"InterSystems AI+ML Virtual Summit 2021:…"
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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 patient…See More
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 patient…See More
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 patient…See More
All-Purpose Universal Platform for Real-Time AI/ML
Author: Sergey LukyanchikovChallenges of real-time AI/ML computationsWe 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 “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen…See More
All-Purpose Universal Platform for Real-Time AI/ML
Author: Sergey LukyanchikovChallenges of real-time AI/ML computationsWe 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 “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen…See More
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:See More
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.Details on the ML Toolkit available on GitHub,…See More
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.Details on the ML Toolkit available on GitHub,…See More
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, DL/CV, etc.) in a single analytic…See More
Profile Information
- Company:
- InterSystems
- Job Title:
- Sales Engineer - Data Science
- Seniority:
- Consultant
- Job Function:
- Data Scientist
- Number of employees:
- 1.000 to 4.999
- Industry:
- Research and Consulting
- Short Bio:
- Sales Engineer - Data Science at InterSystems
- LinkedIn Profile:
- http://www.linkedin.com/in/lukyanchikov
- Interests:
- Contributing, Networking
Sergey Lukyanchikov's Blog
Horowitz Index Day-Ahead Change Prediction in Real Time
Posted on December 14, 2020 at 3:00am 0 Comments 0 Likes
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…
ContinueAll-Purpose Universal Platform for Real-Time AI/ML
Posted on September 20, 2020 at 12:30pm 0 Comments 1 Like
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…
InterSystems IRIS ML Toolkit orchestrating Microsoft Azure Data Factory and Machine Learning
Posted on August 18, 2020 at 12:13am 0 Comments 0 Likes
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:…
IRIS ML Toolkit can now use IntegratedML
Posted on February 14, 2020 at 1:00pm 0 Comments 0 Likes
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.…
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