#Artificial Intelligence (AI)

Episode 17 of Data Points features a roundtable conversation with Carmen Logue, Benjamin De Boe, and Thomas Dyar about the Analytics & AI area of the InterSystems technology stack. Learn from these product experts about the various technologies and partnerships that exist within the Analytics & AI space at InterSystems, how some customers use these tools, and what might be coming in the future.

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”).

Hi Developers, 

Please welcome the new video on InterSystems Developers YouTube:

⏯ Building Health IT Apps with Artificial Intelligence

Hi Community,

Enjoy watching the new session recording from the InterSystems AI+ML Summit 2021:

⏯ AI+ML Summit Convergent Analytics – Healthcare Stream

Hey Developers,

Please welcome the new session recording from the InterSystems AI+ML Summit 2021:

⏯ AI+ML Summit Convergent Analytics – Cross-Industry Stream

Hi Developers!

Please welcome the new video on InterSystems Developers YouTube:

⏯ Embedding AI Services

Hey Community,

We're pleased to invite you to the InterSystems AI+ML Summit 2021, which will be held virtually from January 25 to February 4! Join us for a two-week event that ranges from thought leadership to technical sessions and even 1:1 “Ask the Expert” sessions. 

The sessions will be in both German and English. And this summit is free to attend!

See details below:

Hi Community,

As you may know, this year we're holding InterSystems AI+ML Summit 2021 virtually from January 25 to February 4. All sessions, both in German and English, will be free to attend.

Let's find out more about the exciting sessions that await us and book a virtual seat today!

Check the agenda below:

Artificial intelligence has solved countless human challenges – and medical coding might be next.As organizations prepare for ICD-11, medical coding is about to become more complicated. Healthcare organizations in the United States already manage 140,000+ codes in ICD-10. With ICD-11, that number will rise.Some propose artificial intelligence as a solution. AI could aid computer-based medical coding systems, identifying errors, enhancing patient care, and optimizing revenue cycles, among other benefits.Today, we’re highlighting some of the ways in which artificial intelligence could change

Hi Community,

We're pleased to invite you to the online meetup with the winners of the InterSystems Analytics Contest!

Date & Time: Monday, January 4, 2021 – 10:00 EDT

What awaits you at this virtual Meetup? 

• Our winners' bios.
• Short demos on their applications.
• An open discussion about technologies being used, bonuses, questions. Plans for the next contests.

Hey Developers,

The InterSystems Analytics Contest is over. Thank you all for participating in our exciting coding marathon!

And now it's time to announce the winners! 

A storm of applause goes to these developers and their applications:

Hey Developers,

This week is a voting week for the InterSystems Analytics Contest! So, it's time to give your vote to the best solutions built with InterSystems IRIS.

🔥 You decide: VOTING IS HERE 🔥

How to vote? 

Please meet the new voting engine and algorithm for the Experts and Community nomination:

Hey Developers!

We're pleased to invite you all to the next competition of creating open-source solutions using InterSystems IRIS! Please join:

🏆 InterSystems Analytics Contest 🏆

Duration: December 7 - 27, 2020

Hi Community!

We are pleased to invite all the developers to the upcoming InterSystems Analytics Contest Kick-off Webinar! The topic of this webinar is dedicated to the Analytics contest.

On this webinar, we’ll demo the iris-analytics-template and answer the questions on how to develop, build, and deploy Analytics applications using InterSystems IRIS.

Date & Time: Monday, December 7 — 12:00 PM EDT

Speakers:  
🗣 @Carmen Logue, InterSystems Product Manager - Analytics and AI
🗣 @Evgeny Shvarov, InterSystems Developer Ecosystem Manager

GA releases are now published for the 2020.3 version of InterSystems IRIS, IRIS for Health, with IntegratedML!

