With the rapid advancements in artificial intelligence (AI), engineering teams face the challenge of effectively implementing scalable AI solutions. In response to this growing need, QCon AI has announced an upcoming event that promises to focus on practical, real-world AI applications for senior developers, architects, and engineering leaders.
Scheduled for December 16-17, 2025, in New York City, QCon AI aims to provide attendees with valuable insights into how teams are successfully building and scaling AI systems in production environments. The event will delve into crucial topics such as MLOps, system reliability, cost optimization, and more, offering actionable strategies that attendees can apply in their own projects.
Unlike events that are filled with hype and theoretical discussions, QCon AI distinguishes itself by emphasizing practical approaches and tangible results. Attendees can expect to learn from industry experts and practitioners who are actively engaged in AI implementation, ensuring that the insights shared are rooted in real-world experiences and challenges.
One of the key highlights of QCon AI is its focus on delivering actionable takeaways that attendees can immediately put into practice within their organizations. This emphasis on practicality ensures that participants leave the event with valuable knowledge and strategies that can drive their AI initiatives forward effectively.
By bringing together a community of professionals who are at the forefront of AI implementation, QCon AI offers a unique opportunity for networking, knowledge sharing, and collaboration. Attendees can connect with like-minded individuals, exchange ideas, and gain new perspectives that can inspire innovative approaches within their own teams.
Overall, QCon AI represents a valuable opportunity for engineering teams to gain practical insights, learn from industry experts, and discover proven strategies for implementing and scaling AI solutions. As the demand for AI continues to grow across industries, staying informed and equipped with actionable knowledge is essential for engineering teams to succeed in today’s rapidly evolving technological landscape.