Ensure that your data science project delivers business value
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How can you ensure that your AI/ML projects will succeed? A framework and architecture to support model-building, deployment, and monitoring can help.
Join us for “MLOps: 5 Steps to Operationalize Data Science” to learn about a new practice to help your data scientists, data engineers, and IT professionals work together to automate and productize algorithms. You will learn:
- What MLOps is
- Its key role in generating business value from data science projects
- The five steps of MLOps .
Speakers
- Sumeet Agrawal, Product Management, Informatica
- Anant Mittal, Research & Development, Informatica
- Vamshi Sriperumbudur, Portfolio Marketing, Informatica
