EPAM & Syngenta : Driving Excellence in R & D Technology and Beyond
Discover how EPAM ’ s digital transformation solutions and self-built data lakes further Syngenta AG ’ s R & D in the agricultural science sector
Farming is the future . But , to weather the storms that lay ahead , that ever-useful tool , data , is essential . Step up , EPAM .
EPAM rethinks the software that supports R & D to :
• Build robust functional data foundations
• Connect all ( R & D ) data across functional data domains
• Use machine learning and predictive analysis to generate new insights
• Develop end-user applications that allow functional experts to utilise insights
Syngenta AG is a leading global agriculture technology company that sustainably assesses and restores soil fertility , protects crops and improves seed quality . A large part of the company ’ s work involves assessing seed product outcomes to inform future decisions but , to do this efficiently and effectively , an overhaul of its data analytics ’ workflow was needed .
Data-enabled insights drive novel , augmented and targeted innovation to meet the changing needs of the future . As such , EPAM is responsible for operating multiple cloud-based data lakes , data warehouses and interconnected analytical tools for Syngenta . Each Syngenta data lake is remarkable in that it captures , contains and processes vast amounts of data , helping to give Syngenta enormous potential to drive future agricultural innovation .
The data lakes cover Seeds and Crop Protection R & D spaces as well as an enterprise-wide Production , Supply and Commercial space . Via these data lakes , over 100 source systems and applications coalesce to provide data , with thousands of data extraction and transformation jobs providing millions of rows of data .
Meanwhile , in Research Chemistry , EPAM drives Digital Transformation to capture high-quality structured data from chemical reactions , to enable the transfer of chemical knowledge throughout the organisation . This helps Syngenta to make data-driven synthesis decisions and to build AI-powered workflows .
In phenotyping , genotyping and novel compound research , the ‘ Big ’ in ‘ Big Data ’ isn ’ t just a buzzword , it ’ s a reality – good news when the future of the world ’ s crop supply is in Syngenta ’ s hands .
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