Your Guide to Quality Data Science Products

Climate change will exacerbate the consequences of natural disasters. Developing countries will be hit the hardest. We helped Dr. Junko Mochizuki build a decision support tool for policymakers in Madagascar to better mitigate this risk.

If you are an NGO working on species conservation and you want to use Artificial Intelligence, but you don't know how, here are some ideas for next steps. If you are an AI pro and/or Data Scientist and you want to learn how you can help, read on.

How to help an organization turn piles of paper into a data lake - Now easier with Optical Character Recognition (OCR).

I had the honor to meet people who preserve biodiversity and genetic resources at the GenRes Bridge conference in Tuusula, Finland. I represented Appsilon Data Science's Data for Good initiative and shared pathways for incorporating DS and AI.

To achieve IA implementation success, plan for a partnership between humans and machines, not replacement. Buy-in is crucial, of course. So educate your workforce about IA and plan for hero moments. Automate tasks, not jobs and start small.

What are the differences between AI and IA? When is Intelligence Augmentation superior to a pure Artificial Intelligence approach? Which solution makes the most sense for your problem set? Consider IA solutions when a limited amount of data exists

Describes the best practices for setting automated test architecture for R Shiny apps. Automate and test early and often with unit tests, user interface tests, and performance tests.

Intelligence Augmentation is concerned with leveraging machines to enhance human intelligence. It’s a partnership between person and machine in which both parties contribute their strengths. It's AI that partners with humans for decision support

For advanced R Shiny applications, R6 classes help you organize your code. The Hows and Whys of using object-oriented programming (OOP) in Shiny applications...

Artificial Intelligence receives a great deal of hype with good reason but is it appropriate for your enterprise? You might want to consider the same tech with a different approach for your decision support system -- Intelligence Augmentation.

Two methods for keeping your Shiny app organized while avoiding hardcoding. Also, a tip for adding multiple languages (internationalization) to your app.

The WhyR Conference was held in Warsaw in 2019. I enjoyed the workshops and keynotes on Natural Language Processing (NLP), geocomputation, spatial analysis, random forests, text analysis, quanteda, data scientist's responsibilities