BIG DATA MANAGEMENT
Agmatix | November 24, 2021
Agmatix, a start-up agtech business owned by leading global specialty minerals company, ICL, has today launched a breakthrough data technology platform. As the world's first single engine that drives the agronomic innovation cycle from research and experimental data into meaningful real-life actions, the Agmatix technology creates a new data language that can read and interpret thousands of the different data points commonly used across the agricultural industry. The unique system then provides agronomists, researchers and farmers with the vital information needed to make better crop management decisions to increase yields and crop quality.
By digitizing field trials and agronomic experimentation, as well as standardizing data across the industry, the new Agmatix solution is also building a global database poised to unlock the mainstream use of big data in agronomy - shortening timelines, reducing waste and increasing profitability for agricultural professionals and farmers.
The new technology achieves this by utilizing machine learning and artificial intelligence to provide comprehensive advice as to soil, land topography, irrigation, weather and crop management. Importantly, the Agmatix platform enables the development of statistically and scientifically stronger agricultural models, which helps to reduce food waste and support the issues of world food poverty and a growing global population.
"Growers, agronomists, researchers and ag industry experts are tackling today's biggest challenge - providing food security for the world's growing population. While searching for a solution, each of them is creating and collecting vast amounts of data and expertise. But In order to face this epic challenge, they will need to be able to share the data and knowledge between them. Our technology provides a solution that unites, standardizes and leverages agricultural data, allowing it to effectively manage agronomic research trials and translate them into real life practices in a one-stop-shop."
Ron Baruchi, CEO, Agmatix
Agmatix's technology platform has now completed over 50,000 field trials, processing 17 million agronomic measurements and successfully analysing over 70 plus different crop types on a global scale. The company has partnered with leading global research institutes, universities, NGOs and leading agricultural companies who are now using Agmatix to build the largest and highest quality database of standardized data in the world. This will equip such institutions with the tools to develop machine-based models that can predict the environment's impact on plant nutrition, enabling short and long-term planning.
Empowering agro-tech professionals around the world, the Agmatix solution is a SaaS technology platform made-up of five key component modules, including:
Field Trial Management Platform – The system digitally manages field trials including data collection and analysis from start to finish
Trials and Research Data Ingestion – The system automatically ingests and standardizes legacy data from agronomic field trials and experimentation
Data Insights & Predictive Models – A self-analysis tool using advanced machine learning models derived from field trials and experimentation data
Decision Support Systems – For agro-professionals, the Agmatix Digital Crop Advisor tool enables the translation of insights into actual decision support systems
Axiom Open - A collaborative and open portal that enables agro researchers and professionals from around the globe to share and view agronomic data to tackle common high-level challenges
Ron Baruchi concludes, "We must leverage big data to solve these global problems and find ways to collaborate across the agri-food industry. It begins with high-grade standardized agronomic data to enable change on a large scale."
Agmatix is an agro informatics company that develops data-driven solutions for ag professionals worldwide. Their cutting-edge technology platform uses agronomy data science and advanced AI technology to convert agronomic data into actionable insights at field level. The SaaS platform aggregates, standardizes, and harmonizes agronomic data from trials and experiments, unlocking a significant new layer of knowledge. With a revolutionary approach, Agmatix aims to solve the lack of data standardization to dramatically improve agricultural practices, crop yields, nutritional quality, and promote sustainable agriculture.
BIG DATA MANAGEMENT
RNDC | December 21, 2020
Republic National Distributing Company (RNDC) and LibDib, today unveiled a joint data analytics lab that is creating AI (computerized reasoning) calculations for the two merchants' discount advanced trade insight. The joint exertion has started energizing understanding, mechanization and man-made reasoning into both the LibDib and eRNDC computerized business stages to profit clients, providers and the RNDC salesforce. The new lab is an augmentation of the joint computerized stage work the two organizations have created as they keep on upsetting the way progressed analytics and AI are utilized in refreshment liquor. The declaration formalizes the two organizations' speculation and asset responsibilities to take AI innovation to the following level.
“RNDC and LibDib have prioritized innovation and value-added technology at every opportunity and today’s announcement takes wholesale digital commerce to the next level,” said Tom Cole, CEO of RNDC. “Data and analytics has been one of RNDC’s most important initiatives and we will continue to invest in cutting-edge technology that elevates the digital experience for our salesforce, suppliers and customers alike.”
To support the new initiative, the LibDib management team has partnered with RNDC’s Darrell Riekena, CIO, and Tracy Ariail, SVP of eCommerce and Digital, to drive innovation throughout RNDC and LibDib’s digital footprint. To harness the power of the new capabilities from within the applications, LibDib’s Robert Brashears is now overseeing the analytics lab as VP of Data & Analytics. Together, RNDC and LibDib’s leadership teams have increased their scope and are guiding a group of talented data scientists and developers to build even more engaging experiences.
“Every day, our data analytics lab is providing automation and power to the RNDC and LibDib digital experiences,” said Robert Brashears. “Real time and historical access to the comprehensive shopping and purchasing data possessed by the combined companies’ digital and traditional footprint is an amazing arena in which to build and deliver insight that matters.”
“As LibDib and RNDC move further into our partnership, our analytics lab formalizes another avenue for innovation that benefits both joint venture partners and the industry at large,” said Cheryl Durzy, Founder and CEO of LibDib.
LibDib, LLC, is a licensed wholesale distributor of alcoholic beverages, currently operating in California, New York, Florida, Illinois, Colorado, and Wisconsin. Via a proprietary marketplace, LibDib is available to any wine or spirits Maker for three-tier distribution. Using LibDib, Restaurants, Bars & Retailers can easily and efficiently purchase thousands of unique and small batch wines and spirits. The company was founded in 2016 and is based in San Jose, California.
About Republic National Distributing Company
RNDC, a world-class distributor of fine wines and spirits in North America, has operations in Alabama, Arizona, Colorado, District of Columbia, Florida, Georgia, Indiana, Kentucky, Louisiana, Maryland, Michigan, Mississippi, Nebraska, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Texas, Virginia, and West Virginia. Young’s Market Company, a partner of RNDC, distributes wines, spirits, and select beverages in the western United States including Alaska, California, Hawaii, Idaho, Montana, Oregon, Utah, Washington, and Wyoming.
Accenture | September 24, 2020
Accenture today announced that it has built a data and analytics approach to manage and derive insights from pediatric acute myeloid leukemia (AML) genomic data. Working in collaboration with researchers and clinicians from Fred Hutchinson Cancer Research Center (Fred Hutch), and the Target Pediatric AML (TpAML) computational working group, a large-scale research project which supplied the data, this new approach aims to enable pediatric oncology physicians and researchers — specifically those focused on pediatric AML — to better analyze patient clinical trial and genetic data, with the potential to improve precision medicine.