Mark O'Brien

Many enterprises can point to successful individual data products, but far fewer have created a repeatable model for delivering value across domains. This opening discussion examines the decisions that distinguish organisations building sustainable product ecosystems from those accumulating disconnected products, platforms and pipelines.

• Defining what good looks like beyond the first successful products

• Aligning ownership, governance, funding and delivery around business outcomes

• Creating the conditions for adoption, reuse and measurable enterprise value

As AI accelerates the volume and sophistication of generated and modified content and regulation increases expectations around transparency, external data products need to offer customers more than access to content. They need to provide confidence in where that content came from, how it has changed, and which provenance claims are trustworthy.

Drawing on Shutterstock's experience packaging hundreds of millions of image, video and audio assets alongside the metadata that makes them discoverable and usable, this session explores how metadata, provenance and transparency are becoming core product capabilities and what it takes to deliver them at scale.

• Turning content and metadata into trusted external data products that customers can confidently consume

• Scaling metadata and provenance across hundreds of millions of assets without compromising usability

• Moving beyond simple "AI-generated" and "AI-edited" labels as the boundaries between creation and modification become increasingly blurred

• Embedding provenance and traceability throughout the product lifecycle while responding to evolving transparency and regulatory requirements