Newsletter | August 21 th 2018

How Netflix uses Big Data to drive success

Netflix has over 100 million subscribers and with that comes a wealth of data they can analyze to improve the user experience. Big data has helped Netflix massively in their mission to become the king of stream.
"insideBIGDATA"

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The World of Big Data

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Six reasons to think twice about your data lake strategy

Since data has been called the “oil” of the new economy, it’s easy to assume that more is better. You can never have too much oil!

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Data Warehouse or Data Lake? When to use each

Most businesses today are consolidating data from multiple sources into a single customizable platform for big data analytics.

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Career paths in Business Analytics

“Data Scientist: The Sexiest Job of the 21st Century” is one of the most popular HBR articles and has inspired tons of people to pursue their careers in the field of analytics.

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5 Ways to fuel your Big Data Analytics

Organizations must utilize their data in such a way that they can gain its maximum advantage. The knowledge of how this needs to be done is very essential for big data to thrive and deliver.

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AI & Machine Learning

How privacy-preserving techniques can lead to more robust machine learning models

In this episode of the Data Show, I spoke with Chang Liu, applied research scientist at Georgian Partners. In a previous post, I highlighted early tools for privacy-preserving analytics, both for improving decision-making and for enabling automation.

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How U.S. retail giant Kroger is using AI and Robots to prepare for the 4th industrial revolution

Kroger, one of America’s largest grocery chains, has decided to embrace technology to help it survive and thrive in the 4th industrial revolution. With 2,782 grocery stores under nearly two dozen names in 35 states.

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Ways to think about machine learning

We're now four or five years into the current explosion of machine learning, and pretty much everyone has heard of it. It's not just that startups are forming every day or that the big tech platform companies are rebuilding themselves around it.

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How to overcome the inertia that keeps businesses from deploying AI

Artificial intelligence (AI) isn't merely "important" to innovation and basic processes at the organization of the future, it's indispensable. To thrive in that future, businesses already are in early-stage explorations to transform into AI-driven workplaces.

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Education and Tutorials

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Toronto
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Aug 27 – 31, 2018 Learn More »
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Oct 8 – 12, 2018 Learn More »
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Austin
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January 2019 Learn More »
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