Practical Magic

08:30 - 13:00
UK
20.2.2024
Conference

Fora, 180 Borough High Street

London

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Practical Magic

London

Conference

February 20, 2024

Summary

How to use AI in eCommerce right now

Somehow we missed the chance to bleat on about AI in 2023. Thankfully there are now plenty of examples where our eCommerce community have deployed AI tools, and are seeing results. It seems that 2023 has been a year of small tests, some bigger projects but possibly not going “all in”. In 2024 we know for a fact that some of our members have big plans, so it seems the right time in February to support the debate and bring everyone together around this pivotal technology - after all we’re about the Future aren’t we?

Come for speakers, stay for workshops and honest debate. Oh, and community too - we love that word even though often we don’t know what it really means.

PastriesDelegates networkingDelegates networkingAudience at a Commerce Futures conference.

We are hearing about:

  • Product information enrichment AI outcomes
  • Automated content creation
  • AI optimised landing pages
  • The better bot - AI for Customer Service
  • And more… of course
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Paul Wilkinson

Paul Wilkinson

Group Product Manager

Deliveroo

Paul is passionate about the future of retail and creating new shopping experiences. In his current role he is helping retailers provide quick delivery services to customers in a scalable way. In the past he was instrumental in the creation and success of Tesco Labs and built and launched advanced grocery voice shopping experiences on Alexa.

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Thanos Vlontzos

Thanos Vlontzos

Machine Learning, AI and Causality Research Scientist

Spotify

Dr. Athanasios (Thanos) Vlontzos, Research Scientist at Spotify and visiting researcher at Imperial College London, has extensive experience in academic and industrial research, including affiliations with GE Healthcare, NASA Frontier Development Lab, Zeit Medical, and Apple.

His expertise lies in causal reasoning and machine learning, focusing on developing high-quality AI solutions with appropriate safeguards. With over 29 papers in impactful conferences and journals, his recent work is featured in academic (Nature Machine Intelligence) and popular science journals (MIT Tech review), and recognized by notable figures like Bill Gates and Turing Award recipient Judea Pearl.

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Zahra Sabetsarvestani

Zahra Sabetsarvestani

Senior Machine Learning Scientist

Booking.com

Completed my PhD in Machine Learning in London. After that, I joined AIG Investments AI team as a machine learning scientist, where I had the privilege of collaborating with a diverse team of data engineers, business analysts, and domain experts. Together, we embarked on a mission to optimise the investment process by designing and implementing innovative AI models. Finally, I joined the fintech team at Booking.com. I work in developing cutting-edge ML products that play a pivotal role in determining the best payments or fintech solutions to offer to Booking.com customers. Working in a live and online environment on the platform has presented exciting challenges and opportunities to continuously enhance the customer experience through personalised and data-driven recommendations.

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Leaf wall textureSmiling woman networking at a Commerce Futures eventSmiling woman networking at a Commerce Futures eventPastries in front of delegates
18:30
Arrival & Welcome Drinks
19:15
Guests Sit
19:20
Welcome
Commerce Futures
19:30
Opening Speech
Paul Wilkinson
Thanos Vlontzos
Zahra Sabetsarvestani
20:00
Starters
Topic One - Discussion at individual tables
20:20
Topic One discussed as a collective
20:40
Mains
Topic Two - Discussion at individual tables
21:10
Topic Two discussed as a collective
21:30
Desserts & Networking
23:00
Event Closes
18:30
Arrival & Welcome Drinks
19:15
Guests Sit
19:20
Welcome
Commerce Futures
19:30
Opening Speech
Guest Speaker
20:00
Starters
Topic One - Discussion at individual tables
20:20
Topic One discussed as a collective
20:40
Mains
Topic Two - Discussion at individual tables
21:10
Topic Two discussed as a collective
21:30
Desserts & Networking
23:00
Event Closes
08:30
Registration & Networking Breakfast
09:15
Welcome from Commerce Futures
09:25
Ryan Clark, STATSports & Jim Hingston, The Gym Group
Keynote
10:10
Hollie Weatherstone, Muc-Off
Keynote
10:35
Break
10:55
Multi-brand panel – Decathlon, Ellis Brigham, Helen of Troy
Keynote (Main Stage)
Speed dating for delegates
(Breakout Room)
11:50
George Huxford, Apidura
Keynote
12:15
Break
13:15
Rich Philip, Contested
Keynote
13:40
Marc Guisti, Veloforte
Keynote (Main Stage)
David Hanney, Alpkit
(Breakout Room)
14:35
Networking
15:00
Closing Remarks from Commerce Futures
18:30
Arrival & Welcome Drinks
19:15
Guests Sit
19:20
Welcome
Commerce Futures
19:30
Opening Speech
Guest Speaker
20:00
Starters
Topic One - Discussion at individual tables
20:20
Topic One discussed as a collective
20:40
Mains
Topic Two - Discussion at individual tables
21:10
Topic Two discussed as a collective
21:30
Desserts & Networking
23:00
Event Closes
18:00
Arrival & Welcome Drinks
18:45
Guests Sit
18:50
Welcome
Commerce Futures
19:00
Opening Speech
Guest Speaker
19:30
Starters
Topic One - Discussion at individual tables
19:50
Topic One discussed as a collective
20:10
Mains
Topic Two - Discussion at individual tables
20:40
Topic Two discussed as a collective
21:00
Desserts & Networking
22:30
Event Closes

