Join Nadia Ramli, a seasoned librarian from the National Library Board (NLB) with over 8 years of experience, as she shares her insights on information literacy. Discover how to navigate misinformation in the age of Generative AI, an essential skill for all students.

Temus - who? Made in Singapore, for Singapore, Temus is making healthcare, finance, and government smarter while helping Singaporeans get into tech. Join the session to preview some killer AI MVPs (Minimum Viable Products) and see how we're unlocking new possibilities with AI. Now for the big question: What are you going to do with all these possibilities that the digital future brings?

In this session, we have:

Join us for an insightful symposium on the future of immersive technologies featuring a distinguished lineup of leading experts in academia and industry exploring cutting-edge developments and future trends in extended reality.  

• Assoc Prof Kyong Jin Shim, a practitioner in Data Science, Cloud Computing, and Extended Reality, focusing on social sensing in large networks, multiplayer video games, XR applications, and metaverses

• Dr Frank Guan, Associate Professor in SIT. Specializes in VR, Computer Graphics, and 3D Image Visualization, with research interests in AR, VR, and AI.

• Mr Ender Jiang, Founder of Hiverlab. A pioneer in the local VR space with rich experiences in AR, VR, holographic, and mapping projections.

• Mr Leonard Lin, Senior Software Engineering Manager at Unity. Specializes in game development and performance optimization.

• Mr Lee Zhen Wei, Solutions Engineer at Unity. Specializes in game and digital twin development.

Explore cutting-edge developments and future trends in AR, VR, and XR from leading experts in academia and industry.

Join Chong En, a Solution Architect at Amazon Web Services (AWS), as he gives an overview of how AWS facilitates the development and deployment of GenAI-powered applications through Amazon Sagemaker, Bedrock, and Q.

Join Brian Lim, Managing Director and APAC GM of Primer AI, a San Francisco-based company specializing in Natural Language Processing (NLP) technologies to help augment human intelligence and solve business problems. With expertise in Large Language Models (LLMs), Brian advises governments, corporates, and startups on AI strategy and product development, exploring the implications of AI advancements for disinformation.

Meet Roberto Vittori, a Brigadier General in the Italian Air Force and accomplished astronaut. Join us for a rare opportunity to interact with Roberto as he shares his remarkable journey, from graduating as a pilot to embarking on missions to the International Space Station and beyond.

Explore the evolving landscape of Artificial Intelligence with Avinash Naduvath from Cisco Systems. As AI permeates industries, there's a rush to upskill in generative AI without grasping its true business implications. With over 12 years of experience in the information security domain, having worked on multiple aspects of security such as secure engineering and secure architecture, Avinash sheds light on discerning genuine AI needs, tailoring tools for enterprise use, and navigating the pitfalls of deploying AI on limited data for production-level services.

Explore the ever-evolving cyber threat landscape with insights from Terence Lau, Consulting Director at Unit 42, Palo Alto Networks. Gain a deeper understanding of recent cybersecurity incidents and the escalating challenges posed by Artificial Intelligence and Large Language Models (LLMs).

Attendees will engage in in-depth analyses of cybersecurity events, emphasizing adaptive defense mechanisms against AI and LLM threats. With over a decade of experience in cybersecurity and digital forensics, don't miss this opportunity to gain comprehensive insights and strategies to address future cyber risks.

Join Dr Vishal Sharma, an experienced Lead Data Scientist at H20.ai, on an exploration of Retrieval Augmented Generation (RAG). A transformative approach in the realm of natural language processing, RAG combines the strengths of retrieval-based and generation-based methods to enhance information retrieval and generation. This talk aims to provide a comprehensive understanding of RAG, starting from foundational concepts, limitations and advancements to develop highly performant and accurate RAG pipelines.