2) Data Collection & Access Strategy

Make data contextual, and accessible

i. Clean data is essential to building a successful and robust AI, but it’s often siloed by rigid architectures, and legacy data might be stored offline.

ii. A comprehensive data management strategy can help fuel a more universal AI framework; If your data is available for contextualization and accessible to learning and real-time processing performance, security and value will be improved.

iii. An institutional knowledge retention strategy and knowledge sharing strategy needs to integrated into any solution.

Next Section -

Contextualize It

AI STAIRCASE

• AI_Staircase
• 1)_Data_Modernization
• 2)_Data_Collection_&_Access
• 3)_Organization_Needs
• 4)_Build_AI_Distribution_Platform
• 5)_Infuse_AI_into_Organization
• 6)_Immersive_Computing_AR/VR/XR
• 7)_Data_Monitor_&_Updates
• Take_The_First_Step
• Account_Login

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