.

Sergey Lukyanchikov's Blog (11)

SAP BW Data Mining Analytics: Clustering Reporting (Part 4, final)

Summary

Clustering analysis is another standard method available with SAP BW Data Mining. The clustering models based on this method may apply various combinations of parameters (e.g., maximum number of clusters, minimum fraction of inter-cluster hops per iteration, etc.) in order to implement various…

Continue

Added by Sergey Lukyanchikov on October 18, 2021 at 2:30am — No Comments

SAP BW Data Mining Analytics: Regression Reporting (Part 3)

Summary

Regression analysis is one of the methods supplied “built-in” with SAP BW Data Mining. Based on this method regression models can be created and configured to satisfy specific analysis requirements (e.g., choice between linear or non-linear approximation, etc.). The method includes…

Continue

Added by Sergey Lukyanchikov on September 28, 2021 at 9:30am — No Comments

SAP BW Data Mining Analytics: Process Reporting (Part 2)

Summary

SAP BW Data Mining serves as a process design platform for a wide variety of analyses either based on the  data mining methods (either supplied by SAP as built-in with SAP BW Data Mining or supplied by certified vendors), or based on “non-scientific” transformations (joins and unions of data tables, sorting and filtering of data,…

Continue

Added by Sergey Lukyanchikov on September 20, 2021 at 10:30pm — No Comments

SAP BW Data Mining Analytics: Model Reporting (Part 1)

SAP BW Data Mining allows creating data mining models that implement respective analysis methods (either supplied by SAP as built-in with SAP BW Data Mining or supplied by certified vendors). Although analysis methods available via SAP BW Data Mining provide extensive reporting and visualizations, there could be a need for…

Continue

Added by Sergey Lukyanchikov on September 15, 2021 at 4:00am — No Comments

AI Robotization with InterSystems IRIS Data Platform

Fixing the terminology

A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the…

Continue

Added by Sergey Lukyanchikov on July 16, 2021 at 4:00am — No Comments

Distributed Artificial Intelligence with InterSystems IRIS

What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see…

Continue

Added by Sergey Lukyanchikov on April 3, 2021 at 3:00am — No Comments

Horowitz Index Day-Ahead Change Prediction in Real Time

Rationalizing the effort of our intensive care staff by predicting patient condition indicators in real time is a challenge because of an impressive number of externally imposed and internally unavoidable restrictions. Patient data privacy requirements, variety of types and lack of standardization within one type of equipment, limited availability of “pure” examples of this or that patient condition patterns – just to name a few complexity factors.

Computational approaches to model…

Continue

Added by Sergey Lukyanchikov on December 14, 2020 at 3:00am — No Comments

All-Purpose Universal Platform for Real-Time AI/ML

Author: Sergey Lukyanchikov

Challenges of real-time AI/ML computations

We will start from the examples that we faced as Data Science practice at InterSystems:

  • A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a…
Continue

Added by Sergey Lukyanchikov on September 20, 2020 at 12:30pm — No Comments

InterSystems IRIS ML Toolkit orchestrating Microsoft Azure Data Factory and Machine Learning

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:…

Continue

Added by Sergey Lukyanchikov on August 18, 2020 at 12:13am — No Comments

IRIS ML Toolkit can now use IntegratedML

IRIS ML Toolkit adds the power of IntegratedML to 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.…

Continue

Added by Sergey Lukyanchikov on February 14, 2020 at 1:00pm — No Comments

InterSystems IRIS ML Toolkit is now bi-directionally integrated with Jupyter Notebook

Choose your format to work on the same analytical process among graphical composer (IRIS BPL), notebook (Jupyter) or IDE (IRIS Studio/Atelier):

This 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,…

Continue

Added by Sergey Lukyanchikov on January 19, 2020 at 9:30pm — No Comments

© 2021   TechTarget, Inc.   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service