Systems | Development | Analytics | API | Testing

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.

ThoughtSpot Everywhere - Build Interactive Data Apps

Create more engaging analytics experiences with search & AI. Businesses today run on apps, and those apps run on data. Too often, however, that data is presented in stale, static dashboards. Users want to be able to surface and explore insights on their own. ThoughtSpot Everywhere is a low-code platform that makes it easy to build interactive data apps or embed search and AI in your existing SaaS apps. And thanks to our flexible APIs, your customers will be able to automatically trigger actions and workflows from the analytical insights they uncover.

Kong Konnect: Maximize Service Reuse, Observability and Manageability

Developer teams need to move faster than ever today and reusing services is a great driver for agility. In this tutorial, you'll learn how to use ServiceHub to enable development teams to search, discover and consume existing services. You'll also learn about Runtime Manager and Vitals for operational metrics of deployed services.

Grifols: Creating Flexibility and Speed through a Unified Data System

Bio pharmaceutical company Grifols is a global leader in producing plasma-derived medicines and transfusion medicine. The COVID-19 pandemic heightened the importance of their work and they needed a flexible, paperless, and unified techincal solution in place. See why they chose Appian for their control management system, and how they've reduced processing times in order to serve patients better.

Getting Started with Kong Konnect in 10 Minutes

In this Kong Konnect tutorial, you'll learn how to get started with Konnect and manage your API ecosystem from a single, easy-to-use interface. We'll cover how to use Konnect Runtime Manager to set up your own Kong Gateway instance in Docker. Then we'll walk through how you can expose, secure and manage your first service using the Konnect ServiceHub. Lastly, we'll publish that API to our developer portal and show how you can share that documentation with your users and developers all within Konnect.