Conference Description
Key Takeaways
- Red Hat Summit: Connect 2026 Santiago focuses on enterprise AI adoption with an emphasis on data sovereignty and open source flexibility
- The conference addresses hybrid cloud infrastructure, automation, application modernisation, security, and edge computing
- Industry-specific content covers automotive, financial services, healthcare, industrial, media, public sector, and telecommunications sectors
- Format includes keynotes, technical panels, hands-on product demonstrations, expert consultations, and networking sessions
- Designed for IT leaders, architects, developers, and technology decision-makers from mid-to-large enterprises
Introduction
Red Hat Summit: Connect 2026 Santiago brings enterprise IT professionals together to examine how organisations can implement artificial intelligence strategies while maintaining control over their data and infrastructure. Scheduled for October 27, 2026, at Hotel Mandarin in Santiago, Chile, the conference targets technology leaders navigating the complexities of AI adoption within regulated industries and large-scale operations. The event arrives at a moment when enterprises across Latin America face mounting pressure to deploy AI capabilities without sacrificing data sovereignty or becoming locked into proprietary ecosystems.
About This Event
Red Hat Summit: Connect represents the regional extension of Red Hat’s flagship annual conference, bringing the company’s technology portfolio and strategic vision directly to local markets. The Santiago edition focuses specifically on how open source principles can address the unique requirements of Latin American enterprises, particularly those operating under strict data residency regulations or seeking alternatives to cloud-dependent AI solutions.
The single-day programme combines executive-level keynotes with technical deep dives, allowing attendees to engage with content appropriate to their roles. Customer case studies feature prominently, offering practical examples of how organisations have implemented Red Hat technologies to solve specific operational challenges. Hands-on demonstration areas provide direct access to Red Hat AI, Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform.
Data Sovereignty and the Enterprise AI Challenge
The conference positions data sovereignty as a central concern for enterprises pursuing AI initiatives. Unlike consumer AI applications that can operate with relatively relaxed data handling requirements, enterprise AI deployments must often comply with industry regulations, national data protection laws, and internal governance policies that dictate where data can be stored and processed.
For organisations in financial services, healthcare, and the public sector, these constraints are not optional considerations but fundamental requirements that shape technology architecture decisions. The ability to run AI workloads on infrastructure that remains under organisational control—whether on-premises, in a private cloud, or across a hybrid environment—becomes essential rather than merely preferable.
Open source platforms offer a potential path through this challenge by providing transparency into how software operates, avoiding vendor lock-in, and enabling deployment flexibility across different infrastructure configurations. Red Hat’s approach centres on delivering enterprise-grade support and integration for open source technologies while preserving the underlying flexibility that makes them attractive for sovereignty-conscious deployments.
Technical Focus Areas
The technical programme spans several interconnected domains that reflect the current state of enterprise IT modernisation. Hybrid cloud architecture remains foundational, as most large organisations operate workloads across multiple environments rather than committing entirely to public cloud or maintaining purely on-premises infrastructure. Red Hat OpenShift serves as the container orchestration platform designed to provide consistency across these varied deployment targets.
Automation receives substantial attention through sessions covering Red Hat Ansible Automation Platform. As IT environments grow more complex and skilled personnel remain scarce, the ability to codify operational procedures and execute them consistently across thousands of systems becomes increasingly valuable. Automation also plays a critical role in security posture management, enabling rapid response to vulnerabilities and ensuring configuration compliance at scale.
Edge computing represents another significant thread, particularly relevant for industries such as telecommunications, manufacturing, and retail where processing must occur close to data sources rather than in centralised data centres. The intersection of edge deployment and AI inference creates opportunities for real-time decision-making in environments where network latency or bandwidth constraints make cloud-based processing impractical.
Industry-Specific Applications
Rather than treating enterprise technology as a uniform domain, the conference acknowledges that different industries face distinct challenges and operate under varying regulatory frameworks. Financial services organisations must balance innovation pressure against stringent compliance requirements and the need to protect sensitive customer data. Healthcare providers navigate complex privacy regulations while seeking to leverage AI for diagnostic support and operational efficiency.
The automotive sector confronts a transformation driven by software-defined vehicles and the need to manage over-the-air updates across global fleets. Telecommunications providers face infrastructure demands from 5G deployment while simultaneously exploring how AI can optimise network operations. Public sector organisations must deliver digital services to citizens while maintaining transparency and accountability in how technology decisions are made.
By addressing these vertical markets explicitly, the conference aims to move beyond generic technology discussions toward practical guidance applicable to specific operational contexts.
Who Should Attend
The event targets several distinct professional profiles within enterprise technology organisations. Chief Information Officers and IT directors will find strategic content addressing how AI adoption fits within broader digital transformation initiatives. Technical architects can explore reference architectures and integration patterns for hybrid cloud and AI workloads.
Developers and platform engineers benefit from hands-on sessions demonstrating application modernisation techniques and container-native development practices. System administrators and operations teams can examine automation strategies that reduce manual intervention and improve consistency across large infrastructure estates. Security professionals will find content addressing how open source transparency supports security objectives and how automation can strengthen defensive postures.
The conference is particularly relevant for professionals from organisations currently evaluating AI strategies, those concerned about vendor dependency in their technology stack, and teams responsible for maintaining compliance with data protection regulations while pursuing innovation objectives.
The Open Source Approach to Enterprise AI
Open source software has moved from the periphery of enterprise IT to its centre over the past two decades, with Linux becoming the dominant operating system for server workloads and Kubernetes emerging as the standard for container orchestration. The current wave of AI development raises questions about whether similar dynamics will shape the AI infrastructure market.
Proponents of open source AI argue that transparency in model training, inference pipelines, and supporting infrastructure provides advantages for enterprises that must explain and audit automated decisions. The ability to inspect, modify, and deploy AI components without licensing restrictions offers flexibility that proprietary alternatives may not match. However, open source AI also requires organisations to develop or acquire expertise that managed services might otherwise provide.
Red Hat Summit: Connect 2026 Santiago provides a venue for examining these trade-offs in detail, with perspectives from both Red Hat’s technical teams and customer organisations that have navigated similar decisions. The emphasis on sovereignty and flexibility reflects a recognition that enterprise AI adoption is not simply a technical challenge but a strategic decision with long-term implications for organisational autonomy and competitive positioning.