Crowdworks Hosts Enterprise AI Conference

Crowdworx's 'Real World Enterprise AI' conference, which heated up Samseong-dong, Seoul, concluded successfully. The event presented practical solutions for effectively implementing AI and creating business value in real enterprise environments, drawing keen interest from experts in the field. Approximately 100 AI practitioners from various sectors, including finance, IT companies, and public institutions, attended the conference held at InterContinental Parnas on the 29th, engaging in in-depth discussions on current issues such as agentic AI implementation strategies, model evaluation methods, and enterprise AI education. In his welcome address, Crowdworx CEO Kim Woo-seung emphasized that "securing high-quality data is key to AI success," asserting that AI technology has moved beyond mere potential to a stage where it creates tangible business value. CTO Yang Soo-yeol pointed out challenges businesses face when adopting generative AI, such as data leakage, AI bias, and sustainable cost-effectiveness (ROI), and introduced Crowdworx's agentic AI solution 'Alpy' as a powerful tool that solves these difficulties through the latest multi-LLM and prompt engineering. CBO Hwang Su-ho stressed the importance of managing AI models as enterprise-wide assets and establishing a central organization with clear role divisions for this purpose. Furthermore, presentations on AI education design and the current status of medical AI utilization by subsidiaries like Crowda Academy and Doctorworx, along with the sharing of vivid AI implementation and verification cases by partner companies such as NICE D&B, Yuanta Securities, and Dailylab, provided attendees with practical inspiration and insights. Through this conference, Crowdworx solidified its position as a comprehensive 'trusted AI partner,' covering everything from AI data acquisition and customized agentic AI development to model evaluation and specialized AI education. Moving forward, the company plans to actively support enterprises in their successful AI transformation and lead the domestic enterprise AI ecosystem.