Transformational AI

Chairpersons welcome and opening remarks. 

Over the last four years LNER has been on a digital transformation journey, from zero data science capabilities to establishing an in-house development team. Having a start-up mentality to innovation within a 200 year old industry has led to some interesting learnings, with a wide spectrum of opportunities identified  and investigated so far. 

Join Steven to learn more about the highs and lows the machine learning team has experienced, bringing to life some of the wins so far. He will also share insights on the teams’ learnings, with tips for those looking to make a similar transition. 

• What are the best developments and current breakthroughs in AI this year?  
• How are start-ups and enterprises approaching a new and evolved set of challenges?  
• Where is the future of the industry heading? 

Understanding the world of Generative AI and how this can be used across industries to generate images, text, music and more. 

• AI enabled immersive experiences, what do these look like?   
• Personalisation – how to capitalise on this key feature. 
• Discussing the importance of consistency, reliability, and ease of use for customer retention. 
• Combining AI and other disruptive technologies to create new services e.g. data for hyper-personalization and ML within the Metaverse. 

• The impact of deep learning and its evolution into ‘deep reasoning’ for cognitive tasks.  
• Unsupervised learning, the next frontier for deep learning.  
• As models become more efficient, AI software will have more free time to innovate. 

• A closer look at Quantum AI, how is the current market looking?  
• Evolving algorithms to optimise learning and understanding.  
• Solving real-world problems by applying real data to better trained ML models.

10-minute innovation slot 

10-minute innovation slot 

10-minute innovation slot 

With consumer demands for a better and more personalised service now a necessity, here we will look at the capabilities of AI enabled personalisation including:  

• Improving customer experiences with easy-to-use services and interactions.  
• Capturing consumers attention through categorisation and ‘personalized’ messaging.  
• The ability to meet growing demand.