Using AI in Critical Environments
Operational AI needs good data, clear processes and clearly assigned responsibility.
View sessionTalks, fresh perspectives and hands-on sessions at AI Week — find what fits your work.
Operational AI needs good data, clear processes and clearly assigned responsibility.
View sessionYour own processes, recurring tasks and usable company knowledge.
View sessionWhen does running your own model make sense – and when does it not?
View sessionWhich approach to adaptation solves which problem?
View sessionArchitecture and access rights for HR applications.
View sessionWhat matters when choosing and using open models.
View sessionYour own documents, model adaptation and deployment on computers or servers.
View sessionHow can security risks be identified before AI applications go live? Threat modeling through a practical agent example.
View sessionPhishing, overlooked vulnerabilities and failed backups: learn from real incidents how companies end up in crisis.
View sessionWhat happens when an AI agent can use internal data and tools? Understand the risks, then put them to the test in “Roast My Agent”.
View sessionExperience a simulated cyberattack, make decisions and understand the consequences.
View sessionAssess an agent test instance and identify suitable safeguards.
View sessionFrom business need to your own application: masterclass, guided project work and results presentation.
View sessionInsights into creative production with AI.
View sessionDigital doubles as part of creative experiences.
View sessionTwo films for Vodafone in one weekend.
View sessionFrom idea or script to shot list, storyboard and animatic.
View sessionStudios, agencies and creative work in transition.
View sessionHow clear responsibilities and collaboration turn AI into real changes at SCHUNK.
View sessionUnlocking proprietary company knowledge: industrial AI and the transformation of a family business.
View sessionMore sessions to follow.