AI Across Product Concept to Commercialization

Some brands can respond to a market shift in weeks. Most take months. The difference isn't effort, it's how connected their decisions are across the product lifecycle.

Tariffs move. Costs move. What customers want moves faster than either. The brands closing that gap aren't working harder, they're removing the friction between sourcing, planning and design so those decisions stop happening one at a time.

That's where AI actually earns its place, not as a feature bolted onto the process, but as the thing that closes the distance between a signal and a decision. It only works if the data behind it is connected and the model making the call can be trusted.

This session brings three perspectives into one conversation: Infosys on what's actually changing in the market, Anthropic on what it takes to trust the model behind the decision, and Centric what it takes to connect the product data underneath it. Together, a live look at how connected data shortens the distance from concept to commercialization.

What you'll walk away with:

• Where the real bottleneck sits, not effort, but disconnected decisions across sourcing, planning and design

• Why trusting the model matters as much as connecting the data behind it

• What's already speeding up decisions today, and what's still just a slide

• What it actually takes to get an AI pilot past the pilot stage

• A live look at the connected approach in practice, from concept through commercialization