It's true! QuinielaML has incorporated the most important leagues in Europe (and Brazil) into its prediction service, so, dear members of the Developer Community, wherever you are from, you will be able to have the predictions of your favorite leagues at your disposal.

From the predictions screen you will have access to each of the new leagues included, being able to record the matches for each journey:

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Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

InterSystems Cloud Services - InterSystems IRIS SQL & IntegratedML @ Global Summit 2023

https://www.youtube.com/embed/jjYnVsF9xeI
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Hi Developers,

Watch this video to see how you can use IntegratedML time-aware modeling in InterSystems IRIS to make predictions for data values based on historical trends, and how this differs from traditional IntegratedML modeling:

How to Predict Time Series Data with IntegratedML

https://www.youtube.com/embed/wmUpvCGsGNo
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Welcome dear members of the Community to the presentation and first article of a small project that will demonstrate the capabilities of InterSystems IRIS to provide full backup functionality for a web application developed in Angular. This article will be limited to presenting the concept as well as the InterSystems IRIS functionalities used in a general way, going into more detail in subsequent articles.

Welcome to QuinielaML!

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Hi Developers,

Watch this video to learn about new features of IntegratedML, such as support for larger datasets and new syntax for time series forecasting:

IntegratedML: New & Next @ Global Summit 2023

https://www.youtube.com/embed/uCyjFozKad8
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Hey Community,

Watch this video to learn how to build and run machine-learning models using InterSystems IRIS Cloud IntegratedML using the example of 15,000 rows of data from New York City taxi rides to predict the tip for a given ride:

Building Models with IntegratedML in the Cloud

https://www.youtube.com/embed/SVW5J7wqHoQ
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Article
· Jul 4 2m read
IntegratedMLandDashboardSample

A simple data analysis example created in IntegratedML and Dashboard

Based on InterSystems' Integrated ML technology and Dashboard, automatically generate relevant predictions and BI pages based on uploaded CSV files. The front and back ends are completed in Vue and Iris, allowing users to generate their desired data prediction and analysis pages with simple operations and make decisions based on them.

# ZPM installation

zpm:USER>install IntegratedMLandDashboardSample

# Process Deployment

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Prediction of server configuration for entry

The platform server entry configuration prediction application connects to Iris in Java and uses its Integrated ML technology to analyze data such as hospital outpatient volume, number of services, number of messages, and message save time. It can predict the server configuration required for the hospital entry platform before the hospital integration platform enters, providing convenience for customers.

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InterSystems IRIS Cloud SQL is a fully managed cloud service that brings the power of InterSystems IRIS relational database capabilities used by thousands of enterprise customers to a broad audience of application developers and data professionals. InterSystems IRIS Cloud IntegratedML is an option to this database-as-a-service that offers easy access to powerful Automated Machine Learning capabilities in a SQL-native form, through a set of simple SQL commands that can easily be embedded in application code to augment them with ML models that run close to the data.

Today, we announce the Developer Access Program for these two offerings. Application developers can now self-register for the service, create deployments and start building composable applications and smart data services, with all provisioning, configuration and administration taken care of by the service.

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Hi colleagues!

InterSystems Grand Prix 2023 unites all the key features of InterSystems IRIS Data Platform!

Thus we invite you to use the following features and collect additional technical bonuses that will help you to win the prize!

Here we go!

  • LLM AI or LangChain usage: Chat GPT, Bard and others - 6
  • InterSystems FHIR SQL Builder- 5
  • InterSystems FHIR - 3
  • IntegratedML - 4
  • Native API - 3
  • Embedded Python - 4
  • Interoperability - 3
  • Production EXtension(PEX) - 2
  • Adaptive Analytics (AtScale) Cubes usage - 3
  • Tableau, PowerBI, Logi usage - 3
  • InterSystems IRIS BI - 3
  • Columnar Index Usage - 1
  • Docker container usage - 2
  • ZPM Package deployment - 2
  • Online Demo - 2
  • Unit Testing - 2
  • Implement InterSystems Community Idea - 4
  • First Article on Developer Community - 2
  • Second Article On DC - 1
  • Code Quality pass - 1
  • First Time Contribution - 3
  • Video on YouTube - 3

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In recent years, artificial intelligence technologies for text generation have developed significantly. For example, text generation models based on neural networks can produce texts that are almost indistinguishable from texts written by humans.
ChatGPT is one such service. It is a huge neural network trained on a large number of texts, which can generate texts on various topics and be matched to a given context.

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In our latest episode of Data Points, I had a conversation with @Thomas Dyar about AI Link, which helps bridge the gap between data scientists and business analysts. Our conversation talks about how AI Link fits with IntegratedML and Adaptive Analytics, as well, as what new features are on the horizon for IntegratedML. Take a listen!

https://5e18edf067eb59-03854285.castos.com/player/1346398
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Article
· Nov 28, 2022 1m read
Use IntegratedML to 'predit' diseases

Hi Developers,

IntegratedML is a feature helps us and our teams easily implement machine learning (ML) without dedicated ML experts and data scientists. If you do not need particularly complex ML function, integratedML is a good choice and convenient that only requires executing 3 SQL queries to build predictive models directly from InterSystems IRIS to ML engine.

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Hey Community,

Don't miss the latest videos on InterSystems Developers YouTube channel:

IntegratedML Update from the Field

https://www.youtube.com/embed/2-i2Z7aukSc
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Kidney Disease can be discovered from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the scientist Akshay Singh published a very useful dataset for training ML algorithms in the detection/prediction of kidney disease. This publication can be found on the largest and best known data repository for ML, Kaggle at https://www.kaggle.com/datasets/akshayksingh/kidney-disease-dataset.

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Diabetes can be discovered from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the National Institute of Diabetes and Digestive and Kidney Diseases published a very useful dataset for training ML algorithms in the detection/prediction of diabetes. This publication can be found on the largest and best known data repository for ML, Kaggle at https://www.kaggle.com/datasets/mathchi/diabetes-data-set.

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I've been playing with IntegratedML and have created a model and trained the model. When I try to use PREDICT or PROBABILITY statements in an SQL query, I get the following error:

[SQLCODE: <-400>:<Fatal error occurred>]

[%msg: <PREDICT execution error: ERROR #5002: ObjectScript error: <OBJECT DISPATCH>%LoadModel+31^%ML.AutoML.TrainedModel.1 *<class 'AttributeError'>: 'str' object has no attribute 'decode' - >]

Here's an example of the sequence of steps I've followed that lead to the error:

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Article
· Jan 13, 2022 2m read
Predict Maternal Health Risks

Hi community,

Prediction is a critical to the Maternal healthcare. The Health Dataset Application (https://openexchange.intersystems.com/package/Health-Dataset) has 10 real health datasets to predict the most important diseases and health problems, including Maternal Risk.

This article detail the steps to predict Maternal Risk using the InterSystems IRIS IntegratedML. This is a technology of InterSystems to do predictions using SQL Commnands! Great!

Follow these steps:

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Article
· Dec 21, 2021 8m read
IntegratedML hands-on lab

Have you tried the InterSystems learning platform lab for IRIS IntegratedML? In that lab you can train and test a model on a readmission dataset and be able to predict when a patient will be readmitted or not, or calculate its probability of being readmitted.

You can try it without any installation on your system, all you have to do is start a virtual lab environment (Zeppelin) and play it around!

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Hi Community,

Please welcome the new video from #VSummit20:

Showcasing Health Insight & IntegratedML for Healthcare Applications

https://www.youtube.com/embed/q8lC2a6eFgY
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