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BUILD IOT INTELLIGENCE WITH OUR IN-DEPTH EXPERTISE IN
AWS MACHINE LEARNING AND AZURE MACHINE LEARNING

Machine learning accelerates your IoT vision for your connected products and smart services, and enhances RoI by greatly improving operational efficiencies and customer experiences in your business. It can analyze much more data than is physically possible, and provide more, faster and better conclusions, which can help digitize and streamline business processes for rapid decision making and execution without human intervention. Machine learning complements big data, which can potentially be used to train, test and retrain machine learning models.

Thinxtream has extensive expertise in Machine Learning for enabling real-time response, based on the instantaneous sensor data and predictive analysis of historical data generated from your Connected Products and Smart Services.

We have extensive expertise and experience with Amazon® and Azure® Machine Learning solutions.

AMAZON MACHINE LEARNING
AZURE MACHINE LEARNING

IoT solutions can enable quick responses to customer requirements.

Connect with us today to explore machine learning solutions for your IoT data.

AMAZON MACHINE LEARNING EXPERTISE

As an AWS Technology Partner, Thinxtream uses Amazon Machine Learning to develop intelligent IoT solutions.

IoT data can enable accurate predictions.

Connect with us today to explore machine learning solutions for your IoT data.

AZURE MACHINE LEARNING EXPERTISE

Thinxtream has had a long partnership with Microsoft® and uses Azure® Machine Learning, Microsoft’s integrated, end-to-end data science and advanced analytics solution, with extensive support for industry standard open-source libraries and toolkits to develop intelligent IoT solutions.

IOT MACHINE LEARNING WHITEPAPER

device management,m2m,iot,iot solutions,iot services,iot platforms

With Connected Products, your business is faced with an increasing demand to instantly respond to an anomaly, fraud, or a potential disaster

Read our IoT Edge Analytics & IoT Machine Learning White Paper to understand how IoT Edge Analytics and Machine Learning enables real-time response, based on the instantaneous sensor data and predictive analysis of historical data.

Also read our Data Exploration, Analysis & Anomaly Detection for IoT White Paper to understand the application of Azure and AWS machine learning modules, and an out-of-the-box Azure service Time Series Insights to detect anomalies in sensor data, conduct root-cause analyses, and avoid costly downtime of Connected Devices.

Interested in discussing your
IoT Machine Learning needs?