Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Iguazio Product tutorial 2021
The Iguazio Data Science Platform enables you to develop, deploy and manage real-time AI applications at scale. It provides data science, data engineering and DevOps teams with one platform to operationalize machine learning and rapidly deploy operational ML pipelines. The platform includes an online and offline feature store, fully integrated with automated model monitoring and drift detection, model serving and dynamic scaling capabilities, all packaged in an open and managed platform.
Fast Forward Live: Session-based Recommender Systems
Join us live with Fast Forward Labs to discuss the recently possible in Machine Learning and AI. Being able to recommend an item of interest to a user (based on their past preferences) is a highly relevant problem in practice. A key trend over the past few years has been session-based recommendation algorithms that provide recommendations solely based on a user’s interactions in an ongoing session, and which do not require the existence of user profiles or their entire historical preferences. This report explores a simple, yet powerful, NLP-based approach (word2vec) to recommend a next item to a user. While NLP-based approaches are generally employed for linguistic tasks, here we exploit them to learn the structure induced by a user’s behavior or an item’s nature.
Accelerating Data Science to Production with MLOps Best Practices
Accelerating Data Science to Production with MLOps Best Practices
Expert Panel: AI for Connected Vehicles
In this panel, experts from NetApp, NVIDIA, Strategy Analytics and Iguazio will discuss the main use cases, and also examine the challenges and solutions that exist for building AI applications for connected vehicles.
End-to-End MLOps Demo of the Iguazio Feature Store
Easily engineer online and offline features, share them across teams and ML applications with minimal development and integration effort. Find out how in this demo.
AWS & Iguazio Bring Data Science to Life: Develop on SageMaker | Deploy on Iguazio
Learn more about the joint AWS & Iguazio solution: https://www.iguazio.com/partners/aws/
Start working with MLRun, the open-source MLOps orchestration framework: https://github.com/mlrun/mlrun
Automated Model Management for CPG Trade Effectiveness
In this webinar, we will talk about enterprise scale, fully automated MLOps solutions for Trade Promotions, looking into the impact this can create for CPG companies, through a real-world example.
Automating and Governing AI over Production Data on Azure - MLOPs Live #14 w/Microsoft
Many enterprises today face numerous challenges around handling data for AI/ML. They find themselves having to manually extract datasets from a variety of sources, which wastes time and resources. In this session, we discuss end-to-end automation of the production pipeline and how to govern AI in an automated way. We touch upon setting up a feedback loop, generating explainable AI and doing all of this — at scale.
Industrializing Enterprise AI with the Right Platform - MLOps Live #9 - With NVIDIA
We discuss how enterprises need a platform that brings together tools to streamline data science workflow with leading edge infrastructure that can tackle the most complex ML models — one that can bring innovative concepts into production sooner, integrated within your existing IT/DevOps-grounded approach.