AI Technology: Overhyped or Super-Smart DNA?
Infographics
Everywhere you look, products are promising artificial intelligence capabilities. But how can you determine the potential od your AI? By understanding how measurements inform machine learning (ML) and, ultimately, AI-driven decision-making, you can tune out the hype and focus on real leaps forward.
AI has 3 common DNA markers:
1 - Measurement Quality
Digital twins based on high-fidelity digital models deliver the best data for AI/ML.
2 - Algorithm Quality
AI accuracy is determined by how tailored your algoriths are to your applications and how they relate to expected responses.
3 - Knowledge of Workflow Automation
Your AI needs to understand how, at a system level, multiple iterative ML output could work together to optimize the desired outcome.