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Data Science Platform (infrastructure (supporting (high performance…
Data Science Platform
infrastructure
scalable big data
cloud analytics infrastructure
like
Amazon Web Services
Google Cloud Platform
supporting
high performance computing
memory intensive data analyses
to solve complex challenges
enabling
data driven products
with the goal to reduce time to market
people
collaboration with scientists across R&D
extremely talented big data and cloud analytics engineering team
extremely talented scientists
unique partnership to drive innovative thinking
one team leveraging agile methodologies
science tools
R/Sparklyr
Python/PySpark
OR/OPL
Java/Scala
The main purpose
develop ways
to make use vast pools of data
derive insights that can inform company strategy
digital transformation
five pillars that define the digital opportunity
operational excellence
business productivity,
customer centricity
revenue enablement
disruptive innovation
ever-expanding information assets
transforming data science
from exploration
full production implementation
cross functions
R&D
Commercial
Global Supply Chain
NPV of the project
cost reduction
improved product advancement decisions
sales revenue increase
science@scale
monsanto