Rocket-Powered Data Science

JULY 6, 2021

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.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

CIO Business Intelligence

AUGUST 20, 2024

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

IT IoT Internet of Things Optimization 122

CIO Business Intelligence

JUNE 20, 2022

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.

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

CIO Business Intelligence

DECEMBER 19, 2024

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

IT IoT Machine Learning Optimization 52

AWS Big Data

NOVEMBER 14, 2023

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 58

IoT Data-driven Data Lake Data Strategy 58