From Raw Data to AI
Engaging insights on data governance and AI implementation
About Me
Meet the Writer
- Michelle is an engaging and educational writer with outstanding analytical and research skills. She writes about data management topics and governance of AI
- Her quality assurance, library, and information science background provides insightful information on data and information management topics.
- The following publications have featured her work:
- DATAVERSITY
- Crikey
- Knowledge Owl
- World Financial Review
- IT Chronicles
- RTInsights.com
Multiple publications have cited her, including:
- A UK government blog
- the CDA Institute
- AIMS, a Food and Agriculture Organization of the United Nations (FAO) division.
She offers:
- Outstanding analytical skills that generate thought-leading business insights.
- Excellent writing skills covering clear and concise technical articles, glossary entries, interviews, case studies, and white papers.
- Excellent attention to detail.
- An ability to pick up new technologies quickly
My writing roots
While in between software testing contracts, I started writing about technology. I enjoyed making ideas and concepts come to life. Demand grew for my work and I have continued since.
My style
- I talk with my clients about their writing goal
- I outline the article or paper based on this objective.
- I research existing documentation and information.
- I ask clarifying questions and follow up as needed.
- I condense my thoughts to 2 or 3 major points.
- I use an AI word processor, Lex, to get content ideas, check for content coverage, experiment with voice, and craft transitions between paragraphs.