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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.

Big Data is Big Business – The Driving Forces in Enterprise Technology

We here at insideBIGDATA follow business technology very closely, seemingly even in our sleep. So we were delighted when our friends over at Pyramid Analytics, a company that works to support their enterprise customers’ data and analytics strategies, reached out to us with several trends and developments taking place across the industry.

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.

insideBIGDATA Guide to Data Analytics in Government

The insideBIGDATA Guide to Data Analytics in Government provides an in-depth overview of the use of data analytics technology in the public
sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples, how the Internet-of-Things is taking a firm hold in helping government agencies collect and find insights in a broadening number of data sources, how government sponsored healthcare and life sciences are expanding, as well as how cybersecurity and data analytics are helping to secure government applications.

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.

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.

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).

“Above the Trend Line” – Your Industry Rumor Central for 2/20/2017

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.

Valentine’s Day Tip – Managing Your Relationship with Data

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!

The Difference between AI, Machine Learning and Deep Learning

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 second in a series of articles providing content extracted from the guide. The topic for this segment is the difference between AI, machine learning and deep learning.