Three Conferences, One Future-Driven Vision for IT

In a world where IT is constantly evolving, DevOpsCon, MLCon and AI Engineering Summit each play a key role in redefining how we build, deploy, and enhance software.

While DevOpsCon focuses on continuous delivery, automation, container technology, and secure software development within the Kubernetes ecosystem, MLCon dives into the power of artificial intelligence and machine learning. Both conferences address today’s most pressing IT challenges: faster development cycles, increasing quality demands, and the growing need for scalable, secure, and intelligent solutions.

DevOpsCon showcases how teams can accelerate delivery using microservices, cloud-native infrastructure, and CI/CD pipelines, while seamlessly integrating security from the first line of code. From SAST/DAST to open-source risk management and cross-team collaboration, it’s all about building reliable systems with speed and confidence.

MLCon, On the other hand, explores the strategic impact of AI. From algorithms and models to tools and real-world use cases, attendees gain deep insights into how machine learning is driving data-driven decision-making and accelerating innovation. For companies, MLCon is also the perfect platform to present their solutions to a highly engaged audience of decision-makers and early adopters in the AI space.

Together, these events bring together top experts, cutting-edge technologies, and high-value networking opportunities, each with its own focus, but united by one goal: actively shaping the future of IT.

AI Engineering Summit, As artificial intelligence continues to transform software development, AI Engineering Summit explores how organizations can move beyond experimentation and make AI an integral part of their engineering processes.

From coding agents and AI assistants to agentic workflows and AI-powered development, the summit focuses on improving the way software is built, tested, reviewed and delivered. Key topics include AI engineering practices, enterprise AI governance, security, legacy modernization and the architecture needed to bring AI into production.

Through practical sessions, interactive Problem Labs and hands-on workshops, attendees gain valuable insights into adopting AI in a reliable, secure and sustainable way.