Manage episode 239478260 series 1418007
Data-as-a-service businesses offer paid access to data sets. These data sets can be useful for building products or training machine learning models.
There has been steady growth in the tools and practices around processing and storing data. But access to data sets remains a bottleneck for widespread development of machine learning applications in a large set of domains.
SafeGraph is a company focused on the problem of data-as-a-service. Today, SafeGraph’s primary product is reliable, up-to-date location information on places. The data for these points-of-interest needs be acquired, verified, cleaned, made accessible through an API, and intelligently priced.
In previous episodes with SafeGraph, we have explored the basic premise of data businesses and why they are important platforms for building futuristic data products that are impossible for entrepreneurs to build today. SafeGraph CEO Auren Hoffman returns to the show to discuss the data as a service business model.
Software-as-a-service has existed as a category for more than a decade. Infrastructure-as-a-service has existed for just as long. Data-as-a-service is much more undeveloped. Auren recently published the “Data-As-A-Service Bible: Everything You Wanted To Know About Running A DaaS Business”. This was a very useful article, as it breaks down a category of software that is almost entirely unexplored.
Sponsorship inquiries: email@example.com
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