AI Implementation: Navigating the Enterprise Lifecycle for Technical Leaders by Jesper Hagberg

This session examines the enterprise AI lifecycle and its strategic implications for leaders in tech. We begin by mapping the evolution of AI initiatives—from problem identification through system deployment and ongoing maintenance—providing a comprehensive framework for organizational maturity.

The presentation delves into critical challenges at each lifecycle stage: (1) establishing robust mechanisms for idea evaluation and prioritization, (2) developing effective in-house AI capabilities, (3) navigating the vendor landscape when procuring external solutions, (4) orchestrating seamless AI system integration and deployment, and (5) implementing governance frameworks for responsible maintenance and enhancement. We then distill these insights into practical guidance for technical leaders, identifying core responsibilities and recommending initial focus areas to drive successful AI adoption.

The session concludes with a pragmatic examination of data strategy alternatives, contrasting the comprehensive "data lake" approach with an incremental, use-case driven methodology—helping leaders determine which path best aligns with their organizational context and objectives.

Jesper Hagberg, Generate

Recorded at AI-fokus 2025 in Stockholm 10 June 2025
https://www.jfokus.se/ai-fokus/