CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Data and AI as digital fundamentals.

Manufacturing 144

Manufacturing Digital Transformation IoT Internet of Things 144

CIO Business Intelligence

AUGUST 16, 2023

Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis. Since the route optimization came into place, fewer emptyings are required, he notes. A third area to be optimized is the salting of roads during the winter.

Risk 79

Risk Cost-Benefit Digital Transformation Internet of Things 79

Corinium

APRIL 25, 2019

And more recently, we have also seen innovation with IOT (Internet Of Things). All assets need to be optimally leveraged for maximum business value while also being protected from misuse, whether there was malicious intent or not, and this needs to be the responsibility of whomever is responsible for that asset in the company.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

NOVEMBER 14, 2023

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. Real-time streaming data technologies are essential for digital transformation.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Perhaps if machine learning were solely being used to optimize advertising or ecommerce, then Agile-ish notions could serve well enough. evaluate the effects of models on human subjects.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. The evolution of data engineering reflects this. 1 overall term.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20