// Abstract:

Analytics are Open.  

According to their nature, Open Source technologies allows an agile development of the models, but it results difficult to put them in production.  The goal of SAS is supporting customers in operationalize analytics  In this meetup,

I present SAS Open Model Manager, a containerized Modelops tool that accelerates deployment processes and, once in production, allows monitoring your models (SAS and Open Source).  

// Bio:

As a member of Pre-Sales CI & Analytics Support Team, I'm specialized in ModelOps and Decisioning. I've been involved in operationalizing analytics using different Open Source technologies in a variety of industries. My focus is on providing solutions to deploy, monitor and govern models in production and optimize business decisions processes. To reach this goal, I work with software technologies (SAS Viya platform, Container, CI/CD tools) and Cloud (AWS).  

//Other Links you can check Ivan on:

https://medium.com/@ivannardini

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https://www.linkedin.com/in/dpbrinkm/

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Timestamps: 0:00 - Intro to Ivan Nardini

3:41 - Operationalize Open Source Models with SAS Open Model Manager slide

4:21 - Agenda

5:01 - What is ModelOps and what is the difference between MLOps and ModelOps?

6:19 - "Do I look like an expert?" Ivan's Background

7:12 - Why ModelOps?

7:20 - Operationalizing Analytics

8:12 - Operationalizing Analytics: SAS

9:08 - Operationalizing Analytics: Customer

11:36 - What's a model for you?

12:07 - Hidden Complexity in ML Systems

12:52 - Hidden Complexity in ML Systems: Business Prospective

14:12 - Hidden Complexity in ML Systems: IT Prospective

17:12 - One of the hardest things is Security?

17:52 - Hidden Complexity in ML Systems: Analytics Prospective

19:20 - Why ModelOps?

20:09 - ModelOps technologies Map

22:29 - Customers ModelOps Maturity over Technology Propensity. MLOps Maturity vs. Technology Propensity

26:23 - Show us your Analytical Models

26:56 - SAS can support you to ship them in production providing Governance and Decisioning.

27:28 - When you talk to people, is there something that you feel like there is a unified model, but focusing on the wrong thing?

29:14 - Have you seen Reproducibility and Governance?

30:47 - Advertising Time

30:55 - Operationalize Open Source Models with SAS Open Model Manager

31:02 - ModelOps with SAS

32:06 - SAS Open Model Manager

33:18 - Demo

33:27 - SAS Model Ops Architecture - Classification Model

35:02 - Model Demo: Credit Scoring Business Application

50:20 - Take Homes

50:24 - Operationalize Analytics  

50:32 - Model Lifecycle Effort Side

51:20 - Business Value Side

51:47 - Typical Analytics Operationalization Graph

52:18 - Analytics Operationalization with ModelOps Graph

53:18 - Is this for everybody?