Osano Unburdens Businesses by Automating CCPA Compliance

Austin, Texas-based software provider helps companies quickly and affordably gain compliance with minimal effort
Osano​, a company building the first platform for data privacy transparency, has automated the compliance process for the California Consumer Privacy Act (CCPA). A week into activation, the CCPA is already a notoriously contentious and dense set of laws.

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Six Trends Transforming Customer Experience in 2020

Customer behaviors and expectations evolve quickly. To differentiate themselves, companies have to continuously adapt their strategy. The need to provide outstanding customer service has never been greater than now – customers used more digital channels than ever before and expect seamless journeys through their transactions, even when switching between those channels.

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Cyber 5 2019 Recap: Top Stats & ROI Revolution Client Wins

Published December 6, 2019
 
 
As the weather turns colder and the holidays quickly approach, consumers are constantly on the lookout for that special deal for all of the items on their list. The holiday shopping season unofficially begins with Cyber Week (also known as Cyber 5), the colossal shopping holiday that begins on Thanksgiving and ends on Cyber Monday.

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Matillion Advances Speed And Simplicity Of Data Integration With Release Of Matillion Data Loader

Free SaaS solution enables every data professional to quickly and easily load data into the most popular cloud data warehouses
AWS re:Invent 2019 Booth #2804 – Matillion, a leading provider of data transformation software for cloud data warehouses (CDWs), announced Matillion Data Loader, a free Software-as-a-Service (SaaS) data integration solution that empowers data analytics professionals and

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Retail Business Services Debuts Frictionless Store

Technology Enables Shoppers to Quickly Scan, Shop & Go
Retail Business Services, the services company of Ahold Delhaize USA, has announced new frictionless store technology, piloted under the name lunchbox, which enables individuals to shop a small format store in seconds by scanning in, shopping and walking out. The technology is currently being tested in Retail Business Services’ Quincy, Mass.

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R Objects

R objects
To quickly recap, so far we’ve just worked with some single values to get to grips with how some of the various operations work. Of course, we rarely work with a single value! If we did, we could just use a calculator.
This instalment you’ll get to grips with some different ways of storing data and how to manipulate your datasets in the “traditional” way.

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Data architecture vs backend architecture

A modern tech stack typically involves at least a frontend and backend but relatively quickly also grows to include a data platform. This typically grows out of the need for ad-hoc analysis and reporting but possibly evolves into a whole oil refinery of cronjobs, dashboards, bulk data copying, and much more.

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Setting up Jupyter for Deep Learning on EC2

This post is a simple guide on setting up an EC2 server for deep learning as quickly as possible.
Launching an Instance
In EC2, select ‘Launch Instance’. Select your AMI, choose Deep Learning AMI (Ubuntu). You could use the Amazon Linux version, I just personally prefer Ubuntu.
For actual deep learning, you will want to select a p* instance, ideally a p3 instance.

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You can replicate almost any plot with R

Although R is great for quickly turning data into plots, it is not widely used for making publication ready figures. But, with enough tinkering you can make almost any plot in R. For examples check out the flowingdata blog or the Fundamentals of Data Visualization book.
Here I show five charts from the lay press that I use as examples in my data science courses.

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