A platform-centric approach to developing analytical tools and solutions aiming to maximize the advantages of combining multiple analytic toolsets (AI/ML, BI, SQL, Quantum, IoT, MapReduce, NLP, DL/CV, etc.) in a single analytic process or a system of agent processes. Also, the name of the community for the practitioners of this approach based on InterSystems technology.
Author: Sergey Lukyanchikov, InterSystems
For one major reason: to avoid progressive technical and economic performance deterioration in an AIaaS setup characterized by increasing volume, velocity and variety of data flows (the famous Big Data’s “3 Vs”).
* In-Platform Agent-Based Simulation of a Connected Factory Cluster
Author: Sergey Lukyanchikov, InterSystems
We will start from the examples that we faced as Data Science practice at InterSystems:
What is Distributed Artificial Intelligence (DAI)?
Hi Community,
Enjoy watching the new session recording from the InterSystems AI+ML Summit 2021:
Hey Developers,
Please welcome the new session recording from the InterSystems AI+ML Summit 2021:
ML Toolkit for InterSystems IRIS, besides Python/R/Julia, allows orchestrating cloud-based advanced analytics services, such as Microsoft Azure Data Factory and Machine Learning:
Inter
Intersystems IRIS is a complete platform to get insights from SQL and NoSQL data. It is possible get data from Interoperability adapters or using a set of IRIS tables as data sources and model BI or NLP Cubes, covering all type of data (other tools are limited to SQL). There are the option to enable intensive analytics processing using Spark too. So you can model your analysis using IRIS web analyzers (many tools use desktop tools) and than visualize and produce insights using IRIS Dashboards and IRIS User Portal or your third party options, using open options like MDX and REST.
InterSystems IRIS ML Toolkit adds the power of InterSystems IntegratedMLto further extend convergent scenario coverage into the area of automated feature and model type/parameter selection. The previous "manual" pipelines now collaborate within the same analytic process with "auto" pipelines that are based on automation frameworks, such as H2O.
This series of articles would cover Python Gateway for InterSystems Data Platforms. Execute Python code and more from InterSystems IRIS. This project brings you the power of Python right into your InterSystems IRIS environment:
The plan for the series so far (subject to change).
This repository is a go-public that builds on the already existing InterSystems-internal Convergent Analytics community and InterSystems-private MLToolkit repo (remains active and contains the most recent information for external ML Toolkit users - request memebership by writing us at MLToolkit@intersystems.com). This repo embraces more than ML Toolkit, we would like to host any discussions, publications, projects that add up in what we call convergent analytics approach. Welcome!