Dr. Emily Ramos speaks with MIT researcher Dr. Angelica Marotta about how artificial intelligence is beginning to transform healthcare delivery—not by replacing clinicians, but by helping them spend less time at the computer and more time with patients. Drawing on research from a hospital AI deployment, the conversation explores how generative AI can reduce documentation burden, improve communication, increase eye contact, and support better clinical workflows while reinforcing the importance of trust, risk management, and keeping humans in the loop. Watch the video to hear practical insights for healthcare leaders, clinicians, and technology teams navigating the next phase of AI adoption.
In Asset Management, Your Data Is Your Competitive Edge InterSystems Data Studio™ with asset management module enables firms to create a single, trusted, and real-time source of truth from all of their disparate enterprise data sources. This solution makes it faster and easier to prepare data for launching new products, accelerating AI initiatives, managing risk, monitoring performance, and delivering differentiated client experiences.
InterSystems Data Studio is an essential element of a modern data strategy required to enable growth, optimize business reporting, reduce risk, and support compliance for any firm in the financial services industry.
InterSystems IRIS AI Hub offre un ensemble complet de fonctionnalités permettant de créer, de déployer et de gérer des agents d'IA et des flux de travail basés sur des agents.
A mid-sized independent asset management firm overseeing more than $110 billion in equity and fixed income portfolios implemented InterSystems Data Studio™ to unify disparate data across dozens of data sources and systems such as spreadsheets, external data and service providers, legacy systems, data lakes, data warehouses, and data marts.
L’IA agentique en santé Un système d’IA multi-agents a récemment réussi à diagnostiquer des cas médicaux rares avec plus de 80 % de précision. C’est quatre fois mieux que des cliniciens expérimentés. Ce résultat ne vient pas du fait qu’une IA serait, à elle seule, plus intelligente que les autres. Il vient d’un mécanisme différent : plusieurs agents IA confrontent leurs raisonnements jusqu’à ce que les erreurs soient détectées.
Agentic AI architecture assigns specialized AI agents to distinct tasks so the combined result outperforms any single model. Learn core components, patterns, and decision frameworks.