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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Financial services: Develop credit risk models. from 2022 to 2028.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

We use to collect data from 6,500+ utility bills we receive globally each year and summarize total energy consumption, cost, and renewable electricity purchases across to save many hours of calculations. These models also help estimate where carbon is stored, how long it will take to degrade, and more.

IoT 77
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Bringing an AI Product to Market

O'Reilly on Data

You must detect when the model has become stale, and retrain it as necessary. Products based on deep learning can be difficult (or even impossible) to develop; it’s a classic “high return versus high risk” situation, in which it is inherently difficult to calculate return on investment. Modeling and Evaluation.

Marketing 363
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MLOps and the evolution of data science

IBM Big Data Hub

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How the models are stored.

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The most valuable AI use cases for business

IBM Big Data Hub

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

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How Big Data Analytics & AI Combined can Boost Performance Immensely

Smart Data Collective

When you combine big data with AI, you can help your users extract highly-valuable insights from data, foster data literacy across your company or organization, and take advantage of the many other benefits it offers. Improves decision making and reduces costs. High-performance data systems and MapReduce.

Big Data 106