Qwak (acquired by JFrog) reposted this
Need a way to handle model traceability so #developers can go back to the source for easy recall > retraining > redeployment if something goes wrong? Hear from JFrog CTO Yoav Landman, & Qwak CTO, Yuval Fernbach on how the unification of JFrog and Qwak will help enterprises adopt #AI / #ML in a safe and reliable way. Secure your seat today: https://jfrog.co/3VX9dwm
Build & manage your entire AI lifecycle from a single platform 💫 Qwak’s platform simplifies data preparation, model building, training, and deployment. With Qwak, AI teams can easily: ✨ Connect data and feature pipelines ✨ Automate processes ✨ Define monitors and alerts ✨ Train, fine-tune, and deploy models seamlessly Get onboard and simplify your AI workflows today >> https://lnkd.in/dXunv8w5 #AIplatform #MLOps #LLMOps
Happening tomorrow! Join Guy Eshet for the live unveiling of JFrog ML 🐸 ✨ In his session, Guy will walk us through how JFrog ML unifies your #DevOps, #DevSecOps, & #MLOps under one trusted solution. Mark your calendars! 📅 Wednesday, September 18 🕚 11 AM EDT | 5 PM CEST Register here 👉 https://lnkd.in/dZ6DticQ
It's been less than 3 months since Qwak (acquired by JFrog) joined JFrog, and it's time to unveil what we're planning for the future! JFrog ML is on a mission to unify DevOps, DevSecOps, and MLOps under one secure platform. In this webinar, we'll talk about deploying models in production, what it takes for the largest companies in the world to use AI, and mostly, what's ahead of us! Ready to see what’s next? 😎 Join me on Wednesday, September 18 at 11AM EDT! Register here → https://lnkd.in/dDMY2Hhj
Great overview from Hudson Buzby at last week's #swampUP 💪 "JFrog ML is intended for #datascientists so they can focus on what they’re good at, which is the math and statistics behind building #machinelearning models. Using JFrog ML, they have a full scale service without having to run after their DevOps team with requests, try to figure out these services on their own, or navigate a cloud vendor. Instead, they have the freedom to implement and iterate very quickly."
🚨 The area of securing your AI-driven apps is one of the hottest subjects right now so among the exciting things happening at JFrog that were shared at #swampUP, I would say their acquisition of Qwak (acquired by JFrog) was the right at the top. 👩🔬 If you're not aware #MLOps is getting a massive focus right now. All of a sudden, Data Scientists are needing to go farther and faster. Models need revisioning, testing and deployment more rapidly than ever. 🐸 New frog via acquisition, Hudson Buzby, walks me through why JFrog acquired them and it couldn't be a better fit. Security in the world of AI needs to be addressed from all angles, just like your Apps and APIs. But AI adds a couple other vectors that need to be addressed, which is what's happening here. 📚 This area is definitely important to learn more about. Stuart Shader Alan Kao F5 NGINX F5 DevCentral #DevOps #DevSecOps
We're less than a week away from the live unveiling of JFrog ML in an upcoming live demo session with Senior Product Manager, Guy Eshet 📣 🐸 Tune in on Wednesday, September 18 at 11AM EDT for a sneak peek into how we're unifying DevSecOps & MLOps capabilities, creating a single AI/ML software supply chain that powers everything from traditional models, to LLMs and GenAI. Register here 👉 https://lnkd.in/dF7Z8Kgy
Big news! Qwak is now officially JFrog ML 🐸🎉 We’re joining JFrog on a mission to unify DevOps, DevSecOps, and MLOps under one secure platform. Ready to see what’s next? 👉 Check us out: https://lnkd.in/exDAJvn3
Missed our recent webinar on how to leverage feature stores in machine learning? No worries - it's now available on-demand! 📽 Dive in to learn how to set up a feature ingestion pipeline, use features for training and inference, and more. Catch up here 👉 https://lnkd.in/dN6kxRXY
Build, Train, Secure, Serve, and Monitor ML Models and GenAI in a Unified Experience 🔐 Get Trusted Models to Production Fast 🤲 Unify Your SSC across AI/ML and Software 🚚 Bring Production Best Practices to AI/ML #MLOps #LLMOps #GenAI #Machinelearning
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🔍 Wondering how to keep your ML features organized and reusable? A feature store can help with that, making your MLOps processes smoother. Check out our blog to learn more about the benefits of feature stores to your workflows: 👉 https://lnkd.in/dahYWB7d #AI #FeatureStores #MachineLearning #MLOps
