Remove Digital Transformation Remove Internet of Things Remove Machine Learning 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. That’s where a lot of the artificial intelligence and machine learning is applied.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

2) MLOps became the expected norm in machine learning and data science projects. 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.

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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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