Empower Board and Leadership teams on the AI opportunity to enable them to embrace and drive the agenda across all business units and functions. Develop customised industry briefings sharing insights on current and future trends in AI adoption and mechanisms for developing a robust AI Strategy.
Launch workshops tailored to your industry showcasing the potential of AI to inspire your employees to augment their work with new intelligence. Create jump-start teams who will enable organization wide collaboration and develop plans to realise the full impact of deploying AI solutions.
Run sessions for AI jump-start teams that help define pivots and problem scenarios to be solved by leveraging your domain expertise. Use TALL's 3C's framework (Category, Consumer, Capability trends) to spot opportunities along with Design Thinking principles to generate fresh ideas and MVPs.
Data is the foundation and fuel to your AI strategy. Address 5 critical areas aligned to the AI Strategy :
1) Audit data availability
2) Develop cause-effect hypothesis
3) Data Lake Build: owned, partnered, acquired
4) Data structuring
5) Analytics journey
Build sandbox environments with your technology partners to experiment and scale solutions. Enable real-time scenario planning with embedded explainable AI at deployment. The sandbox environment acts as a Digital Twin Living Lab to virtually manage scenario planning of your business.
Leverage your Corporate Innovation initiatives like labs, accelerators, incubators, intrapreneurships, strategic partnerships and M&A to benefit from your ecosystem synergy to scale AI solutions.
Use TALL's 4Ps framework: Pivot, Prioritise, Partner, Payback.
Corporates are significantly benefitting from open innovation approaches of collaborating with start-ups. Start-up POCs have become the most agile way of co-creating AI based solutions for the market and often takes less than 6 months to implement. A crucial success factor is to build a structured and on-going program of "test,learn and scale" new solutions with POCs.
According to the World Bank, SMEs represent about 90% of businesses and over 50% of employment worldwide, thus contributing a significant share of GDP. AI start-ups are now addressing this key segment with solutions. Additionally, Public-Private partnerships will be critical in enabling digitalisation and in providing for the talent skills gap in SMEs.
AI has the potential to incrementally add 16 percent or around $13 trillion to GDP by 2030, according to the McKinsey Global Institute. Smart Cities will play a crucial role in this growth with significant opportunities for Public-Private partnerships.
Initiatives need to drive the sustainable AI adoption agenda for Smart Cities with an ecosystem of partners.
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Asia-Pacific’s spending on AI will reach around $50 billion in 2026. In this episode of "Shelter from the storm: Investing in the era of uncertainty," sponsored by EquitiesFirst, Economist Impact discuss the opportunities and risks around artificial intelligence investments in Asia-Pacific. What AI can offer is almost limitless, but the opportunities don’t come without risks.