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Sentenai Delivers Automated Data Engineering for Data Science and Machine Learning Applications

By   /  November 22, 2017  /  No Comments

by Angela Guess

A recent press release states, “Sentenai, an emerging sensor data technology company, today announced the availability of its flagship product, the Sentenai Sensor Data Cloud. By going beyond the initial harnessing of machine-based data and understanding the information that data provides, organizations can streamline their operational processes and develop predictive maintenance solutions that decrease unplanned downtime. With its Sensor Data Cloud, Sentenai is empowering businesses and their data scientists to build on sensor-based applications by allowing them to access historical data in the tools they already use, without requiring any data engineering work. Enterprise IoT devices, or the Industrial Internet of Things (IIoT), is gaining momentum at an exponential rate. Industrial sensor devices are fundamentally transforming the way organizations do business with other companies, with recent data indicating enterprise IoT spending could hit $1.477 trillion by 2020 with more than 7 billion enterprise IoT devices in use.”

Rohit Gupta, co-founder and CEO at Sentenai, noted, “The term IoT has become a part of the general vernacular, but the IIoT is the new frontier, and the foundation of modern industrial growth… Industrial machine data is being produced by nearly every application and device in an organization, and it contains definitive, time-stamped records of activities such as sensor readings, maintenance statuses, condition and state information, alarm flags and user activities. Sentenai was created to help organizations capitalize on the power of their machine data, gaining access to real-time, industrial intelligence that can improve service levels, reduce costs, mitigate security risks, maintain compliance and drive better business decisions.”

Read more at Marketwired.

Photo credit: Sentenai

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