A gender-based wage gap is persistently setting women and people of color back in the technology industry. While diversity and inclusion have made revolutionary strides for white women, the picture is still dismal for women of color — for every dollar a man makes, a black woman makes 61 cents, while a white woman makes […]
Intel to publicly share its gender and race pay gap data by the end of 2019 Read More »
Welcome to episode 40 of AI in Action, the podcast that breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives. Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent
Fionnan Alt, Head of Data Science & Analytics at CurrencyFair Read More »
Truth in measurement has never been more important than it is today. Therefore, truth is our only agenda. But arriving at that truth has never been more complicated. While many view big data as a panacea for measurement in a digitally rich world, we know it’s not that simple. Nielsen’s panels have been the foundation of
Artificial Intelligence is the Link Between Big Data and Persons-Level Measurement Read More »
CHICAGO — Colleges are increasingly using Big Data to monitor students, control their access to information and set them on learning paths they may not have chosen, argues Chris Gilliard, a professor at Macomb Community College, who says the practices add up to “digital redlining.” “I don’t think education is a predictive task,” said Gilliard,
Google has announced that it will soon stop allowing third-party pixels on YouTube in favor of its Ads Data Hub. Source link
Anomaly detection of time series can be solved in multiple ways. One of the methods is using deep learning-based autoencoder models utilizing encoder-decoder architecture. Before we deep-dive into the methodology in detail, here we are discussing the high-level flow of anomaly detection of time series using autoencoder models Pre-process the data to create an input
Anomaly detection on time series data with robust deep autoencoders Read More »
Thursday 17 October 2019, 9:30 am Editor’s Note: There has been a lot of discussions online in recent weeks about an article in Nature that argued for eliminating the use of statistical significance. Needless to say, while some of the online discussion was sympathetic to the authors, it also aroused vehement disagreement among many. My friend
The Uses and Abuses of Stat Testing Marketing Data Read More »
The clouds of privacy constantly loom over social media apps. Therefore, in order to make the user environment more secure, the photo-sharing giant has adopted a series of measures. Instagram has introduced a new feature that will allow you, the users, to manage various data being shared by third-party apps. All this could be carried
How to Control Instagram Data Shared with 3rd-party Apps Read More »
Monday 14 October 2019, 7:00 am “Declared data” is a hot topic in today’s marketing circles, but what does it actually mean? And why is it being proclaimed as the future for people-based marketing and customer experience (CX)? Declared data is information that has been explicitly shared by a consumer in an informed and consenting
Why Declared Data is the Future for Marketers and CX Executives Read More »
March 15, 2019 Mobile-First Indexing is really Entity-First Indexing: Organizing Google’s index of information around the Knowledge Graph. The obvious increase in Knowledge Graph-style assets in the mobile search results, which we are calling ‘Hosted Inclusions’ and ‘Fraggles’ are taking clicks away from traditional organic search results and keeping the user in the Google SERP
Webinar: Mobile-First Indexing & The Story Your Data Isn’t Telling You Read More »
