Day 2

30 November 2017

AI in Consumer & Digital Transformation

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.

09:30AM

AI in Consumer & Digital Transformation: Chair’s Welcome

Brandon Purcell

Senior Analyst

Forrester Research

Associated Talks:

09:30AM - Day 2

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. Brandon Purcell, Senior Analyst , Forrester Research

09:45AM

Keynote: How to Leverage Artificial Intelligence in Digital Transformation

Geeta Wilson

Vice President, Consumer Experience – Enterprise Transformation

Humana Inc.

Associated Talks:

09:45AM - Day 2

View Keynote: How to Leverage Artificial Intelligence in Digital Transformation

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  • Explore how AI is being used to accelerate customer-centric experience design and achieve digital transformation
  • Practical applications to leverage AI
  • How big data and contextual computing is influencing the consumer
. Geeta Wilson, Vice President, Consumer Experience – Enterprise Transformation , Humana Inc.

10:15AM

Panel: ChatBots – the next generation of messaging apps

Gail Seanor

Sr Director, Marketing Technology

TGI Friday's

Associated Talks:

10:15AM - Day 2

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Marissa Chacko

Director of Consumer Products

Foursquare

Associated Talks:

10:15AM - Day 2

View Panel: ChatBots – the next generation of messaging apps

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  • 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
. Gail Seanor, Sr Director, Marketing Technology, TGI Friday's
. Marissa Chacko, Director of Consumer Products, Foursquare

11:00AM

The role of AI/ML in Advertising & Marketing

Sunanda Parthasarathy

Assoc. Dir. Data Science | Algorithms | Machine Learning

Wayfair

Associated Talks:

11:00AM - Day 2

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. Sunanda Parthasarathy, Assoc. Dir. Data Science | Algorithms | Machine Learning, Wayfair

11:30AM

Networking Break

12:00PM

Case Study: Using an algorithm to figure out what luxury customers really want

Ana Brant

Director, Global Guest Experience & Innovation

Dorchester Collection

Associated Talks:

12:00PM - Day 2

View Case Study: Using an algorithm to figure out what luxury customers really want

12:20PM - Day 1

View Panel: The Revolutionising of Customer Experiences through AI

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  • Pursuing disruptive insights by creating and connecting a multi-medium customer listening strategy
  • How to use AI to turn your discerning customers into loyal fans by listening with extreme empathy
  • Identify touchpoints that matter. Design, craft and curate experiences around those key moments
  • Disrupt, prototype and reverse-engineer your organization to deliver ultra-luxury experiences
. Ana Brant, Director, Global Guest Experience & Innovation, Dorchester Collection

12:20PM

Panel: The Revolutionising of Customer Experiences through AI

Brandon Purcell

Senior Analyst

Forrester Research

Associated Talks:

09:30AM - Day 2

View AI in Consumer & Digital Transformation: Chair’s Welcome

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Chen Peng

Head of Uber Everything Data Science

Uber

Associated Talks:

12:20PM - Day 1

View Panel: The Revolutionising of Customer Experiences through AI

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Ana Brant

Director, Global Guest Experience & Innovation

Dorchester Collection

Associated Talks:

12:00PM - Day 2

View Case Study: Using an algorithm to figure out what luxury customers really want

12:20PM - Day 1

View Panel: The Revolutionising of Customer Experiences through AI

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  • 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?

 

Moderator: . Brandon Purcell, Senior Analyst , Forrester Research
. Chen Peng, Head of Uber Everything Data Science, Uber
. Ana Brant, Director, Global Guest Experience & Innovation, Dorchester Collection

01:05PM

Examining AI uses in Banking & Finance Services

Steve Ellis

EVP, Head of the Innovation Group

Wells Fargo

Associated Talks:

01:05PM - Day 2

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  • 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
. Steve Ellis, EVP, Head of the Innovation Group, Wells Fargo

01:35PM

Networking Lunch

02:30PM

Keynote: The Rise of the Virtual Assistant

  • What does the advent of digital intelligent assistants mean for businesses and consumers?
  • How are artificial intelligence and machine learning programmes finally starting to appear within everyday consumer products
  • What are the privacy issues surrounding the use of virtual assistants & how do we protect data

03:00PM

Panel: Predictive analytics for customer recommendations

Yunsong Guo

Staff Machine Learning Engineer

Pinterest

Associated Talks:

03:00PM - Day 2

View Panel: Predictive analytics for customer recommendations

03:45PM - Day 1

View Case study: How Pintrest uses Machine Learning to increase user engagement

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Tatsiana Maskalevich

Data Science Manager, Stylist and Customer Service Algorithms 

Stitch Fix

Associated Talks:

03:00PM - Day 2

View Panel: Predictive analytics for customer recommendations

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Mike Tamir

Data Science Faculty

UC Berkeley

Associated Talks:

03:00PM - Day 2

View Panel: Predictive analytics for customer recommendations

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  • 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
. Yunsong Guo, Staff Machine Learning Engineer, Pinterest
. Tatsiana Maskalevich, Data Science Manager, Stylist and Customer Service Algorithms , Stitch Fix
. Mike Tamir, Data Science Faculty, UC Berkeley

03:45PM

Case study: How Pintrest uses Machine Learning to increase user engagement

Yunsong Guo

Staff Machine Learning Engineer

Pinterest

Associated Talks:

03:00PM - Day 2

View Panel: Predictive analytics for customer recommendations

03:45PM - Day 1

View Case study: How Pintrest uses Machine Learning to increase user engagement

View Full Info

. Yunsong Guo, Staff Machine Learning Engineer, Pinterest

04:15PM

Session End

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