Day 2

28 June 2018

AI and the Consumer

Gartner predict that by 2020 – 85% of customer interactions will not be managed by humans. Customers now have a wealth of information at their fingertips and can easily compare price, quality and service so how can brands stand out from the crowd and really engage with their customers? From using chatbots to communicate to using AI to predict behaviours and buying patterns, to recommendations and personalisation, this session will look at how AI is changing the customer experience.

09:15AM

AI and the Consumer: Chair’s Welcome

09:30AM

Keynote: The future of AI for customer experience

  • Explore how AI is being used to accelerate customer-centric experience design
  • Practical applications to leverage AI
  • How big data and contextual computing is influencing the consumer
  • A look at the next generation of consumer analytics
  • Using computer vision and natural language processing to enhance customer experience
  • How does GDPR effect things?

10:00AM

Panel: ChatBots – the next generation of messaging apps

  • Understanding the messaging platform of the future
  • Creating personalized interaction between the consumer and a brand
  • Measuring the success of your chatbot though engagement levels, sentiment analysis, response rates, bot mentions and click through rates

10:45AM

AI in action

Real use case studies of brands using AI to drive growth and engage with their customers.
A look at best practise and common pitfalls to avoid.

11.15AM

Networking Break

11:45AM

Panel: Examining AI uses in Banking & Finance Services

  • Explore current AI applications within the financial & banking sectors
  • The advancement of Robo advisers into Robo trading
  • Automated financial advisors and planning developments, and data driven lending systems
  • The future value of machine learning within the finance & banking sectors enabling fraud reduction

12:15AM

Case Study: Future of travel: man vs machine

  • Looking at real life examples of Artificial Intelligence within the travel sector

12:45PM

Panel: AI transforming Healthcare

Peter Hamley

Global Head, External Innovation, Drug Discovery Platforms

Sanofi

Associated Talks:

12:45PM - Day 2

View Panel: AI transforming Healthcare

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  • How is AI changing the way that healthcare is delivered?
  • Machine learning and big data – how to leverage new data sets to deliver personalised medicine
  • Innovative ways machine learning and deep learning are being used to develop new drugs
  • Challenges for the future
. Peter Hamley, Global Head, External Innovation, Drug Discovery Platforms, Sanofi

01:30PM

Networking Lunch

02:30PM

Afternoon Keynote: Digital assistants and their relationship with the consumer

  • What does the advent of digital intelligent assistants mean for businesses and consumers?
  • How are artificial intelligence and machine learning programmes being used in everyday consumer products
  • Building consumer trust in AI in areas such as financial planning, education and medical diagnosis
  • What are the privacy issues surrounding the use of intelligent assistants & how do we protect data

03:00PM

Panel: The Revolutionising of Customer Experiences through AI

  • The impact of AI and understanding when AI is most effective as a tool for customer service
  • Why smart tech are key to creating contextual experiences
  • Using AI to predict consumers intentions
  • Effective personalisation of communications to create positive impacts
  • What’s the most effective way of engaging staff and help them work along-side AI?
  • What are the cost implications both short and long-term?

03:45PM

Case Study: Influencing the new wave of marketing

A case study from a world leading brand discussing how AI and ML can create truly 1:1 marketing experiences, and help lower costs, and man hours whilst bridging the gap between data and personalised customer experiences

04:15PM

Panel: Predictive analytics for customer recommendations

  • How to deliver truly personal and unique recommendations
  • Deep learning tools that personalize a user’s experience
  • Enhancing suggestions using self-learning algorithms
  • Taking recommendations to the next level

5:00PM

Session Close