Insights on AI and Innovation

• AI in the Fast Lane

  Encouraging Multi-Speed Transformation in Tech Enterprise Strategy

  Rabea Abdelwahab

• Invited Science Talk: ServiceNow AI Research

  Retrieval-Augmented Context-Aided Forecasting

  Ryan Fattini was invited by ServiceNow AI Research to discuss Farabi Innov. work on advanced forecasting methods, bridging theory and practice while exploring future directions of the field. ServiceNow has published forecasting research including the Context is Key (CiK) benchmark.

  Ryan Fattini (Sep 2025)

• Working Paper 2025 ISF 45th International Symposium on Forecasting conference

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

  This version explores the ontological convergence concept further and analyzes corporate culture by linking the system to Structuralist/Deconstruction analysis.

  Ryan Fattini and Ryan Young

• Welcoming the New Era of Async Software Development

  OpenAI Codex: Bridging the Gap to Async Development

  Rabea Abdelwahab

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

  Fattini 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

• Iterative Time Series Forecasting Using Machine Learning Models

  Patent Filing Date: March 10, 2023

  Authors: Ryan Fattini, Ryan Young

• 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