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#Adaptive Analytics

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InterSystems IRIS Adaptive Analytics is an optional extension that provides a business-oriented, virtual data model layer between InterSystems IRIS and popular Business Intelligence (BI) and Artificial Intelligence (AI) client tools. It includes an intuitive user interface for developing a data model in the form of virtual cubes where data can be organized, calculated measures consistently defined, and data fields clearly named. By having a centralized common data model, enterprises solve the problem of differing definitions and calculations to provide their end-users with one consistent view of business metrics and data characterization.

Documentation.

Developers, we have prepared a tutorial to get you started with InterSystems Adaptive Analytics powered by AtScale. In it, in addition to setting up AtScale and working with data cubes, we will also touch on methods of working with InterSystems Reports and other analytical systems.

Now the course is ready and we want to conduct a pilot training course on a small group of volunteers (3-5 people).

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Hi Developers!

Here're the technology bonuses for the InterSystems Analytics contest that will give you extra points in the voting.

Adaptive Analytics (AtScale) Cubes usage - 4 points
InterSystems Adaptive Analytics provides the option to create and use AtScale cubes for analytics solutions.

You can use the AtScale server we set up for the contest (URL and credentials can be collected in the Discord Channel) to use cubes or create a new one and connect to your IRIS server via JDBC.

The visualization layer for your Analytics solution with AtScale can be crafted with Tableau, PowerBI, Excel, or Logi.

Documentation, AtScale documentation

Training

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Hi All! We have recently updated the Exploring Healthcare Analytics with InterSystems exercise to a new version. Originally from a 2021 Virtual Summit experience lab, this exercise now focuses more specifically on using InterSystems IRIS Adaptive Analytics with InterSystems IRIS for Health. It features a new and improved data model and exercise to explore. Feel free to give it a try!

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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!

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