InterSystems Takes Data Fabrics to the Next Level with Ever-Increasing Embedded Analytics Capabilities
Announcement posted by InterSystems 19 Aug 2022
SYDNEY, Australia & SINGAPORE, August 19, 2022 – InterSystems®, a provider of next-generation solutions dedicated to helping customers solve the most critical data challenges, has announced a series of new releases to its award-winning InterSystems IRIS® data platform. The company has also recently announced a string of new customer wins as well as a new partnership as it continues to take data fabrics to the next level. According to Gartner® analysts, “by 2024, data fabric deployments will quadruple efficiency in data utilisation, while cutting human-driven data management tasks in half” (Gartner, Top Strategic Technology Trends for 2022: Data Fabric, October 2021).
InterSystems IRIS empowers customers to adopt a microservices-based architecture without the typical issues associated with microservices in data-intensive applications. By adopting a unified data platform, instead of dozens of individual services, InterSystems customers avoid the challenges of building a data fabric from scratch, including integration time and risk, maintenance of the architecture, high costs of maintaining multiple overlapping infrastructure services, and the complexity associated with data duplication.
Recent releases of InterSystems IRIS include new capabilities and enhancements that speed and simplify the creation of smart data fabric architectures, including Embedded Python and IntegratedML, as well as a new facility that lets data analysts and data scientists collaborate easily. Data analysts working on BI can develop measures, dimensions and labels that follow business needs, and are immediately usable by data scientists working on AI. Conversely, ML models created by data scientists are directly available to data analysts for use in dashboards, reports, and applications. This functionality connects AI and BI together under the hood without needing to move the data, thereby streamlining operations and enabling real-time insights for the business.
Further enhancements have also been made to performance and scalability to handle high throughput and high-performance transactional-analytic use cases; and to Adaptive Analytics, which provides self-service capabilities, empowering business users to freely explore the data, ask ad hoc questions, and drill down via additional queries based on initial findings.
When embedded into the data fabric, these analytics capabilities put the ‘smart’ into the next-gen ‘smart data fabric’ architectural approach which InterSystems champions. In doing so, InterSystems allows business users and data scientists alike to benefit from a wide range of built-in analytics capabilities, including data exploration, business intelligence, natural language processing, and machine learning.
Adding to its data catalog, data lineage, and data governance capabilities, InterSystems has announced a partnership with Collibra, a data intelligence platform built for governance, quality, and privacy. The integration between the two platforms allows enterprise customers to take advantage of these extended capabilities on data that resides anywhere in the organisation.
Further to this, InterSystems has released enhancements to the InterSystems Kubernetes Operator (IKO) to make scale up and management of data intensive applications in Kubernetes easier.
InterSystems IRIS® and InterSystems IRIS for Health™ are available as managed cloud services, as well as a variety of smart data services in the cloud, including InterSystems FHIR Transformation Services, and InterSystems FHIR Server.
Next week’s Gartner Data and Analytics Summit, taking place in Florida, U.S.A., will see InterSystems take to the stage alongside representatives from Harris Associates to discuss the role of the smart data fabric in delivering real-time data access and prescriptive analytics for financial services.
About the Gartner Data & Analytics Summit
The Gartner Data & Analytics Summit provides insights for data and analytics leaders to enable a data-and-analytics-centric culture within their organisations by tying strategy to business outcomes and promoting the adoption of technologies, such as artificial intelligence (AI), while creating a resilient culture that accelerates change and where data literacy, digital trust, governance and data-driven critical thinking are pervasive.
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