Panel, Conference Presentation
Global Companies and a New Era of Growth | Global Investors' Symposium Hong Kong 2025
- Global data volumes are expected to continue exploding, yet few enterprises currently derive significant value due to challenges with heterogeneous infrastructure, compute distribution, and a lack of automation that drains resources and costs at unprecedented levels.
- Without proper management of these data and infrastructure challenges, major security issues are predicted to emerge, prompting a shift in enterprise cloud strategies over the next five to ten years toward data protection and governance rather than full migration.
- AI adoption is anticipated to significantly accelerate aerospace product development and time-to-market for new airplanes, creating a competitive advantage, while also improving airline operations through better weather prediction and predictive maintenance.
- Regulatory authorities are expected to remain uncomfortable with new AI technologies, creating pressure on certification processes for decades, which necessitates collaboration between industries and regulators to establish frameworks over the next 3 to 10 years.
- Future AI strategies involve layering different specific models, including small models with right governance, to enable personalized services in airlines and support safety-critical decisions where enterprises must own their own models to ensure 100% certainty.
- Southeast Asian consumers are predicted to leapfrog historical technology gaps, with adoption expected to be far greater than in the West to reduce costs and friction, while specific AI applications aim to simplify enterprise accounts, legal processes, and consumer travel decisions.
- The workforce is expected to evolve over the next two to ten years, with job roles changing as humans transition to managing AI, new engineer profiles emerging that delegate tasks to computers, and the human element remaining critical for future operations.
- Despite high expectations, current industry delivery performance regarding promises and timelines is described as poor, with vendors often failing to establish the necessary data and infrastructure foundations required for successful implementation.