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MRO spare parts optimization

IBM Big Data Hub

trillion, up from USD 864 billion in 2019 to 2020. Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0 Over time, inventory managers have tested different approaches to determine the best fit for their organizations. Results may vary.

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How Can You Use Machine Learning to Optimize Pricing in FinTech?

Smart Data Collective

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. By processing and analyzing big amounts of data, they can help you establish optimized pricing plans. Hire machine learning to make optimal pricing decisions. Do an A/B testing and find out. How exactly?

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Introducing the 2019 Data Heroes – EMEA!

Cloudera

A Data Architect: Organizations who show how they optimized their modern data architecture, and creatively integrated platforms into their organization’s infrastructure. T-Mobile Austria – Uses HDP to improve on both the network footprint and quality, ranking them first in the Connect Test by P3 Communications.

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TensorFlow Optimization Showdown: ActiveState vs. Anaconda

KDnuggets

In this TensorFlow tutorial, you’ll learn the impact of optimizing both operators and entire graphs, how to efficiently organize data in training and testing datasets to minimize data shuffling, and how to identify a well-optimized model using Anaconda and ActivePython.

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Cathay Pacific to take cloud journey to new heights

CIO Business Intelligence

Instead, the publicly held operator of Cathay Pacific Airlines and HK Express is shifting from migration to optimization mode in an effort to wrest additional benefits from its all-in cloud transformation. Enhanced automation and self-service will also be emphasized as part of the cloud optimization strategy, Nair says.

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The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.”

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Prescriptive analytics is the application of testing and other techniques to recommend specific solutions that will deliver desired business outcomes. The suite of tools included a digital value stream map, safety stock optimizer, inventory corridor report, and planning cockpit. Prescriptive analytics: What do we need to do?