Automated Data Labeling for AI Apps

Alex Ratner (@ajratner, Co-Founder/CEO @SnorkelAI) talks about Snorkel’s evolution from Stanford AI Labs, the challenges of labeling data for AI modeling, and simplifying how AI applications can be built. SHOW: 523 SHOW SPONSOR LINKS: Okta - Safe Identity for customers and workforce Try Okta for FREE (Trial in 10 minutes) CBT Nuggets: Expert IT Training for individuals and teams Sign up for a CBT Nuggets Free Learner account Datadog Security Monitoring Homepage: Modern Monitoring and Analytics Get started monitoring your serverless environment with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt. CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS" SHOW NOTES: Snorkel AI (homepage) Stanford Spin-Out Snorkel AI Solves a Major Data Problem Topic 1 - Welcome to the show. Tell us about your background, the origins of the company, and a little bit about the founding team. Topic 2 - Let’s start by framing the day in the life of a data scientist. There’s raw data, there’s a data sorting/organizing process, there’s model building, there’s results and analysis, and the cycle continues, etc. What parts are solved problems, what parts are commoditized, and where is there still room for improvement? Topic 3 - Now that we understand today’s AI/ML/DataScience landscape, let’s talk about how Snorkel Flow and automated data labeling is able to evolve those environments Topic 4 - Application Studio seems like the intersection of Low-Code and Industry-specific templates and the Python toolkit that data scientists understand. Walk us through the mindset of today’s data scientists in how they think about the “developer” part of their jobs. Topic 5 - What are some of the frequent use-cases or business problem areas that you’ve seen drive early adoption of the Snorkel platform? Topic 6 - Where do you see Snorkel fitting into the broader ecosystem of AI capabilities that companies may already have in place? FEEDBACK? Email: show at thecloudcast dot net Twitter: @thecloudcastnet FEEDBACK? Email: show @ the enterprise ai show dot com Bluesky: @TheEntAIShow.bsky.social Twitter/X: @TheEntAIShow Instagram: @TheEntAIShow