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6 ways generative AI can optimize asset management

IBM Big Data Hub

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

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7 Ways Data Analytics Is Boosting the ROI Of Digital Marketing

Smart Data Collective

They make up an aspect of marketing focused on using the internet and cloud-based technology to promote brands. But driving sales through the maximization of profit and minimization of cost is impossible without data analytics. Focused and targeted campaigns boost sales by engaging optimally with the audience.

ROI 117
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

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.

Big Data 275
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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Open source solutions reduce risk.

Analytics 108
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How Encored Technologies built serverless event-driven data pipelines with AWS

AWS Big Data

This post is a guest post co-written with SeonJeong Lee, JaeRyun Yim, and HyeonSeok Yang from Encored Technologies. Encored Technologies (Encored) is an energy IT company in Korea that helps their customers generate higher revenue and reduce operational costs in renewable energy industries by providing various AI-based solutions.

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The case for predictive AI

CIO Business Intelligence

It’s easy to think about these pieces of technology in two separate categories: one creates something new, the other forecasts future outcomes. The primary objective of Predictive AI is to extract valuable insights and make informed predictions based on available data.

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.