According to the findings from the latest annual 2020 RELX Emerging Tech Study, carried out by Proagrica parent RELX through IPSOS Mori, three in four – 76% – of US agriculture businesses have upped their spend on AI technologies in light of the pandemic, according to new research. Agriculture was second only to the insurance industry, which reported a marginally higher investment level of 78%, and of the eight sectors canvassed, agriculture spent the most on AI training.

In this special guest feature, Ophelia Otto, scoutbee Industry Relations Lead, discusses AI technology can bring a business operation like procurement from the stone age to the modern age by allowing teams to rely on automation rather than placing all bets on little black books and outdated spreadsheets.

On Wednesday, November 11th, at 9am PST, a group of researchers and industry players on the leading edge of a new approach to HPC architecture join to explore the topic in a webinar titled, “Disaggregated System Architectures for Next Generation HPC and AI Workloads.”

In this contributed article, editorial consultant Jelani Harper offers a number of important trends in data modeling for 2021, specifically inroads for attaining the universal data model ideal. Common data models are speedily becoming a necessity for organizations to determine all relevant data for any singular use case, the most convincing of which is still cognitive computing deployments.

In this contributed article, Amar Kanagaraj, Founder and CEO of oneDPO, presents an innovative concept to handle enterprise data. Data assets are used and valued differently depending on the organization and, within that, the team. We can classify data assets based on usage into four categories.

NetApp, a leading cloud data services provider has teamed up with Run:AI, a company virtualizing AI infrastructure, have teamed up to allow faster AI experimentation with full GPU utilization. The partnership allows teams to speed up AI by running many experiments in parallel, with fast access to data, utilizing limitless compute resources. Run:AI enables full GPU utilization by automating resource allocation, and NetApp® ONTAP® AI proven architecture allows every experiment to run at maximum speed by eliminating data pipeline bottlenecks.

In this special guest feature, Balaji Ganesan, CEO and co-founder of both Privacera, the cloud data governance and security leader, and XA Secure, acquired by Hortonworks, discusses the truth behind the evolution of Apache Ranger, and also explores common misconceptions and lessons learned from almost a decade of community experience with Apache Ranger in production environments.

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.

In this contributed article, Magnolia Potter believes the implications of big data in social justice issues are vast and concerning. With everything from privacy violations to prevention possible when it comes to handling protests, free speech rights are a valid consideration in the management of big data.