#Artificial Intelligence (AI)

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.

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.

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" 

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.

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.

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)!

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.

Hi Community!

New session recording from Global Summit 2018 is available on InterSystems Developers YouTube Channel:

An Outlook on Scaling Out

Hi Community!

Please welcome a new video on InterSystems Developers YouTube Channel:

Alexa: Connect Me with the World of IoT

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:

• The way to launch Jupyter Notebook + Apache Spark + InterSystems IRIS
• Load a ML model into InterSystems IRIS
• K-Means clustering of the Iris Dataset
• The way to launch Apache Spark + Apache Zeppelin + InterSystems IRIS

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

Hi Community!

New video "Choosing a Shard Key" is available now on  InterSystems Developers YouTube:

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$.

Bring your laptop to the Experience Lab on Global Summit 2018 and engage with our technologies in a whole new way!

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 18^th 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!

Hi Community!

Please welcome a new video on InterSystems Developers YouTube:

Deploying Shards Using the API

Hi Community!

New video "Deploying Shards Using InterSystems Cloud Manager" is available now on  InterSystems Developers YouTube:

Hi Everyone!

Very soon, almost every product and application will include artificial intelligence (AI).

On the afternoon of Wednesday, October 3, at the Global Summit 2018  in San Antonio we’re pulling together experts from InterSystems and from the front lines of the AI industry to discuss the current and future state-of-the-art for AI solutions. 

Learn more about our Post-Summit Symposium: Artificial Intelligence and Machine Learning.

In a single server environment, it is rather easy to create a transaction consistent backup.

Simplified:
You find (or force a specific point in time with no open transactions.
Freeze your server, take a snapshot and you are done.

Hi Everybody!

The previous webinar rescheduled due to technical issues.

We are pleased to invite you again to the live webinar "It’s Machine Learning, Not Rocket Science!" on 31st of July at 11:00 a.m. EDT!

Hi Everyone!

Enjoy a new video on InterSystems Developers YouTube Channel:

Elements of Sharding

The recording of Anton Umnikov's It's Machine Learning, Not Rocket Science! webinar is now available on learning.intersystems.com. 

In it, Anton provides a great, high-level introduction to machine learning and shows why you don't need to be a "unicorn" data scientist to start using machine learning to your advantage! 

Watch it now

Hi all. Today we are going to use k-means algorithm on the Iris Dataset.

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

Introduction

K-Means is one of the simplest unsupervised learning algorithms that solves the clustering problem. It groups all the objects in such a way that objects in the same group (group is a cluster) are more similar (in some sense) to each other than to those in other groups. For example, assume you have an image with a red ball on the green grass. K-Means will split all pixels into two clusters.

Hi Everybody!

We are pleased to invite you to the upcoming live webinar "It’s Machine Learning, Not Rocket Science!" on 19th of July at 11:00 a.m. EDT!

Hi Everybody!

We are pleased to invite you to the upcoming  webinar "It's just machine learning, not quantum physics!" on 22th of June at 14:00 (Moscow time)!

Hi Everybody!

We are pleased to invite you to the upcoming webinar "Sharding as the basis of Scaling in InterSystems IRIS Data Platform" on 24th of July at 10:00 (Moscow time)!

With the release of InterSystems IRIS, we're also making available a nifty bit of software that allows you to get the best out of your InterSystems IRIS cluster when working with Apache Spark for data processing, machine learning and other data-heavy fun. Let's take a closer look at how we're making your life as a Data Scientist easier, as you're probably already facing tough big data challenges already, just from the influx of job offers in your inbox!

Hi Everyone!

New session recording from Global Summit 2017 is already on InterSystems Developers YouTube:

Predicting Your Manhattan Cab Ride Fare

Last week, we announced the InterSystems IRIS Data Platform, our new and comprehensive platform for all your data endeavours, whether transactional, analytics or both. We've included many of the features our customers know and loved from Caché and Ensemble, but in this article we'll shed a little more light on one of the new capabilities of the platform: SQL Sharding, a powerful new feature in our scalability story.

Hi, Community! 

 Check a new session recording from Global Summit 2017:

iKnow What You'll Do Next Summer

Last week saw the launch of the InterSystems IRIS Data Platform in sunny California.

For the engaging eXPerience Labs (XP-Labs) training sessions, my first customer and favourite department (Learning Services), was working hard assisting and supporting us all behind the scene.

Before the event, Learning Services set up the most complicated part of public cloud :) "credentials-for-free" for a smooth and fast experience for all our customers at the summit.