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insideBIGDATA Latest News – 12/5/2019

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

TOP 10 insideBIGDATA Articles for November 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Sniffing Out Errors

In this contributed article, Naomi Beckett, Senior Data Scientist at SparkBeyond, discusses the importantance of error analysis in predictive modeling and how to establish a method for determining when enough is enough.

How to Ensure Data Quality for AI

In this special guest feature, Wilson Pang, CTO of Appen, offers a few quality controls that organizations can implement to allow for the most accurate and consistent data annotation process possible. When we talk about quality training data, we’re talking about both the accuracy and consistency of those labels. Accuracy is how close a label is to the truth. Consistency is the degree to which multiple annotations on various training items agree with one another.

Getting Data Scientists to Live in an IT World

In this special guest feature, Dale Kim, Senior Director, Product Marketing at Hazelcast, discusses how data scientists are a bit unique in that they have technical skills and deal heavily with data yet are not necessarily tightly integrated with the rest of the IT team. Many do not consider themselves to be coders, and do not naturally embed themselves into the IT culture and the software development lifecycle.

TOP 10 insideBIGDATA Articles for October 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Julia: The Programming Language Of The Future

Keno Fischer, Julia Computing co-founder and CTO (Tools) discussed Julia and Julia Computing in a recent interview. Learn how he became interested in computer science and how Julia was created, and how a 16 year-old German exchange student became a 19 year-old co-founder of Julia Computing. Keno shares stories behind the creation of the popular […]

The Beginner’s Guide To Web Data Integration

In this contributed article, well-known tech journalist Luke Fitzpatrick believes that understanding web data integration is crucial in today’s environment because it gives business owners an opportunity to take advantage of the immense volume of data that’s available and gain key insights that would otherwise be impossible.

Chief Data Officer Survey and Research Results

Research undertaken by YouGov on behalf of analytics database provider Exasol finds that 72% of businesses worry that their inability to generate insights through the analysis of data will have a negative impact on financial performance. This is despite a similar number (77%) of respondents stating that data is now their organization’s most valuable asset. The findings of the research, combined with additional desk research and the views from a number of industry commentators, are brought together in Exasol’s new eBook.

Competition Uses AI to Combat Inequities in Early Childhood Education

Booz Allen Hamilton, Kaggle and PBS KIDS launched the fifth annual Data Science Bowl. This 90-day competition challenges thousands of data scientists and researchers from around the world to apply the power of artificial intelligence to combat inequities in early childhood education (ECE). More specifically, participants will create AI algorithms using anonymous gameplay data from the PBS KIDS Measure Up! App, which helps young children build math skills, to better understand children’s unique learning styles.