Today's guest is Clemens Viernickel, CEO and Co-Founder at SiaSearch in Berlin. Building robust, industrial AI like automated driving is extremely difficult. Everyone thinks about algorithms, but up to 75% of engineering time is spent on highly manual tasks, namely manually reviewing and selecting masses of data instead of building algorithms.


That is why Clemens and his team developed SiaSearch, a data management platform which automatically extracts frame-level, contextual metadata and utilizes it for fast data exploration, selection and evaluation. Automating these tasks with metadata can more than double engineering productivity and remove the bottleneck to building industrial AI.


In the episode, Clemens will tell you about:


His journey to founding SiaSearch,


Problems they are solving at SiaSearch within data management,


The impact of Deep Learning and Computer Vision,


Why do data science projects fail?,


& What the future holds for SiaSearch