From Afterthought to Advantage: Rethinking Data Collection in AI

Join DataForce Founder Alex Poulis and Senior Manager and Solution Architect Radek Jez for a live webinar focused on a common challenge in AI development: data.

While model innovation gets much of the attention, data collection is often where projects slow down or fall short. This session takes a practical look at how teams are approaching data differently to support better outcomes.

In this session, you’ll learn:

• Why delaying data collection creates hidden project risks
  How late-stage data gaps can impact timelines, budgets, and model performance and how to identify them early
• Where data collection efforts break down
  Common inefficiencies, from low-quality sourcing to weak validation, and how to build more effective pipelines
• How leading AI teams scale data strategically
  How top organizations structure data collection across geographies, modalities, and use cases and how to apply these approaches to your own workflows