Remove Digital Transformation Remove Internet of Things Remove Modeling Remove Predictive Modeling
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Otis takes the smart elevator to new heights

CIO Business Intelligence

IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. With the advent of the internet of things, most physical things can now be monitored, controlled, updated, and even operated remotely,” Berntz says.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. MLOps “done right” addresses sustainable model operations, explainability, trust, versioning, reproducibility, training updates, and governance (i.e.,

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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

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