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Appian Community Edition is Here!

Appian is excited to announce the launch of Appian Community Edition! Appian Community Edition is our free version of the Appian Low-Code Automation Platform for Appian Community members who want to learn how to build business applications or improve their skills. Appian Community Edition provides hands-on experience for everyone, including developers, IT professionals, automation professionals, university students, prospective customers, current Appian customers, and Appian partners.

3 Reasons Extract, Load & Transform is a Bad Idea

Extract, Load, Transform (ELT) technology makes it easy for organizations to pull data from databases, applications, and other sources, and move it into a data lake. But companies pay for this convenience in many ways. ELT solutions can have a negative impact on data privacy, data quality, and data management.

Building a Single Pipeline for Data Integration and ML with Azure Synapse Analytics and Iguazio

Across organizations large and small, ML teams are still faced with data silos that slow down or halt innovation. Read on to learn about how enterprises are tackling these challenges, by integrating with any data types to create a single end-to-end pipeline and rapidly run AI/ML with Azure Synapse Analytics with Iguazio.

Get a Complete View of Salesforce Data with MongoDB

Teri will show you how you can incorporate Salesforce (relational data) into a MongoDB collection (non-relational data) to give your customers a unified customer experience. The webinar will focus on the piece of the puzzle where we read Salesforce data and format it into the shape needed to go into a Mongo collection (a collection is the term MongoDB uses for a data set like a table in a relational database). We’re showcasing the ability to go back and forth from NoSQL to SQL for a unified customer experience.

Build/Buy in MLOPs for R&D Does "off-the-shelf" exist yet?

What kind of tools and infrastructure does a company need in order to build, train, validate and maintain data-based models as part of products? The straight answer is - “it depends.” The longer one is: “MLOps.” It is far too early to determine the “best” patterns and workflows for Data-Science, Machine- and Deep-Learning products. Yet, there are numerous examples of successful deployments from businesses both big and small.

Comprehending ClearML and MLOps - Enabling the New A-Z (ODSC East '21)

ClearML is an industry leading MLOps suite, fully open source and free in the best sense. Designed to ease the start, running and management of experiments and orchestration for every day practitioners, we will also see how it provides a clear path to deployment. Starting with a high level overview of the parts built into ClearML, we will then journey into what is and also, importantly, what is not part of ClearML's mandate. Along the way we will demonstrate how-to integrate into your PyTorch code, as well as the capabilities of reporting and possible workflows that could be made easier by pipeline usage.

[MLOps] The Clear SHOW - S02E10 - Everything You Wanted To Know About Model Stores*

Ariel (ft. G. Raffa) discusses the reasoning behind model stores, why you might want to build one, and reviews a model store library vs. ClearML to understand what needs to be built "on top" of our open-source MLOps Engine. + Operator AI 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.