Built-in Analytics and an Open Analytics Platform
InterSystems IRIS includes powerful, built-in analytics capabilities, the ability to run a wide variety of analytics directly within applications, as well as the ability to incorporate your favorite best-of-breed analytics tools.
Machine Learning (ML)
InterSystems IntegratedML is an embedded feature of InterSystems IRIS. It allows application developers to automatically create and train machine learning models without requiring specialized data science skills. IntegratedML makes it possible for organizations that do not yet have data scientists on staff to develop and deploy machine learning models. And it can improve the effectiveness of organizations with teams of skilled data scientists by automating much of the tedious work involved in data wrangling, feature engineering, and model building, freeing data scientists to work on higher value tasks.
Deep integration with InterSystems IRIS enables applications to seamlessly execute these ML models dynamically in response to real-time events and transactions, without extracting or moving any models or data.
Business Intelligence (BI)
InterSystems IRIS includes powerful, interactive business intelligence capabilities for data exploration and reporting. These high-performance dashboards can be embedded in real-time applications to give your users insights at the point of action.
Natural Language Processing (NLP)
Our built-in technology for natural language processing and text exploration enables you to gain insight from unstructured data and use it to enrich your applications. NLP is also important for creating new features from text that can be used to create and train machine learning models. Our text exploration technology – also available as open source – is different because it uses a “bottom up” approach, discovering concepts and relations within the text itself. There is no need for the tedious and limiting process of predefining dictionaries or ontologies.
Open, Standards-Based Connectivity
InterSystems IRIS is an open analytics platform, which means you can work with your favorite third-party tools and technologies for data exploration, business intelligence, NLP, AI, and machine learning. The ability to embed third-party analytics directly into InterSystems IRIS applications gives you the freedom of choice to use additional best-of-breed technologies to gain valuable insights and execute intelligent programmatic actions in response to real time events.
InterSystems IRIS can connect to and leverage many third-party analytics tools and analytics standards, including:
- Apache Spark
Apache Spark is an open-source, high performance cluster-computing framework for data processing and analytics tasks, including predictive analytics and machine learning. InterSystems IRIS has a connector for Apache Spark, enabling you to leverage the performance and horizontal scalability of the InterSystems IRIS Data Platform when working with Apache Spark.
Predictive Model Markup Language (PMML) is the standard used by many popular machine learning and analytics tools for describing predictive models. InterSystems IRIS automatically generates optimized native code based on PMML model definitions to execute predictive and machine learning models created with external tools directly inside the InterSystems IRIS database for highest performance.
Unstructured Information Management Architecture (UIMA) is a framework for Natural Language Processing (NLP) applications. InterSystems IRIS text exploration technology is compatible with UIMA, thereby enabling any UIMA-compatible NLP tool to be used as part of your data workflows.
- Self Service Business Intelligence (BI) Tools
In addition to its native, embedded BI capabilities, InterSystems IRIS supports third-party self-service BI tools including Tableau and Microsoft Power BI, enabling customers to work with their existing BI tools from within InterSystems IRIS applications.
Leveraging an Open Analytics Platform
InterSystems IRIS supports a variety of third-party analytics technologies, enabling customers to continue to use their tools and technologies of choice.