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Articles by Amar Surjit
Stream data from Amazon MSK to Apache Iceberg tables in Amazon S3 and Amazon S3 Tables using Amazon Data Firehose | Amazon Web Services
In today’s data-driven/fast-paced landscape/environment real-time streaming analytics has become critical for business success. From detecting fraudulent transactions in financial services to monitoring Internet of Things (IoT) sensor data in manufacturing, or tracking user behavior in ecommerce platforms, streaming analytics enables organizations to make split-second decisions and respond to opportunities and threats as they emerge.
Orbital Systems makes sustainable water use something people can enjoy
(Editor’s note: This article is the latest installment in a series by Amazon Science delving into the science behind products and services of companies in which Amazon has invested. The Alexa Fund invested in Orbital Systems in April 2022.) Americans use an average of 60 gallons of clean water per person inside their homes each day, nearly half of which goes to toilets and showers. Low-flow fixtures and other conservation strategies have reduced per-capita consumption since the 1980s.
Empathic machines: using intermediate features as levers to emulate emotions in text-to-speech systems
Job summaryAWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on building automated ML solutions for planetary-scale sustainability and geospatial applications. Our team's mission is to develop ready-to-use and automated solutions that solve important sustainability and geospatial problems. We live in a time wherein geospatial data, such as climate, agricultural crop yield, weather, landcover, etc., has become ubiquitous.
Data-driven fault identification is key to more sustainable facilities management
In a previous article on sustainable buildings, we talked about the approach of “sense, act, and scale” to drive efficiencies in buildings, and provided information using scientific publications.
Extreme multi-label classification from aggregated labels
Job summaryAWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on building automated ML solutions for planetary-scale sustainability and geospatial applications. Our team's mission is to develop ready-to-use and automated solutions that solve important sustainability and geospatial problems. We live in a time wherein geospatial data, such as climate, agricultural crop yield, weather, landcover, etc., has become ubiquitous.
A zero attention model for personalized product search
Job summaryAWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on building automated ML solutions for planetary-scale sustainability and geospatial applications. Our team's mission is to develop ready-to-use and automated solutions that solve important sustainability and geospatial problems. We live in a time wherein geospatial data, such as climate, agricultural crop yield, weather, landcover, etc., has become ubiquitous.
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