Topic outline

  • Analytics/Machine Learning Resource Guide - 2019

    Below you will find presentations from Global Summit 2019 related to Analytics and Machine Learning.
    • NLP in Healthcare: Real World Use Cases

      Natural Language Procession (NLP) is becoming an increasingly important technology for healthcare applications. This session provides some example of the work we, along with industry partners, are doing to leverage InterSystems IRIS NLP and other technologies to automate the process of finding recruits for clinical trials, and to improve patient outcomes.

      Takeaway: InterSystems IRIS NLP, along with open-source tools such as Spark and R, provides a great toolset for developing sophisticated solutions for healthcare.

      Presenters: Thomas Dyar, Qi Li

      Tags: Global Summit 2019, healthcare, InterSystems IRIS, NLP

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      • Rapid Intelligent Application Development

        Intelligent applications use insights derived from data they collect to refine and improve their operations. There is a new landscape of intelligent services that shorten the development time of intelligent applications by relying more on integration and interoperability, and less on writing custom code. This session provides an overview of that landscape and gives concrete examples of building intelligent applications using InterSystems IRIS. NOTE: Attendees of this session may also be interested in the Experience Lab "Using AI Services to Build Intelligent Apps."

        Takeaway: InterSystems IRIS Interoperability enables the rapid creation of intelligent applications

        Presenters: Thomas Dyar

        Tags: Global Summit 2019, InterSystems IRIS Interoperability enables the rapid creation of intelligent applications

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        • Introducing Analytic Workflows

          Taking your wonderful analytics work from the lab to production can be a challenge, because modern data teams often consist of multiple people using multiple tools. InterSystems Analytic Workflows is an upcoming capability for InterSystems IRIS that will increase productivity by helping you automate and orchestrate your analytic production processes. Join us to learn more about how we can help your data team be more productive.

          Takeaway: InterSystems Analytic Workflows make it easier to build, manage, and monitor your analytics production processes.

          Presenters: Benjamin De Boe

          Tags: Global Summit 2019, InterSystems IRIS, analytics, machine learning

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          • BI, AI, and Analytics Roadmap

            This session outlines whats new and whats next for Business Intelligence (BI), Artificial Intelligence (AI), and analytics within InterSystems IRIS. We will present the use cases that we are working to solve, what has been delivered to address those use cases, as well as what we are working on next.

            Takeaway: Attendees will gain a knowledge of current and future business intelligence and analytics capabilities within InterSystems IRIS.

            Presenters: Benjamin de Boe, Tom Dyar, Carmen Logue

            Tags: Global Summit 2019, analytics, BI, roadmap

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            • An ML Toolkit for InterSystems IRIS

              Python and R are the de facto standard languages for data science, due to their ease of use and huge array of third party libraries for machine learning and analytics. The ML Toolkit, available on OpenExchange. enables developers to edit and invoke Python/R code from within InterSystems IRIS. This session provides an introduction to the ML Toolkit and demonstrates using InterSystems IRIS as both a standalone development platform and an orchestration tool for predictive modeling.

              Takeaway: The ML Toolkit enables machine learning and other complex application development in the R and Python languages.

              Presenters: Sergey Lukyanchikov, Eduard Lebedyuk

              Tags: Global Summit 2019, InterSystems IRIS, machine learning, analytics

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              • Reducing Readmissions with Machine Learning

                In this session, we will demonstrate using InterSystems IRIS for Health for notification and analytics to identify patients at high risk for readmission.

                Takeaway: InterSystems IRIS for Health can be used to build predictive models that improve healthcare.

                Presenters: Amir Samary, Qi Li

                Tags: Global Summit 2019, healthcare, analytics, machine learning

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