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6 ways generative AI can optimize asset management

IBM Big Data Hub

Generate work instructions Field service technicians, maintenance planners and field performance supervisors comprise your front-line team. Using a hybrid AI or machine learning (ML) model, you can train it on enterprise and published data, including newly acquired assets and sites.

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Machine learning developers are beginning to look at an even broader set of risk factors. Sources of model risk.

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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

The current generation of AI systems is powered by machine learning , a technology that involves learning by example rather than waiting for humans to manually code rules into a computer system. Deploy the machine learning model into production. Is autonomy a realistic promise or is it simply marketing hype?

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Ongoing Decision Improvement Drives Decision Excellence

Decision Management Solutions

This means that understanding the structure of your decisions, tracking how you made them, mapping your decisions to business metrics and key performance indicators is essential. With a strong decision management platform in place, you can use what you learn to rapidly change and update your decision-making approach.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Also, datasets are accessed for ML, data exporting, and publishing needs. Data outbound Data is often consumed using structured queries for analytical needs.

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6 Tips for Building a Successful AI Software Business

Smart Data Collective

Launch the Perfect Software Publishing Business by Creating Stellar AI Applications. Modern software publishers are creating applications that rely on machine learning and other AI algorithms. For this, you have to analyze the key performance indicators (KPIs).

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The Very Best Digital Metrics For 15 Different Companies!

Occam's Razor

People ask me this seemingly simple question all the time: What Key Performance Indicators should we use for our business ? and tell you what are the best key performance indicators (metrics) for them. The metrics you elevate to Key Performance Indicators rarely stay there forever – that would be suicide.

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