Insights on AI and Innovation

• Retrieval-Augmented Forecasting: Bridging Human Insight and Machine Precision

  Fattin and Young introduce a novel application of retrieval-augmented forecasting.

  Ryan Fattini, Ryan Young

  Published in 2025 Q2 issue: Foresight: The International Journal of Applied Forecasting, 34-43

• RASOR: A Retrieval-Augmented Semiotic Recursion Framework for Adaptive Time-Series Forecasting

  The cost of poor forecasting burrows deep into an organization, learn how to mitigate these damaging errors.

  Ryan Fattini, Ryan Young, Rabea Abdelwahab

  Abstract was accepted to the 2025 ISF (45th International Symposium on Forecasting) conference in Beijing, China. A practitioner-focused version of this work, highlighting its applied forecasting results, was submitted to Foresight: The International Journal of Applied Forecasting in July, 2024.

• Franchise Automata (Furanchaizu): Enterprise Alignment with Emergent Potential

  Reimagining organizational business models as technological possibility outpaces business readiness.

  Ryan Fattini

• Transforming Business Operations with LLMs

  A Path to a Production Ecosystem

  Rabea Abdelwahab

• Overconfidence in State of the Art LLMs

  [Research Paper] Alice in Wonderland — Complete Reasoning Breakdown in SOTA LLMs

  Rabea Abdelwahab

• Staying Ahead as a Tech Leader

  The Dilemma of Balancing Leadership and Tech Innovation

  Rabea Abdelwahab

• DynamoDB - Features that made it the database of choice

  Use Case - Single Table Design

  Rabea Abdelwahab