Exploring AI Innovation in Singapore and Beyond with Laurence Liew ODSC's Ai X Podcast
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- Technology
Join the Director of AI Innovation and AI trailblazer, Laurence Liew, on a fascinating journey into the heart of AI innovation in Singapore and beyond, and an exploration of his insights, experiences, and the exciting future he envisions for AI in the region.
Sponsored by: https://odsc.com/
Find more ODSC lightning interviews, webinars, live trainings, certifications, bootcamps here – https://aiplus.training/
Topics:
1. NAIS 2.0: Singapore was one of the first countries to come out with an AI policy in 2019. Recently on December 5th ,2023 Singapore announced its new AI strategy - (NAIS) the National AI Strategy 2.0. Can you comment on this new and significant policy development?
2. NAIS 2.0: Is the rise of GenAI and LLM fueling this? What key areas do you expect to see addressed? How will the focus evolve given the large sum being invested into foundation models?
3. As the Director for AI Innovation at AI Singapore, how do you see your organization shaping the AI landscape in Singapore?
4. You led the ambitious "100 Experiments" program to accelerate AI adoption in Singapore. Can you elaborate on the 100 Experiments initiative and its impact on AI adoption in Singapore’s ecosystem and can you share some key learnings and success stories from this initiative?
5. How is AI Singapore fostering the next generation of AI talent through apprenticeship programs? What specific skills and knowledge gaps are you addressing, and how is this impacting the local workforce?
6. Can you elaborate on the AI startup scene in Singapore?
7. As Singapore’s representative at the GPAI, what unique perspectives or contributions do you think Singapore brings to this global AI consortium?
8. What are some key challenges and opportunities in this domain?
9. Compared to other APAC countries, where does Singapore stand in terms of AI maturity and advancement? How are regional factors shaping the overall picture?
10. How is AI Singapore promoting collaboration and knowledge sharing within APAC while facing potential competition for talent and resources? What opportunities are there for regional partnerships and joint AI development projects?
11. How are ethical considerations for AI being addressed in APAC at large? What specific challenges and opportunities does Singapore face in implementing ethical AI principles and ensuring trust in AI technologies?
12. Data privacy regulations are evolving rapidly across APAC. How will this impact AI development and adoption in the region? Can Singapore offer a model for balancing innovation with individual rights?
13. How is the ongoing tech rivalry between the US and China impacting AI development in APAC? What strategies and partnerships can Singapore and other regional players adopt to navigate this complex landscape?
14. You've had an impressive journey as a technopreneur. How have your entrepreneurial experiences influenced your approach to AI development and innovation and what motivated your transition from building private companies to leading AI innovation for the Singapore government?
15. Based on your extensive experience, what advice would you give to individuals hoping to become leaders in the field of AI? What skills and qualities are essential for success, and how can one navigate the rapidly changing landscape of this technology?
Join the Director of AI Innovation and AI trailblazer, Laurence Liew, on a fascinating journey into the heart of AI innovation in Singapore and beyond, and an exploration of his insights, experiences, and the exciting future he envisions for AI in the region.
Sponsored by: https://odsc.com/
Find more ODSC lightning interviews, webinars, live trainings, certifications, bootcamps here – https://aiplus.training/
Topics:
1. NAIS 2.0: Singapore was one of the first countries to come out with an AI policy in 2019. Recently on December 5th ,2023 Singapore announced its new AI strategy - (NAIS) the National AI Strategy 2.0. Can you comment on this new and significant policy development?
2. NAIS 2.0: Is the rise of GenAI and LLM fueling this? What key areas do you expect to see addressed? How will the focus evolve given the large sum being invested into foundation models?
3. As the Director for AI Innovation at AI Singapore, how do you see your organization shaping the AI landscape in Singapore?
4. You led the ambitious "100 Experiments" program to accelerate AI adoption in Singapore. Can you elaborate on the 100 Experiments initiative and its impact on AI adoption in Singapore’s ecosystem and can you share some key learnings and success stories from this initiative?
5. How is AI Singapore fostering the next generation of AI talent through apprenticeship programs? What specific skills and knowledge gaps are you addressing, and how is this impacting the local workforce?
6. Can you elaborate on the AI startup scene in Singapore?
7. As Singapore’s representative at the GPAI, what unique perspectives or contributions do you think Singapore brings to this global AI consortium?
8. What are some key challenges and opportunities in this domain?
9. Compared to other APAC countries, where does Singapore stand in terms of AI maturity and advancement? How are regional factors shaping the overall picture?
10. How is AI Singapore promoting collaboration and knowledge sharing within APAC while facing potential competition for talent and resources? What opportunities are there for regional partnerships and joint AI development projects?
11. How are ethical considerations for AI being addressed in APAC at large? What specific challenges and opportunities does Singapore face in implementing ethical AI principles and ensuring trust in AI technologies?
12. Data privacy regulations are evolving rapidly across APAC. How will this impact AI development and adoption in the region? Can Singapore offer a model for balancing innovation with individual rights?
13. How is the ongoing tech rivalry between the US and China impacting AI development in APAC? What strategies and partnerships can Singapore and other regional players adopt to navigate this complex landscape?
14. You've had an impressive journey as a technopreneur. How have your entrepreneurial experiences influenced your approach to AI development and innovation and what motivated your transition from building private companies to leading AI innovation for the Singapore government?
15. Based on your extensive experience, what advice would you give to individuals hoping to become leaders in the field of AI? What skills and qualities are essential for success, and how can one navigate the rapidly changing landscape of this technology?