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. Digital alerts Another project deals with slow-moving vehicles, something that increases the risk of accidents on the roads.
CIO Business Intelligence
AUGUST 4, 2023
What are some of the steps that you are taking to foster a culture of innovation and experimentation amongst the employees and customers, and encourage them to move towards digital transformation in in their work? Artificial Intelligence, Digital Transformation, Internet of Things What does sustainability look like for WABTEC ?
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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.
CIO Business Intelligence
MAY 10, 2023
focuses on driving mobility and tapping on the then-nascent Internet of Things, the subsequent phase prominently features technology such as artificial intelligence and machine learning and ways to extend their use across every aspect of the business. Whereas digital transformation in its earliest iteration—digital transformation 1.0—focuses
Corinium
APRIL 25, 2019
For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.
Domino Data Lab
MAY 8, 2019
That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. Ergo, less interpretable.
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.
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