I recently caught up with Paulo Sampaio, Data Scientist at EDITED, to talk about applying machine learning, neural networks, natural language processing, and big data analytics to the retail industry. Paulo and his team are applying neural networks, machine learning and other models to analyze over 520 million products in real-time across 42 countries to make gradual distinctions in clothing styles, sizes and categories.
Are You Prepared for the Data Discovery Requirements to Meet EU’s New Costly GDPR Privacy Requirements?
In this contributed article, Stuart Tarmy and Aarthi Sivasankaran of ROKITT focuses on the global reach of GDPR. GDPR has impact on many other areas such as personal data scope, customer consents, disclosure, new rights, accountability, data protection organization, data security, 3rd party processing, etc.
The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the third in a series of articles providing content extracted from the guide. The topic for this segment is the intersection of artificial intelligence (AI) and high performance computing (HPC).
Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
In this contributed article, Smita Adhikary, Managing Consultant at Big Data Analytics Hires, provides a whirlwind overview of machine learning technology and why it’s important to increasing the value of enterprise data assets.
In this contributed article, Bobbie Kilberg, President and CEO of the Northern Virginia Technology Council (NVTC), discusses the misconception that tech is all about tech, and which areas employment prospects should be focusing on. More and more businesses and governments are capturing, analyzing and interpreting huge amounts of data to boost organizational performance, promote new discovery and understanding, enhance decision making, and tackle public policy and societal challenges.
In this contributed article, Arun Goyal, Founder at Octal Info Solution, discusses how big data is positioned to influence AI as a major disruption in the industry.
In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning for Artificial Intelligence. “Recently acquired by Hewlett Packard Enterprise, SGI is a trusted leader in technical computing with a focus on helping customers solve their most demanding business and technology challenges.”
Happy Valentine’s Day out to all our friends! Today is also known as the Feast of Saint Valentine, so we certainly can identify with the “feast” part as our beloved Big Data industry continues to feast on lovely data of all kinds – structured and unstructured. A number of our friends from the big data ecosystem reached out to us with their feelings for maintaining a healthy relationship valuable data assets. Enjoy!
In this contributed article, Mika Javanainen, Senior Director of Product Management at M-Files Corporation, highlights the virtue of employing metadata (little data), which is defined as “data about data” as part an enterprise big data strategy to garner more business value.