Monthly Archives: October 2020

The Impact of the Covid-19 Pandemic on Conversational AI

In this contributed article, technologist Jason White discusses conversational AI and how this technology addresses the need to power a company’s priority to have intelligent and automated conversations with customers.



Data Con LA: Large Regional Data Tech Event Goes Virtual Oct. 23-25

Data Con LA, is the largest data conference for data and tech enthusiasts in Southern California. The event is now virtual, with several educational and networking opportunities. The Data Con LA virtual conference takes place from October 23rd to October 25th, 2020 and features keynotes, sessions, tutorials, and networking opportunities.



Best of arXiv.org for AI, Machine Learning, and Deep Learning – September 2020

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.



Data Accuracy and Measurement Validity Hold the Key to the Future of Oil and Gas

In this special guest feature, Steve Cooper, Vice President of Data Management Solutions at Quorum Software, discusses the importance of data accuracy and measurement validity as these professionals are confronted with integrating the oilfield to the back office. Over the past several years, data volume in the oil and gas industry has grown exponentially through the advancement of information technology, but the next wave of innovation in the space will require streamlining data collection, storage and measurement across multiple sources in order for these companies to stay efficient and spend and save resources where they can.



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.



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.



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.



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.



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