Enterprise AI Singapore schedule

• Examine why many AI initiatives stall in the experimentation phase and how organizations can create frameworks that transition AI from pilot programs to fully integrated, profit-driving solutions.
• Discuss the importance of defining success metrics for AI projects, including operational efficiencies, customer experience improvements, and long-term strategic value
• Explore the technical and organizational infrastructure needed to scale AI solutions across departments

• Explore strategies for ensuring that AI-driven automation enhances operational efficiency while maintaining the personalized, human-centered experience
• Redefining human roles – How automation can free up human talent for higher-value tasks
• Avoiding over-automation – Identifying the right areas for ai implementation

• Exploring how organizations can measure the success of AI initiatives not only in terms of cost savings and revenue generation but also through intangible benefits
• Identifying and overcoming hidden costs in AI implementations - integration challenges, data management, and ongoing maintenance
• Discussing how businesses can ensure that AI projects continue to deliver value over time by adapting to changing business environments
  
  

Moderator

• Anandamoy Roychowdhary Partner Peak XV Partners

Panellists

• Sudhir Tiku VP & Head – APAC & China Bosch
• Wouter van Groenestijn Data & Analytics Lead, APAC Cargill

• Aligning data strategy with broader business objectives to support decision-making and promote innovations
• Striking a balance between data accessibility and responsible practices
• Identifying revenue-generating opportunity to deliver tangible business outcome

• Exploring how GenAI can streamline sales workflows and allowing sales teams to engage with prospects more efficiently and meaningfully
• Discussing how GenAI can leverage customer data to produce personalized recommendations to boost conversion rates and strengthening client relationships
• Examining the best approaches for quantifying the ROI of GenAI in sales by tracking metrics like lead conversion, customer satisfaction, and revenue growth

• Exploring how bias creeps into AI systems through skewed data, flawed algorithms, and historical prejudices
• Discussing the critical steps needed to identify and eliminate these biases at every stage of AI development
• Examine the importance of maintaining human oversight in AI systems to detect and correct biased outputs

• From fear to opportunity: How AI can support workers rather than replace them
• Discussing the need for a comprehensive approach, combining education, trade, and social policies, to create shared prosperity in the age of ai-driven transformation
• Highlighting Singapore’s forward-thinking initiatives, including unemployment support tied to upskilling to ensure ai-driven job evolution benefits all

• Discuss the varying levels of human oversight required for different AI systems, particularly high-risk applications
• Address challenges such as automation bias, where humans may over-rely on AI recommendations, and algorithm aversion, where they distrust algorithmic decisions
• Highlight the importance of training for individuals tasked with overseeing AI systems

• Leveraging cross-border collaboration to drive AI leadership
• Balancing AI regulation with innovation: A global perspective – Understanding EU AI Act and other relevant acts in the region
• Building a robust talent ecosystem through international collaboration

Panellists

Laurence Liew Director, AI Innovation AI Singapore

• Discuss the dual objectives of AI in supply chain optimization: immediate cost savings and long-term value creation
• Examine how AI technologies improve supply chain visibility, enabling real-time tracking and data-driven decision-making
• Explore how integrating AI into supply chain processes can drive innovation beyond traditional cost metrics

• Exploring how AI-powered tools are optimizing property operations and transforming how assets are managed and valued
• Discussing the role of AI in analyzing market trends, predicting property values, and enabling smarter investment decisions
• Examining how AI is redefining the customer journey in real estate by improving tenant engagement for enhanced satisfaction

• Discussing the inherent tension between delivering personalized customer experiences through AI and maintaining robust privacy protections
• Emphasizing the importance of diversifying data sources to avoid bias and enhance the relevance of personalized experiences while respecting user privacy
• Exploring how organizations can leverage AI technologies to create hyper-personalized experiences without compromising privacy compliance

• Exploring how companies can achieve significant cost savings—up to 25%—by integrating generative AI with zero-based redesign (ZBR) strategies
• Discussing how businesses can leverage AI to improve operational efficiency while reallocating human resources to higher-value activities
• Addressing the need for organizations to view AI not just as a tool for immediate cost savings but as a strategic investment that drives long-term growth and innovation

• Examining proactive security measures to address risks like data poisoning, adversarial attacks, and bias in AI models
• Comparing the benefits of using AI to solve current challenges versus leveraging it to unlock new business opportunities
• Discussing the importance of ethical guidelines and human oversight to ensure responsible use of NLP and LLMs in sensitive applications