Four Ways Big Data Is Still Changing the Way We Do Business
In this contributed, Anthony Coggine, HR professional turned business analyst, points out that from the creation of more personalized marketing campaigns, to harnessing the power of social media, here are four of the major reasons that big data is changing the way we do business as we know it: [READ MORE...]
Recent Features
CASK Data Application Platform Moves Forward
In this video from the DataWorks Summit 2017 conference in San Jose (June 13-15, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with Nitin Motgi, Founder/CTO at CASK Data. [READ MORE...]
Book Review: Statistical Learning with Sparsity - The Lasso and Generalizations
As a data scientist, I have a handful of books that serve as important resources for my work in the field - "Statistical Learning with Sparsity - The Lasso and Generalizations" by Trevor Hastie, Robert Tibshirani, and Martin Wainwright is one of them. This book earned a prominent position on my desk for a number of reasons. [READ MORE...]
When Big Data Doesn't Work
The use of big data is no longer a strategy for advanced and technologically innovative companies to gain a competitive edge. It is a necessity for all businesses across all industries. Collecting data is not enough. Businesses need to understand how to translate their data into competitive strategies and advantages. In the infographic below, courtesy of our friends at Villanova University, you'll review the challenges of big data. [READ MORE...]
Featured Resource
insideBIGDATA Guide to Artificial Intelligence & Deep Learning
In this guide we explain the difference between AI, machine learning and deep learning, and include highlights of the insideBIGDATA audience survey. To learn more about AI and deep learning download this guide.
Industry Perspectives
The Hardest Part of Analytics Isn't Analysis. It's Data
In this special guest feature, Matin Movassate, CEO and cofounder of Heap, suggests that as data scientists and business leaders alike fixate on the great potential of technologies like machine learning and AI, we risk losing sight of what’s most important: the data itself. After all, fancy visualizations and predictive analytics don’t matter without the right data powering them. [Read More...]
A New Weapon in the Fight Against Opioid Addiction: Behavioral Analytics
In this special guest feature, David Hom, Chief Evangelist at SCIO Health Analytics®, supports his belief that sophisticated behavioral analytics is the key to uncovering patients who are likely to be or become addicted to prescription opioids. [Read More...]
Featured from insideHPC
- Dell Builds Bracewell Supercomputer for Bionic Vision Research at CSIRO in AustraliaToday CSIRO, Australia’s top science agency, announced deployment of a new Dell EMC supercomputer, kicking off a new generation of research in artificial intelligence. "This new system will provide greater scale and processing power we need to build our computer vision systems by optimization of processing over broader scenarios, represented by much larger sets of […]
News from insideHPC
- Agenda Posted: Hot Interconnects Conference in Santa Clara
- Supercomputing the Signature of Chaos in Ultracold Reactions
- Lenovo Gains Momentum in HPC at ISC 2017
- Panel Discussion: Sustainable Software Development in Computational Sciences
- Brazil-Based AMT to Resell Bright Computing Software
- Agenda Posted for September HPC User Forum in Milwaukee
- ANSYS Scales to 200K Cores on Shaheen II Supercomputer
Editor’s Choice
The Difference Between Data Science and Data Analytics
In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business. [Read More...]
Interview: Anusua Trivedi, Data Scientist on Microsoft's Advanced Data Science & Strategic Initiatives Team
In this podcast interview, I caught up with Anusua Trivedi, a Data Scientist on Microsoft’s ADS team, to get her take on the upward trajectory of AI and deep learning that we're seeing in the industry today. [Read More...]
Pulling Real ROI from a Sea of Big Data Analytics
In this special guest feature, Jessica Hawthorne-Castro, CEO of Hawthorne Direct, provides some strategic best practices for marketers that want to extract ROI from big data in order to improve the customer experience and generate sales. [Read More...]
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. [Read More...]
Big Data Industry Predictions for 2017
Wow! What a year 2016 has been. The big data industry has significant inertia moving into 2017. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an exciting ride. Enjoy! [Read More...]
