One-on-One with Keith Klain
summary
KPMG quality engineering work argues firms are still in an experimentation phase using AI to speed existing workflows rather than redesigning problems, with budget burn rates deciding pace. Financial services face EU AI Act driven requirements for explainability and transparency that force different deployment patterns, while skills efforts include training programs for disadvantaged communities to accelerate market entry even as access gaps persist.
AI-written summary · about
related talks
03mCES Interview
10mKPMG Keynote
44mPanel Discussion: The BFSI Playbook - Scaling AI with Trust and Quality
59mPanel Discussion: Strategies for Scaling AI in Quality Engineering
26mFireside chat: Challenges with AI implementation in organizations
25mFuture of banking and fintech with AI agents
06mInterview with Mathias Frey
01h 01mPanel discussion: Practical and responsible applications of AI in businesses