Biblioteca de recursos

Data fabric has emerged to provide a unified view of disparate and distributed data and to support any type of workload, from business intelligence to ad-hoc analytics to data science. Data fabric uses metadata and artificial intelligence/machine learning (AI/ML) to automate data management functions such as onboarding new data sources and managing metadata. It also simplifies combining data of different types and from different locations to provide seamless access to enterprise data.

Logistics congestion, geopolitical tensions, labor shortages, and increasing operational costs are keenly felt by supply chain organizations.

By Daniel Howard – Senior Analyst, Information Management

InterSystems outscores Microsoft, SAP, AWS, and Google in overall ranking, according to new Ventana analyst report

Simon Ellis, Program Vice President of Manufacturing Insights and Global Supply Chain Strategies at IDC, highlights how global supply chains continue to modernize their applications. IDC forecasts supply chain growth of around 5% year on year through 2026.

Business leaders frequently hear that data is their most valuable asset. And while few would refute the claim, there is a big difference between understanding the theory and being able to put it into practice. Following the wholesale shift to digital banking, banks hold a wealth of historical and customer data. But to realise its true value, they must be able to access, make sense of and deploy it to support real-time decision-making.

Business leaders frequently hear that data is their most valuable asset. And while few would refute the claim, there is a big difference between understanding the theory and being able to put it into practice. According to the World Retail Banking Report 2022, 73% of banking executives say their companies struggle to turn data into useful insights and 70% say they lack the resources to adequately process and analyse data.

88% ranked having a vendor-supplied clinical data model as critical to accelerating their work.*","theme.inter-systems-theme-default.:core:enhancement:Enhancement.hbs.enhancementAlignment":null,"theme.inter-systems-theme-default.:core:enhancement:Enhancement.hbs._template":null,"_id":"00000185-369d-dd17-a98d-bebf306a0000","_type":"7037641b-89f2-3005-99fe-b58e229bb033"}">90% of developers surveyed are interested in using a unified database platform that includes an interoperability engine, analytics tools, healthcare-oriented natural language processing capabilities, machine learning tools, and a FHIR server.* 88% ranked having a vendor-supplied clinical data model as critical to accelerating their work.*InterSystems IRIS for Health™ is a unified database and development platform built by Health IT developers for Health IT developers. It gives you the fastest route to getting innovative healthcare apps up and running quickly and delivering sustainable value.

As an emergency department nurse in the 1990s, Kimberly Strand and her colleagues knew little about their patients. Healthcare’s reliance on paper records meant it was all but impossible to acquire medical histories and allergies for people who showed up unconscious. The lack of data risked patient health and concerned clinicians.

InteSystems IRIS se posiciona como Visionario en el Cuadrante Mágico de Gartner de este año, validando que nuestros innovadores y únicos servicios de datos inteligentes nativos de la nube están por delante de la curva.