A few months ago, I read this interesting article from MIT Technology Review, explaing how COVID-19 pandemic are issuing challenges to IT teams worldwide regarding their machine learning (ML) systems.

Such article inspire me to think about how to deal with performance issues after a ML model was deployed.

I simulated a simple performance issue scenario in an Open Exchange technology example application - iris-integratedml-monitor-example, which is competing in the InterSystems IRIS AI Contest. Please, after read this article, you can check it out and, if you like it, vote for me! :)

Content

Hey Developers,

New "Coding Talk" video was specially recorded by @Yuri Marx for the InterSystems IRIS AI Programming Contest: 

⏯ SAPPHIRE - AutoML UI to InterSystems IntegratedML

Hey Developers! 

Join our next competition in creating open-source solutions using InterSystems IRIS Data Platform! Please welcome:

➡️ InterSystems IRIS AI Programming Contest ⬅️

Duration: June 29 – July 19, 2020. 

Hi everyone. 
We are a team of company  "Constructor" and we develop cutting edge cartographic systems. Recently the amount of image data skyrocketed so we want to give our users the ability to tie images to places automatically. For that, we want to use AI/ML technologies and we have a cool task for you.

https://cloud.mail.ru/public/pHbC/4r7Z58m6f/

Hi Developers!

Here in Developers Community, we have posts, which are categorized by tags. Tags - are specific topics, which relate to InterSystems products, InterSystems services, or any concept related to software development, deployment, or maintenance etc. 

Tag is a helpful thing because it gives the option to follow/subscribe to the tag, filter the search by the tag,  understand how popular or not unpopular the topic and more.

And we have a problem!

Actually two problems. The tags for the post are selected by the author of the post, and we have the following issues: the author chooses wrong tags for a post, and the post lacks proper tags.

And we think this problem could be solved with AI/ML approach and so we suggest you solve it during the InterSystems IRIS AI Contest.

Hi Community!

We are pleased to invite all the developers to the upcoming  InterSystems AI Programming Contest Kick-Off Webinar! The topic of this webinar is dedicated to the InterSystems IRIS AI Programming Contest.

On this webinar, we will talk and demo how to use IntegratedML and PythonGateway to build AI solutions using InterSystems IRIS.

Date & Time: Monday, June 29 — 11:00 AM EDT

Speakers:  
🗣 @Thomas Dyar, Product Specialist - Machine Learning, InterSystems 
🗣 @Eduard Lebedyuk, Sales Engineer, InterSystems

Hi developers!

We are starting InterSystems AI Programming Contest next week, and according to the rules, you can include some technology IRIS Features into your solutions, which will give you extra points in the voting.

Here are the technology bonuses for InterSystems AI Programming Contest!

1. IntegratedML usage - 2 expert vote points

IntegratedML is a new technology Introduced in InterSystems IRIS which you can use with InterSystems IRIS 2020.2 Advanced Analytics Preview release. IntegratedML:

• Gives users the ability to create, train, and deploy powerful models from simple SQL syntax without requiring data scientists.
• Wraps "best of breed" open source and proprietary "AutoML" frameworks including DataRobot.
• Focuses on easy deployment to IRIS, so you can easily add machine learning to your applications.

Learn more in IntegratedML Resource Guide.

You can use with IntegratedML template.

2. Python Gateway usage - 1 expert vote point

Python Gateway is an addon to InterSystems IRIS which gives you the way to use Python in InterSystems IRIS environment:

• Execute arbitrary Python code.
• Seamlessly transfer data from InterSystems IRIS into Python.
• Build intelligent Interoperability business processes with Python Interoperability Adapter.
• Save, examine, modify and restore Python context from InterSystems IRIS.

Learn more about Python Gateway.

You can use the Python Gateway template, which includes IntegratedML too.

3. Docker container - 1 expert vote point

The application gets a 'Docker container' bonus if it uses InterSystems IRIS  running in a docker container. 

Both templates, IntegratedML template and  Python Gateway template use docker so you can collect this bonus if you build your solution using these templates.

Or you can use any other Docker-based templates, published on Open Exchange.

Feel free to ask any questions about using the listed technologies.

Good luck in the competition!

In 2017, Forbes published an article talking about API Economy (see: https://www.forbes.com/sites/louiscolumbus/2017/01/29/2017-is-quickly-b…). This article was the trigger to popularize the use of API and API Management by large companies. The article published a maturity model. My understanding is that Intersystems IRIS allows you to reach the top of the pyramid with your current technologies. See the figure above.For this it is important to combine % CSP.REST package, IRIS API Manager (IAM), ML Pack and IntegratedML, Native API for Python, BPL and

Keywords:  PyODBC, unixODBC, IRIS, IntegratedML, Jupyter Notebook, Python 3

Purpose

A few months ago I touched on a brief note on "Python JDBC connection into IRIS", and since then I referred to it more frequently than my own scratchpad hidden deep in my PC. Hence, here comes up another 5-minute note on how to make "Python ODBC connection into IRIS".

ODBC and PyODBC seem pretty easy to set up in a Windows client, yet every time I stumbled a bit somewhere on setting up an unixODBC and PyODBC client in a Linux/Unix-style server.

Hi everyone! If it doesn't bother you, could you help me teach my bots to talk?

Open my chatbot here: Help my chatbots to talk!

What? Aren't your chatbots smarts?

Smart isn't the best term for this scenario. They are trained but with little data! Most of chatbot solutions uses Machine Learning to create a way to talk with people and Machine Learning needs one important thing to performs well: DATA. 

