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HEXStream and Disaster Tech Announce New Partnership Powered by Kinetica

By Kasey Johnson | July 9, 2020

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…

Forecasting Demand During Crisis: GPU Accelerated Recurrent Neural Networks With TensorFlow 2.0

By Nick Alonso | June 8, 2020

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.…

Predicting Demand & Adapting Supply in a Crisis

By Andrew Wooler | May 14, 2020

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 & Disaster Tech Launch Platform for Data-Driven COVID-19 Emergency Response

By Andrew Wooler | May 5, 2020

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…

Active Analytics for a Dynamic Common Operational Picture

By Andrew Wooler | April 29, 2020

The public sector has long sought solutions that deliver a dynamic Common Operational Picture (COP), integrating disparate data sources to provide real-time situational awareness with relevant information on military and civilian assets. However, the prevalence of siloed analytics systems and legacy architecture not built for data at velocity and scale has frustrated efforts to provide…

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