I hope this semi-categorized list of links is a useful starting point for your exploration into the exciting advancements in AI!
My name is Matt Boegner. I'm a data architect based in Washington DC.
Latest Posts
AI Twitter Bookmarks - Q4 2022 - Non-Technical
Day 1 Experiments with StableDiffusion (AI Art - August 2022)
The folks over at Stability.ai [https://stability.ai/] released their text-to-image model into beta testing yesterday. Overall, I am extremely impressed! I look forward to following along and participating in the great community they're building over there.
Experiments with AI Art (August 2022)
I've been experimenting with AI-generated art for about 8 months now. I am consistently blown away by the pace of progress in the field and the creativity and ingenuity of the community. For your viewing pleasure, here is
AI Resources (May 2022)
I put together this post for the purpose of sharing interesting resources with friends and colleagues who want to learn more about advancements in the AI space. It's not meant to be comprehensive, but instead a branching out
Seven Data Engineering Trends to Watch in 2021
This is a repost of my feature on the Silectis blog [https://www.silect.is/blog/2020/1/5/improve-your-sql-skills-gaps-amp-islands-problems] . With our Magpie platform [https://www.silect.is/#data-lake-platform-section], you can build a trusted data lake in the cloud as
Improve Your SQL Skills: Master the Gaps & Islands Problem
Understanding how to solve the gaps and islands problem is critical for advanced SQL practitioners. In this post, we explore advanced techniques that can help you generate new insights and transform existing data into useful models.
Short Book Reviews: Summer 2019
Kitchen Confidential: Adventures in the Culinary Underbelly I love Bourdain's writing style. Even if you're not familiar with his TV series or an aspiring foodie, you'll enjoy this book for its vivid, conversational style
Uncomfortable Questions You Should Ask Before Accepting a Job Offer
In job interviews, there are numerous information asymmetries. Job descriptions lack details about what the position really entails and are vague about what the company actually needs. Employers hide weaknesses in leadership, revenue growth, and employee morale. Hiring managers and
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