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Building a vision for real-time artificial intelligence

CIO Business Intelligence

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Artificial Intelligence, IT Leadership, Machine Learning It isn’t easy.

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In-depth analysis of artificial intelligence techniques for emotion detection: State-of-the-art, approaches, and perspectives

Dataconomy

The advancement of artificial intelligence provides new opportunities to automate these processes by leveraging multimedia data, such as voice, body language, and facial expressions. These models can be trained on annotated datasets, where each vocal recording is associated with a specific emotion.

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Creating an artificial intelligence 101

Dataconomy

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. Understanding artificial intelligence Before diving into the process of creating AI, it is important to understand the key concepts and types of AI.

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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO Business Intelligence

For successful AI deployments, IT leaders not only need the latest GPU/CPU silicon, they also need artificial intelligence (AI) servers that establish a foundation. That architecture lets ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces.

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Getting a foothold in the 5G applications ecosystem

TM Forum

Application developers have a critical role to play in generating innovative uses of 5G networks, as T-Mobile in the US made clear with its recent. Yet there has been no stampede by communications service providers (CSPs) to repeat the attempts made during the early days of 4G to create an application ecosystem.

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3 reasons why every real-time application needs AI

CIO Business Intelligence

We’re at a critical juncture for how every organization calibrates their definition of “fast” and “smart” when it comes to apps—which brings significant implications for their technology architecture. There’s a key difference between applications that serve “smarts” in real time and those capable of “getting smarter” in real time.