Championing modern science workflows to benefit dairy farmers
Mark Neal from DairyNZ walks through their decision to choose Snowflake and Posit to handle the increasing volume of data from wearable devices.
Dairy research faces data volume and variability challenges. DairyNZ's Modern Science Workflows project addressed this via infrastructure, capability, and business disciplines.
DairyNZ has enabled large dataset projects utilising machine learning, which would not have been possible before partnering with Posit and Snowflake (e.g., animal sensor data analysis).
Dairy research faces data volume and variability challenges. DairyNZ's Modern Science Workflows project addressed this via infrastructure, capability, and business disciplines.
DairyNZ has enabled large dataset projects utilising machine learning, which would not have been possible before partnering with Posit and Snowflake (e.g., animal sensor data analysis).
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Featured in this webinar
Mark Neal - Host
Head of Data Science, DairyNZ
Mark is a farm systems’ expert who brings strengths in agricultural economics, economic modelling, and optimising farm systems and their profitability to his role managing the data science and modelling team.