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Floating Cubes
Problem

Expert resources spending time on manual, static reporting processes

Subject matter experts and valuable resources spend time manually assembling disparate data sources and information to generate one-time, static reports.
Inhibits these Capabilities
Ability to view realtime actionable intelligence
Data Language regularly delivers the capability for staff, partners, and all business users to use live, real-time intelligence data.
Leads to these Problems
SME resources wasted on low-value manual tasks
Staff become frustrated with arduous and inefficient legacy technology
Caused by these Problems
Important Business Data is isolated in Data Silos
Seen in these Maturity Models
Artificial Intelligence Engineering Maturity Model
Stage 1: Early Interest: Consideration of AI potential - Maturity Stage
At this maturity stage, a business is potentially in a mixture of states of mind. Some teams may be overly excited, and others cautious.
Artificial Intelligence Engineering Maturity Model