A Real-World Approach to Automated, Structured Prompt Engineering
Businesses seeking to make the most of prompt engineering would do well to adopt a strategy wherein they systematically rate the quality of responses to …
Topic: From Our Experts
Top articles from our RTInsights Experts
Foundation Models Arrive in Radiology: One Network, Many Tasks
Foundation models won’t replace radiologists, but they are already redrawing the job description. By catching faint signals, shaving minutes off critical …
How AI Is Forcing an IT Infrastructure Rethink
A recent report reveals IT leaders are rearchitecting legacy systems to support scalable, secure, and cloud-integrated infrastructure for their AI
How is AI Really Being Used?
While technical applications like content generation and coding assistance still rank highly, the dominant theme this year is “Personal and Professional …
Closing the AI Readiness Gap: Unlocking the Full Potential of AI Agents
AI agents provide a powerful opportunity to enhance business operations and customer interactions. When deployed strategically and aligned with business goals, …
AI Agents are Reasoning with Tools: What MCP Means for Autonomy
With protocols like MCP, models are no longer just responding to prompts. They are actively reasoning about the tools and steps needed to complete a
Why Data Literacy Is Key to Unlocking AI Innovation
Bridging the gap between AI potential and real-world impact requires a strategic investment in data literacy. Organizations that train their workforce, …
History Repeats: Cloud Technology’s Blueprint for Generative AI Adoption
The patterns of technology adoption continue to be predictable, with GenAI following the same path cloud computing blazed before it. Just as cloud architecture …
In Defense of Keeping a Human in the AI Loop
Does every AI application need a human in the loop? No. Of course not. The challenge is determining which applications need human input and
We’ll Soon Find Out if Digital Twins Can Replace Humans in Market Research
Researchers are looking to use a heterogenous group of digital twins agents who replicate the various differences and nuances between actual