About this event
Poor geospatial annotation quality isn't just a technical issue—it's a business risk that directly impacts model performance and operational costs across defense, environmental research, logistics, resource industries and more. The biggest challenge in geospatial dataset development? Maintaining annotation quality while scaling operations to meet growing demands. Every organization building geospatial datasets faces this trade-off. Scale too quickly, and quality suffers. Focus only on quality, and you can't meet operational needs.
Enabled Intelligence has tackled these exact obstacles across defense, climate research, logistics, and other critical sectors. On June 27th, they're sharing their proven approaches in a webinar hosted by Kili Technology. This exclusive 60-minute webinar reveals proven strategies for scaling geospatial labeling operations while maintaining the precision your AI models demand.
What you'll discover:
→ Real-world obstacles in scaling data quality (and strategic solutions)
→ Proven frameworks for coordinating expert teams
→ How Kili Technology addresses traditional scaling bottlenecks
→ Approaches that maintain quality at scale
Kili Technology
Build high-quality, trustworthy datasets for powerful AIKili Technology empowers data scientists to build high-quality data for training, evaluating and fine-tuning AI models. It's a robust annotation tool with powerful collaboration and quality workflows, and flexible and secure deployment options.
