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.
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.
This report explores how advancements in AI, including large language models and natural language processing, are revolutionizing every aspect of capital markets, from trading strategies to compliance and portfolio management.
This Ventana Research Buyers Guide: Data Platforms is an assessment of how well software providers’ offerings address enterprises’ requirements for data platforms software, evaluating software in seven key categories that are weighted to reflect buyers’ needs based on expertise and research.
Migrating InterSystems IRIS® and InterSystems IRIS for Health™ from on-premises to the cloud offers many advantages for Application Providers and Solution Providers. These advantages include simplified operations, access to flexible resources, and enhanced resilience. Companies no longer need to worry about the physical constraints and expenses associated with maintaining on-prem infrastructure, such as power and space requirements and expensive computer hardware.
In this edition of TabbFORUM’s Market Structure Wave video series, InterSystems Irene Galperin, Senior Advisor, Financial Services, discusses how firms in the capital markets have been investing and experimenting with AI, particularly most recently with the advent of ChatGPT. In this interview, conducted by TABB Group CEO Bruce Morris, Irene offers several use cases and explains that data is at the core of implementing AI, as data needs to be "high quality and consistent," essentially "AI-ready."