• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Principles of AI Digital Twins: Strategy, governance, and Artificial Intelligence Integration between Real and Virtual Worlds

Principles of AI Digital Twins: Strategy, governance, and Artificial Intelligence Integration between Real and Virtual Worlds

Paperback

Series: Agentic Governance and Architecture

Business GeneralTechnology & Engineering

ISBN13: 9798904980245
Publisher: Cybersoft Publishing LLC
Published: May 9 2026
Pages: 270
Weight: 0.80
Height: 0.57 Width: 6.00 Depth: 9.00
Language: English
Most digital-twin programs fail at a layer that has nothing to do with technology. The sensors connect, the simulation engines run, and the dashboard renders. Then the program stalls. Why? Because no one established who owns the data, who is authorized to act on the outputs, and what quality standard is required before consequential decisions are made. Without an enterprise architecture and data governance foundation, your investment is not a digital twin-it is an expensive operational dashboard. As competitors scale Industry 4.0 capabilities, relying on disjointed data silos and unverified predictive models leaves you vulnerable to unplanned downtime, integration tax, and compliance risks.

Also from

Louis-Charles, C.

Also in

Business General