Conference Description
Key Takeaways
- RAISE Summit brings together over 9,000 attendees from more than 2,000 companies to address enterprise artificial intelligence strategy and implementation
- The programme spans AI infrastructure, governance frameworks, security and compliance, workforce transformation, and emerging technologies including agentic systems
- Designed for C-suite executives, founders, investors, and policymakers navigating the transition from AI experimentation to measurable business outcomes
- Discussion tracks address regulatory developments, geopolitical considerations, and the operational challenges of scaling AI responsibly
- Takes place at Le Carrousel du Louvre in Paris on 8–9 July 2026
Introduction
RAISE Summit is a cross-industry gathering focused on artificial intelligence leadership, enterprise adoption, and return on investment. The event convenes senior executives, founders, investors, and policymakers in Paris to examine how organisations can move beyond AI experimentation toward strategies that deliver measurable business impact. With enterprise AI adoption accelerating across sectors while regulatory frameworks continue to evolve, the summit addresses a critical inflection point for technology leaders weighing infrastructure investments, governance requirements, and workforce implications.
About This Event
RAISE Summit takes place at Le Carrousel du Louvre in Paris on 8–9 July 2026. The event draws over 9,000 attendees representing more than 2,000 companies, with approximately 80 percent holding C-level or founder positions. This concentration of senior decision-makers reflects the summit’s focus on strategic rather than purely technical considerations, positioning it as a forum where AI investment decisions and enterprise transformation initiatives are shaped.
The programme combines keynote sessions with thematic tracks, startup competitions, hackathons, and executive forums. This multi-format approach accommodates both technical depth and strategic discussion, allowing participants to engage with content relevant to their specific responsibilities. City-wide AI activations extend the event beyond the main venue, creating additional opportunities for informal exchange among attendees.
Enterprise AI Adoption and Infrastructure
A central theme running through the summit programme is the challenge of translating AI ambition into operational reality. Many organisations have completed proof-of-concept projects but struggle to scale these initiatives into production systems that generate consistent returns. RAISE addresses this gap by examining adoption frameworks, infrastructure requirements, and the capital strategies necessary to support sustained AI investment.
Infrastructure discussions encompass compute capacity, data architecture, and the interoperability challenges that arise when integrating AI capabilities with existing enterprise systems. As organisations deploy increasingly sophisticated models, questions of infrastructure efficiency and cost management become more pressing. The summit brings together infrastructure providers, cloud platforms, and enterprise technology leaders to examine how these technical foundations can be built and maintained at scale.
Open source technologies and interoperability standards feature prominently in these discussions. The relationship between proprietary and open-source AI development continues to shape enterprise strategy, with organisations weighing flexibility and control against the resources required to maintain custom implementations. Understanding these trade-offs has become essential for technology leaders making long-term architectural decisions.
Governance, Security, and Regulatory Considerations
Enterprise AI deployment increasingly operates within complex regulatory environments. The summit dedicates significant attention to governance frameworks, compliance requirements, and the security considerations that accompany AI system deployment. These topics have moved from peripheral concerns to central strategic questions as regulatory bodies worldwide develop more specific requirements for AI systems.
Cyber resilience represents a particular focus area, reflecting the dual nature of AI in security contexts. Organisations must secure their AI systems against adversarial attacks while simultaneously leveraging AI capabilities to strengthen their broader security posture. This intersection of AI and cybersecurity creates both opportunities and vulnerabilities that require careful management.
Public policy and geopolitical dimensions add further complexity to enterprise AI strategy. Different jurisdictions are developing distinct regulatory approaches, creating compliance challenges for organisations operating across borders. The summit provides a forum for examining these developments and their practical implications for technology investment and deployment decisions.
Workforce Transformation and Value Realisation
The human dimensions of AI adoption receive substantial attention throughout the programme. Workforce transformation encompasses not only the skills required to develop and maintain AI systems but also the broader organisational changes necessary to realise value from AI investments. Many enterprises find that technical implementation represents only a portion of the challenge, with change management and capability building proving equally demanding.
Value realisation frameworks help organisations establish clear metrics for AI initiatives and track progress toward business objectives. Without disciplined approaches to measuring outcomes, AI projects risk becoming technology experiments rather than business transformations. The summit examines methodologies for connecting AI capabilities to specific operational improvements and financial returns.
Emerging Technologies and Future Directions
Beyond current enterprise applications, the summit explores emerging developments that may reshape AI capabilities in coming years. Discussions of artificial general intelligence examine both the technical trajectory toward more capable systems and the governance questions these advances raise. While timelines remain uncertain, the strategic implications of continued AI advancement warrant consideration by leaders making multi-year investment decisions.
Agentic systems represent a nearer-term development receiving significant attention. These systems, capable of autonomous action toward defined objectives, introduce new possibilities for automation while raising questions about oversight and control. Robotics applications similarly extend AI capabilities into physical domains, with implications for manufacturing, logistics, and service industries.
Sustainability considerations increasingly influence AI strategy as the energy requirements of large-scale AI systems attract scrutiny. Organisations face pressure to demonstrate responsible resource consumption while pursuing AI capabilities, creating demand for more efficient approaches to model training and deployment.
Industry Ecosystem and Collaboration
The summit brings together participants from across the AI ecosystem, including major technology providers such as NVIDIA, OpenAI, Google DeepMind, Anthropic, and Oracle alongside emerging companies and specialist vendors. This breadth enables examination of AI developments from multiple perspectives, whether infrastructure, applications, or enabling technologies.
Startup competitions and hackathons provide platforms for emerging companies to demonstrate innovations to potential investors and enterprise customers. These elements complement the strategic discussions by showcasing practical applications and novel approaches to persistent challenges. The combination of established players and emerging innovators reflects the dynamic nature of the current AI landscape.
Who Should Attend
RAISE Summit is designed for senior leaders responsible for AI strategy and technology investment decisions. Chief executive officers, chief technology officers, chief information officers, and heads of innovation will find content addressing the strategic and operational dimensions of enterprise AI adoption. Founders and investors focused on AI ventures can engage with both the technical developments and market dynamics shaping the sector. Policymakers and regulatory professionals benefit from direct engagement with industry practitioners navigating the frameworks they develop.
The event serves organisations at various stages of AI maturity, from those establishing initial capabilities to enterprises scaling existing implementations. The emphasis on practical outcomes and measurable impact distinguishes the programme from more academically oriented gatherings, making it particularly relevant for leaders accountable for business results from technology investments.