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 …
Topic: Generative AI
Beyond Hallucinations: 7 Steps to Getting Accurate, Consistent, and Relevant Responses from AI
Once a foundation for more trustworthy, reliable AI is built using a universal semantic layer, errors will occur less often, and hallucinations may disappear …
Leveraging AI and GenAI for Data-Driven Turnaround Planning
Integrating AI and GenAI into turnaround planning marks a significant shift towards proactive, efficient, and safe industrial operations. By embracing …
Improving Public Services with an AI Assist
AI holds significant promise for transforming public service organizations by enhancing efficiency, responsiveness, and decision-making. By adopting a cautious …
AI: Anticipating Customer Issues
Consumers have endless options, and loyalty is hard to come by. An AI-fueled, proactive approach to service can be the difference between repeat customers and …
All Eyes on Gen AI, But Industrial AI will Get a Huge Piece of the Action
Industrial AI is enhancing automation, predictive maintenance, and quality control, leading to improved efficiency and cost
The Build vs. Buy AI Dilemma in 2025: Lessons from DeepSeek’s Emergence
DeepSeek’s emergence reinforces the reality that AI success isn’t solely about who builds the biggest model – it’s about who deploys AI in the most …
Transforming Data Chaos into Clarity with A Semantic Layer
As BI applications embrace Gen AI, the clarion call for providing them with well-defined data becomes even more pertinent. With a robust semantic layer that …
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