QCon San Francisco 2025: Engineering Leaders to Explore De-Risking GenAI and Agentic AI

John Brown

Member
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The upcoming QCon San Francisco 2025 conference is shaping up to be one of the most anticipated global tech gatherings for software engineers and AI innovators. Focused on de-risking GenAI and agentic AI systems, this event aims to guide senior technical professionals through the challenges of building scalable, production-ready AI infrastructures.

With the growing complexity of AI-driven software development, this year’s QCon will equip engineering leaders with actionable strategies to turn AI experimentation into reliable, enterprise-grade systems. The event will take place from November 17 to 21, 2025, at the Hyatt Regency San Francisco, featuring over a hundred speakers from the world’s leading technology companies. The conference will also highlight AI infrastructure, data governance, security, and scalability - critical components for organizations moving from pilots to production.

The Focus: De-Risking Generative and Agentic AI in Real-World Systems​

In the last few years, Generative AI (GenAI) has transitioned from research labs to the center of modern business transformation. Yet, while many organizations have tested large language models (LLMs) and autonomous agents, few have successfully scaled them into stable, secure, and cost-effective production environments.

QCon San Francisco 2025 aims to fill this gap. Its theme, “De-Risking GenAI and Agentic AI,” zeroes in on real-world engineering practices for mitigating operational, ethical, and performance risks in AI systems. Sessions will cover everything from prompt orchestration and retrieval-augmented generation (RAG) to agent coordination frameworks and multi-agent architectures.

These deep-dive tracks are designed for engineers, data scientists, and technology leaders eager to learn how to move beyond prototypes toward AI systems that deliver business outcomes with stability and security.

A Practical, Engineer-Led Approach to AI Innovation​

Unlike typical AI conferences that emphasize research and theory, QCon San Francisco 2025 is led by practitioners who build and manage these systems daily. Attendees can expect real case studies, proven frameworks, and open discussions on what truly works in production.

Confirmed speakers come from companies such as Netflix, Uber, OpenAI, Microsoft, and Databricks, each presenting their unique approach to AI adoption. Engineers will share their insights on building data pipelines, vector stores, monitoring GenAI models in production, and deploying multi-agent systems that self-learn and self-improve without compromising reliability.

One of the standout sessions, “Engineering at AI Speed: Lessons from the First Agentically Accelerated Software Project,” will dive into how AI agents can autonomously assist in code development while maintaining human oversight - a key strategy for balancing innovation and control.

Key Conference Tracks at QCon San Francisco 2025​

QCon 2025 will feature 15+ thematic tracks, carefully curated to reflect the evolving challenges of modern software engineering. Some of the major tracks include:

  • GenAI in Production – Explore architectures and pipelines that make AI applications scale reliably.
  • Agentic AI Systems – Learn how intelligent agents coordinate, reason, and act autonomously in enterprise systems.
  • AI Infrastructure at Scale – Discover how to integrate vector databases, APIs, and GPUs efficiently.
  • Responsible AI and Governance – Tackle compliance, bias mitigation, and AI audit frameworks.
  • Data Engineering for AI – Understand how to build data systems that support high-performance AI workflows.
Each track is designed to give actionable blueprints they can apply directly within their organizations.

Building a Foundation for Production-Ready AI Systems​

The event emphasizes one critical truth: building AI systems is not just about training models - it's about creating robust, secure, and maintainable architectures.

Through real-world examples, speakers will discuss how to:

  • Design scalable GenAI infrastructure stacks using RAG pipelines.
  • Reduce operational risk through observability and automated testing.
  • Improve data governance to ensure ethical and compliant AI usage.
  • Leverage MLOps for continuous integration and delivery of AI models.
By focusing on de-risking GenAI, QCon 2025 aims to empower teams to build AI systems that align with enterprise reliability standards while maintaining the agility needed for innovation.

Why “De-Risking” Is the Keyword of 2025​

The explosion of GenAI tools has sparked a new wave of innovation - but also new forms of risk. From data leakage and model hallucination to operational costs spiraling out of control, the journey from prototype to production is fraught with challenges.

This is why QCon's 2025 program goes beyond hype and focuses on practical de-risking methodologies. Attendees will gain insights on evaluating risk at every layer from data pipelines and training models to user-facing applications.

With real lessons from industry leaders, the conference provides a unique opportunity to benchmark your company's AI roadmap against the most successful implementations across sectors.

The Human Side of AI Development​

QCon San Francisco 2025 doesn't just focus on technology, it also explores team dynamics, leadership, and ethics in the age of AI. As organizations adopt agentic systems that make decisions autonomously, the human role becomes even more critical.

Sessions will cover how engineering leaders can foster collaboration between humans and machines, ensuring responsible use of AI while maximizing innovation potential. Topics such as AI literacy, team readiness, and cross-functional communication are integrated into the main conference agenda.

What Attendees Can Expect​

Participants at QCon San Francisco 2025 will experience:

  • Hands-on sessions featuring real-world case studies.
  • Networking opportunities with global AI and software leaders.
  • Exclusive insights into production-scale AI systems.
  • Workshops and tutorials on vector databases, orchestration tools, and compliance frameworks.
For those interested in understanding how to balance innovation with safety, QCon 2025 promises to be a must-attend event.

Conclusion​

QCon San Francisco 2025 stands as a defining moment for the global engineering community. By emphasizing de-risking GenAI and agentic AI, the conference bridges the gap between innovation and operational excellence. As AI continues to reshape industries, QCon provides the tools, insights, and inspirational engineers need to build the future responsibly.

For more information or to register for the event, visit the official QCon San Francisco website.

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