Track: Track 3 / Room 101B
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Short Break
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The Future of WordPress (3F – Track 1 – Plenary Hall)
Where is WordPress heading? With turbulent years hopefully behind us, we have a lot to look forward to on the web, especially with regards to WordPress. These and more questions will be the subject of Noel’s talk, playing with different future scenarios. Watch the session in WordPress.tv and Youtube
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Closed
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Closed
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After Party
7PM to 12AM
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Closing Remarks (3F – Track 1 – Plenary Hall)
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Group Photo & Sponsors Raffle (3F – Track 1 – Plenary Hall)
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Long Break
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What Does Underrepresentation Mean? What Is Allyship? And Why Does it Matter?
The work we do in DEIB (diversity, equity, inclusion, and belonging) in the tech community, and WordPress specifically, matters a great deal. Imagine making unilateral decisions on global projects from only one point of view. This effectively disengages users, customers, clients, and community. The decisions we make about how products, software, services, and community operate…
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Building a career in WordPress while raising seven kids
In this talk I’ll share how being part of the WordPress industry enabled me to pursue my two passions: family and professional development. My story begins with the founding of a WordPress development agency, a venture born out of a love for web development and the endless possibilities offered by the WordPress platform. I’ll share…
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Building and Leveraging Your Reputation
In today’s highly competitive job market, building a strong reputation is crucial to achieving your career goals. Whether you’re an entrepreneur, freelancer, or working in a corporate environment, your reputation can make or break your success. In this talk, Aaron will share his insights on: You’ll learn practical strategies for: By the end of the…
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ChatWP. What would you ask your WordPress site?
In the last 12 months, since WordCamp Asia Bangkok, tangible artificial intelligence has become mainstream. For example, Large Language Models (LLMs) such as OpenAI’s ChatGPT have become the fastest growing web applications in history. But these models have mostly been developed and trained by large technology companies using proprietary datasets they’ve scooped up from the…


