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Day 2 - 7th September

08:30AM

Registration Opens

09:15AM

Data & Analytics: Chairperson’s Welcome

09:30AM

Dan Taylor

Head of Engineering

Trainline

Associated Talks:

09:30AM - Day 2

View Building a holistic city-wide data ecosystem

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Building a holistic city-wide data ecosystem

  • How Trainline’s data platform powers real-time data-driven product innovations around customer engagement and personalisation
  • Using a real-time data stack to solve unique problems
  • Delivering cross-functional data product innovations
. Dan Taylor, Head of Engineering, Trainline

09:50AM

Predicting trends with Natural Language Processing

  • Examining some use cases of NLP applications including spam detection, translation, chatbots & social media analysis 
  • Filling the gap between human communication and computer understanding 

10:20AM

Quantifying the customer

  • From customer insights to customer action – how to capture intent 
  • Using this data for activation 
  • Maximising retention and profit 

10:40AM

Top traits of world-class data management

  • Where is your data management strategy falling short? 
  • How to ensure the agility, resiliency and availability of your data is up to scratch 
  • Aligning your data to your business goals 

11:00AM

Networking Break

11:20AM

Panel: Data analytics for intelligent decision making

  • Identifying target-rich, high-value data that can be used to generate business intelligence 
  • How to leverage data and analytics to optimize every decision, process and action 
  • Real time data analytics in practice – examples of how data is creating business efficiency and revolutionising working practices 

12:00PM

The missing link: using RPA for unstructured data

  • How using robots can manage and move your data from unstructured to structures 
  • Insights into use of Optical Character Recognition and Natural Language Recognition 
  • Navigating human and non-human errors 

12:20PM

Richard Jones

Advanced Analytics (AI / ML) Portfolio Manager

GSK

Associated Talks:

12:20PM - Day 2

View Machine Learning for cybersecurity

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Machine Learning for cybersecurity

  • Details to follow
. Richard Jones, Advanced Analytics (AI / ML) Portfolio Manager, GSK

12:40PM

Data Solution Presentation

  • Details to follow… 

01:00PM

Networking Break

01:50PM

Afternoon Keynote: Working smarter not harder – Transforming your business post-pandemic

  • Why you should be digitalising your business processes 
  • Keeping your workforce online in the ‘new normal’ 
  • Increase predictability and performance through improved communication  

02:20PM

Panel: Making sense of your data

  • Resource management – Utilising your old data and storage 
  • Identifying and breaking down silos 
  • Tips for extending business capability of your data projects and delivering insights 
  • Keeping your data lakes clear and navigable 

03:00PM

Data as a service

  • Improve the agility of your data workload and increase its reliability 
  • How using DaaS can maximise functionality and flexibility 

03:10PM

Data Solution Presentation 2

  • Details to follow…

03:20PM

What does Quantum mean for AI?

  • Understanding the basics – what is quantum computing and how much can it impact our lives? 
  • How can quantum impact existing AI technologies – speed and potential 
  • Leveraging the elastic nature of the cloud 

03:40PM

Building a scaleable data platform

  • Details to follow…

03:50PM

Kick-starting your next data science project

  • How data can help solve your immediate business processes 
  • Moving from proof-of-concept to pilot stage 
  • Where to go from here? 

04:10PM

End of Conference

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