Remove Digital Transformation Remove Internet of Things Remove Predictive Modeling
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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. From my perspective, that was the single most significant data innovation trend of the year 2020.

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IT modernization leads to smarter cities, empowered by AI and edge

CIO Business Intelligence

For these cities, fortifying Internet of Things (IoT) sensor and device vulnerabilities to combat cyberthreats is a key concern. Implementing this secure, interconnected smart city framework has the potential to yield significant results, transforming city services for the better.

IT 122
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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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Climate tech opportunities for IT pros

CIO Business Intelligence

Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts. This is where machine learning algorithms become indispensable for tasks such as predicting energy loads or modeling climate patterns.

IT 52
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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

Real-time streaming data technologies are essential for digital transformation. These services help customers bring data to their applications and models, making them smarter. The probability results are also stored in Amazon S3 to continuously retrain the model in SageMaker.

IoT 59