The IBM Center for Applied Insights has a few ongoing blog series. See below for the list of series.
Social Signals: Did you know that smoke signals are one of the oldest forms of long-distance communication? What’s interesting about them is that their meaning was not universally known or understood. The people using them predetermined what the puffs meant, and this was understood only by their group. Interpreting what’s being said across social networks can be just as mysterious, since people communicate in so many ways and enterprises may have their own interpretations of the chatter. This blog series will be sharing social conversation patterns we’re seeing on various topics, often related to our studies.
Blogger Beat: Have you been curious about our bloggers and where their inspiration comes from? What is it about our top bloggers’ posts that piques audience interest time and time again? And, if their content is so thought-provoking, are the experts themselves just as fascinating? In this blog series, we will be featuring some of our most engaging bloggers to share a little more about what makes them tick.
P-TECH interviews with IBM executives: P-TECH, or Pathways in Technology Early College High School, is one way that IBM is helping to address the technology skills gap while transforming vocational education and pioneering a new vision for college and career readiness. In this blog series, the P-TECH student who interns with the IBM Center for Applied Insights conducts a series of interviews with IBM executives to explore topics such as technical skills necessary for business today, addressing technical skills gaps and preparing students for the future, and how technology integrates with education.
Data Diaries: Data is the new natural resource but it’s easy to get lost in the numbers. Everyone knows how empowering insights can be, but it’s easy to forget that at its core, data is human – it represents people. In this video blog series, the IBM Center for Applied Insights will be sharing a video of someone “geeking out” about a piece of data that resonates with them to highlight the human element of data.