Leveraging machine learning to enable content automation can help make sense of your customer data. Learn how in part three of this series.
Rise of the Machines: How Machine Learning Can Transform Your Content Delivery + Increase Content Effectivenessby Andrew Johnson
Leveraging machine learning to enable content automation can help you and your content team make sense of your customer data. Here's how.
Content Science Review Founder and CEO Colleen Jones shares the top 11 non-content books she read this year.
The team at Content Science Review has rounded up the top posts, fact sheets, in-depth reports, and Q&As consumed this year.
Does knowing the content budget matter? Does it make a difference to success? Let’s discuss.
Data Visualization Q&A with Dona Wong, author of The Wall Street Journal Guide to Information Graphicsby Dona Wong and Content Science
Data visualization is a powerful, persuasive tool to discern unexpected patterns and anomalies.
Colleen Jones offers tips to avoid the risk of pretty but impractical user journeys for content strategy.
We've collected the top 5 content resources read on Content Science Review in 2016 in the three formats: articles, fact sheets, and reports/toolkits.
2015 is predicted to be a big year for marketing automation. Here are 5 tips for making marketing automation work for you.
Make better content decisions with a system of data + insight.
Your content approach makes or breaks your digital transformation. Learn why intelligent content strategy + engineering are critical to your success.
Your content is integral to your product. You might have piloted content strategy and seen promising results. Now what? It’s time to get more strategic so you can sustain and scale. This whitepaper will help you start.
Does your content work? It's a simple question, but getting a clear answer from content analytics or ROI formulas is often anything but easy. This ebook by Colleen Jones will help you overcome the challenges.