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This video explores how asset management firms can overcome common data and infrastructure challenges that often slow down AI innovation. Kathy McDermott, Managing Director at Cutter Associates, is joined by Irene Galperin, Senior Advisor in Financial Services at InterSystems, to discuss why high-quality, accessible data is foundational for successful AI use cases. Together, they unpack key roadblocks such as data silos, legacy architectures, and data quality issues, then shift to practical solutions—highlighting how a data fabric architecture provides the trusted, unified data foundation that GenAI requires to help firms accelerate AI adoption without a disruptive overhaul of their existing data environment.

InterSystems Supply Chain Orchestrator™ es una plataforma de datos que permite a las organizaciones de la cadena de abastecimiento ver, comprender, optimizar y actuar para alcanzar un modelo de cadena de abastecimiento ágil y resistente.

Enable scalable Epic Payer Platform connectivity across enterprise workflows

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Analysis reveals why organizations are moving beyond fragmented, component architectures to InterSystems IRIS.

IDC has positioned InterSystems in the Leaders category for the IDC MarketScape: Worldwide Analytical Databases 2025–2026 Vendor Assessment

The move to T+1 settlement in North America was just the beginning. Now, the industry is buzzing about what it will take to reach true T+0—instantaneous settlement. But how close are firms to making this a reality?

What’s holding asset management firms back from moving beyond AI and GenAI prototypes and truly scaling AI innovation?

This BARC research study addresses how true leaders navigate the complexities of deployment, overcome challenges, and achieve tangible success in today's technological landscape.

Clean and Trusted Data Drives Better AI Outcomes for Health and Care