Catch up on our recommended reads from April, featuring industry insight, professional development and training articles, and useful links from the field of digital communications.
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Here’s what we’ve been bookmarking and reading over the past month across the fields of content strategy, tech comm, UX and digital communications recruitment. This month we’ve been delving particularly into metadata and taxonomies.
Artificial intelligence
- Three things you need to know about machine learning (Medha Agarwal, Medium)
- Machine learning newbs: TensorFlow too hard? Kick its ass with Keras (The Register)
- Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics (Data Science Central)
Augmented reality
Content – creation, strategy, sharing
- Content Management Process (Stan Garfield, LinkedIn)
- Creating A Content Strategy Using Your Brand Persona (Intelligent Content Conference)
- The Mega Post: Think Bigger About Content (Curata)
- Why Rubber Duck Debugging is the best way to debug your code (ZenHub)
Metadata and taxonomies
- Business Glossaries and Metadata: The Prime Directive (TDAN.com)
- Taxonomy Governance Best Practices (Enterprise Knowledge)
- Ask Us Answered: Why Is Creating Taxonomy So Challenging? (APQC.org)
- Metadata – a definition (Sideways Dictionary)
- How ephemeral metadata may cause real problems (Kapersky Lab)
- Planning your CloudForms tagging taxonomy (Red Hat Consulting)
- Infographic: What cost savings can be achieved through Terminology Management? (SDL)
Tech comm
UX/design
Workplace trends
Image: (CC) Sebastien Wiertz/Flickr
CJ Walker
