Remove Digital Transformation Remove IoT 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. The platform tier encapsulates the common entry point — an IoT event hub that processes messages sent to the cloud from the edge in real-time.

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Generac’s Tim Dickson on the evolving CIO role

CIO Business Intelligence

They naturally get into the IoT space. They’re now in the IoT space, and what you do with IoT data can help benefit your business through AI and also your customers through AI. You have to have that model trained. These assets start emitting data. It’s just the natural evolution of something.

IoT 126
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Announcing the 2021 Data Impact Awards

Cloudera

In light of a year of unprecedented disruptions, where data has never been so important, and to reflect on the rapidly advancing world of data-led digital transformation, we are excited to announce this year’s 7 categories: DATA LIFECYCLE CONNECTION. DATA FOR ENTERPRISE AI. HYBRID & MULTI-CLOUD INNOVATION. PEOPLE FIRST.

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Cable Companies Are Growing Up

Cloudera

Increasingly, winners are using that data independently of core operations, through data and insights centers of excellence, often dedicated to key business challenges like digital transformation and the network cloud. . The impact of siloed data. Ironically, one of the key questions they can ask is ‘what questions can I ask?’!

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Generac powers business transformation with data, AI

CIO Business Intelligence

Being a company’s first CIO provides room to make your mark, and Generac Power Systems’ Tim Dickson has done just that, moving swiftly to help transform the backup generator manufacturer into an energy technology company. Crucial to PowerInsights’ development was the company’s fast track to the cloud.

IoT 98
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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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CIO 100 Award winners prove the transformative value of IT

CIO Business Intelligence

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory.

IT 98