Werner Vogels, Mike Butcher & Daniel Gebler
Fireside Chat with Werner Vogels, VP & CTO, Amazon.com & Daniel Gebler, CTO at Picnic
#1about 3 minutes
Building software architectures that can evolve over time
To ensure longevity, applications must be designed for continuous feature updates, as stagnation is perceived as death by customers.
#2about 3 minutes
Using technical debt strategically for speed and innovation
Incurring technical debt intentionally, like using Ruby on Rails for prototyping, can accelerate learning and experimentation when speed is the priority.
#3about 5 minutes
Developer responsibility for AI-generated code and compliance
Despite the rise of automated code generation, developers remain fully responsible for the output, especially regarding compliance and security.
#4about 4 minutes
How AI is reshaping the software development lifecycle
AI is expanding beyond implementation to assist with system design and requirements, potentially changing the value of refactoring versus rebuilding.
#5about 3 minutes
The evolving skill set for engineers in the AI era
The demand for engineers remains high, but the required skills are shifting from pure coding to leadership, continuous learning, and systems thinking.
#6about 6 minutes
Adopting a holistic AI strategy across business functions
Effective AI adoption requires training all stakeholders, not just engineers, and recognizing that AI has long been integral to core business operations like supply chain.
#7about 2 minutes
Understanding the AI hype cycle and Jevons paradox
The current AI landscape is characterized by high startup valuations and a fear of missing out, but efficiency gains often lead to more work, not less, as described by Jevons paradox.
#8about 3 minutes
Pacing innovation to match customer readiness and acceptance
Rapid technological advancements, like pre-filling a shopping basket, can overwhelm customers if the change is too drastic, requiring a more gradual introduction.
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Why corporate AI adoption lags behind the hype
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Rapid-fire thoughts on the future of work
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Why HR struggles with technology implementation and adoption
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Moving beyond headcount to solve business problems
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Automating formal processes risks losing informal human value
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Breaking down silos between HR, tech, and business
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