#Artificial Intelligence (AI)

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Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

Learn more.

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Announcement Anastasia Dyubaylo · Apr 16, 2020

InterSystems IRIS 2020.1 Tech Talk: Data Science, ML & Analytics

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 IntegratedMLTM 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.

#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #Events #IntegratedML #Machine Learning (ML) #SQL #Webinar
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Announcement Eduard Lebedyuk · Apr 10, 2020

JuliaGateway 0.5 released

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

Julia Gateway is a community project, available on OpenExchange

#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #Machine Learning (ML)
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Article Niyaz Khafizov · Jul 6, 2018 3m read

The way to launch Apache Spark + Apache Zeppelin + InterSystems IRIS

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

What is Apache Spark and Apache Zeppelin and find out how it works together. Apache Spark is an open-source cluster-computing framework. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. So, it is very useful when you need to work with Big Data.

#Archive #InterSystems IRIS #Artificial Intelligence (AI) #Beginner #Best Practices #Big Data #Machine Learning (ML)
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Announcement James Breen · Aug 30, 2018

Machine Learning 101 Presentation

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. 

#Other #Artificial Intelligence (AI) #Machine Learning (ML) #Video #Webinar
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Announcement Sergey Lukyanchikov · Jan 22, 2020

ML Toolkit can now use IntegratedML

InterSystems IRIS ML Toolkit adds the power of InterSystems IntegratedML to 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.

Automated classification modeling in InterSystems IRIS ML Toolkit

#InterSystems IRIS #Artificial Intelligence (AI) #Convergent Analytics #IntegratedML #Machine Learning (ML)
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Article Eduard Lebedyuk · Apr 23, 2019 1m read

Python Gateway Part II: Installation

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).

#InterSystems IRIS #Artificial Intelligence (AI) #Languages #Machine Learning (ML) #Python
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Announcement Eduard Lebedyuk · Oct 3, 2019

[November 7, 2019] Webinar: AI Robotization (Python, R, Interoperability) for InterSystems IRIS

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!

 

#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #Business Process (BPL) #Framework #Machine Learning (ML)
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Announcement Eduard Lebedyuk · Sep 12, 2019

Python Gateway 0.8 release

I'm happy to announce the latest Python Gateway release.

This is not an InterSystems product, it is community supported open source project.

Download new release from GitHub.

Now for the new features.

Fast transfer. Pass globals, classes and tables from InterSystems IRIS to Python with ease and speed (10x faster than old QueryExecute). Documentation.

Proxy Gateway allows generation of ObjectScript classes for Python classes. Instantinate objects, call object and class methods using familiar ObjectScript code (docs).

set module = "random"
set sc = ##class(isc.py.gw.Generator).
#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #Machine Learning (ML) #Python #Release
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Announcement Jacquie Clermont · Sep 9, 2019

Five Experiences to Choose from at Global Summit

Hi Community:

Interested in getting hands-on with our technology? Come to Global Summit, where you'll find five experiences to choose from in the Experience Lab:

  • The Machine Learning Toolkit on OpenExchange

  • The Next Evolution of APIs

  • Working with the FHIR Resource Repository

  • Using AI Services to Build Intelligent Apps

  • Containerizing Apps with InterSystems IRIS

If you've never tried these out, Experiences are guided exercises in which you engage with our technology. Each Experience starts with a brief introduction outlining a particular task. Then you complete the task on your own laptop.

#Summit #Artificial Intelligence (AI) #API #Containerization #FHIR #Global Summit 2019 #Machine Learning (ML)
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Article Eduard Lebedyuk · Apr 12, 2019 1m read

Python Gateway Part I: Introduction

This series of articles would cover Python Gateway for InterSystems Data Platforms. Leverage modern AI/ML tools and 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

Index

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

#InterSystems IRIS #Artificial Intelligence (AI) #Best Practices #Languages #Machine Learning (ML) #Python
Open Exchange
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Article Zhong Li · Mar 15, 2019 15m read

Run A Deep Learning Demo with Python3 Binding to HealthShare (Part II)

Keywords:   Jupyter Notebook, Tensorflow GPU, Keras, Deep Learning, MLP,  and HealthShare    

1. Purpose and Objectives

In  previous"Part I" we have set up a deep learning demo environment. In this "Part II" we will test what we could do with it.

Many people at my age had started with the classic MLP (Multi-Layer Perceptron) model. It is intuitive hence conceptually easier to start with.

So let's try a Keras "deep learning MLP" with standard demo data that everybody in AI/NN community has been using. It is a kind of so called "supervised learning".

#HealthShare #Artificial Intelligence (AI) #Beginner #Machine Learning (ML) #Python
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Announcement Benjamin De Boe · May 30, 2019

Wanted: Analytics UX design reviewers

Hi,

While we're working on a new data product supporting the analytics development process, we'd like to test some of the UX (User eXperience) design elements on a real audience. If you've got some battle scars from earlier analytics work and are interested in participating, please complete this survey and we'll get in touch when we have something to show!

Feel free to share this survey with your data-savvy friends and colleagues if you think they match the profile.

Thanks in advance for your participation!

#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #Machine Learning (ML)
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Article Andreas Schneider · Feb 22, 2017 2m read

Using InterSystems Caché and Apache Zeppelin

I' have done some tests with Caché and Apache Zeppelin. I want to share my experince to use both systems together. I'll try to describe all steps that are required to config Zeppelin to connect to Caché.
 

What is  Apache Zeppelin?

For all who think: What the heck is Apache Zeppelin?, here some details what the project site (http://zeppelin.apache.org) says:

"A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

#Caché #Artificial Intelligence (AI) #Analytics #Best Practices #Tools #UI Development
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