Turning AI Investment into Business Value
Senior Industry Leaders Will Share Their Insights
Artificial intelligence has moved rapidly from experimentation to deployment across organisations. As generative and agentic AI become embedded in enterprise operations, the challenge for leaders is shifting from adopting the technology to identifying where it can create meaningful and measurable business value.
For many organisations, this will require more than introducing new AI tools. It could mean redesigning core business processes, making enterprise data ready for AI, modernising legacy technology and embedding intelligence into products and physical operations. As AI systems become increasingly autonomous, enterprises must also determine how to govern them securely and responsibly.
Spain has emerged as an increasingly important European market for AI investment and infrastructure, with organisations across financial services, telecommunications, energy and infrastructure increasingly deploying AI to reshape operations, improve productivity and create new sources of value. As investment and adoption accelerate, how can Spanish businesses move from experimentation to AI at scale and turn technological capability into sustainable productivity, growth and competitive advantage?
This executive briefing by the Financial Times, in partnership with Infosys, will bring together CEOs, senior business and technology leaders to examine the next stage of enterprise AI adoption in Madrid and the wider Spanish market. Using practical examples, the discussion will consider how organisations are redesigning processes, strengthening their data and technology foundations and determining where human and increasingly autonomous intelligence can deliver meaningful business value.
Key Discussion Points
AI Operating Models
How are businesses redesigning processes and operating models around AI, rather than simply adding AI to existing ways of working?
AI Systems
How are organisations moving from individual agents and pilots towards AI systems operating across functions, workflows and enterprise platforms?
Security and Trust
As AI takes on greater responsibility for actions and decisions, how should organisations approach governance, security and trust?