Christoph Best is a Data Scientist at Google who tries to answer the question: Does advertising work? Generally, it's easier to evaluate online advertising performance than offline. In this episode, Christoph talks about his approach how to run geo-experiments, their importance and his overall experience running such experiments. Moreover, he touches upon general marketing terms such as Mix Modeling and Attribution Modeling in order to bring all theses topics into context.

Alex Kolokolov is an expert on dashboard creation. In fact, he is in the business of selling dashboards. In this episode, he shares his process of creating a dashboard that people use.

Nina Meinel is a Senior Data Scientist at Springer Nature and a wonderful person to talk to about Marketing Data Science. She combines many years of research and industry experience with Marketing data. Nina shares how she and her team at Springer Nature tackle the complicated attribution problem.   

Rhys is the Co-founder of MONT FORD, an Artificial Intelligence Recruitment agency. Rhys is responsible for leading the Bavaria team and supplying AI specialists in Computer Vision, Machine Learning, and Data Science. Rhys is different then the usual recruiters. He makes it personal. That’s why he is also a great person to talk to.

How do you break into the field of Big Data? What are the cultural differences in the US vs Europe? And how does the world of sports analytics looks like? Navid played as a professional soccer player and then moved into the world of data science. He currently works as a Data Scientist at Kehl's, an American department store retail chain.

Fabien Nieto Sandoval is a SEO and Digital Marketing Consultant. Fabien has studied Integrated Marketing at NYU and consults clients across continents. He explains what SEO is and how companies in Europe and the US are applying it to increase their visibility on platforms like Google. We also address how AI is impacting SEO and what tools are currently trending.

Simon Stiebellehner is a University lecturer,  Lead MLOps Engineer and a well-rounded speaker in the space of data science. In this episode, Simon shares what actually MLOps is, who is benefiting from it and what are the challenges to get from prototype to production. 

Gerard Cardoso is a Data Scientist with a keen eye for value creation. He has both the academic credentials as well as business experience of executing data projects. He studied Mathematical Science at the University of Bath and a Master's in Business Analytics at University College London. Gerard, formerly worked as Business Analyst at Accenture and Portfolio Data Scientist at Founders Factory. Now he is the Senior Data Scientist at nPlan, a company that is building the world's first system to understand construction project planning. In this episode, Gerard shares his perspective of the strategic processes a company should deploy in order to create value from data. He addresses topics such as data collection, team management, agile data science and data quality.