How does it work?

Creating a Chatbot with IRIS and Python

In this article I'm going to show how to integrate the InterSystems IRIS Database with Python to serve a Machine Learning Model of Natural Language Processing (NLP).

Why Python?

With a large adoption and use in the world, Python have a great community and a lot of accelerators | libraries to deploy any kind of application. If you are curious (https://www.python.org/about/apps/).

Iris Globals

Preview releases are now available for InterSystems IRIS Advanced Analytics, and InterSystems IRIS for Health Advanced Analytics! The Advanced Analytics add-on for InterSystems IRIS introduces IntegratedML as a key new feature.

The build number for these releases is: 2020.3.0AA.331.0

Full product installation kits, container images, and evaluation license keys are available via the WRC's preview download site.

Community Edition containers can also be pulled from the Docker store using the following commands:

Hi Developers,

New to machine learning? Watch this video on InterSystems Developers YouTube to understand the basic concepts of machine learning and how it provides value in applications around the world today: 

⏯ What is Machine Learning?

Hey Developers,

We're pleased to invite you to the "Best practices of in-platform AI/ML" webinar by InterSystems on April 28th at 11:00 EST/17:00 CET.

Hi Community,

We're pleased to invite you to join the upcoming InterSystems IRIS 2020.1 Tech Talk: Data Science, ML & Analytics on April 21st at 10:00 AM EDT!

In this first installment of InterSystems IRIS 2020.1 Tech Talks, we put the spotlight on data science, machine learning (ML), and analytics. InterSystems IntegratedML^TM brings automated machine learning to SQL developers. We'll show you how this technology supports feature engineering and chooses the most appropriate ML model for your data, all from the comfort of a SQL interface. We'll also talk about what's new in our open analytics offerings. Finally, we'll share some big news about InterSystems Reports, our "pixel-perfect" reporting option. See how you can now generate beautiful reports and export to PDF, Excel, or HTML.

Hi Developers,

Please welcome a new video on InterSystems Developers YouTube Channel:

⏯ Machine Learning 201: Deep Learning

Hey Developers,

We're pleased to invite you to the upcoming webinar "Best Practices of In-Platform AI/ML" by InterSystems on April 3rd at 10:00 (UTC+3, Moscow time)!

I'm happy to announce the release of the interface to Julia programming language for InterSystems IRIS. Execute Julia code and more from InterSystems IRIS. This project brings you the power of Julia right into your InterSystems IRIS environment:

• Execute arbitrary Julia code
• Seamlessly transfer data from InterSystems IRIS into Julia
• Build intelligent Interoperability business processes with Julia Interoperability Adapter
• Experiment in Julia Shell, right inside your InterSystems IRIS terminal

Hi all. Yesterday I tried to connect Apache Spark, Apache Zeppelin, and InterSystems IRIS. During the process, I experienced troubles connecting it all together and I did not find a useful guide. So, I decided to write my own.

Introduction

Hi Community,

The new video from Global Summit 2019 is already on InterSystems Developers YouTube:

⏯ AI and Machine Learning Roundtable

Dear Community, 

We're pleased to invite you to "ConferencIA", a conference about data and AI, which will take place on February 20 in Madrid, Spain!

At the event, both InterSystems experts and external thought leaders will share success stories and real projects, where AI is already a reality.

Hi Community,

Enjoy watching the new video on InterSystems Developers YouTube Channel:

⏯ Machine Learning 301: Learning from Text

View Machine Learning 101 recording at: https://videos.intersystems.com/detail/video/5827774460001/machine-learning-101?autoStart=true&q=machine%20learning.

In addition to our webinar on machine learning (https://community.intersystems.com/post/rescheduled-webinar-its-machine-learning-not-rocket-science-july-31-1100-am-edt), we are pleased to announce a basic introduction to machine learning presentation that provides an overview of the basic algorithms by @Don Woodlock, InterSystems VP of HealthShare Platforms. 

InterSystems IRIS ML Toolkit adds the power of InterSystems IntegratedMLto further extend convergent scenario coverage into the area of automated feature and model type/parameter selection. The previous "manual" pipelines now collaborate within the same analytic process with "auto" pipelines that are based on automation frameworks, such as H2O.

Hi Community,

Please welcome the new video on InterSystems Developers YouTube Channel:

⏯ Operationalizing "Machine Learning" Experiences From the Field

Hi Community, we would like to share the news about the "Bell State" example (a compact quantum computing program) automated using our ML Toolkit with a Rigetti QVM running in the background: 

Hi Community,

The new video from Global Summit 2019 is already on InterSystems Developers YouTube:

⏯ InterSystems IRIS Roadmap: Analytics and AI

This series of articles would cover Python Gateway for InterSystems Data Platforms. Execute Python code and more from InterSystems IRIS. This project brings you the power of Python right into your InterSystems IRIS environment:

• Execute arbitrary Python code
• Seamlessly transfer data from InterSystems IRIS into Python
• Build intelligent Interoperability business processes with Python Interoperability Adapter
• Save, examine, modify and restore Python context from InterSystems IRIS

Other articles

The plan for the series so far (subject to change).

We're back with more AI, more ML and more presenters!

We are pleased to invite you to the upcoming webinar in English: AI Robotization (Python, R, Interoperability) for InterSystems IRIS on November 7 at 11:00 EST!

Hi Everyone!

We are pleased to invite you to the upcoming webinar "Master Data Management and Your Enterprise" on 3rd of September at 11:00 EDT!