Systems | Development | Analytics | API | Testing

Webinar

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.

Simplifying Deployment of ML in Federated Cloud and Edge Environments - MLOPs Live #12 - with AWS

We discuss some common applications for machine learning at the edge and the main challenges associated with deploying distributed cloud and edge applications. We then wrap up the session with a live demo showing how to run a distributed cloud or edge application on Amazon Cloud and Outposts with the Iguazio Data Science Platform.

How Feature Stores Accelerate & Simplify Deployment of AI to Production MLOPs Live #13

The breakdown:

00:00 - Intro
02:15 - MLOps Overview
05:03 - Feature Engineering
07:44 - MLOps Workflow
10:44 - Solution: Feature Store
14:25 - Feature Store Competitive Landscape
17:03 - Features of a Feature Store
21:01 - CTO: Feature Store Sneakpeak
25:55 - Python Code example
27:57 - ML Pipeline example
30:07 - Covid-19 Patient Deterioration
33:26 - LIVE DEMO
52:45 - QA

APIOps for Standardization Without Hindrance (Destination: Scale)

Typically, there are two options to ensuring APIs have the right governance: manual checks or long documentation (or both). There is now a third option in APIOps — integrating your GitOps process with the API lifecycle, automating the enforcement of API standards from design time. This ensures API security, quality, consistency and resiliency across distributed teams at scale, therefore improving productivity for developers and operators whilst reducing risk overall.

The Secret To High Quality Code with Dr. Michaela Greiler and Liran Haimovitch

Delivering high-quality code quickly is the heart and soul of software development. The rise of open-source software has seen the widespread adoption of the Pull-Request (or Merge-Request) method of operation. Using this shift-left-oriented approach, we put our code through the wringer before pushing it into the main line of development. Evaluation of a new piece of code may include code reviews, static analysis, automated testing, and more.

How to get started with chaos engineering (k6 Office Hours)

Chaos engineering and performance testing ultimately have the same goal: improving software reliability. But chaos engineering hasn't really been picked up by many testers yet. Nicole shares her experiences in running her first chaos experiments using k6 and New Relic. k6 Office Hours is a weekly livestream hosted by Nicole van der Hoeven and Simon Aronsson to talk about performance and reliability testing, best practices, and all things k6.

Reasons Why Cloud Migrations Fail & Ways to Succeed

Organizations are moving big data from on-premises to the cloud, using best-of-breed technologies like Databricks, Amazon EMR, Azure HDI, and Cloudera, to name a few. However, many cloud migrations fail. Why? And, how can you overcome the barriers and succeed? Join Chris Santiago, Director of Solution Engineering, as he describes the biggest pain points and how you can avoid them, and make your move to the cloud a success.

Fast Forward Live: Few-Shot Text Classification

Join us for this month's Machine Learning research discussion with Cloudera Fast Forward Labs. We will discuss few-shot text classification - including a live demo and Q&A. This is an applied research report by Cloudera Fast Forward. We write reports about emerging technologies. Accompanying each report are working prototypes or code that exhibits the capabilities of the algorithm and offer detailed technical advice on its practical application.