24. November 2018No Comments

Human-Centered Machine Learning

Machine learning (ML) is the science of helping computers discover patterns and relationships in data instead of being manually programmed. It’s a powerful tool for creating personalized and dynamic experiences, and it’s already driving everything from Netflix recommendations to autonomous cars. ... Read the full article

6. November 2018No Comments

Prioritize Which Data Skills Your Company Needs with This 2×2 Matrix

Data skills — the skills to turn data into insight and action — are the driver of modern economies. According to the World Economic Forum, computing and mathematically-focused jobs are showing the strongest growth, at the expense of less quantitative roles. ... Read the full article

27. October 2018No Comments

What Does a Fair Algorithm Actually Look Like?

In some ways, artificial intelligence acts like a mirror. Machine learning tools are designed to detect patterns, and they often reflect back the same biases we already know exist in our culture. Algorithms can be sexist, racist, and perpetuate other structural inequalities found in society. ... Read the full article

25. October 2018No Comments

Your Data Literacy Depends on Understanding the Types of Data and How They’re Captured

The ability to understand and communicate about data is an increasingly important skill for the 21st-century citizen, for three reasons. First, data science and AI are affecting many industries globally, from healthcare and government to agriculture and finance. ... Read the full article

24. October 2018No Comments

Help Your Team Measure Customer Experience Data More Accurately

Customer experience (CX) goes beyond measuring the relationship between customers and companies; it is also about quantifying the hundreds of regular interactions and residual memories that influence future behavior. ... Read the full article

24. October 2018No Comments

Algorithms can’t fix societal problems—and often amplify them

At research organization AI Now’s 2018 symposium in New York last night (Oct. 16), activists and artificial-intelligence researchers drove home the idea that algorithms are an insufficient Band-Aid slapped on top of deeper societal problems present in the United States. ... Read the full article

23. October 2018No Comments

How to avoid an AI interaction singularity

The ways in which we address societal as well as personal challenges are inherently linked to the technologies to which we have access. ... Read the full article

16. October 2018No Comments

Help Your Team Understand What Data Is and Isn’t Good For

Leaders today increasingly turn to big data and advanced analytics in hopes of solving their most pressing problems, whether it’s a drop-off of repeat customers, a shift in consumption patterns, or an attempt to reach new markets. ... Read the full article

14. October 2018No Comments

5 Ways Your Data Strategy Can Fail

There are plenty of great ideas and techniques in the data space: from analytics to machine learning to data-driven decision making to improving data quality. Some of these ideas that have been around for a long time and are fully vetted, proving themselves again and again. ... Read the full article

6. October 2018No Comments

Data Ethics Is Paying Off for French Insurance Company

News. The French insurance company MAIF is probably one of the first companies in the world, who can claim that it pays to treat other people’s data ethically responsible. Where is the money? For years impatient data ethics skeptics have demanded documentation that data ethics is paying off. ... Read the full article

Get in touch,
hello[aet]thomas-otto.net

Thomas Otto is a User Experience Designer in Berlin, Germany. As an experienced designer he is working on digital projects in the fields of user research, interaction design and data strategy.