The Elephant in the Room: Turning Shadow AI into Corporate Value
summary
Claims that hidden employee use of tools like ChatGPT, DeepL and Google image models now appears in most firms: internal surveys show >70% use AI at work and ~40% admit entering sensitive data into public models. The concrete plan is to detect Shadow AI, set a minimalist AI policy, run quick pilots with supported platforms, invest in upskilling and a tied data strategy, then evaluate whether to build an internal model platform — practical steps, not theory.
AI-written summary · about
chapters (6)
- 0:00Shadow AI in companies
- 2:08Shadow AI risks
- 8:54Turning shadow AI to value
- 13:49AI skills and data strategies
- 17:41Scaling AI adoption
- 19:50Q&A
related talks
52mDear CIO: Navigating the Shadows - GenAI's Promise, Peril, and the Path Forward
42mSecuring the Invisible
37mThe Shadows That Follow AI Generative Models
26mSafeguarding AI: How to Manage AI and its Potential Risks
29mScaling AI - Creating value with the application of AI
38mKeynote: Thriving in the Age of AI
27mThe state of AI in software development: Insights across 400+ organizations
53mHow AI is impacting cybersecurity. Does it?
