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Breaking down the advantages and disadvantages of artificial intelligence

IBM Journey to AI blog

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. AI operates on three fundamental components: data, algorithms and computing power.

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The Sequence Radar #516: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good

TheSequence

The opinion edition discusses whether NVIDIA is the best VC in AI. The engineering installement explores a new AI framework. 📝 Editorial: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good NVIDIA’s GTC never disappoints. The research edition explores the amazing Search-R1 model. It’s 1.5x

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Full Steam Ahead: NVIDIA-Certified Program Expands to Enterprise Storage for Faster AI Factory Deployment

NVIDIA

AI deployments thrive on speed, data and scale. Thats why NVIDIA is expanding NVIDIA-Certified Systems to include enterprise storage certification for streamlined AI factory deployments in the enterprise with accelerated computing, networking, software and storage.

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Tableau vs Power BI: Which is The Better Business Intelligence Tool in 2024?

Pickl AI

billion by 2028, with a CAGR of 13.6% from 2022 to 2028. This growth reflects the rising demand for advanced BI tools like Tableau across various industries, cementing its role as a leader in Data Visualisation. Data Connectivity Tableau and Power BI offer robust data connectivity, but some differences exist.

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Why Enterprises Need AI Query Engines to Fuel Agentic AI

NVIDIA

Data is the fuel of AI applications, but the magnitude and scale of enterprise data often make it too expensive and time-consuming to use effectively. Because of the extremely high volume and various data types, most generative AI applications use a fraction of the total amount of data being stored and generated.

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