Behavioral Insights.

1. The newest blog post from Avinash Kaushik where he shares 10 marketing and 10 analytics things to obsess about in 2019: Deliver Step Change Impact: Marketing & Analytics Obsessions
    
2. LinkedIn analyzed millions of LinkedIn member profiles, job openings, and salaries, to determine the best jobs for career opportunity, Based on salary, career advancement, number of job openings, year-over-year growth in job openings, and widespread regional availability, these are 2019’s Most Promising Jobs in the U.S.
    
3. Many companies are building their own experimentation platform to make it as easy as possible for every colleague to run a well-designed experiment. One of those companies is Booking.com. In this article by Lukas Vermeer he stresses the need of experts familiar with the entire software stack to be involved in the process and end-users understanding specific details of underlying systems. Leaky Abstractions In Online Experimentation Platforms
    
4. With the rise of smart speakers and other intelligent assistants like Siri and Alexa, Nielsen Norman performed a diary study. They asked people what they want intelligent assistants to do, what they are already doing with assistants and how many of the users’ ideal needs are addressable with today’s assistants: What Could an Intelligent Assistant Do for You? A Diary Study of User Needs
    
5. Finland is putting 1% of their population through AI courses—not so they have a bunch of developers, but to create citizens that know enough about the tech to make informed decisions about AI's role in the country's future: Finland's grand AI experiment
    
6. Part of the opening speech of Arjan van den Born, Academic Director of the Jheronimus Academy of Data Science (JADS): "We must always remember that data is just there to help us answer questions. And it is up to human creativity to ask these right questions. We believe instead that sets of interesting, well-designed experiments will be able teach us more than any Orwellian state will learn. To conclude; data science will lead to more happiness if we will not forget that Data Science is NOT about IT, it is about ideas behind technology." Algorithms should contribute to the Happiness of Society
    
7. And to wrap it up ...Marketoonist's funny take on this time of the year where we are bombarded with Marketing Predictions: