Data-Centric AI has recently emerged as a trend towards a more balanced view of the model vs data debate. It recognizes that model performance is hugely dependent on not just the quantity of training data, but on its quality. DCAI suggests that investments in data collection, curation, augmentation and quality-improvement techniques, tooling and platforms can be more effective at delivering high-performing real-world models at a lower cost.
With that in mind, starting this month and throughout the summer, we’ll be uncovering stories of how DCAI is being thought about across the industry, from tech giants to smaller startups.
Join us on Tuesday, June 28th for an interactive panel discussion on Data-Centric AI! Register at twimlai.com/go/dcaipanel now!
With Watchful’s modern and interactive solution, the control of data labeling is placed back into the hands of data scientists and machine learning practitioners. Currently built to solve the data challenges faced with NLP, Watchful’s scalable data-centric approach allows anyone, from subject matter experts to MLOps engineers, to holistically explore, classify, annotate and validate any unique dataset to power AI initiatives and business processes. You can start using Watchful today by visiting watchful.io.
Built by the creators of Uber's Michelangelo ML Platform, Tecton's mission is to bring machine learning intelligence to every production application. Tecton offers a key piece of the ML stack, a feature platform, designed to operate and manage the data flows for operational ML applications. It allows data scientists and engineers to manage feature definitions as code, orchestrate pipelines to continually calculate fresh feature values, build high-quality training data sets, and serve features in production for real-time inference. Tecton enables teams to deploy ML applications in days instead of months, and currently serves customers ranging from leading technology and Fortune 50 companies to a wide range of start-ups. And Tecton's open source offering, Feast, is the leading open source feature store. To learn more about Tecton, visit Tecton.ai.
2 Responses
What is the link for joining the 6/28 webinar on Data-centric AI webinar?
Hi John, please head over to twimlai.com/go.twimlai.com/go/dcaipanel to get registered!