Shawn Douglass: Mainly two things: First, getting meaningful analytics require us to collect data on and off the block. Second, the ecosystem is still very young, and we see a (fragile) balance between cutting-edge new research (consensus algorithms) and other problems which have been solved for a few years already.
Q: What do you think a listener will get out of this this talk vs. other talks on distributed data processing and data versioning that they've previously heard?
About the Startups Track
The data-oriented Startups Track at DataEngConf features dozen of startups forging ahead with innovative approaches to data and new data technologies. We find the most interesting startups at the intersection of ML, AI, data infrastructure and new applications of data science and highlight them in technical talks by their CTOs and lead engineers who are building these platforms.