Author Archives: GilPress

About GilPress

I launched the Big Data conversation; writing, research, marketing services; https://whatsthebigdata.com/ & http://infostory.com/

AI by the Numbers: Amazon, Mastercard Quantify Business Impact of AI

Posted on November 15, 2019

When Amazon switched from traditional machine learning techniques to deep learning in 2015, it saw a 15-fold increase in the accuracy of its forecasts, a leap that has enabled it to roll-out its one-day Prime delivery guarantee to more and … Continue reading →

Posted in AI, AI Enterprise, Stats | Tagged , , | Leave a comment

China Leads in Highly Cited AI Papers

Posted on November 14, 2019

China AI Development Report 2018 (p. 20f.): Using the Web of Science database, this report puts China in the lead ahead of the US and any European country, both for the decade between 2007 and 2017 and in terms of annual output … Continue reading →

Posted in AI, China | Tagged | Leave a comment

How to Compete with Amazon

Posted on November 13, 2019

Data is eating the world and Amazon got it very early on. Twenty years ago, Jeff Bezos wrote in his letter to the shareholders of his $1.64 billion company: “We are doubly-blessed. We have a market-size unconstrained opportunity in an area where … Continue reading →

Posted in Amazon, Big Data Analytics, Retail | Tagged , | Leave a comment

2020 Predictions for the Internet of Things (IoT)

Posted on November 12, 2019

IDC 2020 predictions for the Internet of Things (IoT): In 2020, 90% of organizations will have determined key performance indicators to measure the success of their IoT projects. By 2021, 75% of organizations embarking on an IoT project will work … Continue reading →

Posted in Data growth, Internet of Things | Tagged , | Leave a comment

Logistic Regression in R: A Classification Technique to Predict Credit Card Default

Posted on November 11, 2019

Logistic regression is one of the statistical techniques in machine learning used to form prediction models. It is one of the most popular classification algorithms mostly used for binary classification problems (problems with two class values; however, some variants may … Continue reading →

Posted in Data Science, Data Science Careers, Data Science education | Tagged | 1 Comment

When Robots Will Overtake Humans

Posted on November 10, 2019

This is when #Robots will overtake humans by @wef#ArtificialIntelligence #innovation #AI Cc: @sallyeaves @SpirosMargaris @TopCyberNews @chboursin @kuriharan pic.twitter.com/q8Zrd3nrnW — Ronald van Loon @Microsoft #MSIgnite @Citrix booth (@Ronald_vanLoon) November 6, 2019 https://platform.twitter.com/widgets.jsv

Posted in AI, Robotics, robots | Leave a comment

AI by the Numbers: The Value of Augmented Intelligence

Posted on November 8, 2019

Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI highlighted the role of augmented intelligence, combining human intelligence with artificial intelligence to produce better results in cybersecurity defense and in getting more business value from the … Continue reading →

Posted in AI, AI Enterprise, cybersecurity, Internet of Things | Leave a comment