Data-Driven Growth & Efficiency
summary
Panelists claim measurable wins and clear constraints: 50% of digital projects show results within two years, companies build internal platforms and train staff so one-third of engineers become citizen data scientists, and energy teams deploy predictive maintenance models that optimize production, distribution and operations. Telecoms warn that 5G monetization must spawn new digital products or revenue falls, legacy systems and procurement rules block scale, and success hinges on fixing messy data, funding infrastructure, and shifting hiring plus governance.
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chapters (12)
- 0:00Data-driven transformation panel
- 1:53Industry opportunities with AI
- 7:53AI and data analytics in telecom CX
- 11:22Energy sector’s AI digital transformation
- 15:36Government policies for digital transformation
- 18:26Balancing AI expertise and outsourcing
- 22:26Internalizing AI in legacy industries
- 28:42Outsourcing challenges in public sector
- 33:42Q&A on regulation and culture
- 38:41Government digital public services
- 41:08Advice for data-driven journeys
- 45:02Closing remarks
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