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Go to:As more and more data becomes available from sensors, from customers, from transactions—much of it with time and location information—there are increasing demands to analyze these data sets and visualize the results on maps. But today’s geospatial toolsets are hardly up to the task. Spatial databases weren’t designed for a world where IoT systems might…
Big News! We’re excited to share HEXstream and Disaster Tech’s new partnership, powered by Kinetica, to help utilities make better and faster decisions for emergency planning, response, and restoration.How does Kinetica fit into all of this? Well, Disaster Tech‘s Data-science Integrated Collaboration Environment (DICE) offers the world’s first comprehensive, end-to-end data aggregation and data science platform. Leveraging high-speed…
When machine learning models fall victim to anomalies, real-time up to date data, accelerated model training, and an agile deployment process become critical in the response effort. Introduction Even the most slick, well designed forecasting models can fall victim to anomalies like the COVID-19 pandemic. Think back to shortages in toilet paper and face masks.…
The COVID-19 crisis has exposed and exacerbated the challenges faced by organizations in predicting consumer demand and continually adapting highly complex supply chains that function at a global scale. The unprecedented fluctuations in demand during the crisis, where consumers stock up on necessities while abandoning other categories entirely, emphasizes the need for a more continuous…
Kinetica and Disaster Tech launched the COVID-19 Real-time Crisis Management Platform today, which can combine and track crucial COVID-19 emergency response data, like hospital capacity, alternative medical sites, testing kit quantities, and protective equipment availability–all accessible in real time so that emergency responders can make data-driven decisions when they matter most. Disaster Tech CEO Sean…
In the press
