Last month we released an interview series with our founders, Amit Vij and Nima Negahban. We asked them to touch on some of the hottest topics in the data and analytics community today, such as machine learning, the optimal architecture for analytics at scale, and how to be developer-friendly. Below we’ve collected some of the highlights. You can check out the full series here!
On Location Intelligence
NN: “With Kinetica’s heritage from the intelligence space, we’ve been treating location data, location analytics, and their unique challenges, as a first-class citizen that we’ve been building a product around from the very beginning. We have a distributed, hardware-accelerated, geospatial visualization engine…so that you’re able to visualize very quickly, and take advantage of location data.”
On Machine Learning
AV: “Many times organizations have a separate machine learning cluster or AI cluster, and they have to move data from one technology to another. With Kinetica, everything is consolidated into a single platform that can run accelerated analytics, but also your machine learning models, right within our data warehouse.”
On Being Developer-Friendly
NN: “One of the big advantages of Kinetica is we’ve created a single platform that allows you to do very complex analytics across a wide variety of compute disciplines in a way that is intuitive for your developers. What this results in is not only better creativity for your developer teams, but an extremely reduced TCO, as you don’t have to manage various siloes of capability and infrastructure, and you don’t have to invest hundreds of hours in incremental, minor capability enhancements.”
On the Optimal Architecture
AV: “Many commercial and federal entities are trying to evolve to the ideal modern architecture with the leading, bleeding technology, to enable the three V’s of data: velocity, volume, and variety. For an organization to take value out of data at this scale and speed, they many times try to integrate several technologies…that are duct-taped or stitched together. In doing so, they get a lot of performance degradation, as many of these technologies are not ideally integrated.”
Andrew Wooler is global marketing manager at Kinetica.
