I denna artikel analyserar vi fyra AI-projekt inom vården för att identifiera framgångsfaktorer. Resultaten jämförs med reflektioner från AI-experter. Slutsatsen är att framgångsrika AI-projekt kräver inte bara lämpliga uppgifter och teknisk kompetens, utan även noggrann projektledning, inklusive tydliga mål, datahantering, implementeringsplanering och riskanalys. Studien resulterar i en frågelista för att bedöma lämpligheten av uppgifter för AI-automatisering.
Jarkko is an experienced leader and expert in digitization and automation, with a solid track record of successfully completed projects for various functions within organizations.He has extensive experience in leading and implementing solutions that streamline and improve operations.
Previously, Jarkko was the head of Intelligent Automation at Capgemini, where he led and supported a team of 30 consultants and the team’s deliverables. Prior to that, he worked at Telenor Sweden as Manager Automation and Automation Tech Lead, as well as at CGI Sweden as the Sweden manager for RPA. In these roles, Jarkko led automation programs and agile projects, established automation strategies and platforms, and digitized a variety of processes and created analytics using Process Mining.
Jarkko’s career in data began back in 2006 at Affecto in Finland, where he worked as Senior Consultant, Team Lead and Senior Manager. He has had assignments as project manager, service manager, ETL engineer, expert in DW and BI.
This broad experience gives Jarkko a deep understanding of different technologies, from data to processes, and how to deliver successful data and digitization projects. He has used his experiences to create the LEAP methodology for digitization.
In his spare time, Jarkko enjoys walking with his Japanese Pointed Setter, playing board games with his son and practicing Argentine tango with his partner.
