Resources

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.

Retrieval-augmented generation promised to bring ChatGPT’s magic to enterprise data. But while organizations rushed to build chatbots, they often struggled to deliver real business value. This comprehensive guide reveals RAG’s full potential beyond conversational interfaces.
This ebook explores the ways in which tools and platform technologies can support the machine learning workflow. Starting from a look at the platforms built by leading data-first companies (e.g. Facebook, Uber, and Google), we identify the various process disciplines that they embody, and what these say about the landscape of MLOps platforms for the enterprise.
In this ebook, we look at enterprise ML and AI platform needs from the bottom up, with a focus on infrastructure support for data science and machine learning teams. Kubernetes is a strong infrastructure contender for ML/DL workloads, for reasons explored in this ebook.

EVENTS

Past Webcasts

Towards a Unified Batch and Streaming ML Platform at Intuit

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! 

Past Conferences

TWIMLcon: AI Platforms 2022

TWIMLcon: AI Platforms returned in the fall of 2022 to once again bring to light the platforms, tools, technologies, and practices necessary to enable and scale enterprise machine learning and AI.

Stay tuned for more details about on-demand viewing for this event.

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.

Click here to learn more and view sessions on demand!

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.

Click here to browse the agenda and watch replays!

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.