Remove Optimization Remove Predictive Modeling Remove Recreation/Entertainment
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The role of IoT in shaping smart cities

CIO Business Intelligence

Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. For residents, IoT-enabled homes allow for the remote management of lighting, temperature, security, and entertainment systems.

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Decoding Intelligence in OTT Platforms | Role of AI in Media & Entertainment

bridgei2i

Decoding Intelligence in OTT Platforms | Role of AI in Media & Entertainment. The Media & Entertainment industry is one such realm that sees exceptional potential for AI use cases in the coming years. Naturally, the change in consumer behavior prompted media companies to change their business models.

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Predictive Analytics Use Case: Online Target Marketing!

Smarten

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Marketing Optimization. Customer Targeting.

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Predictive Analytics Use Case: Customer Targeting!

Smarten

If an organization is going to successfully target customers and make optimal use of its marketing budget, it must understand customer buying behavior, and categorize its products and services to target the right customer segments and preferences. Marketing Optimization. Predictive Analytics Using External Data. Customer Churn.

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Cable Companies Are Growing Up

Cloudera

They are using that data to optimize operations, troubleshoot operational and customer problems, and understand as much as they can about their customers’ consumption, buying patterns and preferences. Anthony Behan is an industry recognised innovator and evangelist for the power of data and AI in telecommunications, media and entertainment.

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3 Key Components of the Interdisciplinary Field of Data Science

Domino Data Lab

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

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Of Muffins and Machine Learning Models

Cloudera

By logging the performance of every combination of search parameters within an experiment, we can choose the optimal set of parameters when building a model. This might require making batch and individual predictions. CML supports model prediction in either batch mode or via a RESTful API for individual model predictions.