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Unified Analytics for Dummies: Accelerate AI Innovation

In this Databricks e-book, you not only discover how to avoid and overcome the most common challenges impacting AI success, but a new concept is also introduced. Download the new e-book that explores Unified Analytics, a concept that brings together solutions that unify data science and data engineering, making AI much more achievable for enterprise organizations and enabling them to accelerate their AI initiatives.

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.

Revolutionizing the Media and Entertainment Industry through Artificial Intelligence

From the creative process behind the scenes, to content delivery and audience engagement, artificial intelligence is having a profound effect on the media and entertainment industry. Download the new guide, brought to you by Dell EMC and Nvidia, to learn more about how AI is revolutionizing this sector.

Four Sources of Machine Learning Bias

As a company that specializes in training AI systems, we know only too well that AI systems do precisely what they are taught to do. Models are only as good as their mathematical construction and the data they are trained on. Algorithms that are biased will end up doing things that reflect that bias.

Ready, set, fail? Avoiding Setbacks in the Intelligent Automation Race

Corporate plans for AI likely to fail? A new study, “Ready, set, fail? Avoiding Setbacks in the Intelligent Automation Race” from our friends over at KPMG asserts that most corporate artificial intelligence projects underway or currently in the pipeline will fail.  This is based on the following findings: The survey of 90 industry leaders found […]

Machine Learning in Energy: A Hot Spot in Seismic Processing

Artificial intelligence and machine learning, based on widely available hardware and novel software techniques, give energy exploration companies the confidence to pinpoint drilling locations, resulting in lower costs.  Download the new special report, courtesy of Dell EMC and Nvidia, to learn how HPC technology is being used for energy exploration, ranging from drilling and well completion to modeling oil-refining strategies. 

SpotIQ AI-Driven Analytics: Architecting Automated Insights for the Masses

SpotIQ AI-driven analytics automatically uncover answers to questions business people may not have known to ask. Powering SpotIQ is a new breed of analytics architecture and in-memory calculation engine that was built from the ground up for speed at scale on billions of rows of data across multiple data sources. Download the new white paper, courtesy of ThoughtSpot, that explores how with SpotIQ AI-drive analytics, you now have the power of a thousand analysts in your hand.

Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing

There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Overall, one thing is clear—organizations that are utilizing these technologies now are gaining value. Download the new TDWI Best Practices Report, courtesy of SAS, to learn more about the latest innovations in advanced analytics. 

Data-Efficient Machine Learning

From Quadrant (a D-Wave business), this whitepaper describes a practical impediment to the application of deep neural  network models when large training data sets are unavailable. Encouragingly however, it is shown that recent machine learning advances make it possible to obtain the benefits of deep neural networks by making more efficient use of training data […]