Creating a Data-Based and Client-Focused Culture
In the world of social media, increasingly quick-moving communication amid rapidly growing data, a company’s culture defines its reputation, and its reputation often defines its success – or failure. Clarity Insights shares how companies can create a data-based and client-focused culture from the top down. [READ MORE...]
Recent Features
Want to Run Cassandra in a Container? You Need to Solve These 4 Problems First
In this contributed article, Gou Rao, Co-founder and CTO at Portworx, discusses how running the open source distributed NoSQL database Cassandra in a container requires some special considerations. If you can solve these problems, you’ll have gotten most of the way to a successful Cassandra deployment in containers. [READ MORE...]
Go for Big Data
Many of the hottest modern infrastructure projects are powered by the Go programming language, including Kubernetes, Docker, Consul, etcd, and many more. Go is turning into a go to language for devops, web servers, and microservices. One route to providing robust, performant, and scalable data processing within Go is to utilize the Intel® Data Analytics Acceleration Library (Intel® DAAL) within Go programs. [READ MORE...]
Introducing Flo - Bringing Deep Learning to Video Editing
Everyone loves to shoot videos but don’t know what to do with them. Editing videos is difficult, time consuming and a skillful job. NexGear Technology has built Flo - an intelligent camera and movie maker app that auto-edits raw video footage into short cinematic movies using deep learning and artificial intelligence. Flo combines machine learning, computer vision, and natural language processing to put together the interesting moments from your videos into a short cinematic movie. [READ MORE...]
Featured Resource
Making Machine Learning Simple
For enterprises who need to jump start into machine learning, Databricks provides the performance, reliability, and ease of use to tackle machine learning with big data. With Databricks, teams will be able to focus on solving hard machine learning problems instead of supporting infrastructure. To learn more on making machine learning simple download this white paper.
Industry Perspectives
The Future of Federal Agency Data Access, Integration, Sharing and Security
In this special guest feature, Gavin Robertson, CTO and SVP of WhamTech, discusses the future technology of data federation and protection within federal agencies. These new technologies could have a profound positive impact on the effectiveness and efficiency of future government programs. The benefits will be significant, including cost savings, accelerated implementations, improved and new capabilities, leveraged existing IT investments, improved data security, flexible future options and increased stakeholder satisfaction. [Read More...]
Total Commerce Success in Retail Hinges on How Agile you are with Your Data
In this special guest feature, Silvia Lacayo, Product Marketing, Retail and Consumer Brands for 1010data, makes the point that for success in total commerce, being able to test and learn quickly is key. What that requires in practice is a fast and flexible technology solution in the hands of the business users who will directly benefit. Large volumes of data are not going away, creating an onus on retailers to empower their workforce so they can access and manage data directly and flexibly. [Read More...]
Featured from insideHPC
- NASA’s Develops SAFEGUARD Safety Net Technology for DronesFlying drone aircraft are no longer rare sightings these day. In fact, their may be one above you somewhere taking pictures at this very moment. This begs the question: how do we keep our skies safe? "Scientists at NASA Langley Research Center have developed a breakthrough technology called Safeguard that can alleviate hazards with unmanned […]
News from insideHPC
- NASA’s Develops SAFEGUARD Safety Net Technology for Drones
- Simply Beautiful: MareNorstum4 Supercomputer Sports 13.7 Petaflops
- Deep Learning Frameworks Get a Performance Benefit from Intel MKL Matrix-Matrix Multiplication
- Inspur Unveils GX4 Ai Accelerator
- Intel’s Trish Damkroger on why HPC Matters at ISC 2017
- How Intel is bringing AI & Machine Learning to the People
- Cavium’s ThunderX2 Processors coming to Penguin Computing Tundra OCP Platform
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...]
