Kinetica in Motion
GPU-Accelerated Deep Learning: Object Detection Using Transfer Learning With TensorFlow
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 …
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The Internet Of Things Is Powering The Data-Driven Fourth Industrial Revolution
The Fourth Industrial Revolution is data-driven. And a primary reason for this is the rise of the internet of things (IoT). Connected devices from the consumer level to the industrial are creating—and consuming—more data than ever before. Last year, IoT …
Read MoreIoT Investment Has to Begin Now
It’s been widely reported that the IoT market is expected to generate significant market opportunity – upwards of $267 billion — by 2020. Numbers aside, one of the main drivers is the rapid growth of IoT and connected devices consumed …
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Smart Vending Machines Deliver On Data
Indonesian digital payments platform launches vending machines that engage with you Vending machines are ubiquitous in Asia, selling everything from umbrellas to shirts and ties, hot drinks to whole coconuts. And the pace is picking up in Indonesia, a country …
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Analyzing Meetup RSVPs with Kinetica Part 4: Predicting Meetup event attendance with Kinetica Active Analytics Workbench
In previous articles we have shown you how you can use Kinetica to collect geospatial streaming data from Meetup.com and visualize it using either Kinetica Reveal or a custom application connecting to the database using Javascript API. These days, visualizing …
Read MoreAnalyzing Meetup RSVPs with Kinetica Part 3: Visualizing and Analyzing Data in Custom Web Applications With Kinetica
In the previous post, we showed you how to import our Meetup.com data into the Kinetica database, and use Reveal to analyze and visualize this data. What if you want to create your own application to include this data …
Read MoreAnalyzing Meetup RSVPs with Kinetica Part 2:
In the first part of this series we talked about new emerging types of data, how traditional databases might not be the best tool to process it, and what Kinetica can do to make the lives of developers and analysts …
Read MoreAnalyzing Meetup RSVPs with Kinetica – Part One
Introduction Geospatial data is everywhere. Mapping directions, tracking a package, and reading a weather report are all examples of how we use geospatial data in our daily lives. In recent years, the nature of geospatial data has changed. Data is …
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Bring Your Deep Learning Model to Kinetica
How can we avoid the data science black hole of complexity, unpredictability, and disastrous failures and actually make it work for our organizations? According to this recent Eckerson article the key is operationalizing data science: We, as a field, and …
Read MoreIntroducing Kickbox.js, a Code Acceleration Library for Kinetica and Mapbox
The explosion of mobile phones, connected cars, and the Internet of Things has enabled us to capture, store, and share geospatial information at unprecedented scale. Location intelligence is taking over the world, powering innovative services like autonomous vehicles, location-based offers, …
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