Remove Artificial Intelligence Remove Automotive Remove Innovation
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Why Automotive Manufacturers Require Real-Time Decisioning

VoltDB

The automotive industry is more reliant than ever on real-time data – and not just the manufacturers but also the dealers. Some industry experts are even seeing the automotive industry’s use of real-time data as a pioneering chapter for real-time data in general that will soon spread to other industries.

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AIOps and observability: The sense-think-act model for modern observability

Dynatrace

AIOps and observability—or artificial intelligence as applied to IT operations tasks, such as cloud monitoring—work together to automatically identify and respond to issues with cloud-native applications and infrastructure. Think’ with artificial intelligence. This is where artificial intelligence (AI) comes in.

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Tokenized Roadways and Micropayments: Bitcoin and the Future of Autonomous Vehicles

Tech News Gather

Among these, the automotive sector stands out as a particularly promising field where blockchain can redefine the future of transportation. To address this, innovative solutions must be explored. This development has the potential to redefine the concept of ownership and asset management in the automotive industry.

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Henry Ford Does AI

O'Reilly

During the final years of the 19th century, Daimler and Benz made many innovations on the way to the first machine generally recognized as an automobile: a high-speed internal combustion engine, the four-stroke engine, the two-cylinder engine, double-pivot steering, a differential, and even a transmission. What does innovation mean?