDPR and Data Platforms

The report from the House of Lords Select Committee on Artificial Intelligence is 183 pages…
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Democratizing AI
April 10, 2018

Democratizing AI – Build versus Buy for AIML is not Hobson’s Choice

The Internet was revolutionized by a book store named Amazon and search engines du jour.…
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Data OpsData Science
December 12, 2016

Achieving Interoperability and Semantic Data Integration in Our Time

A lot of the time spent in preparing data for analysis is not spent on…
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Data Ops
November 21, 2016

Healthcare Data Security, Privacy, Licensing And Compliance

Why is data licensing so, so hard? As a data consumer, I want to easily…
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Data Science
November 14, 2016

A Data Quality Maturity Model: 5 Levels of Data Readiness for Analytics

A key requirement of producing data that is ready for analysis is that the data…
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Data Ops
October 10, 2016

10,000 Followers in Less Than 6 Months & Get Your FREE Datasets for your “Hack For Healthcare Project”

It's because of you and many other inspiring individuals that we were able to hit…
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Big DataData OpsData Science
September 26, 2016

Data Engineering Aspects of Delivering Turnkey Data

The data scientist’s point of view on Turnkey Data When you start an analytics project…
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Data Evolution
Big Data HealthcareData Ops
August 29, 2016

Data Evolution: Tips on Keeping Reusable Data Up to Date

Having the most fresh, up to date data at your fingerprints makes analysis more relevant…
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Apache Parquet
Big DataData Ops
July 31, 2016

Curated Data in Apache Parquet Format – For Blazing Fast Big Data Analytics on Hadoop & Spark

Here at John Snow Labs, we are delighted to announce that all datasets are now…
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data ops for data science
Big DataData Ops
July 11, 2016

The Librarian, the Scientist, the Alchemist & the Engineer: Anatomy of a DataOps Expert

Your DataOps team is the one making sure your data scientists do not spend 50-80%…
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