• What separates manufacturers generating measurable value from those still experimenting with AI?
• Why has cyber and data risk become a board-level concern rather than an IT problem?

• Where should manufacturers start if they want AI to deliver measurable operational impact?
• What foundations (data, governance, ownership, skills) must be in place before scaling AI?
• How must leadership rethink digital investment to improve national productivity?
• How do you move from pilot projects to sustainable, enterprise-wide deployment?
• What can go wrong and lessons to learn when deploying AI in organization?

• What does “good” data governance actually look like in a manufacturing environment in terms of its business benefits in the age of AI? Practical examples and case studies.
• What are the foundational elements of data governance, the role of data quality, and why data literacy is essential for our organisations?
• Is there a bridge between operations and business and how do we oversee the governance? What is the role of operational teams in data governance?
• How can data quality be measured in a way that drives operational improvement?
• How do organisations embed data literacy beyond dashboards and catalogues?

• Who should own AI and digital transformation — IT, operations, digital, or a dedicated function?
  
• What skills gaps most commonly prevent manufacturers from scaling digital initiatives?
  
• How can organisations avoid “solution overload” and maintain focus?  
  
• Is our senior leadership team aware what it takes to perform the transformation and how they enable the transformation? 
  

Join a roundtable discussion for a deep-dive, interactive discussion with your peers on some of the day’s most important themes. Address common problems, benchmark your progress and come away with practical solutions and takeaways!

1. How can manufacturing companies  keep data secure? What are  public examples of cyber breaches and the root causes?
2. Data AI & strategy - where to start and how to scale?
3. How do you ensure digital investment drives long-term enterprise value? Creating the right mindset and culture. Where is the weakness in our culture? Are we self-introspective?
4. How to avoid being overload by high volumes of data and how to unleash data value?
5. How do you turn the data strategy into measurable  benefits in manufacturing  environment such as cost savings , efficiency, improvements in hours or headcount production as an example?