Orchestrate Analytics with an Agile Machine Learning Architecture

Orchestrating people, processes, and technology separates winners from losers. To apply algorithms to the data deluge, technical professionals need an agile analytics architecture. For those who may not be familiar with analytics and machine learning, this guide provides a high-level understanding of the different types of analytics, answers common questions, and explains typical users and technologies. It includes key considerations for creating an agile machine learning architecture.  

Success with TIBCO:

3 vs. 10-12

Months to develop a real-time system with TIBCO Streaming vs. open source

Over $1 million

In projected opportunities

3 Months

Time to learn Spotfire and develop the first analysis model

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