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What You Need to Do to Have a Career in Big Data

In this contributed article, freelance human Avery Phillips offers a number of important tips in firming up a career in big data. As technology continues to expand, employment potential in big data is expected to explode even further over the next five years, and there will be a huge deficit of qualified applicants. Now is the time to break into this multi-billion dollar industry where you could land the job of your dreams.

Finding a solution for AI in Healthcare

Dell EMC Ready Solutions for AI are integrated systems with validated hardware and software stacks optimized to accelerate AI initiatives, shortening the time to architect a new solution by six to twelve months. A new insideBIGDATA special report series explores the intersection of AI and medicine, and this entry provides a series of solutions for AI in healthcare, including Dell EMC Ready Solutions for AI.

Better, Faster Graph Processing

A team from MIT CSAIL has developed a new programming language for graph processing that could help. Dubbed “GraphIt,” the new domain-specific language has been shown to outperform existing frameworks by a factor of nearly 5x while also reducing the lines of code by almost an entire order of magnitude.

AI in Medicine: Developments in Radiology, Genomics & Diagnostics

Next-generation radiology tools may remove the need for tissue sampling and greatly expand the area of delivery. And the translational Genomics Research Institute’s (TGen) Center for Rare Childhood Disorders is using machine learning for genetic sequencing. Part of an insideBIGDATA special report series on AI and healthcare, this entry highlights some of the latest developments in AI in medicine, including progress in radiology, genomics and diagnostics.

Big Data Made Simple

The animation below from our friends over at WHISHWORKS explains in simple terms what is Big Data and when it’s time for a company to consider moving to a Big Data environment.

Interview: Rafael Irizarry, Professor of Biostatistics at Harvard University

I recently caught up with Rafael (Rafa) Irizarry, Professor of Biostatistics with the T.H. Chan School of Public Health at Harvard University to hear his unique perspective as an edX instructor regarding the rising demand for data scientists across most industries.

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning – Part 3

With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

Impressive Healthcare AI results for Vision Research & Cancer Treatment

This post explores the latest research and AI innovation in vision research and cancer treatment. Learn more about CSIRO’s bionic vision research, powered by the Dell EMC PowerEdge servers. And find out how Gustave Roussy, a leading European center for cancer treatment, sought to increase the processing capabilities of its bioinformatics platform to support more genome analyses per day while enhancing research programs, via a new insideBIGDATA special report.

Exploring the Application of AI Within Healthcare

AI is already having a profound impact on patient care. Machine learning and deep learning build the fundamentals to an AI system, and by taking a holistic approach to the data being generated within healthcare, AI-enabled systems can help to assess risk and facilitate improved human decision making. This insideBIGDATA special report article delves into the application of AI within healthcare, as well as the impact and challenges of these new tools. 

Choosing the Right Data Catalog for Your Business

The decision to invest in and launch a data catalog is a big one for today’s businesses, but one that more and more companies are making in light of the continued growth and expansion of big data. In fact, the self-service data analytic journey often first begins with a data catalog. Unifi Software explores how to choose whether a data catalog is right for your business and key considerations when deciding on a solution.