Fireside chat: Role of Leadership in Scaling AI across the Enterprise
summary
Serbia’s data ecosystem shifts when 2019 AI strategy acts as a tipping point, but enterprises are still 5–10 years late on preparing data: silos, missing data dictionaries and governance block reuse. Only about 8% of companies have 5+ AI use cases while most have one. Telecom Serbia builds a data‑driven program, central logical repositories and CEO‑backed inclusion, and deploys niche startup AI tools in operations; emphasis is on partnerships, reskilling and measurable business outcomes.
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chapters (14)
- 0:00Introduction
- 1:36Leadership in AI transformation
- 2:59AI transformations past decade
- 7:18AI adoption failures
- 10:08Data silos and governance
- 12:35Data literacy and AI investment
- 14:41AI trends reshaping industries
- 18:55Tech advancement vs business needs
- 23:12Scaling AI sustainably
- 27:03Empowering employees in AI
- 34:48Continuous learning and innovation
- 40:34Human roles in AI
- 42:43Q&A: Telecom and AI education
- 44:34Q&A: Leadership, DEI, and barriers
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