#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 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
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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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Article Niyaz Khafizov · Jul 27, 2018 4m read

Load a ML model into InterSystems IRIS

Hi all. Today we are going to upload a ML model into IRIS Manager and test it.

Note: I have done the following on Ubuntu 18.04, Apache Zeppelin 0.8.0, Python 3.6.5.

Introduction

These days many available different tools for Data Mining enable you to develop predictive models and analyze the data you have with unprecedented ease. InterSystems IRIS Data Platform provide a stable foundation for your big data and fast data applications, providing interoperability with modern DataMining tools. 

In this series of articles we explore Data mining capabilities available with InterSystems IRIS.

#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #API #Beginner #Best Practices #Big Data #Machine Learning (ML) #Python
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Article David E Nelson · Apr 26, 2019 13m read

A Containerized Machine Learning Playground with InterSystems IRIS Community Edition, Spark, and Zeppelin

The last time that I created a playground for experimenting with machine learning using Apache Spark and an InterSystems data platform,  see Machine Learning with Spark and Caché, I installed and configured everything directly on my laptop: Caché, Python, Apache Spark, Java, some Hadoop libraries, to name a few. It required some effort, but eventually it worked. Paradise. But, I worried. Would I ever be able to reproduce all those steps? Maybe. Would it be possible for a random Windows or Java update to wreck the whole thing in an instant? Almost certainly.

#InterSystems IRIS #Artificial Intelligence (AI) #Beginner #Best Practices #Containerization #Machine Learning (ML)
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Announcement Anastasia Dyubaylo · May 13, 2019

Webinar: Machine Learning Toolkit (Python, ObjectScript, Interoperability, Analytics) for InterSystems IRIS

Hey Community!

The latest webinar, recorded by InterSystems Sales Engineers @Sergey Lukyanchikov and @Eduard Lebedyuk, is already on InterSystems Developers YouTube! Please welcome:

"Machine Learning Toolkit (Python, ObjectScript, Interoperability, Analytics) for InterSystems IRIS" 

 

#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #Interoperability #Machine Learning (ML) #ObjectScript #Python #Video #Webinar
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InterSystems Official Jeff Fried · May 9, 2019

InterSystems IRIS 2019.2 preview

The preview release of InterSystems IRIS 2019.2 is now  available - give it a try!

 

Container images are available via the WRC's preview download site.

The build number for these releases is 2019.2.0.100.0.

InterSystems IRIS Data Platform 2019.2  is the first CD (continuous delivery) release of InterSystems IRIS.  It has many new capabilities including:

  • Addition of the IRIS Native API for Python and Node.js and relational access for Node.
#InterSystems IRIS #InterSystems Official #Artificial Intelligence (AI) #Analytics #API #Node.js #Python #Release #Sharding
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Article Eduard Lebedyuk · Apr 8, 2019 4m read

Should we use computers?

The titular question was quite relevant and often discussed some thirty years ago. The thought went: “Sure, there are industries where computers are the norm, but in my industry we got just fine so far, the benefits are questionable, problems innumerable and unsolved. Can we continue as before or should we embrace this new technology?”

Today, everyone asks the same question but about Machine Learning and Artificial Intelligence. The doubts are the same – lack of expertise, lack of known path, perceived irrelevancy to the industry.

Yet, as before, the correct, even the only possible answer is a resounding yes. Read on to find out why.

#InterSystems IRIS #Artificial Intelligence (AI) #Machine Learning (ML)
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Announcement Anastasia Dyubaylo · Mar 18, 2019

[March 26, 2019] Upcoming Webinar: Machine Learning Toolkit (Python, ObjectScript, Interoperability, Analytics) for InterSystems IRIS

Hi Community!

We are pleased to invite you to the upcoming webinar "Machine Learning Toolkit (Python, ObjectScript, Interoperability, Analytics) for InterSystems IRIS" on 26th of March at 10:00 (Moscow time)!

#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #Interoperability #Machine Learning (ML) #ObjectScript #Python #Webinar
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Article Zhong Li · Mar 14, 2019 10m read

A Deep Learning Demo Kit with Python3 Binding to HealthShare (Part I)

Keywords:  Anaconda, Jupyter Notebook, Tensorflow GPU, Deep Learning,  Python 3 and HealthShare    

1. Purpose and Objectives

This "Part I" is a quick record on how to set up a "simple" but popular deep learning demo environment step-by-step with a Python 3 binding to a HealthShare 2017.2.1 instance .  I used a Win10 laptop at hand, but the approach works the same on MacOS and Linux.

Last week it was noticed that Python overtook Java by becoming the most popular language in PYPL Index  Tensorflow is a powerful computation engine, very popular in research and academic worlds too.

#HealthShare #Artificial Intelligence (AI) #Machine Learning (ML) #Python
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Article Niyaz Khafizov · Oct 8, 2018 16m read

Record linkage using InterSystems IRIS, Apache Zeppelin, and Apache Spark

Hi all. We are going to find duplicates in a dataset using Apache Spark Machine Learning algorithms.

Note: I have done the following on Ubuntu 18.04, Python 3.6.5, Zeppelin 0.8.0, Spark 2.1.1

Introduction

In previous articles we have done the following:

In this series of articles, we explore Machine Learning and record linkage.

#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #Beginner #Machine Learning (ML) #Python #Vector Search
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Question Niyaz Khafizov · Sep 20, 2018

How to save spark dataframe via Spark connector

Hi all.

I want to insert my dataframe into InterSystems IRIS. So, I tried to do this:

df = spark.read.load("/home/imported-openssh-key/zeppelin-0.8.0-bin-all/bin/resultData3/DF.json", format="json")
df.write.format("com.intersystems.spark").\
option("url", "IRIS://localhost:51773/DEDUPL").\
option("user", "********").option("password", "********").\
option("dbtable", "try.test1").save()

And got this error:

Py4JJavaError: An error occurred while calling o80.save.
: java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.
#InterSystems IRIS #Artificial Intelligence (AI) #API #Machine Learning (ML)
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Announcement Benjamin De Boe · Sep 4, 2018

Global Summit 2018 - Make sure you hang out till Wednesday!

We’re now less than a month away from our annual conference, the InterSystems Global Summit. This year, we’ll be descending on the beautiful outskirts of San Antonio, a city worth visiting for its wonderful river walkway and its 18th century Spanish Mission, even if it hadn’t been the location of this year’s InterSystems event. Leaving the tourist guidance to the tourist guides, let’s take a closer look at what the conference has in stock for you, including a dedicated post-summit symposium on AI and ML on Wednesday October 3!

#Summit #Artificial Intelligence (AI) #Analytics #Events #Global Summit 2018 #Machine Learning (ML)
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