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“Above the Trend Line” – Your Industry Rumor Central for 7/29/2021

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

MLOps: Bringing AI to the Tactical Edge—and Making It Work

In this contributed article, Joel Dillon and Eric Syphard of Booz Allen, feel strongly that in order for machine learning to have a profound impact on data sharing for defense and the intelligence community, it’s imperative that data get communicated to warfighters at the tactical edge, where fast decisions are at a premium and compute power and connectivity are often scarce. It is critical that these edge use cases characterize and shape planning for AI and ML-driven investment as digitization continues to accelerate the pace of war.

insideBIGDATA Latest News – 7/24/2021

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.

Global Data Science Competition Gathered Brilliant Minds to Solve Social Problems

For over two months, 50 teams representing 34 nationalities competed for a spot in the top ten of the World Data League (WDL) – a quest to find long-lasting solutions for social-oriented problems using data.

Geospatial Tech: A Silver Lining in the Pandemic

In this contributed article, Ajay K. Gupta, CISSP, MBA, CEO at HSR.health, discusses how geospatial data is now at the core of how most states in the US are responding to the COVID-19 pandemic. There is no doubt that GIS is demonstrating its incredible power during COVID. Integrating geospatial data with relevant statistics can help understand and evaluate the transmission and spread of a viral contagion.

TensorRT 8 Provides Leading Enterprises Fast AI Inference Performance

NVIDIA today launched TensorRT™ 8, the eighth generation of the company’s AI software, which slashes inference time in half for language queries — enabling developers to build the world’s best-performing search engines, ad recommendations and chatbots and offer them from the cloud to the edge.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2021

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.

Video Highlights: A Path Into Data Science

Are you interested in getting ahead in data science? On this TalkPython podcast episode, you’ll meet Sanyam Bhutani who studied computer science but found his education didn’t prepare him for getting a data science-focused job. That’s where he started his own path of self-education and advancement. Now he’s working at an AI startup and ranking high on Kaggle.

High Tech Pivoting

In this contributed article, Verl McQueen, Product Marketing Manager for Aras Corporation, discusses how agility counts in innovation and even more so when pivoting to new business models. But if your existing tool set resists or cannot change, pivoting can be slow and painful. Some vendors encourage customization of their base offering and some even provide a low-code pathway to enact such changes.