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Coming Next in Smart Farming Agronomy —Digitizing the Microbiome

In this contributed article, Bob Gunzenhauser, Agronomy Science Manager for Granular, part of Corte, explores how AI-driven tools are digitizing the soil microbiome and will eventually become another layer of data to drive precision farming. Bob shares his insights as a fifth generation farmer in Iowa who has been involved in the development of Decision Agriculture over the last 25 years, from its early days of yield monitors to today’s predictive analytics and crop modeling.

Lessons Learned: Training and Deploying State of the Art Transformer Models at Digits

In this blog post, we want to provide a peek behind the curtains on how we extract information with Natural Language Processing (NLP). You’ll learn how to appy state-of-the-art Transformer models for this problem and how to go from an ML model idea to integration in the Digits app.

eBook: A Practical Guide to Using Third-Party Data in the Cloud

[Sponsored Post] To help you navigate a proliferating data landscape, AWS Data Exchange would like to present you with a copy of the new eBook, “A Practical Guide to Using Third-Party Data in the Cloud.” Learn how innovative teams are shifting their focus from data-driven business intelligence to accelerating insight-driven decision-making and now are turning to third-party datasets as a differentiator.

A Hitchhiker’s Guide to AI that Actually Works for Business

In this special guest feature, Alex Hoff, Senior VP of Product Management & Marketing at Vendavo, believes that if you want an AI or ML solution that will be of any practical use, it needs to be a white-box model that is explainable, interpretable, and it will be both more usable and effective if it allows for human insights and intelligence to be combined with the artificial intelligence and insights – a centaur, or perhaps a cyborg.

Heard on the Street – 9/8/2021

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

How to Organize Data Labeling for Machine Learning: Practical Approaches

In this contributed article, AI and computer vision enthusiast Melanie Johnson discusses how prior organization of data labeling for a machine learning project is key to success. Organizing data labeling for machine learning is not a one sitting job, yet a single error by a data labeler may cost you a fortune. Now, you probably wonder how do I get high-quality datasets without investing so much time and money?

TOP 10 insideBIGDATA Articles for August 2021

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

How to Move Fast in the Cloud Without Breaking Security

In this special guest feature, Asher Benbenisty, Director of Product Marketing at Algosec, looks at how organizations can solve the problems of managing and maintaining security in hybrid, multi-cloud environments. Also discussed is the common confusion over cloud ownership, and how organizations can get consistent control and take advantage of agility and scalability without compromising on security.

Infographic: The Fastest Supercomputers Ever Built and Who Built Them

Supercomputers are an important part of computational science, including weather forecasting, climate research, quantum mechanics, molecular modeling, and cryptanalysis, as they are able to process information more quickly than a traditional computer. The United States has historically been a leader in supercomputer development, but other countries’ technology and research have been catching up. The HP research team consulted data from supercomputer ranking project TOP500 to visualize the most powerful supercomputers in the world as well as their country and company of development.

T-Shaped Teams: A New Roadmap for AI and Big Data Adoption

CFA Institute, the global association of investment professionals, released new industry research that identifies a new organizational approach for enabling financial institutions to develop and successfully execute artificial intelligence and big data strategies.