Having recently released the beta version of our GPU accelerated database qikkDB 🚀 we headed over to the US 🇺🇸 to Detroit and San Francisco to discuss the opportunities a GPU accelerated database can unlock in various industries that stream big data, analyze big data & base their businesses on this data.
First up was Integr8 – a industry 4.0 conference in Detroit. Visiting the Motor City, we’ve turned our attention to the automotive industry and many use cases that this data-heavy industry has. Coming from Slovakia – the largest car manufacturer per capita in the world – we know a thing or two about their data needs. Especially today & tomorrow, with the upcoming shared car economy – ride planning needs to be fast and capable to handle peak times when the demand for rides is highest, such as morning commute.
We’ve discussed other uses for autonomous cars and, such as dynamic pricing & demand matching for potentially millions of new users and connected car services like parking planning.
After a quick catch up with our colleagues from the Adastra group in the Detroit office it was time to head to California. We’ve met with EIT – an organization supported by the European Union that aids European companies in the US.
We also visited an impressive tech incubator at Stanford University, where we presented qikkDB. It was interesting to share this Bay Area experience with other successful Slovak companies like Sli.do, and the representatives from the Slovak Embassy.
All the discussions showed us the potential that many industries have for faster data processing. As we’re preparing qikkDB for the first use cases the future of real-time big data looks very promising ☀️
Check out the qikkDB GPU accelerated database web & join our beta power user cohort! 🚀