LIVE DEMO - Scalable MLOps With Snowflake and DataRobot - 24 June 2021

 

Live Demo: Scalable MLOps With Snowflake and DataRobot June 24, 2021 | 10:00 AM PT | 1 Hour Register now Organizations of all sizes continue to invest in machine learning to improve upon a variety of revenue drivers and operational efficiencies, but many of these initiatives struggle to go beyond proof of concept. Join us to see first-hand how Snowflake and DataRobot can provide a scalable and repeatable path to production with an integrated solution for model deployment and monitoring that leverages the power of the cloud.  In this demo you'll see how to: Incorporate third party data from Snowflake Data Marketplace into your models Prepare data and perform feature engineering using Snowpark Train and evaluate a predictive housing prices model using DataRobot Deploy and monitor models in production Register now

WEBINAR: Ten Keys to AI Success in 2021 24 February 2021

 

Ten Keys to AI Success in 2021 February 24th, 2021 | 11:00 am EST - 45 min including Q&A Register for the webinar The potential business benefits of AI are immense. As PWC predicts "AI could contribute up to $15.7 trillion to the global economy in 2030", but it would be a mistake to think that adopting AI is without its challenges. Join our webinar, Top 10 Keys to AI Success in 2021. Find out how business leaders across industries saved time and improved accuracy by using AI, resulting in reduced costs and increased overall ROI. In this webinar, you will learn how to: Optimize and automate AI to deliver ROI for your business Implement an MLOps strategy and infrastructure that operationalizes, monitors, and governs your entire machine learning lifecycle Get more accurate results 10x faster by automating the key stages of production machine learning Democratize AI with education programs that create citizen data scientists Identify common pitfalls and mistakes made when deploying AI into production Register

WEBINAR: Scale ML Innovation on AWS with Kubeflow and SageMaker 7 October 2020

 

Sponsored News from Data Science Central

OCTOBER 7 | 11 AM PT | 2 PM ET Join Provectus and AWS as we explain how to build an end-to-end infrastructure for machine learning using Kubeflow and SageMaker, and show why MLOps and reproducible ML are key to enabling the delivery of ML-driven innovation at scale that results in: Faster time to market of ML-based solutions More rapid rate of experimentation and innovation Assurance of quality, trustworthiness, and ethical AI At the webinar, we will also discuss what goes into building such fundamental components of ML infrastructure as a reusable feature store, reproducible experimentation and model training pipelines, CI/CD for MLOps, and production monitoring and model re-training. This webinar is ideal for IT decision-makers, data scientists, and DevOps engineers. It is illustrated with real-world case studies. RESERVE YOUR SEAT Can’t make it to the webinar? Register anyway anyway to receive a link to the recorded session once it’s available.