The goal for this Guide sponsored by Dell Technologies is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in higher education: student success and workforce readiness, simplified systems and processes, and accelerate research.
insideBIGDATA Special Report: Healthcare and HPC — Bridging the Gap Through Artificial Intelligence
Will the rise of artificial intelligence (AI) displace the need for traditional physicians and clinicians? It’s a potent question—and one that often sits on the periphery whenever there are discussions around the application of AI within healthcare, and healthcare and HPC. This new insideBIGDATA special report, brought to you by Dell EMC and NVIDIA, is essential reading for anyone looking to explore or expand on the use of AI within the medical industry.
insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning
This insideBIGDATA technology guide explores 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.
Reinventing the Retail Industry Through Machine and Deep Learning
Today, deep learning techniques are poised to disrupt the retail industry. As artificial neural networks become more and more efficient, and as graphics processing units get more and more powerful, so does their influence on retail. Download the new insideBIGDATA special report, courtesy of Dell and NIVIDA, to learn more about how machine and deep learning is revolutionizing the retail industry.
Special Report: AI-HPC is Happening Now
HPC and the data driven AI communities are converging as they are arguably running the same types of data and compute intensive workloads on HPC hardware, be it on a leadership class supercomputer, small institutional cluster, or in the cloud. Download the insideHPC Special Report, brought to you by Intel, to learn more about AI-HPC and how today’s businesses are using this technology.
Using the Cloud: Capitalizing on Performance, Analytics and Data
Demand for enterprise cloud services is growing exponentially. A recent Teradata survey indicates that by 2020, 90% of their customers expect to have a hybrid cloud environment—and more than 85% expect to buy analytics as a service. Download the InsideBIGDATA special report, courtesy of Teradata, to learn more about how to use the cloud to your advantage.
insideHPC Special Report Riding the Wave of Machine Learning & Deep Learning
AI, machine learning and deep learning are transforming the entire world of technology, but these technologies are only making headway now due to the proliferation of data. Companies first steps should include the “Five-step enterprise AI strategy”. To learn more about riding the wave of machine learning and deep learning download this insideHPC special report.
InsideBIGDATA Guide to Data Analytics in Government
This guide 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. Download this InsideBIGDATA guide to data analytics in government.
insideBIGDATA Guide to Use of Big Data on an Industrial Scale
In this document, our focus is on “industrializing” big data infrastructure—bringing operational maturity to the Hadoop data ecosystem, making it easier and cost-effective to deploy at enterprise scale, and moving companies from the proof of concept stage into production-ready deployments. Download this Guide to Big Data on an Industrial Scale to learn more.
insideBIGDATA Guide to Artificial Intelligence & Deep Learning
In this guide we explain the difference between AI, machine learning and deep learning, and includes highlights of the insideBIGDATA audience survey. To learn more about AI and deep learning download this guide.