WHAT: ParallelM, a rapidly growing company in the machine learning operationalization (MLOps) space, will showcase MCenter, the first solution that delivers a unique approach for MLOps and addresses the issues associated with deploying, optimizing and governing machine learning (ML) in production, at Table Eight.
In addition, both its CEO and its CTO will be presenting at the show.
WHO: Sivan Metzger, CEO, and Nisha Talagala, CTO and VP of Engineering
WHEN and WHERE:
Wednesday, October 31, 2018, at The Hyatt Regency South San Francisco at:
— 9:00am PT; Room T6 – Nisha Talagala, Sindhu Ghanta and Drew Roselli will be conducting a workshop on how to take Deep Learning programs and monitor their health in a production environment
— 4:00pm PT; Accelerate AI West – Sivan Metzger will be discussing “ML Operationalization: From What & Why to How & Who?”
Thursday, November 1, 2018 from 10:30am to 5pm PT at Table 8
Friday, November 2, 2018, from 9am to 8pm PT at Table 8
WHY: Many companies are falling behind when it comes to scaling machine learning across their business, despite its positive success. Early AI adopters report profit margins that are 3-15 percent higher than the industry average, according to research from McKinsey Global Institute.
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, optimization, and governance of machine learning pipelines in production so that companies can scale machine learning across their business applications. ParallelM’s approach is that of a single, unified MLOps solution that embeds best practice processes in technology, enabling all ML stakeholders to unlock the business value of AI. Please visit www.parallelm.com or email us at firstname.lastname@example.org.