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Go to: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…
Julie and Neel Shah’s recent article in the Harvard Business Review highlights the crucial role big data and analytics will play in the COVID-19 response, whether in forecasting the spread of the virus or in predictively adapting supply chains. The crisis demands real-time, data-driven decisions. Visualizing anonymized mobile data could be pivotal in combating community…
Build autonomous pipelines that leverage ML/AI insights in downstream applications with Kinetica Introduction Today, our economy is driven by data. Regardless of industry or use case, terms like Machine Learning, Artificial Intelligence, Deep Learning, Natural Language Processing , and Computer Vision have flooded our channels. The big question every industry vertical has to address is: how…
In an effort to improve the overall health of the San Francisco Bay, Kinetica and the San Francisco Estuary Institute have partnered to deploy a scalable solution for autonomous trash detection. Project Background The need for an advanced solution to protect the San Francisco Bay has become evident with more and more plastic leaking into…
While artificial intelligence and machine learning give corporations the ability to act faster with fewer employees than ever before, companies take on a new kind of unprecedented risk, as well. AI and ML algorithms are only as good as the data they learn from. If they are trained to make decisions using a data set…
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