No Hype Analytics blog

From the news

• Supply chains & tariffs: navigating uncertainty with simulation

Analytics trends

• Structured output AI: the turning point for LLMs in business modeling
• The best uses of AI for business analytics teams
• Can AI and advanced analytics be commodified?
• What happened to big data?
• How revolutionary is GenAI, and what can / can’t it do?
• Data scientists are trending towards too much Python and not enough SQL and Excel (yes, Excel) use
• Be wary of forecasting your way out of a problem and an over-reliance on prediction

Project strategy

• Approach to develop and implement a new AI (or data science / ML) model

Analytics explainers

• AI, Machine Learning, Operations Research, advanced analytics, prescriptive analytics, … - what is the difference?

About the blog

Quantitative modeling capabilities have evolved rapidly in the last decade. Excitement about the latest trend gets mixed with marketing hype. In its focus on bankable value, the blog mirrors Better Optima’s philosophies:

• Deliver consistent value with approaches and technologies that work. Over-hyping AI will eventually lose confidence and investment.
• Prioritize clarity over technical perfection. Understandable AI improves implementations.