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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

To companies entrenched in decades-old business and IT processes, data fiefdoms, and legacy systems, the task may seem insurmountable. Develop a strategy to liberate data . Another option is a data warehouse, which stores processed and refined data. IntelĀ® Technologies Move Analytics Forward.

Analytics 115
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The Reason Many AI and Analytics Projects Failā€”and How to Make Sure Yours Doesnā€™t

CIO Business Intelligence

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.

Analytics 137
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A Beginnerā€™s Guide to Embedded Analytics and BI

Jet Global

As analytics technology evolves, so do user needs and expectations. Many customers approach us hoping to boost their applicationā€™s analytics capabilities, which are often struggling to meet user demand. How to Accelerate Your Analytics Project: Organizations are feeling the need to fast-track their analytics projects.