Operationalising AI Systems
Speaker
Tan Boon Leong
VP/Head of DeepBrain, ST Engineering Mission Software & Services
Talk Synopsis
As artificial intelligence moves from experimentation to enterprise integration, organisations face the challenge of translating AI capabilities into scalable, sustainable impact. This presentation explores the key enablers for operationalising AI effectively—ranging from building robust infrastructure and embedding ethical AI principles to aligning AI initiatives with business objectives and governance frameworks. Drawing on real-world use cases and lessons learned, the session provides practical strategies for deploying, managing, and monitoring AI systems across the lifecycle to ensure responsible, resilient, and value-driven outcomes.
Ensuring AI performance through Governance,Testing and Tooling
Speaker
Miguel Fernandes
Technical Partner, Resaro
Talk Synopsis
Contrary to some common opinions about the dichotomy between restrictive governance, and no-holds barred innovation, thoughtful AI governance can serve a key enabler for AI adoption and ensure that AI development is sustainable, responsible, and ultimately, more effective. Strong AI governance frameworks that prioritize considerations such as transparency, accountability, and explainability build trust, which drives performance and innovation. Governance helps mitigate potential risks associated with AI, such as bias and unpredictability. By developing better visibility of these risks and addressing them proactively, organizations can intelligently choose where to take on more informed risk to foster innovation, and put themselves in the driver's seat in the race for better AI systems.
AI Agents and Reasoning Models: Transforming Human-Technology Interaction
Speaker
Dr Deb Goswami
Senior Technologist - Generative AI & Big Data, APAC, Nvidia
Talk Synopsis
The advent of advanced AI agents and sophisticated reasoning models marks a pivotal shift in how humans interact with technology. These intelligent systems, capable of autonomous decision-making and adaptive learning, are redefining user experiences across industries, with ability to solve complex problems with high accuracy. This session will delve into the transformative impact of AI agents and reasoning models on human technology interaction.