What if a digital twin could let you test a business decision before it disrupted your business? Once the preserve of robotics, manufacturing and supply chains, AI is helping digital twins become a practical way to model everyday business decisions, from whether your team can take on another client, what happens if a supplier fails, how a staff shortage affects a schedule, or where a production workflow is likely to bottleneck.
In this week's episode, Kyle is away so Jess is joined by Rich Welsh, President of SMPTE (the Society of Motion Picture and Television Engineers) and Chairman of Volustor, to unpack what digital twins actually are and why AI is making them more accessible to smaller businesses.
AI can pull together information from the systems you already use, help turn your knowledge of a process into a working model, and spot patterns across schedules, customer behaviour, supplier data and workloads that a human team is unlikely to see in time.
They cover how to start with one process rather than trying to model the entire business, how AI agents can monitor what \"normal\" looks like and flag early warning signs, and how a digital twin can help you test a change before it costs you time, money, or customer trust.
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Timestamps:
00:56 What Is an AI Digital Twin?
02:44 Welcome Rich Welsh
05:33 Defining an AI Digital Twin: From 3D Scans to Industrial Process Models
08:32 How AI Digital Twins Apply to Small Businesses, Not Just Supply Chains
11:26 Why Small Businesses Need an AI Digital Twin
13:46 Building an MVP with an AI Digital Twin: Lessons From Robotics and Space
15:04 The Flip Side: Building an AI Digital Twin of Your Ideal Customer
17:11 Using an AI Digital Twin to Predict How Your Team and Customers Will React
22:08 Walmart's AI Digital Twin and Why External Factors Need Real AI to Track
24:37 The AI Digital Twin That Predicted a Formula One Car Failure Before It Happened
31:46 Why a Hybrid Local and Cloud AI Model Wins on Cost
37:34 Digital Twins Everywhere by 2030
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