What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see our effort to suggest an “applied” definition) though partitioned across several computers that are not clustered together (neither data-wise, nor via applications, not by providing access to particular computers in principle). I.e., ideally, distributed artificial intelligence should be arranged in such a way that none of the computers participating in that “distribution” have direct access to data nor applications of another computer: the only alternative becomes transmission of data samples and executable scripts via “transparent” messaging. Any deviations from that ideal should lead to an advent of “partially distributed artificial intelligence” – an example being distributed data with a central application server. Or its inverse. One way or the other, we obtain as a result a set of “federated” models (i.e., either models trained each on their own data sources, or each trained by their own algorithms, or “both at once”).

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Purpose

Most CloudFormation articles are Linux-based (no wonder), but there seems to be a demand for automation for Windows as well. Based on this original article by Anton, I implemented an example of deploying a mirror cluster to Windows servers using CloudFormation.I also added a simple walk through.
The complete source code can be found here.

Update: 2021 March 1 I added a way to connect to Windows shell by public key authentication via a bastion host as a one-liner.

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Hello fellow community members,

I would like to offer my services as an Intersystems Professional and am available to work on projects. 

I have more than a decade experience into  Intersystems stack of technologies including IRIS, Ensemble, Healthshare, Healthconnect, Cache Objectscript, Mumps, Zen, Analytics etc. with companies spread over US and UK  involved in multiple domains.

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Hello,

I work on deploying IRIS inside Docker container. I really like %Installer class can automate many steps. I want to establish an ECP connection to a mirror database and then define a remote database on the application server. I have already seen we can create local database and namespace in %Installer. What code is needed to establish ECP connection?

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This article is a continuation of Deploying InterSystems IRIS solution on GKE Using GitHub Actions, in which, with the help of GitHub Actions pipeline, our zpm-registry was deployed in a Google Kubernetes cluster created by Terraform. In order not to repeat, we’ll take as a starting point that:

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Hi All,

With this article, I would like to show you how easily and dynamically System Alerting and Monitoring (or SAM for short) can be configured. The use case could be that of a fast and agile CI/CD provisioning pipeline where you want to run your unit-tests but also stress-tests and you would want to quickly be able to see if those tests are successful or how they are stressing the systems and your application (the InterSystems IRIS backend SAM API is extendable for your APM implementation). 

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Hey Community,

We're pleased to invite all the developers to the upcoming InterSystems IRIS 2020.1 Tech Talk: Speed Under Pressure on July 14 at 10:00 AM EDT! 

In this InterSystems IRIS 2020.1 Tech Talk, we'll learn about the open source Ingestion Speed Test. We will explain:

  • the architecture of the ingestion speed test
  • how we are leveraging Docker containers to run it on our PCs
  • how we are leveraging InterSystems Cloud Manager to easily run it on AWS so we can compare InterSystems IRIS with other databases, such as AWS Aurora 

After this Tech Talk, you'll be able to use the Ingestion Speed Test on InterSystems Open Exchange for your own testing and benchmarking.


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Question
Hansel Gaete · Jun 30, 2020
Iris & Buckets

Hi, someone have connected Iris to a Bucket ? like aws, huawei, etc.

I try to use private Bucket as storage for files, and Iris as database & API interface to manage this files, but al SDKs are in another languages, no one have founded on COS.

I have tested some examples, but with bad results

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AWS has officially released their second-generation Arm-based Graviton2 processors and associated Amazon EC2 M6g instance type, which boasts up to 40% better price performance over current generation Intel Xeon based M5 instances. 

A few months ago, InterSystems participated in the M6g preview program, and we ran a few benchmarks with InterSystems IRIS that showed compelling results. This led us to support ARM64 architectures for the first time.

Now you can try InterSystems IRIS and InterSystems IRIS for Health on Graviton2-based Amazon EC2 M6g instances for yourselves through the AWS Marketplace!

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Hey Developers,

We're pleased to invite you to join the next InterSystems IRIS 2020.1 Tech Talk: Using InterSystems Managed FHIR Service in the AWS Cloud on June 30 at 10:00 AM EDT! 

In this InterSystems IRIS 2020.1 Tech Talk, we’ll focus on using InterSystems Managed FHIR Service in the AWS Cloud. We’ll start with an overview of FHIR, which stands for Fast Healthcare Interoperability Resources, and is a next generation standards framework for working with healthcare data. 

You'll learn how to:

  • provision the InterSystems IRIS FHIR server in the cloud;
  • integrate your own data with the FHIR server;
  • use SMART on FHIR applications and enterprise identity, such as Active Directory, with the FHIR server.

We will discuss an API-first development approach using the InterSystems IRIS FHIR server. Plus, we’ll cover the scalability, availability, security, regulatory, and compliance requirements that using InterSystems FHIR as a managed service in the AWS Cloud can help you address.

       

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Hey Developers,

We're pleased to invite you to join the next InterSystems IRIS 2020.1 Tech Talk: DevOps on June 2nd  at 10:00 AM EDT! 

In this InterSystems IRIS 2020.1 Tech Talk, we focus on DevOps. We'll talk about InterSystems System Alerting and Monitoring, which offers unified cluster monitoring in a single pane for all your InterSystems IRIS instances. It is built on Prometheus and Grafana, two of the most respected open source offerings available.

Next, we'll dive into the InterSystems Kubernetes Operator, a special controller for Kubernetes that streamlines InterSystems IRIS deployments and management. It's the easiest way to deploy an InterSystems IRIS cluster on-prem or in the Cloud, and we'll show how you can configure mirroring, ECP, sharding and compute nodes, and automate it all.

Finally, we'll discuss how to speed test InterSystems IRIS using the open source Ingestion Speed Test. This tool is available on InterSystems Open Exchange for your own testing and benchmarking. 

   

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Hi Community!

We are glad to invite every developer who uses ObjectSript and VSCode plugin to the second webinar hold by the VSCode ObjectScript plugin developer on May 26  at 11:00 EDT. 

You will learn how to develop InterSystems IRIS solutions using GitHub Development Flow with VSCode ObjectScript and Docker.

Speaker: @Dmitriy Maslennikov, InterSystems Developers Advocate, CTO at CaretDev.

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