Working inside the Engine Room of AI (with Volkswagen Financial Services)

Reid Hoffman, Co-founder of LinkedIn, once said “AI is going to reshape every industry and every job.” And artificial intelligence (AI) is inconceivable without the large amounts of data it is being fed – billions of data produced by us using computing systems and digital technology day in, day out. In this episode with TU Alumni Tatiana Pier and Henning Feiertag, we explore this mega trend of systematically extracting information and knowledge from data for making smart business predictions and decisions – particularly, since TU Braunschweig offers a range of degree programs teaching Data Science and AI related knowledge. Tatiana and Henning both work for an employer whose products predominantly consist of data and they shed some light on the different job roles that deal with big - and sometimes small - data. Tatiana, for instance, works as a Data Scientist whereas Henning has the complimentary role as Cloud Data Engineer. Tatiana creates AI models for helping her business colleagues with improving products and generating greater value. Henning, on the other hand, concerns himself less with data analysis and more with software engineering and infrastructure management, for example detecting security vulnerabilities - all the while dreaming of AI ridding him and his colleagues of as many “not so pleasant tasks” as possible. Tatiana has some good news, too: Mankind will not be sudued by a fully autonomous AI system like “Skynet”, the fictional artificial neural network-based general superintelligence from the movie “Terminator” any time soon! Curiously, she even expects “people using AI being replaced by people not using AI” in the future job market. So: still some time to get your head around the topic! And both alums have some practical tips such as micro learning opportunities and a book tip to share.