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TOP 10 insideBIGDATA Articles for February 2017

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.

Top Three Key Challenges to Make Data Analytics Work for You

In this contributed article, Ritesh Patil, Co-founder of Mobisoft Infotech provides a high-level view of data analytics by outlining 3 common challenges as well as 5 guiding steps to make effective use of it.

Are AI/Machine Learning/Deep Learning in Your Company’s Future?

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 fourth in a series of articles providing content extracted from the guide. The topic for this segment is the results of the recent “insideHPC insideBIGDATA AI/Deep Learning Survey 2016” underwritten by NVIDIA.

How the General Data Protection Regulation (GDPR) Expands Privacy Data Scope and Provides New Rights of Data Control to Customers

In this contributed article, Stuart Tarmy and Aarthi Sivasankaran of ROKITT focuses on how the General Data Protection Regulation (GDPR) expands privacy data scope and provides new rights of data control to customers. This is the second article in a series.

UMass Amherst Boosts Deep Learning Research with Powerful New GPU Cluster

With a new cluster of specialized graphics processing units (GPUs) now installed, the University of Massachusetts Amherst is poised to attract the nation’s next crop of top Ph.D. students and researchers in such fields as artificial intelligence, computer vision and natural language processing, says associate professor Erik Learned-Miller of the College of Information and Computer Sciences (CICS).

Interview: Emily Glassberg Sands, Data Science Manager at Coursera

I recently caught up with Emily Glassberg Sands, Data Science Manager at Coursera, to talk about applying machine learning, neural networks, natural language processing, and big data analytics to the retail industry. Emily leads an awesome team of data scientists and data science managers working on growth, discovery, the learning experience, and a new enterprise offering. The team’s job is to help build a better Coursera through data-driven decisions and products.

Data & The Chanel Effect

In this contributed article, Samuel Lim, CEO & Co-founder at Reebonz.com, discusses data’s role in opening up luxury to a broader market: aka The Chanel Effect.

Interview: Paulo Sampaio, Data Scientist at EDITED

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 Intersection of AI and HPC

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).