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Business Intelligence tools & use cases

Apiumhub

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

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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%!)

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The AI continuum

CIO

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? Fortunately, most organizations can build on publicly available proprietary or open-source models. Learn more. [1]

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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. Holding onto old BI technology while everything else moves forward is holding back organizations.

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Re-Thinking the Storage Infrastructure for Business Intelligence

Infinidat

Re-Thinking the Storage Infrastructure for Business Intelligence. Successful digital transformation moves organizations towards much more data-centric business models where those that can best drive value for their customers and their own companies out of the data they collect are the winners. Adriana Andronescu.

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Sport analytics leverage AI and ML to improve the game

CIO

Computer vision, AI, and machine learning (ML) all now play a role. Here are three examples of how international sports organizations are using AI and ML to change the way players and coaches approach their sports. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.

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