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Amazon Go – Deep Learning Conquers Retail

“At the Amazon Go store, the checkout process is completely automated. Every time you take a product from a shelf, one of hundreds of small cameras located in the ceiling recognizes the item and places it in your virtual shopping cart. If you change your mind, no problem, you’re still being watched and the system will remove it from your cart once you put it back on the shelf. The deep learning technology is able to recognize every item in the store without any special tags like RFID chips.”

insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning

The insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning white paper explores how AI, machine learning and deep learning are transforming the retail industry in many positive directions including: inventory and supply chain management, analysis of customer buying patterns, analyzing traffic patterns, providing assortment planning, performing retail analytics at scale.
Fighting cyberfraud

The Drilling Rigs of the Big Data Age

In this contributed article, Navin Chaddha, Managing Director, at Mayfield, a top-tier Silicon Valley venture capital firm with $2.7 billion under management and a 48 year history of investing, outlines 5 big areas of opportunity as well as some trends that are creating the need for a new class of companies that will serve as the drilling rigs of the big data age.

Interview: Todd Wright, Senior Product Marketing Manager, Data Management at SAS

I recently caught up with Todd Wright, Senior Product Marketing Manager, Data Management at SAS, to discuss GDPR, the first update to the European privacy and protection laws in 23 years. According to Todd, GDPR is being taken very serious by regulators, to the point that they are considering data protection and privacy as a human rights issue. Data on minors, medical records, sexual orientation, race, age, and weight will be some of the top concerns, as they can all be considered areas that could form a bias towards an individual when processing data.

2018 Executive Round Up – Part 4

Welcome to insideBIGDATA’s annual Executive Round Up designed to give our readers a sense for what the upcoming year is going to look like with respective to our focus technologies: big data, data science, machine learning, AI and deep learning. Weighing in with their thought-leadership predictions are some of the industry’s biggest players. We’re honored to pass along these comments to our valued audience. In this article, final Part 4 of the series, we’ll examine what increasing role AI will play in digital transformation initiatives in 2018.

2018 Executive Round Up – Part 3

Welcome to insideBIGDATA’s annual Executive Round Up designed to give our readers a sense for what the upcoming year is going to look like with respective to our focus technologies: big data, data science, machine learning, AI and deep learning. Weighing in with their thought-leadership predictions are some of the industry’s biggest players. We’re honored to pass along these comments to our valued audience. In this article, Part 3 of the series, we’ll review the evolutionary process of digital transformation and how IDC is predicting that by 2020, 60% of all enterprises will have climbed aboard this bandwagon.

Commonsense Understanding: The Big Apple of Our AI

In this field report, contributor Howard Goldowsky provides a detailed report from two New York City AI Conferences with a focus on: Artificial General Intelligence Research Backs Away from Back-propagation to Leverage Logic, Physical and Social Models of the World.

2018 Executive Round Up – Part 2

Welcome to insideBIGDATA’s annual Executive Round Up designed to give our readers a sense for what the upcoming year is going to look like with respective to our focus technologies: big data, data science, machine learning, AI and deep learning. Weighing in with their thought-leadership predictions are some of the industry’s biggest players. We’re honored to pass along these comments to our valued audience. In this article, Part 2 of the series, we’ll take a look at the industries taking the lead in 2018 for adopting AI, machine learning, and deep learning.

2018 Executive Round Up – Part 1

Welcome to insideBIGDATA’s annual Executive Round Up designed to give our readers a sense for what the upcoming year is going to look like with respective to our focus technologies: big data, data science, machine learning, AI and deep learning. Weighing in with their thought-leadership predictions are some of the industry’s biggest players. We’re honored to pass along these comments to our valued audience. In this article, Part 1 of the series, we’ll take a look at how AI and machine learning will continue to make significant strides, and also turn the corner toward mainstream acceptance in the enterprise.

Big(ger) Data is Better

In this contributed article, Fiona McNeill, Global Product Marketing Manager at SAS, describes how Big Data is changing lives. “The data isn’t different than what organizations had before, albeit some new sources are now accessible to many. The challenge is that there is a lot more of it, and it’s incoming at a greater pace. The enormous amount of data can make it time-consuming to compute a calculation or pull a report. Big data requires more horsepower and optimized analytics computing.”