The original title is "20 Years in IT and AI: Key Lessons on Tech and Management"

Short summary

A 20-year IT veteran shares lessons spanning on-premise servers to AI and blockchain, emphasizing that technology only matters when it moves measurable business metrics. Key takeaways include applying brutal filters to blockchain and AI adoption (many projects are databases in disguise or tasks a regex could handle), investing in blameless post-mortems to cut incident recurrence by 60%, and hiring for learning speed rather than existing knowledge as skill half-lives shrink from 10 years to under 3.

• •Technology only matters when it moves a measurable business metric
• •Blameless post-mortems reduced incident recurrence by 60% in one year
• •Practical skill half-life has fallen from 10 years to under 3; hire for learning speed

Generated with AI, which can make mistakes.