Systems | Development | Analytics | API | Testing

July 2022

MLOps NYC Summit: Building an Automated ML Pipeline with a Feature Store using Iguazio & Snowflake

Jul 27, 2022 By Iguazio In Iguazio
In this session, we will describe the challenges in operationalizing machine & deep learning. We’ll explain the production-first approach to MLOps pipelines - using a modular strategy, where the different components provide a continuous, automated, and far simpler way to move from research and development to scalable production pipelines. Without the need to refactor code, add glue logic, and spend significant efforts on data and ML engineering.
View Video

Best Practices for Succeeding with MLOps ft. Noah Gift - MLOps Live 18

Jul 21, 2022 By Iguazio In Iguazio
As the MLOps practice matures, there is an accumulation of stories about what works well – and what doesn’t. If you’re building up your enterprise MLOps muscle, instead of trial and error, why not tap into the collective memory of thousands of organizations who have spent the last couple of years building their MLOps practices internally and learn from their experience?
View Video

From AutoML to AutoMLOps: Automated Logging & Tracking of ML - MLOps Live #19

Jul 21, 2022 By Iguazio In Iguazio
In this session of the MLOps Live Webinar series, we discuss building services with ML baked-in, that continuously deliver bottom-line business value, by embracing AutoMLOps. AutoMLOps means automating engineering tasks so that your code is automatically ready for production. In this session, we outline the challenges, describe open-source tools available for Auto-MLOps, and finish off with a live demo.
View Video
iguazio

Build an AI App in Under 20 Minutes

Jul 19, 2022 By Nick Schenone and John Crupi In Iguazio

Machine learning is more accessible than ever, with datasets available online and Jupyter notebooks providing an easy way to explore and train models. In building a model, we often forget that it will be incorporated into an application that will provide value to the user. Therefore, we wanted to demonstrate how we can "use" the models we build in an application.

Read Post

MLOps World Toronto: MLOps Beyond Training Simplifying and Automating the Operational Pipeline

Jul 17, 2022 By Iguazio In Iguazio
Most data science teams start with building AI models and only think about operationalization later. But taking a production-first approach and automating components is the key to generating measurable ROI for the business. In this talk, Iguazio’s co-founder and CTO, Yaron Haviv, explains how to simplify and automate your production pipeline to bring data science to production faster and more efficiently. He displays real live use cases while going through all the different steps in the process.
View Video
iguazio

Top 27 Free Healthcare Datasets for Machine Learning

Jul 13, 2022 By Alexandra Quinn In Iguazio

Machine Learning is revolutionizing the world of healthcare. ML models can help predict patient deterioration, optimize logistics, assist with real-time surgery and even determine drug dosage. As a result, medical personnel are able to work more efficiently, serve patients better and provide higher quality healthcare.

Read Post

Breaking AI Bottlenecks with NetApp + Iguazio + AWS FSx for NetApp ONTAP

Jul 11, 2022 By Iguazio In Iguazio
Teams facing implementation challenges need a way to scale their operational pipelines, continuously roll out AI services faster, support real-time use cases and enable deployment in hybrid environments. The NetApp-AWS-Iguazio integrated FSx solution offers a one-stop-shop from storage to production, with full end-to-end MLOps capabilities—even at scale and in real-time.
View Video

Copyright © 2024 OpsMatters™. All rights reserved.