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Building Your GenAI Application on InterSystems

White Paper

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Revolutionizing How You Use Health Data

Generative AI applications represent a transformative leap in artificial intelligence, enabling systems to create new content, ideas, or solutions rather than merely analyzing or reacting to existing data. These applications are powered by models like Generative Adversarial Networks (GANs) and Transformer-based architectures such as GPT and BERT, which can generate human-like text, images, music, and even complex designs. From personalized marketing content and product recommendations to automated video production and code generation, the versatility of Generative AI is revolutionizing industries by delivering hyper-customized, scalable, and creative outputs at unprecedented speeds.

In healthcare, examples abound. Generative AI allows providers to automatically transcribe and summarize conversations with patients. It enables researchers to efficiently scan, summarize, and query large pools of information. And it aids in drug discovery by simulating biomolecules and predicting how they fit together. By combining this innovation with robust data platforms, healthcare workers and businesses can unlock new possibilities, ranging from multi-modal AI systems that integrate text, images, and speech, to enhanced decision-making processes based on generative insights.

InterSystems IRIS® for Health is a comprehensive platform for building and scaling Generative AI healthcare applications by seamlessly integrating robust data management, high-performance analytics, and real-time health informatics interoperability capabilities. Its multi-model database supports structured, unstructured, and multi-modal data, making it ideal for the diverse data requirements of Generative AI. It supports massive scalability through efficient caching, partitioning, and sharding.

Download the guide to learn more.

Další Zdroje, Které By Se Vám Mohly Líbit

úno 07, 2025
Decision Guide
Versatile Platform Supports a Wide Array of Healthcare Applications and Architectures
úno 07, 2025
Whitepaper
A Strategic Guide for Health Tech Firms Facing the Interoperability Trilemma
led 21, 2025
Five Key Data Management Questions for MedTech Leaders
A digital health development platform can help you streamline development efforts and accelerate investment returns. The platform provides all the building blocks and tools you need to manage healthcare data and deliver differentiated solutions—quickly, efficiently, and cost-effectively.
led 14, 2025
IDC MarketScape
InterSystems is positioned as a Leader in the IDC MarketScape for U.S. Healthcare Data Platform for Providers 2024–2025 Vendor Assessment
led 14, 2025
IDC MarketScape
InterSystems is positioned in the Leaders category in the IDC MarketScape for Asia/Pacific Electronic Health Record 2024 Vendor Assessment
lis 21, 2024
Make Your HIE Vision a Reality
Specifying Requirements, Evaluating Technologies, and Selecting Partners Download the Planning Guide
lis 19, 2024
High Performance, Availability, and Security
How InterSystems Ensures High Performance, Availability, and Security for its Cloud-Hosted Offerings
lis 08, 2024
Forrester Research
InterSystems Positioned as a Leader in The Forrester Wave™: Translytical Data Platforms, Q4 2024, recognizing and evaluating comprehensive real-time transactional-analytical (“translytical”) capabilities
říj 31, 2024
BLOOR Research Opinion Article
This article from UK Analyst Bloor Research recognises the capabilities and advantages of InterSystems IRIS data platform as an "innovative and powerful data management platform" and it’s Smart Data Fabric capabilities offering a market differentiator.
říj 31, 2024
HIMSSCast
How to get the most benefit from machine learning and AI How can healthcare organizations best leverage artificial intelligence (AI) tools, including generative artificial intelligence (GenAI)? Join Alex MacLeod, Director of Healthcare Solution Innovation at InterSystems, as she discusses key steps and challenges for organizations interested in adopting AI and other advanced technologies, as well as use cases that can improve care delivery and drive operational efficiencies.

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