Hi Community,

See how IntegratedML can leverage DataRobot — a best-in-class, third-party machine learning platform — to make predictions on a set of data:

⏯ Using IntegratedML with DataRobot

Hi Community,

See how IntegratedML in InterSystems IRIS can be used to make machine learning predictions directly from SQL commands:

⏯ IntegratedML in a Nutshell

Keywords: COVID-19, Medical Imaging, Deep Learning, PACS Viewer, and HealthShare.

Purpose

We are all gripped by this unprecedented Covid-19 pandemic. While supporting our customers in battlefields by any means, we also observed various fighting fronts against Covid-19 by leveraging today's AI powers. 

Keywords:  IRIS, IntegratedML, Flask, FastAPI, Tensorflow Serving, HAProxy, Docker, Covid-19

Purpose:

Keywords:  IRIS, IntegratedML, Machine Learning, Covid-19, Kaggle 

Purpose

Recently I noticed a Kaggle dataset  for the prediction of whether a Covid-19 patient will be admitted to ICU.  It is a spreadsheet of 1925 encounter records of 231 columns of vital signs and observations, with the last column of "ICU" being 1 for Yes or 0 for No. The task is to predict whether a patient will be admitted to ICU based on known data.

ML Toolkit for InterSystems IRIS, besides Python/R/Julia, allows orchestrating cloud-based advanced analytics services, such as Microsoft Azure Data Factory and Machine Learning:

This is the third post of a series explaining how to create an end-to-end Machine Learning system.

Training a Machine Learning Model

When you work with machine learning is common to hear this work: training. Do you what training mean in a ML Pipeline? Training could mean all the development process of a machine learning model OR the specific point in all development process that uses training data and results in a machine learning model.

Source

So Machine Learning Models are not equal Common Applications?

Hi Community!

We're pleased to invite you to the Online Meetup with the Winners of the InterSystems IRIS AI Programming Contest!

Date & Time: Friday, July 24, 2020 – 11:00 EDT

What awaits you at this virtual Meetup? 

• Our winners' bios.
• Short demos on their applications.
• A short interview with all the winners about the past contest. Plans for the next contests.

Hi Developers!

The InterSystems IRIS AI Contest is over. Thank you all for participating in our IRIS AI Competition!

And now it's time to announce the winners! 

A storm of applause goes to these developers and their applications:

This is my introduction to a series of posts explaining how to create an end-to-end Machine Learning system.

Starting with one problem

Our IRIS Development Community has several posts without tags or wrong tagged. As the posts keep growing the organization of each tag and the experience of any community member browsing the subjects tends to decrease.

First solutions in mind

We can think some usual solutions for this scenario, like:

• Take a volunteer to read all posts and fix the mistakes.
• Pay a company to fix all mistakes.
• Send an email to each post writer to review the texts from past.

My Solution

Sapphire has CSV import, create and train IntegratedML model and I will create more features. See the pool. Check sapphire in https://openexchange.intersystems.com/package/SAPPHIRE

Hey Developers!

This week is a voting week for the InterSystems IRIS AI Programming Contest!

So, it's time to give your vote to the best AI- and ML-enabled solution on InterSystems IRIS!

🔥 You decide: VOTING IS HERE 🔥

How to vote? This is easy: you will have one vote, and your vote goes either in Experts Nomination or in Community Nomination.

Hi Developers,

Please welcome the new video, specially recorded by @José Pereira for the InterSystems IRIS AI Programming Contest: 

⏯ Monitoring your ML model with IntegratedML

Hi Community,

Please welcome the new video, specially recorded by @Renato Banzai for the InterSystems IRIS AI Programming Contest: 

⏯ IRIS ML Suite Demo

Following up the previous part, it's time to take advantages for IntegratedML VALIDATION MODEL statement, to provide information in order to monitor your ML models. You can watch it in action here

The code presented here was derived from examples provided by either InterSystems IntegragedML Template or IRIS documentation, my contribution was mainly mashing up such codes. It's a simple example intended to be a start for discussions and future works.