With the boom of AI in recent years, organisations cross-industry have found it easy to develop AI pilots that deliver technically. But there's still one glaring problem that business leaders face when it comes to AI implementation:

"Our pilots work...but how can we make them scalable and reusable on a company-wide level?"

Very often, the shortage of resources would be addressed as the hurdle. But after many years of working closely with executives to develop their AI strategies, we've seen that this is not the case. The real issue is that businesses fail to create a way to collect proprietary data for AI reinforcement.

This 2-hour interactive workshop will provide you with a proven framework (the "Data Harvesting Loop") that addresses this issue.

The Data Harvesting Loop is a (Nexus-born) framework that guides leaders to making AI solutions scalable and defensible for their businesses by focusing on identifying the right data to be harvested. The core principle behind Data Harvesting Loop is based on the notion that an AI solution can only scale if it is continuously reinforced by the unique data a business owns.