WHAT: ParallelM, a rapidly growing new company pioneering in the machine learning operationalization (MLOps) space, will host a webinar:
“Production ML for Data Scientists: What You Can Do and How to Make it Easy”
This webinar will:
- Introduce data scientists to the MLOps (machine learning operationalization) approach and its benefits
- Provide a demonstration on how to utilize an MLOps approach
WHO: Nisha Talagala, CTO, and Craig Michaud, Sales Engineer, from ParallelM
WHEN: Wednesday, August 22 at 1:00pm ET/10:00am PT
WHY: For many data scientists in the enterprise, the deployment of machine learning into production environments has become a second job – one that most of them do not want. Currently, IT and operations teams – as well as the tools they use – leave data science and data engineering teams on the hook for the success, or failure, of ML and AI initiatives.
ABOUT PARALLELM: ParallelM is the first and only company completely focused on delivering machine learning operationalization (MLOps) at scale. ParallelM’s breakthrough MCenter™ solution is built specifically to power the deployment and management of machine learning pipelines in production, so that companies can scale machine learning delivery across their business applications. ParallelM’s approach is that of a single, unified MLOps solution that embeds best practice processes in technology, enabling collaboration across all ML stakeholders to unlock the business value of AI. To learn more, visit www.parallelm.com.