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In an interview with the Wall Street Journal, Matthias Winkenbach , director of MIT’s Megacity Logistics Lab, details how last-mile analytics are yielding useful data. However, big data and the Internet of Things could give delivery drivers and managers a much better idea of how they can reduce costs due to perished goods.
Modern data architecture best practices Data architecture is a template that governs how data flows, is stored, and accessed across a company. Modern data architectures must be designed to take advantage of technologies such as AI, automation, and internet of things (IoT). Real-time dataenablement.
An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. What’s the biggest challenge manufacturers face right now?
The rise of AI-powered chatbots , virtual assistants, and the Internet of Things (IoT) are driving data complexity, new forms and sources of information. “ Thus many organizations are still cut off from the potentials inherent in the seamless sharing of patient data. However, big data poses great challenges.
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Modern factories are full of machines, sensors, and devices that make up the Internet of Things. All of them generate a trail of performance-tracking data. The challenge for manufacturers is to capture all this data in real-time and use it effectively.
Finance : Immediate access to market trends, asset prices, and trading dataenables financial institutions to optimize trades, manage risks, and adjust portfolios based on real-time insights. This immediate access to dataenables quick, data-driven adjustments that keep operations running smoothly.
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