MLOps: Machine Learning Operationalization, Sep 27, 10 am PT, 1pm ET
We know the challenges organizations face when crossing the last mile, or operationalizing their machine learning models. Successfully pushing ML to production requires a shift in your DevOps practices to become MLOps, machine learning operationalization.
Come hear from Nisha Talagala, CTO & VP Engineering, ParallelM; Boris Tvaroska, Global Artificial Intelligence Lead, Lenovo; and Dana Crane, Product Marketing Manager, ActiveState, regarding processes, tools and use cases for machine learning.
Our panelists will walk through:
- Processes for IT and engineering teams tailor-made for operationalizing ML
- Best practices for MLOps
- Use cases for ML including ML for DevOps
Register now to save your seat.