As enterprises mature in their appreciation and use of machine learning, deep learning, and AI, a critical question arises: How can they scale and industrialize ML development?
Part of the answer to this question is supporting data scientists and ML engineers with appropriate processes and technology platforms.
To help enterprises understand the platform landscape and attendant issues, TWIML is excited to present our eBooks on emerging enterprise ML & AI platform technologies.
In this month’s webcast, Sam Charrington is joined by Juhi Dhingra and Dunja Panic. Working as product managers on either side of the batch and streaming platforms at Intuit, they will discuss the process of creating these two platforms, walk us through the real business use cases where stream and batch processing is used for feature generation and how they are helping their customers decide which platform will be most suitable for their needs.
Check out the replay of this great session here!
TWIMLcon: AI Platforms 2021 assembled an impressive selection of enterprise ML/AI practitioners and leaders for two weeks of insightful presentations, workshops and discussions on accelerating ML development and deployment in the enterprise.
TWIMLfest is a community-focused virtual festival dedicated to connection, collaboration, fun, and learning. This event featured sessions hosted by TWIML community members, live keynote interviews, panels, meetups, a premiere of the movie Coded Bias and interactive activities like collaborative art projects and coding challenges.
TWIMLcon AI Platforms 2019 was our inaugural conference focused on MLOps and how enterprises can overcome the real-world challenges of developing, productionalizing, operationalizing, and scaling ML & AI. This event, like subsequent TWIMLcon conferences, focused on building connections with other practitioners in the space while sharing practical information that participants could take back to their organizations and implement.
Watch on demand videos of this in-person event here.