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MRO spare parts optimization

IBM Big Data Hub

Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient. Do you have purpose-built algorithms to improve intermittent and variable demand forecasting?

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Practical advice to optimize savings with cloud migrations

CIO Business Intelligence

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. It’s an issue that’s coming to the fore with the steady migration to the cloud.

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The Hybrid Cloud Forecast: Part 3

IBM Big Data Hub

I have talked to guests who turned from being software experts to hardware experts, who went from working on Java compilers to developing AI-optimized mainframe chips, from research to consulting, and more.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

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5 Tips For Choosing The Right Digital Analytics Consulting Company

bridgei2i

5 Tips For Choosing The Right Digital Analytics Consulting Company. For optimum utilization of your corporate data to drive revenue and growth into your company, you can outsource your data sourcing, modeling, and analysis strategy to a digital analytics consulting company. The Digital Analytics Market is forecast to reach $5.2

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You Can Optimize GPT If You Understand its Limitations!

Smarten

GPT-4 has a capacity of more than 175 billion machine learning parameters, and can support many types of tasks, e.g., answering questions, providing machine translation, summarizing text, time series forecasting, etc. If we are to safely and securely optimize its potential, GPT must be managed as it evolves.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective.