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Yingzhao Ouyang
Data and AI Transformation Specialist
Driving value in cloud, data and generative AI solutions for enterprises
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The AI Disruption Part 1: How AI is Reshaping Work Before Our Institutions are Ready
Originally published on Medium on 27 May 2026 AI is not just another productivity tool. It is changing who gets paid for productivity. In this first part of the series, I look past the hype and examine what the data actually says … The AI Disruption Part 1: How AI is Reshaping Work Before Our Institutions are Ready…
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Chips, Cells and Code: How Singapore is Applying its 40-Year Industrial Playbook to AI
Originally published on Medium on 19 February 2026 In the 1980s, the big bet was chips. Singapore set out to become a serious player in semiconductors and electronics, starting from low‑cost assembly and eventually becoming a key node in the global chip … Chips, Cells and Code: How Singapore is Applying its 40-Year Industrial Playbook to AI Read…
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Build Your Own LinkedIn Analytics Part 12: What’s Next? Open Sourcing and Community
In the 12th and final post of the series, I release the open-source repository that implements the LinkedIn analytics pipelines, and discuss future plans.
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Build Your Own LinkedIn Analytics Part 11: Key Takeaways and Lessons Learned
In the 11th and penultimate post of the series, I look back on what has been achieved, what can be done better and what has been learned.
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Build Your Own LinkedIn Analytics Part 10: Observing the Pipeline
In the 10th post of the series, I show how to set up observability on our data pipeline to monitor its condition and act as necessary.
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Build Your Own LinkedIn Analytics Part 9: Making a Maintainable Pipeline
In the 9th post of the series, I use a combination of Git and Databricks Asset Bundles to make the data pipeline easily deployable and maintainable.
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