Click to learn more about author James Kobielus. Big Data Analytics has been one of the dominant tech trends of this decade, and it’s also been one of the most dynamic and innovative segments of the IT market. Today’s Big Data Analytics market is quite different from the industry of even a few years ago, and […]
Ten Myths About Data Science
Click to learn more about author Daniel Jebaraj. Introduction Data Science is now being used as a competitive weapon. As with other technologies and processes that can transform the way companies operate, there’s a lot of contradictory information about it that’s causing considerable confusion. Most of today’s business leaders have heard that Data Science can […]
Machine Learning Moves to the Hybrid Cloud
The future of Machine Learning (ML) is more: more projects, more stakeholders, and more migrations of high-performance computing (HPC) for Machine Learning workloads to the Hybrid Cloud. A recent survey conducted by Dimensional Research looked at the market momentum of Machine Learning, why companies are moving in that direction, and the hurdles they must overcome […]
ZeroStack Delivers AI-as-a-Service
According to a new press release, “ZeroStack, creators of a self-driving cloud that lets users focus on their businesses, today announced that administrators of its Self-Driving Cloud platform can provide single-click deployment of GPU resources and deep learning frameworks like TensorFlow, PyTorch, and MXNet, taking care of all the OS and CUDA library dependencies so […]
AWS Announces New Amazon EC2 Instances and Networking Enhancements
According to a new press release, “Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com company, announced three new instance offerings for Amazon Elastic Compute Cloud (Amazon EC2): (1) A1 instances—powered by custom-designed AWS Graviton processors for scale-out workloads. (2) P3dn GPU instances—ideal for distributed machine learning and high performance computing applications. (3) […]
Contemporary Data Scientists: Working Machine Learning at Scale
In a recent Magic Quadrant for Data Science and Machine Learning Platforms report, it was expressed that the Data Science and Machine Learning platform market will be in a state of flux over the next few years. Among the drivers of change will be providing Data Scientists with the ability to manage models and collaborate […]
Fastest Analytics Using Hybrid Architectures with Machine Learning
Click to learn more about author Henry Bequet. Every year scientists and researchers gather at a conference called Super Computing, or SC, to exchange their views, solutions and problems in computational science. At SC17, there were no fewer than 22 presentations and keynotes involving Machine Learning and Deep Learning (DL). There were actually many more presentations about […]
Data Warehouses and GPUs: Big Data at High Speed
“Three years ago it was tough to tell the market that they should put a Data Warehouse on top of something that runs on top of GPUs,” said Ami Gal, CEO and co-founder of SQream. “Now it’s clear that GPUs are storming A.I., Machine Learning, and data centers,” and GPU technology has become an accepted […]
IBM and NVIDIA Collaborate to Expand Machine Learning Tools for Data Scientists
A new press release reports, “IBM today announced that it plans to incorporate the new RAPIDS™ open source software into its enterprise-grade data science platform for on-premises, hybrid, and multicloud environments. With IBM’s vast portfolio of deep learning and machine learning solutions, it is best positioned to bring this open-source technology to data scientists regardless […]
Managing Business Leadership Expectations Around the AI Hype
Click to learn more about author Oksana Sokolovsky and Rohit Mahajan. Like many technologies, AI is now in a full-scale hype cycle, both in the industry and the societal/consumer mainstream. While it’s nice to have broad interest and appreciation in what we technologists and Data Scientists are doing with AI, having the spotlight on it […]