Conference Track
Date 18 Oct 2023 - 19 Oct 2023
Time 10:00 - 20:30 
Sky100, ICC  Hong Kong 

For decades, managing data essentially meant collecting and storing it. That has all changed. Businesses are now looking for critical information and insights that can be extracted from the massive amounts of data, to drive better business decisions that unlock efficiency and feature gains. This track is curated in a way that would inspire you to build a sector-specific modern data environment with proven data strategies that address infrastructure complexity and integration, help you make sense of that data through analytics, AI, automation and ML engineering and ultimately – deliver outsized business value and transform lives.

  • Data Architecture – Data Fabric, Data Mesh and Data Muddle
  • Data Governance / Compliance & Data Ethics
  • Data Modelling Challenges
  • Data Quality
  • Business Analytics – AI-driven data analytics
  • Metadata Management
  • Data Literacy
  • AI for business
  • More
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Join leading experts in a captivating debate on the future of AI. Should we hit the pause button or fast forward its development? Explore contrasting perspectives, ethical dilemmas, and potential consequences. Engage in thought-provoking discussions and gain valuable insights into shaping AI responsibly. Don't miss this opportunity to be part of the landmark debate on "The Future of AI: Hit Pause or Fast Forward?"

Generative Artificial Intelligence (AI) has emerged as a powerful tool in the realm of Marketing and Sales, revolutionizing the way businesses innovate, streamline operations, and engage with customers. This panel discussion aims to explore the transformative capabilities of generative AI in Marketing and Sales, with a focus on its impact on innovation and efficiency. Join us as we delve into the potential of generative AI and examine real-world examples of its application in driving growth and success.

Dive into the future of business transformation with Generative AI!

The session will provide insights into the differences between GenAI and traditional AI, emphasizing the former's ability to synthesize new content from existing data. The discussion will include six use cases of GenAI in data analytics, data intelligence, change management, campaign taxonomy, product feed improvement and content production, all of which are designed to effectively enhance your decision-making and drive business growth.

Additionally, it will offer a comprehensive roadmap for GenAI implementation, from identifying business needs to scaling the model for production. This engaging session will serve as an invaluable resource for comprehending the transformative role of GenAI in business and effectively managing its implementation challenges.

In this session, Ted Suh will explore the possibility and potential of a new AI language model, DarkBERT that has been specially trained on the dark web where cryptocurrency is being used for money laundering and digital payments in the underground market. This session will also cover how DarkBERT can be used to combat in the cybercriminal environment.

Discussion Points: 

  • Decoding the Enigma: Unleashing AI’s Transformative Power: 
    • Explore the untapped potential of AI to revolutionize industries, drive innovation, and create unparalleled business opportunities 
    • Share success stories that highlight the profound impact of AI implementation across different sectors 
  • Revealing the key to success: Overcoming challenges and embracing AI Adoption: 
    • Navigate the hurdles and obstacles encountered during AI projects, including data quality, ethical considerations, and privacy concerns 
    • Share invaluable strategies to overcome these challenges and ensure seamless integration of AI solutions into business practices 
  • Insights from the Dragon: Unveiling Mainland China’s AI Regulatory Trends: 
    • Highlight noteworthy policy developments and their influence on business
    • Discuss how responsible AI practices and ethical guidelines can shape the future of AI-driven industries 
  • The Key to Unlocking Success: Governance Approaches and Responsible AI Impact Assessment: 
    • Provide expert recommendations on establishing effective governance approaches tailored to AI technologies 
    • Emphasize the significance of conducting responsible AI impact assessments to ensure ethical and responsible AI deployment 

This panel aims to unlock the secrets behind harnessing AI’s immense potential to drive innovation, reshape industries, and unlock business opportunities. 

How do we drive data culture across our group and companies ? 
What are the key challenges and how did we overcome them ? 

Should we adopt the "wait and see" approach to observe how other companies are harnessing the power of GenAI? Many forward-thinking companies, including tech giants, industry leaders and ambitious startups, have embarked on experiments with GenAI to tackle formidable challenges and capitalize on business opportunities. How did they embark on their GenAI journeys? What valuable lessons did they glean from their experiences? Join us in this panel discussion as we delve into the strategies and practices of these GenAI trailblazers, exploring their innovative approaches and insights.

Recent machine learning techniques such as deep learning and reinforcement learning were built on specific assumptions of the underlying data generation process. Financial time series frequently do not satisfy these assumptions. In this talk, we discuss the possible problems if these techniques are applied blindly. The solutions to these problems are in general problem specific. However, some fo the pain can be alleviated by combining recent machine learning techniques with more classical statistical and econometrics insights. We will discuss these probably solutions with examples.

The utilization of Artificial Intelligence (AI) in the insurance sector has been expanding rapidly, presenting numerous opportunities for improved efficiency, accuracy, and decision-making. However, as AI becomes increasingly ubiquitous, it is essential to ensure that its deployment is ethical, transparent, and accountable. This presentation will delve into the principles and practices of Responsible AI in the financial services, encompassing aspects such as data diversity and inclusivity, algorithmic explainability, and human oversight. We will also examine the potential consequences of AI bias and discuss methods for mitigating its impact. By adopting a responsible approach to AI, the industry not only will enhance their business operations but also foster trust and confidence in their decision-making processes. Join us to discover how your organization can harness the power of AI in a way that benefits both your business and society at large.

Generative Artificial Intelligence (AI) has emerged as a transformative technology with significant implications for businesses across various sectors. From generating creative content to enhancing product design and customer experiences, generative AI has the potential to revolutionize how organizations operate and innovate. This panel discussion aims to delve into the opportunities, challenges, and ethical considerations associated with generative AI in the business landscape.

-    The role of data analytics and AI in revolutionizing insurance processes.
-    Real life examples of insurers leverage data analytics and AI for enhanced decision-making and improve customer experience
-    Predictions on emerging technologies and trends that will shape the insurance industry
-    Opportunities and challenges that insurers and insurtech companies can anticipate in the coming years.
-    Exploring successful collaborations and partnerships driving innovation and growth in the insurance industry

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