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Kinetica Selected for Inc.’s Best Workplaces of 2020

By Andrew Wooler | May 8, 2020

Inc.’s Best Workplaces 2020 awards this week confirmed what we at Kinetica already knew — that Kinetica is a great place to work! After surveying a record 370,000 employees nationwide, from more than 3,000 companies, Inc. ranked all the employers using a composite score of survey results, and Kinetica came out a winner! We’re in…

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…

Proactive Cybersecurity with Kinetica

By Andrew Wooler | April 27, 2020

Cyber attacks are increasing in speed and sophistication, challenging organizations to become proactive, rather than reactive, in their response to an evolving threat environment.  Cybersecurity in particular calls for a shift from passive to active analytical techniques, given the need to ingest high-velocity network data and simultaneously analyze the data to uncover connections and identify…

Kinetica & SFEI Featured on NVIDIA’s AI Podcast

By Andrew Wooler | April 23, 2020

On Ep. 116 of The AI Podcast from our friends at NVIDIA, Lorenzo Flores of the San Francisco Estuary Institute (SFEI) sits down with host Noah Kravitz to discuss how SFEI is harnessing machine learning to automate trash detection in the San Francisco Bay.  The episode highlights how SFEI are tackling the immense challenge of…