AGENDA

08:30  Arrival & Networking Breakfast 

09:00  Welcome from Commerce Futures & Partner Introductions 

09:15   Introductory Keynote - Paul Wilkinson, Product Leader, at Deliveroo - How Deliveroo are using AI across all departments

09:45  Workshop - 2 streams 

           Topic 1: How did you encourage employees and customers to accept, like, or adopt the new AI technology?

           Topic 2: What advantages and pitfalls have you experienced with AI, both internally and in a customer-focused context?

10:05  Group discussion of the topics

10:15  Interactive Questions

10:50  Refreshment break 

11:10    Panel discussion

            Athanasios Vlontzos, Machine Learning, AI and Causality             Research Scientist at Spotify

            Zahra Sabetsarvestani, Senior Machine Learning Scientist at             Booking.com

12:00   Final Comments before Networking  

12:30   Event closes

09:00
Registration & Networking Breakfast
09:30
Welcome & Partner Introductions
09:40
Panel Discussion with Q&A
Paul Wilkinson
Thanos Vlontzos
Zahra Sabetsarvestani
10:20
Networking Break
10:40
Workshop at tables
11:00
Group Discussion - Moderated
11:20
Final Comments & Networking
11:30
Event Closes
Paul Wilkinson

Paul Wilkinson

Group Product Manager

Deliveroo

Paul is passionate about the future of retail and creating new shopping experiences. In his current role he is helping retailers provide quick delivery services to customers in a scalable way. In the past he was instrumental in the creation and success of Tesco Labs and built and launched advanced grocery voice shopping experiences on Alexa.

LEARN MORE →Close icon
Thanos Vlontzos

Thanos Vlontzos

Machine Learning, AI and Causality Research Scientist

Spotify

Dr. Athanasios (Thanos) Vlontzos, Research Scientist at Spotify and visiting researcher at Imperial College London, has extensive experience in academic and industrial research, including affiliations with GE Healthcare, NASA Frontier Development Lab, Zeit Medical, and Apple.

His expertise lies in causal reasoning and machine learning, focusing on developing high-quality AI solutions with appropriate safeguards. With over 29 papers in impactful conferences and journals, his recent work is featured in academic (Nature Machine Intelligence) and popular science journals (MIT Tech review), and recognized by notable figures like Bill Gates and Turing Award recipient Judea Pearl.

LEARN MORE →Close icon
Zahra Sabetsarvestani

Zahra Sabetsarvestani

Senior Machine Learning Scientist

Booking.com

Completed my PhD in Machine Learning in London. After that, I joined AIG Investments AI team as a machine learning scientist, where I had the privilege of collaborating with a diverse team of data engineers, business analysts, and domain experts. Together, we embarked on a mission to optimise the investment process by designing and implementing innovative AI models. Finally, I joined the fintech team at Booking.com. I work in developing cutting-edge ML products that play a pivotal role in determining the best payments or fintech solutions to offer to Booking.com customers. Working in a live and online environment on the platform has presented exciting challenges and opportunities to continuously enhance the customer experience through personalised and data-driven recommendations.

LEARN MORE →Close icon

Venue

Fora, 180 Borough High Street

A distinctive building designed to empower you, with spaces to focus, collaborate, recharge and socialise. The space features enhanced wellness amenities, including meditation spaces, roof terraces and more. The building is also located within a 1 minute walk from the Borough Tube Station, making it easily accessible.

Find directions →
Practical Magic

Partners

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