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.
insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning
November 8, 2018 by Leave a Comment
Revolutionizing the Media and Entertainment Industry through Artificial Intelligence
September 14, 2018 by Leave a Comment
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
August 17, 2018 by Leave a Comment
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
August 15, 2018 by Leave a Comment
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
July 27, 2018 by Leave a Comment
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
July 17, 2018 by Leave a Comment
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
June 12, 2018 by Leave a Comment
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
May 4, 2018 by Leave a Comment
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 […]
Surface Reconstruction Based on Neural Networks
May 2, 2018 by Leave a Comment
Surface reconstruction is an important trend in 3D scanning. The problem is to recreate surfaces from a given point cloud within the shortest possible time and with a given quality criteria. There is a set of different approaches for solving this problem, which includes Self-Organized Maps, Bayesian reconstruction and Poisson reconstruction. The aim of the […]
The Enterprise AI Promise: Path to Value
March 19, 2018 by Leave a Comment
This interview survey from SAS explores enterprise readiness for artificial intelligence (AI). Respondents came from across EMEA and from a number of industries and sectors. Their views on enterprise AI and their organizations’ levels of readiness were diverse. Download the report, courtesy of SAS, that explores how enterprise AI can make companies more profitable and efficient, as well as study results that shows enterprise readiness to accept and adopt AI.
