Women in AI by FemTechConf
Enterprise AI Conference: Strategy, Agents, Governance and AI at Scale
Enterprise AI is moving into a harder phase. Access to models is no longer the main problem. Organisations now need to decide which use cases deserve investment, how AI fits into real workflows, what infrastructure and data are required, how agents should be controlled, and how to measure whether deployment created value.
7,500 expected in person · 75,000 virtual · 50+ speakers · 11–12 November 2027, London
The enterprise AI question has changed
A few years ago, many leadership teams were asking whether generative AI mattered. Today the question is where it produces enough value to justify operational change. That is a more difficult problem because it involves process design, systems integration, data access, governance, evaluation, security and workforce adoption.
The organisations that scale AI successfully are unlikely to be those running the greatest number of pilots. They will be the ones that can repeatedly identify valuable workflows, build or buy the right capability, measure performance and retire experiments that do not work.
What enterprise leaders need to understand in 2027
Enterprise AI discussions at the Summit are designed around operating reality rather than generic transformation language. Topics connect strategic decisions to the engineering and organisational work needed underneath them.
- How to move from pilots to production
- Enterprise AI operating models
- Agentic AI and multi-step workflows
- Measuring AI ROI and productivity
- Build versus buy decisions
- AI governance and model risk
- Data and infrastructure requirements
- Workforce adoption and change management
- AI Centres of Excellence and federated models
A cross-functional enterprise audience
Enterprise AI cannot be owned by one department. Technology teams need business context. Business teams need enough technical understanding to set realistic expectations. Risk functions need access to evidence. Leaders need to decide where accountability sits when AI becomes part of a workflow rather than a standalone tool.
Women in AI Global Summit is expected to bring together 7,500 in-person attendees from major enterprises, startups, consulting firms, research organisations, government and the wider technology ecosystem. Announced speakers include senior leaders from Hitachi, Microsoft AI, Capgemini Invent, KPMG and Credera, giving the enterprise programme multiple perspectives on adoption and transformation.
For vendors, enterprise AI is also a commercial opportunity
The Summit is relevant not only to enterprise buyers but to companies selling cloud, infrastructure, software, data, cybersecurity, consulting, services and AI products. Large enterprise AI budgets increasingly depend on trust, integration, governance and credible proof of value rather than product novelty alone.
For sponsors, that makes the event a place to demonstrate expertise in front of buyers and practitioners rather than simply buy logo visibility. Partnership formats can combine thought leadership, expo presence, workshops, executive access, product marketing, talent and year-round community visibility.
Related resources
Frequently asked questions
What enterprise AI topics will the Summit cover?
Core areas include enterprise AI strategy, agents, operating models, AI ROI, governance, transformation, productivity, infrastructure and workforce adoption.
Is the conference relevant for enterprise technology vendors?
Yes. The audience includes enterprise leaders, practitioners and buyers as well as startups and technology providers. Sponsorship options are available for companies seeking thought leadership, product marketing, lead generation or executive engagement.
Is there technical content as well as strategy?
Yes. The wider Summit and AI Engineering programme cover production AI, RAG, model evaluation, agents, observability and other technical subjects alongside enterprise strategy and leadership.