Juho Nevalainen

Today's most crucial metric is time-to-value; how can businesses turn their ideas and needs into working solutions rapidly and how to take the solutions into use efficiently. Technology itself is not the answer - it requires new leadership capabilities to realize the value of AI. So far, AI has been delegated to the IT organizations by the business management resulting PoC's, demos and test cases - but only little measurable business value or improved productivity. In this session you will discover how to anyone can be designer future business with the help of generative AI. What was earlier done in months, can now done in days or even hours. You will hear stories of how organizations have approached the AI leadership, learn methodologies best practices how business management and IT can determine the most important business capabilities and match the best-fit technologies to meet the business needs - all with generative AI. Even more, in the session you will realize how to take the business design into reality in a way that the business management truly owns their transformation - all the way to the value realization instead of monitoring it from the distance. This asks for an AI operating model that will be explained in detail in the session. At the end of the day, you will learn in practice how business management should take initiative in leading the AI development in an organization instead of delegating or outsourcing the leadership.

AI agents already today perform tasks and execute workflows independently. But less has been discussed, how technology leadership will change with the help of AI agents. This session covers how AI agents radically decrease the time-to-value in digital development initiatives from leaders and managers point of view. In practice, AI agents help in writing better business requirements, turning the requirements into development items, managing projects and running continuous service operations. By utilizing role-based and task-based AI agents that act according to common management framework, the AI agents become inseparable part of managers and leaders who are running the digital development initiatives. As a result, the project managers who are equipped with a group of AI agents can reach 2X productivity compared to PM's without AI agents - and in this session you will learn how. The session covers the needed operating & governance model for developing and maintaining AI agents, introduce the library of AI agents that are needed to run digital development projects with 2X productivity - and also demonstrate the agents in action with various technologies.

AI is no longer just a technology initiative, it is a new way of getting work done. While many organizations are still running AI pilots and isolated experiments, the frontrunners are deploying agentic AI as digital workers, embedded directly into real knowledge work and core business processes to enable productivity gains and business growth. Still, developing enterprise-wide agentic AI doesn't happen by accident. It requires dedicated leadership all the way from strategy to execution - and in this session you will learn what organizations leadership must know about it. In this session, we focus on enabling enterprises to design, build and run AI agents at industrial scale. You will hear and learn how to move AI from experimentation into governed production, where digital workers support people with measurable outcomes — securely, reliably and continuously. The session covers frameworks and learnings from successful AI transformation journeys to achieve industrial scale time-to-value and quality.