Remove tag data-centers
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Time for a data center refresh? Get ahead of the growing digital landscape with a modern data center strategy

IBM Journey to AI blog

There are times, though, when organizations prefer to keep certain applications and data in their own data center—security and compliance requirements or control of sensitive data for example. Migrating to the cloud versus a data center refresh is a complex decision.

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AMD’s Strategic Play: Acquisition of Nod.ai to Challenge Nvidia’s Dominance

Unite.AI

It streamlines the deployment of AI models across AMD's diverse product range, from expansive data centers to compact edge devices. Nvidia's products, while advanced, come with a hefty price tag. Nod.ai's flagship product, the SHARK automation software, has proven to be a game-changer.

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How to use AI to build powerful market research tools

AssemblyAI

Market research platforms offer users valuable market research tools that analyze qualitative and quantitative audio, video, and text-based customer feedback, so users can gain insights from the data. Produce digestible insights that can be easily categorized, tagged, and searched. What is a market research platform?

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8 Ways Automatic Speech Recognition Can Increase Efficiency For Your Business

AssemblyAI

Consider the recorded calls from a call center, the videos of the sales team with potential clients, or the weekly podcast your marketing team produces. While this content offers a gold mine of data, this information often goes to the wayside. Don’t let your data go to waste—put it to work.

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Top 3 ways to enhance AI video editing tools with Speech AI

AssemblyAI

Speech AI for AI video editing Speech AI models can be used to build tools that transcribe and analyze large amounts of video and audio data, making them well-suited for AI video editing tools and platforms.   Large Language Models (LLMs) : Large Language Models, or LLMs, are another powerful analysis tool for voice data.

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AI News Weekly - Issue #343: Summer Fiction Reads about AI - Jul 27th 2023

AI Weekly

hubspot.com AI lesson for Microsoft and Google: Spend money to make money Microsoft said costs rose sharply as it built new data centers to support AI and that capital expenditures will continue to rise as it buys chips from the likes of Nvidia Corp (NVDA.O) to power those data centers.

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6 considerations to take when approximating cloud spend

IBM Journey to AI blog

Additionally, many struggle to capitalize on the cloud’s full potential due to initial cloud costs, which are driven up by inefficiencies or cost overruns due to “lifting and shifting” applications or underestimating data transfer costs.