Machine learning models need updating - what's the reliable way to do it? While in Romania, Richard sat down with Annie Talvasto to talk about her work helping to build DevOps practices around machine learning: Building repeatable processes for data ingestions, cleaning, organization, model building, and deployment. The challenges are the arrays of skilled p ... Show More
Jul 8
Implementing Azure Policies with Barbara Forbes
How can Azure Policies help you? While at Techorama in Belgium, Richard sat down with Barbara Forbes to discuss how Azure Policies have evolved and the techniques sysadmins are using to improve security, cost controls, efficiency, and more. Barbara talks about how the default pol ... Show More
35m 42s
Sep 2021
Declarative Machine Learning Without The Operational Overhead Using Continual
<div class="wp-block-jetpack-markdown"><h2>Summary</h2>
<p>Building, scaling, and maintaining the operational components of a machine learning workflow are all hard problems. Add the work of creating the model itself, and it’s not surprising that a majority of companies th ... Show More
1h 11m
Jan 2025
The Role of Analytics in Shaping the Future of MLOps
<p dir="ltr">Sophia Rowland, Senior Product Manager at SAS, discusses her journey from data science to product management at SAS, focusing on the integration of AI and analytics. She explains the concepts of Model Ops and ML Ops, the challenges organizations face in operationaliz ... Show More
32m 42s