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NVIDIA Advances Performance Records on AI Inference

NVIDIA today announced its AI computing platform has again smashed performance records in the latest round of MLPerf, extending its lead on the industry’s only independent benchmark measuring AI performance of hardware, software and services.



insideBIGDATA Latest News – 10/20/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.



2021 Trends in Cloud Computing: The Omni Present Multi-Cloud Phenomenon

In this contributed article, editorial consultant Jelani Harper discusses how it’s imperative organizations optimize traditional cloud advantages of reduced cost, scalability, and ubiquity of access with a low latent experience. Although numerous developments have arisen to reinforce these boons, their underlying motif is the multi-cloud phenomenon surging to the top of progressive organizations’ priorities.



The Secret Sauce for Successful AI? Humans

In this special guest feature, Duncan Curtis, Vice President of Product Management at Samasource, believes that contrary to popular understanding, the key to AI’s success is the combination of human oversight and skillfully trained data, not pure automation. As AI becomes more accessible and prevalent to our daily lives, the practices we instill now will inform the effectiveness of our future technology.



Video Highlights: Data-enabled Hypersurfaces

Imagine any objects and surfaces can become smart and connected to the digital world. In the TEDx video presentation below, Dr. Bruno Zamborlin shares how his company HyperSurfaces uses vibration sensors and edge-AI to transform any object of any material and shape into smart interfaces, seamlessly merging the physical and data worlds without the need for buttons, touch screens or even internet connections.



How Can Machine Learning Contribute to Our Wellness?

In this contributed article, IT and digital marketing specialist Natasha Lane, asks the question, “Can machine learning contributed to our wellness?” Wellness is a somewhat elusive concept, defined by the WHO as “a state of complete physical, mental, and social well-being, and not merely the absence of disease or infirmity.” See ways ML can make a difference.



What’s Under the Hood of Neural Networks?

In this contributed article, Pippa Cole, Science Writer at the London Institute for Mathematical Sciences, discusses new research on artificial neural networks that has added to concerns that we don’t have a clue what machine learning algorithms are up to under the hood. She highlights a new study that focuses on two completely different deep-layered machines, and found that in fact they did exactly the same thing, which was a huge surprise. It’s a demonstration of how little we understand about the inner workings of deep-layered neural networks.



How Automation Helps You Exploit the Value in Big Data

In this sponsored post, Simon Shah spearheads marketing at Redwood Software to support continued market growth and innovation for their cloud-based IT and business process automation solutions. He believes that by using automation to collect and manage your big data processes, you will truly exploit its value for the business.



Why We Need ML Ops: 4 Things to Consider When Testing AI

In this special guest feature, Stephan Jou, CTO of Interset, a Micro Focus company, explores things businesses should consider when deploying production ML pipelines and testing AI. MLOps is important because businesses have now accepted the value of AI and ML, and are now focused on extracting the promised value from those ML systems.



The insideBIGDATA IMPACT 50 List for Q4 2020

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!



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