This video provides a technical walkthrough of the new XMPro Notebook and its applications in data science, scientific computing, and machine learning. We also examine the utility of MLflow... this is an embedded Jupiter notebook
providing a familiar interface for data
science scientific Computing and machine
learning
data scientists analysts and Engineers
will be able to access data to innovate
within the XM Pro Suite
we've added built-in chat GPT
functionality to help you in the process
for example you can ask it to create
code to represent data in a certain
visualization
[Music]
when you're done you can save the file
and execute it using our python agent as
embedded AI
or you can apply governance
leverage the mlflow library to commit
the model to your repository right from
within X in Pro notebook
for use in a data stream
this was just a small test of XM Pro
notebook
in last month's webinar Gavin Green
presented a Hands-On demonstration of AI
in intelligent digital twins which is a
fully extended version that explains
these features and more in detail it is
well worth watching
