Chat with the Verta team & receive a $100 gift card! How are you organizing your models and ML assets? Tell us and we’ll share how your feedback was integrated into our product. Sign up now: https://t.co/amwrU2aA6X #modelcatalog #ML #MLOps

🔒We’re excited to announce the release of enhanced user management capabilities in Verta— including a new user management interface and advanced roles and permissions. Read the newest updates on the blog: https://t.co/G1GNp2JSyd #Verta #MLOps #ML #AI

Closing thoughts from the panelists Hiring is a big challenge. A great hire is someone with basic model building experience, software engineering, data engineering, and customer empathy There is a lot of real-world learning in MLOps!! @VertaAI #MLOpsSalon #MLOps

Emerging use cases from the panelists: * From numeric to image classification and NLP * Data quality * Data monitoring and observability * End-to-end feature creation @VertaAI #MLOps #MLOpsSalon

Good tips to consider, Model retraining is great, but there is a cost associated with it - Hien Luu @VertaAI #MLOps ##MLOpsSalon

What is the driver for an ML monitoring system? * For the financial industry, it is a must-have - Adam Lieberman * We can not compromise on customer experience - Hien Luu * Introduce the monitoring best practices - Stefan Krawczyk @VertaAI #MLOps #MLOpsSalon#MLMonitoring

Model Registry is critical to know who is building what model. Data Registry is also important - from panelist Adam Lieberman @VertaAI #MLOps ##MLOpsSalon

What scale really means for MLOps? It's not about request per second but rather looking at the human aspects of the model development and enable data science teams to build and manage more models - organizational growth!!! @VertaAI #MLOps ##MLOpsSalon

What MLOPs mean to you. Interesting pointers. * Operationalizing model * Figuring out what's going wrong with the ML model * Provide SWE and DevOps perspectives along the way @VertaAI #MLOps ##MLOpsSalon

Excited for the panel discussion on MLOps at Scale! @VertaAI #MLOps ##MLOpsSalon

Excited to welcome you all to our #MLOpsSalon on "Applying MLOps at Scale"! This will be our recap thread. Join us here 👉 https://t.co/vdsNvaYyhX #MLOps #ML

If you missed the #VertaWebinar, you can catch it on-demand in the link below for the next two weeks. 👇 https://t.co/JMwEnK8sBs

Here's the live recap thread of the #DataAISummit talk by Verta's Cory Johannsen! 👇

Tune in for Cory's fantastic talk in 1 hour!

So thrilled to open the Community Preview for Verta Model Monitoring! We've been working closely with fabulous partners to build these capabilities and excited to see how our solution can solve the broader ML monitoring challenges. Check it out! #mlops #modelmonitoring #verta

I'm so excited to finally share this! People struggle to fit their ML flow needs into their pre-existing system monitoring flow. It's like trying to fit a square peg in a round hole. Not anymore. This is the last missing step of the forward flow for ML. Time to close the loop!

Excited to speak at DevOpsDays Seattle!

Today’s data scientists are often asked “How can you ship models to production faster without breaking things?” Here, our VP Product @meeta_dash discusses the top 3 reasons you need a #ModelRegistry. https://t.co/R4b6ondXUC #MLOps #datascience

In this @forbes article, our VP Product @meeta_dash shares what leaders need to know about #MLOps.

Model monitoring is time-critical and a super relevant topic.