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[MLOPS] The Clear SHOW - S02E09 - All your "stores" are belong to us!

G. Raffa describes our new arc: We are going to build a "model store" using the open-source MLOps engine! Tell us what you think of his plan in the comments below! ClearML is the only open source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment. ClearML is the foundation of your data science team. Don’t see the functionality you need? Build on top of it in a snap.

Creating an Interactive Developer Portal with GraphQL

In this tutorial, you'll learn how to get to the next level of API documentation using Kong Developer Portal with GraphQL. In my example, I’ll be using Kong Konnect Enterprise Version 2.4, but the version number does not really matter. I also configured my workspace with one service that points to a Star Wars API endpoint with a GraphQL interface (swapi-graphql.netlify.com). We’ll also be using an open source tool called GraphiQL for interactive documentation of a GraphQL endpoint. With GraphiQL, we’ll see requests, responses and automated generation of documentation based on the endpoint.

Appian for Retail

Appian is an enterprise software company that delivers low-code automation to some of the largest organizations in the world, including 2 of the top 3 biggest retailers. Learn how Retailers are using Appian for automation initiatives, including the areas of Merchandising Management, Supply Chain Orchestration, Store Operations, Customer Experience, Safety, Risk & Compliance, and Corporate Systems. For more information, visit appian.com/retail.

The full stack solution for data democratization

Speed and agility are vital in today’s dynamic economy. But moving fast in the dark is dangerous. Decision makers need the insights and guidance they can only get from reliable data. But despite massive efforts from their internal BI teams, getting that data when and how they need it has been problematic.

The day the dashboard died

For more than 20 years, dashboards served as a foundational element of business intelligence, helping leaders visualize and share valuable data across their organization. At inception, dashboards were the perfect vehicle for delivering key report KPIs without data workers needing a background in coding or IT. But much has changed over the last two decades, including the appetite and needs of your business users.