ThirdEye Data

Technology Consulting/Tech Services - San Jose, California, US

ThirdEye Data Details

Transforming Enterprises with AI Applications - ThirdEye Data leverages Artificial Intelligence, & Big Data technologies to build AI applications for enterprises worldwide. -A Silicon Valley based one-stop-shop for Data Engineering and Data Science services & products. https://thirdeyedata.ai ++++Data Science Services++++ ThirdEye implements AI applications leveraging Big Data technologies for higher business value to end customers. -- Artificial Intelligence -- Machine Learning -- Predictive Modelling -- Deep Learning -- Neural Networks -- Natural Language Processing https://thirdeyedata.io/data-sciences/ ++++Data Engineering Services++++ ThirdEye transforms organizational knowledge into insights for more informed and timely business decisions with the best possible TCO. -- Analysis & Recommendations -- Infrastructure Implementations -- Strategic Advisor -- Product Development -- Custom Apps, POCs, Demos -- Benchmarking & Performance Tuning https://thirdeyedata.io/data-engineering/ ++++Managed Cloud Services++++ Taking a technology & vendor agnostic perspective, ThirdEye provides Managed Cloud services that ensure fully cloud-hosted end-to-end solutions running optimally at the lowest TCO. -- Amazon AWS -- Microsoft Azure -- Google Cloud Platform https://thirdeyedata.io/managed-cloud-services/ ++++Marquee Clients++++ Walmart, Microsoft, Xperi, Southern California Edison, Amgen, Amazon, Google, Intel, Nokia, Box, Nimble Storage, GettyImages, Inter-American Development Bank, AbsolutData, FreedomPop, Symantec, Nor1, Chegg, Newegg, Apple*, PayPal*, Cisco* and a host of companies worldwide. ++++ Data Science Technologies++++ TensorFlow, SciKit, SparkML, Caffe, Theano, Azure ML, H2O, Amazon SageMaker, ++++ Data Engineering Technologies++++ Apache Hadoop, Hive, Pig, MapReduce, Zookeeper, Oozie, Scoop, Impala, Apache Spark, Spark SQL, Spark Streaming, Apache Kafka, Kafka Streaming, Storm, HBase, Cassandra, MongoDB, Airflow, Kibana, Presto,Dockers, Kubernetes

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Employees: 60
HQ: (408) 462-5257
Location: San Jose, California, US
Revenue: $3 million
Big Data Hadoop Business Intelligence Analytics Bluemix Map Reduce HBase Hive IBM Amazon Microsoft Cloud computing kafka data sciences artificial intelligence machine learning azure data engineering deep learning apache spark spark ml mongodb impala MapReduce Google Cloud Computing data science AI Azure
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