Location intelligence company xyzt.ai adds the unique capability to visualize and analyze massive time series data to better understand our dynamic world. Leuven, Belgium, 19 April 2022 – xyzt.ai, a Leuven-based high-tech company offering an innovative visual analytics SaaS (Software as a Service) platform for big temporal location data, announces today it has extended their… Read More
Over the past decades, we have seen a new type of business emerge in the big data industry: DaaS companies. They operate as a SaaS company, but instead of offering Software as-a-Service, they offer Data-as-a-Service. Through online platforms and APIs, clients of DaaS companies can connect to data, query, and download the relevant parts to ingest the data into their pipelines and workflows. Examples include otonomo and INRIX that provide… Read More
xyzt.ai creates new business opportunities for data providers and data analysts in the big data location intelligence domain now allowing its users to share and embed interactive maps of big space-time location data sets Leuven 14 September 2021 – xyzt.ai, a Leuven-based high-tech company offering an innovative visual analytics SaaS (Software as a Service) platform… Read More
xyzt.ai announces the availability of its free trial and gives analysts working with large amounts of geospatial data access to an unparalleled performance to analyze their data. Leuven, Belgium 17 May 2021 – xyzt.ai (www.xyzt.ai), a Leuven-based technology start-up offering an innovative visual analytics SaaS platform for big location data, announces today the launch of… Read More
Leuven, 09 September, 2020 – Our CTO, Bart Adams, has recovered from the UN Global Pulse#AISHackathon, but he couldn’t wait until Feature Friday to showcase our latest feature with you. We are really proud, it’s the result of hard work in the design and implementation of our architecture and algorithms. In this video you see xyzt.ai‘s big data,… Read More
There is this saying that over 80% of all data is spatially referenced. It shows that spatial technologies are important for data-driven insight generation. But I like to take a different approach. What percentage of real-world objects (including people) is digitally referenced? Or in other words: for how many objects and people do we know… Read More
