Knowledge is Imperfect - Acting on Stale, Inconsistent or Missing Data

Explore the challenges of working with imperfect data in various domains through this insightful conference talk. Delve into one programmer's journey through decision support, disaster response, telephony systems, and connected device management. Learn about the importance of data quality in distributed systems and discover strategies for addressing common challenges. Gain valuable insights into decision support basics, information management principles, and techniques for dealing with requirements and specifications. Understand how to model data lifetimes, diagnose signal absence, and implement knock-out units. Benefit from real-world anecdotes and practical advice on navigating the complexities of working with stale, inconsistent, or missing data in diverse technological environments.

Introduction
Outline
Alaskan Adventure
Ericsson adventure
C2: Distinctive Challenges
Telecom: Special Challenges
Device Management Challenges
Decision Support Basics
The What
Abstractions
Ulf's Law of Information Management
The 'What' for Developers
Dealing with requirements
Specifications
Trust/verify
Modeling data lifetimes
Diagnosing absence of signal
Knock-out Units
Conclusion
Questions?