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From edge to cloud: The critical role of hardware in AI applications

CIO Business Intelligence

All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. Hardware innovations become imperative to sustain this revolution. So what does it take on the hardware side? For us, the AI hardware needs are in the continuum of what we do every day.

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What are the “true costs” of Business Intelligence?

mrc's Cup of Joe Blog

Summary: While implementing Business Intelligence can drive revenue and save money, some businesses overlook many of the deployment and ownership costs of BI. In this article, we explore some of the “true costs” of Business Intelligence. The same is true for Business Intelligence.

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The AI continuum

CIO Business Intelligence

Classical machine learning: Patterns, predictions, and decisions Classical machine learning is the proven backbone of pattern recognition, business intelligence, and rules-based decision-making; it produces explainable results. Retraining, refining, and optimizing create efficiency so you can run on less expensive hardware.

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Seekr finds the AI computing power it needs in Intel’s cloud

CIO Business Intelligence

The company needs massive computing power with CPUs and GPUs that are optimized for AI development, says Clark, adding that Seekr looked at the infrastructure it would need to build and train its huge AI models and quickly determined that buying and maintaining the hardware would be prohibitively expensive. Clark says.

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Where Is Artificial Intelligence In Forrester's Tech Market Numbers? It's Hiding

Forrester IT

I have gotten some inquiries about where spending on artificial intelligence and cognitive technologies occur in our tech market numbers (see, for example, " US Tech Market Outlook For 2017 And 2018: Mostly Sunny, With Clouds And Chance Of Rain "). There is precedence for this pattern in the BI and analytics market.

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Three predictions for AI and automation business adoption

CIO Business Intelligence

In 2023, enterprises worldwide spent $166 billion on AI solutions (AI software, hardware, and services), but that spending is expected to grow 27% per year to $423 billion by 2027, according to IDC’s report. Hardware spending will drive up the cost of AI adoption,” said Fleming. “So

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Gen AI without the risks

CIO Business Intelligence

Here are six tips for developing and deploying AI without huge investments in expert staff or exotic hardware. Don’t reinvent the wheel—start with a foundation model A business could invest in developing its own models for its unique applications. Not at all.

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