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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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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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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.

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The Fascinating Benefits of Machine Learning for Web Hosting Monetization

Smart Data Collective

Revolutionizing Performance Optimization The core philosophy of web hosting is ensuring that sites remain accessible and perform optimally at all times. Armed with this data derived straight from the code itself, you can preempt potential issues before they arise and take steps to mitigate them swiftly.

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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 blueprint for a modern data center 

IBM Big Data Hub

Part one of this series examined the dynamic forces behind data center retransformation. Now, we’ll look at designing the modern data center, exploring the role of advanced technologies, such as AI and containerization, in the quest for resiliency and sustainability. AI and containerization are not just buzzwords.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

The answer can be found in the theory of economic rents, and in particular, in the kinds of rents that are collected by companies during different stages of the technology business cycle. Then the cycle begins again with a new class of competitors, who are forced to explore new, disruptive technologies that reset the entire market.