In today's AI-driven era, maintaining an organized MLOps framework is essential. XMPro's MLflow Agent is your go-to solution for streamlined model governance, ensuring you never lose track... as AI scales within the organization
corporate guard rails require AI to be
modeled within an mlops framework you
don't want to end up with models stored
in a variety of places and lose track of
which is the latest version or where it
is
located ml flow agent is the first in a
series that enables effective model
governance using a popular mlops tool
set let us know if you are using a
different
repository this empowers data scientists
to promote new model versions within MLF
flow without going back to edit the data
stream let's see this in
action my thanks to Chris for recording
this
demo as soon as I find my
mouse in it we have an mlflow agent
configured to use version one
of a model called wine
quality once the data stream is
published observe that the first event
confirms model version one was used to
make a
prediction now we'll change over to
mlflow and promote version two to
production
going back to the data stream without
reconfiguring or republishing observe
that model version 2 is seamlessly used
to make the next
prediction
