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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

Enterprises do not operate in a vacuum, and things happening outside an organizations walls directly impact performance. So, it is essential to incorporate external data in forecasting, planning and budgeting, especially for predictive analytics and machine learning to support artificial intelligence.

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Rapidminer Platform Supports Entire Data Science Lifecycle

David Menninger's Analyst Perspectives

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

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The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Today, enterprises are leveraging various types of AI to achieve their goals. Learn more about how Cloudera can support your enterprise AI journey here.

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5 tips for transforming company data into new revenue streams

CIO Business Intelligence

Enterprises worldwide are harboring massive amounts of data. Interest in turning enterprise data into new revenue is soaring. It tracks user interactions, which enterprises can then use to fine-tune their website or marketing efforts, he explains. If a data breach occurs, it can deeply damage an enterprises reputation.

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Predictive Analytics Supports Citizen Data Scientists!

Smarten

To accomplish these goals, businesses are using predictive modeling and predictive analytics software and solutions to ensure dependable, confident decisions by leveraging data within and outside the walls of the organization and analyzing that data to predict outcomes in the future.

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Data Insights for Everyone — The Semantic Layer to the Rescue

Rocket-Powered Data Science

The semantic layer achieves this by mapping heterogeneously labeled data into familiar business terms, providing a unified, consolidated view of data across the enterprise. The decision-makers and data science modelers can fluidly share inputs and outputs with one another, to inform their role-specific tasks and improve their effectiveness.

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Assisted Predictive Modeling Guide Users Through the Maze

Smarten

What is Assisted Predictive Modeling? Assisted Predictive Modeling is a great way to provide support for your users and your organization. Yes, plug n’ play predictive analysis must truly be plug and play! Predictive analysis does not have to be tortuous or confusing.