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The AI continuum

CIO

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. AI’s broad applicability and the popularity of LLMs like ChatGPT have IT leaders asking: Which AI innovations can deliver business value to our organization without devouring my entire technology budget?

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How companies around the world apply machine learning

O'Reilly Media - Data

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). These are battle-tested platforms used in production, some at extremely large scale.

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Making AI accessible leads to greater innovation

CIO

As noted in the AFR earlier this year “huge demand for expertise in cloud software, along with AI and machine learning skills, business intelligence and data analysis to support automation and virtualisation efforts have added to the talent hunt for technology staff.” Artificial Intelligence

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Crisis Management in the Digital Age: Lessons for 2024’s Unpredictable Economy

N2Growth Blog

By utilizing machine learning to streamline processes and leveraging data analytics to gain a deeper understanding of customer behavior, digital tools provide innovative solutions to today’s economic challenges. It is the driving force behind the shift from traditional brick-and-mortar businesses to the virtual world.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Intelligenza artificiale e gen AI: i quattro elementi per passare al “next level”

CIO

L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%). Le reti neurali sono il modello di machine learning più utilizzato oggi.

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Why You Should Embrace Machine Learning – You Can’t Afford Not to

Datavail

were unsuccessful in fulfilling their aspirations of implementing Machine Learning (ML) systems in 2021. That reality presents a barrier to ML implementation in 2022, as emerging innovations in these autonomous computing systems are built on their earlier foundations. Recent research indicates that most companies (80%!)