Artificial intelligence and the transformation of operational resilience
Acknowledgements
Abbreviations
Glossary
Foreword by Mike Campbell
Foreword by Raj Sardana
Preface
Introduction
What is operational resilience?
Facets of operational resiliency
Driving business value
How to approach operational resilience
Operational resilience fundamentals
Getting organised around operational resilience
Regulation: Reshaping the financial industry
Understanding impact tolerances: How severe is severe?
Scenario testing: What are severe but plausible scenarios?
Connecting the dots: Resilience, risk and resolution
How resilient are you? The supply chain imperative
Intersection of operational resilience, ESG and climate risk
Artificial intelligence and the transformation of operational resilience
Case study: Covid-19 and the transformational shift in resilience
Closing thoughts: The impact of operational resilience
Appendix: toolkit and guide
Endnotes
References
We would not be doing this book justice if we did not discuss the significance of artificial intelligence (AI) and generative AI (gen AI). While AI has been around for a while across various industries, the emergence of gen AI is relatively unchartered territory that is becoming an important focus area across many organisations and industries. Gen AI typically refers to the next generation of artificial intelligence systems that are anticipated to possess greater autonomy, adaptability, and human-like cognitive abilities. It represents a considerable evolution beyond current AI systems, which are often more task-specific and require substantial human oversight and intervention.
At the risk of oversimplification, gen AI refers to algorithms that can be used to create new content or synthesise existing content from large quantities of audio, code, images, text or data sequences. Large language models (LLMs), such as the one used to power ChatGPT, can learn and reproduce relationship patterns in data that are more complicated than previous state-of-the-art models, having the ability to generate compelling content. Those organisations reliant on innovation, data analysis and process
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