InterSystems Releases Update to IRIS Data Platform

InterSystems, a provider of next-generation solutions, has announced a series of new releases of its award-winning InterSystems IRIS data platform. The company also recently announced a series of recent customer wins and new partnerships to continue taking its data fabric to the next level.

According to Gartner analysts, by 2024, data fabric deployments will quadruple data utilization efficiency and cut human data management tasks in half.

According to InterSystems, IRIS enables customers to adopt a microservices-based architecture without the typical problems associated with microservices for data-intensive applications. By adopting a unified data platform rather than dozens of separate services, customers avoid integration time and risk, architecture maintenance, the high cost of maintaining multiple overlapping infrastructure services, and data-related Avoid the challenges of building a data fabric from scratch, including the complexity of building duplication.

Recent releases of InterSystems IRIS include new features and enhancements that speed and simplify the creation of smart data fabric architectures, such as Embedded Python and IntegratedML, and new features that make it easier for data analysts and data scientists to collaborate. Features included.

According to InterSystems, data analysts working on BI can create measures, dimensions, and labels ready for use by data scientists working on AI, depending on business needs. Conversely, ML models created by data scientists are directly available to data analysts for use in dashboards, reports, and applications. This capability connects AI and BI internally without the need to move data, streamlines operations, and enables real-time business insights.

According to the company, the performance and scalability have been further enhanced to handle high-throughput and high-performance transactional analytics use cases. Adaptive analytics has also been enhanced to provide self-service capabilities, allowing business users to freely explore data, ask ad-hoc questions, and drill down through additional queries based on initial findings.

Incorporating these analytics capabilities into the Data Fabric incorporates smart into the next-generation smart data fabric architecture approach that InterSystems champions. In doing so, InterSystems empowers business users and data scientists alike with a wide range of built-in analytics capabilities, including data exploration, business intelligence, natural language processing and machine learning.

InterSystems also announced a partnership with Collibra, a data intelligence platform built for governance, quality, and privacy. According to the company, the integration of the two platforms will allow enterprise customers to take advantage of these enhancements for data that resides anywhere within their organization.

Additionally, InterSystems has released an extension for the InterSystems Kubernetes Operator (IKO) to make it easier to scale up and manage data-intensive applications on Kubernetes.

InterSystems will take the stage with representatives from Harris Associates at next week’s Gartner Data and Analytics Summit in Florida, according to the company, to demonstrate its smart data fabric in delivering real-time data access and prescriptive analytics for financial services. discuss the role of