Listen "Automated Data Labeling for AI Apps"
Episode Synopsis
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: 523SHOW SPONSOR LINKS:Okta - Safe Identity for customers and workforceTry Okta for FREE (Trial in 10 minutes)CBT Nuggets: Expert IT Training for individuals and teamsSign up for a CBT Nuggets Free Learner account Datadog Security Monitoring Homepage: Modern Monitoring and AnalyticsGet 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-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW NOTES:Snorkel AI (homepage)Stanford Spin-Out Snorkel AI Solves a Major Data ProblemTopic 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 environmentsTopic 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 netTwitter: @thecloudcastnet
More episodes of the podcast The Cloudcast
RAG That Survives Production
14/01/2026
20 Years of OSS Databases
07/01/2026
AI & Cloud Trends for December 2025
04/01/2026
Cloud and AI Predictions for 2026
31/12/2025
The Craziest Year (so far) comes to a close
28/12/2025
The 2025 State of AI in Review
24/12/2025
How AGI will change Everything, Everywhere
21/12/2025
The 2025 State of Cloud in Review
17/12/2025
Will there be a market for expert AI agents?
14/12/2025
How AI is evolving Enterprise Infrastructure
10/12/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.