#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.

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Article Benjamin De Boe · Jan 31, 2018 4m read

Introducing the InterSystems IRIS Connector for Apache Spark

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!

#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #Big Data #Distributed Data Management #Java #Machine Learning (ML) #Sharding
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Article Benjamin De Boe · Sep 19, 2017 4m read

Horizontal Scalability with InterSystems IRIS

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.

#InterSystems IRIS #Artificial Intelligence (AI) #Analytics #Distributed Data Management #ECP #Machine Learning (ML) #Sharding #SQL
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Article Luca Ravazzolo · Sep 21, 2017 7m read

InterSystems Cloud Manager and Containers at GS2017 XP-Lab

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.

#InterSystems IRIS #Artificial Intelligence (AI) #Cloud #Containerization #Deployment #Docker #Global Summit 2017 #Machine Learning (ML)
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Article David E Nelson · Mar 9, 2017 9m read

Machine Learning with Spark and Caché

Apache Spark has rapidly become one of the most exciting technologies for big data analytics and machine learning. Spark is a general data processing engine created for use in clustered computing environments. Its heart is the Resilient Distributed Dataset (RDD) which represents a distributed, fault tolerant, collection of data that can be operated on in parallel across the nodes of a cluster. Spark is implemented using a combination of Java and Scala and so comes as a library that can run on any JVM.

#Caché #Artificial Intelligence (AI) #Analytics #Big Data #JDBC #Machine Learning (ML) #Python #Vector Search
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Article Timur Safin · Aug 19, 2016 10m read

Caché MapReduce - introduction to BigData and MapReduce concept

Several years ago everyone got mad about BigData – nobody knew when smallish data will become BIGDATA, but all knows that it’s trendy and the way to go. Time passed, BigData is not a buzz anymore (most of us missed the moment when Gartner has removed BigData term from their 2016 buzzword 2016 curve http://www.kdnuggets.com/2015/08/gartner-2015-hype-cycle-big-data-is-out-machine-learning-is-in.html), so it’s probably a good time to look back and realize what it is (what it was)…

When it becomes “BigData”?

Let’s start from the beginning: what is the moment when “not so big data” becomes BigData?

#Caché #Artificial Intelligence (AI) #C++ #Data Model #Distributed Data Management #Machine Learning (ML)
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