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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.

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.

Redistricting with Optimization

This contributed article discusses how optimization is the most transparent and fair method of creating political districts. However, optimization is a highly challenging process that seeks the ideal answer to a problem with hundreds of millions of possible solutions.  The enormity of the problem can be addressed in 2021 because states like Michigan and Virginia are now seriously addressing the gerrymandering issue, while advances in computer software and hardware have made the necessary large-scale optimization possible.

Everything you need to know about Ransomware

[Sponsored Post] Ransomware is indeed one of the most significant security concerns on the internet and one of the most prominent forms of cyber threats that organizations face today. File and document encryption is performed by this malicious software, affecting anything from a single PC to an entire network of computers, including servers. Criminals behind ransomware often leave victims with only two options: pay a ransom or restore from backups.

Heard on the Street – 8/26/2021

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.

Preparing Healthcare Data for the Netflix Effect

In this contributed article, Chris Luoma, Senior Vice President of Global Product Management at Global Healthcare Exchange (GHX), discusses how to achieve the Netflix Effect in healthcare with four best practices­­. The “Netflix Effect” is the uncanny ability of brands to know exactly what we want, when we want it.

Webinar: Using Third-party Healthcare Data to Accelerate Drug Discovery and Clinical Trial Protocol Design

[SPONSORED CONTENT] In this virtual session, AWS Data Exchange will host a panel discussion with thought-leaders from healthcare powerhouse companies like QIAGEN and IBM Watson Health. Learn about the critical role third-party datasets have played in the evolution of the healthcare and life sciences industry. FRIDAY, AUGUST 27 at 11AM PT | 2PM ET

NFL and AWS Launch AI Challenge to Crowdsource Ways to Automate Player Identification using NFL Game Footage

The National Football League (NFL) and Amazon Web Services (AWS) launched a new artificial intelligence Kaggle challenge to create ways for computers to automatically identify players using NFL game footage. New computer vision models created through the challenge will accelerate the NFL’s work with AWS to better understand, and aim to reduce, injuries in the NFL. Prize money totaling $100,000 will be awarded to data scientists with winning models.

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

insideBIGDATA Guide for Higher Education – Part 3

[Sponsored Post] This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, insideBIGDATA Guide for Higher Education, discusses how higher education leaders today want to improve student and institutional success through digital transformation. Dell Technologies is uniquely positioned to help at every step of the way, leveraging a robust portfolio of solutions for data analytics, AI and HPC and coupled with a deep understanding of the missions, visions, and strategies of higher education institutions.