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How to Use AI and Analytics to Drive Digital Transformation and Improve Efficiencies

Dataversity

A chaotic global economy and the rush to digital transformation has forced many organizations to reduce operational expenses and cut costs during this unprecedented time. The post How to Use AI and Analytics to Drive Digital Transformation and Improve Efficiencies appeared first on DATAVERSITY.

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Navigating the Future of AI in Energy: Trends, Challenges, and Opportunities

Cprime

Generative AI in Energy and Materials FAQs addressed in this article: What is generative AI’s role in the energy and materials sector? How does Gen AI improve predictive maintenance in the energy sector? Can Gen AI enhance resource exploration in the energy sector?

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. They have undergone significant transformation since then, with modern warehouses housing largescale terabyte capacities.

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6 Ways AI is Transforming Marketing Forever

Smart Data Collective

You’ve dabbled in digital marketing, visited trade shows, paid for print advertising, and incentivized customer testimonials. Marketing requires multiple approaches to succeed, so while you should stick with the things you’ve been doing successfully, you’ll also want to include artificial intelligence (AI) in your current strategy.

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Analyst’s corner digest #17

Analysts Corner

yours, Igor [link] BA Skills & Processes 1) Turn guesses into estimates with Wideband Delphi by Karl Wiegers Most software professionals must provide estimates for their work, but few of us are skillful estimators. Many of us haven’t been trained in estimation techniques. Top stories published in September 2023 Hi there!

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AI and Data Management: How Intelligent Systems are Changing the Game

Astera

Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data. These sources generate vast amounts of unstructured data that require advanced AI techniques to effectively capture and analyze it.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

Data Pine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?