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In-depth Analysis of Artificial Intelligence Chipset Market Industry Landscape
Machine learning is an essential tool for accessing databases and identifying trends through specific programs. The rise of the Internet of Things (IoT) has significantly increased data generation from various IoT applications, and cloud services play a crucial role in managing this data influx. IGT International has developed a cloud-based IoT analytics solution, offering video analytics that proves valuable in crowd control and monitoring crowd density at public events. These programs demand high computational power and system efficiency to handle the vast amounts of data generated.
Industries such as manufacturing and retail derive substantial benefits from big data, utilizing it for process improvements and advancements. Furthermore, big data plays a vital role in cybersecurity, where AI-based clustering algorithms and pattern recognition contribute to lowering security risks. The realm of big data encompasses both structured and unstructured data, with unstructured data demanding more computing power for faster and efficient results. To efficiently process unstructured data, various approaches are employed. Central Processing Units (CPUs) are effective for structured data, while Graphics Processing Units (GPUs) are increasingly employed for unstructured data. This surge in demand for AI GPU chipsets capable of handling big data analytics reflects the evolving landscape of data processing requirements.
Covered Aspects:| Report Attribute/Metric | Details |
|---|---|
| Segment Outlook | Component, Technology, Application, Verticals, and Region |
Artificial Intelligence Chipset Market Highlights:
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