• How do we review our machine learning model products before deployment?
• Ethical considerations during the review process
• How do we quantify customer and wider market benefits?

Viktor Kazinec, Head of Analytics, Close Brothers

• What are some of implications of the vast amounts of data that organisations now have available and how can companies best deal with this?
• The complicated ethics of machine learning: how do you keep on top of your AI & ML initiatives?
• How do you define data ethics and instil it within your organisation’s culture?
• In what ways can you ensure that your data ethics policy aligns with the values of customers?

Moderated by:

Di Mayze, Global Head of Data & AI, WPP

Panelists include:

Chris Dean, Global Head of Data & Analytics, Nomad Foods (NEW)

Matt Lovell, Global Director, Data, Insights & Media, Pret A Manger (NEW)

Jack Hardinges, Programme Lead, Data Institutions, Open Data Institute (NEW)

• Advances in AI mean that it is now possible to provide customers with a more personalised service – but this presents its own challenges
• The importance of knowing what your customer is happy with: and what about the “privacy paradox”?
• Combining identity data with behavioural data, whilst ensuring privacy regulations are met
• How to educate stakeholders throughout the organisation on the importance of harnessing data in a way that is aligned the organisation’s strategy & privacy regulations

Jean Ortiz Perez, Director, Data & Analytics, Collinson Valuedynamx

• How is data governance representation evolving at board level? How can you position these roles as crucial for the long term, not just the immediate future?
• In what ways can you avoid a “just enough” culture of data governance?
• How do you facilitate communication between teams so that gains are capitalised on for future investment?

Moderated by:

Gurprit Singh, Head of Data, Partners Capital (NEW)

Panelists include:

Lee Fulmer, Chief Data Officer & Global Head of Innovation Labs, UBS (NEW)
Dee Samra, Director, Data Excellence, Liberty Global

Mark Wilson, Data Governance Lead, Handelsbanken

• The amount of data that organisations are having to manage has vastly increased: what are the best ways of handling this?
• How can data governance be embedded into the culture of the organisation?
• Is automating data governance a potential answer?

Gillian Tomlinson, Group Chief Data Officer, Weir Group

Ina David, Head of Data & Analytics Strategy, NEST (NEW) 

Rupal Sumaria, Head of Data Governance, Penguin Random House UK (NEW)

• There are now ample opportunities to identify new potential customers, but why do these so rarely convert into long-term customers?
• How can you leverage your data better to increase the chance of future revenue?
• What is it going to take build long-term loyalty?

Zachery Anderson, Chief Data & Analytics Officer, NatWest Group (NEW)

• Businesses must act to eliminate silos and create effective channels of communication - or risk missing out on critical intelligence about their customers and operations
• How to make the most of increasingly comprehensive insights from an ever-growing data pool spanning the entire organisation
• What are the blind spots that hinder an efficient CX strategy and the creation of a truly holistic view of customers?
• How to use data as a connector to bring disparate parts of businesses together to earn loyalty by providing a frictionless CX and pre-empting customer needs

Neill Brookman, Senior Director, Solutions Engineering, Treasure Data

• What does the modern customer expect
• How do you develop a business-focused and value-driven CX Strategy that works for the whole organisation?
• How do you monitor and overcome silos to create a holistic, 360-degree view of the customer?
• In what ways do you empower your employees to accelerate recovery and growth through data-driven decision-making?
• How do you use data & analytics to improve retention and reduce churn to increase customer lifetime value?

Claire Tusler, Chief Data Officer, VCCP (NEW)
Jane Loveday, Global Data & Analytics Engagement Director, Mars Petcare (NEW)
Akinola Akinyemi, Head of Data Science, IG Group (NEW)

• With so many options now available to customers, how do you identify the customer data that really matters to maintain and improve customer loyalty?
• How should customer loyalty be defined going forwards?
• How do you adapt your strategy over the customer lifecycle and how do you utilise data to assist with this?
• How do you capitalise on customer loyalty data to increase the likelihood of future custom?

James Calvert, Chief Data Strategy Officer, M&C Saatchi

Jean Ortiz Perez, Director, Data & Analytics, Collinson Valuedynamx

• How can Chief Data & Analytics Officers best partner with other departments to turbo-charge the delivery of excellent service for all customers?
• How do you utilise personalised experiences and products to successfully boost loyalty, reduce churn, maximise spend, and deliver value to the business?
• How do you ensure that you include serendipity in your recommendations to avoid personalisation leading to a reinforcement/narrowing of the customer's consideration set?
• How do you avoid the ‘creepy factor’ – when personalisation becomes ‘too personal’ and starts unsettling customers? How do you build consent into your model?

Matt Lovell, Global Director, Data, Insights & Media, Pret A Manger

Natasha Gray, VP, Head of Data & Analytics, ViiV Healthcare (NEW)
Sid Shah, Global Head of Analytics & Insight, Conde Nast
Matthew Hodgson, Head of Data Science, Hiscox (NEW) 

• How can you leverage data and AI for business value?
• How can taking time to build the right data foundation drive faster transformation to being a data-driven organisation?
• How are organisations applying lakehouse architecture to reduce complexity and accelerate decision-making?
• What have been your business impacts of taking a simple, open, and collaborative approach for your data platform?

Moderated by:

Iain Humphries, Senior Manager, Business Value Consulting, EMEA, Databricks
Lexy Kassan, Data & AI Strategist, Databricks

• Why is a data-led culture so important to succeed with strategic objectives?
• How HSBC are pioneering a data-led culture throughout the organisation
• Hear practical examples of how cutting-edge AI and analytics are transforming HSBC’s customer experience

Kate Platonova, Group Chief Data Officer, HSBC (NEW)

• How can you streamline the ongoing understanding of the data being processed by the business and the laws and requirements that apply?
• How to enable transparency with individuals and facilitating & respecting their choice in how their data can be used
• Making data use trusted by default by automatically enforcing these policies, principles & choices across the IT ecosystem

Raj Jethwa, Offering Specialist, OneTrust

• When securing future investment, how do you balance demonstrating both short-term and long-term value from data?
• Are short-term gains important in order to increase confidence and trust in initiatives?
• How do you embed data transformation at all levels of the organisation and can this be quantified/measured?
• What methods do you use to align long-term data strategy to business goals?

Moderated by:

Alex Mahon, Head of Analytics, UK Power Networks (NEW)

Panelists include:

Peter Eckley, Head of Data & Analytics Strategy, Bank of England

Morna McAuley, Global Director, Data, Dyson (NEW)
Alwyn Thomas, Head of Data Strategy, Financial Times (NEW)

Paul Moxon, SVP, Data Architecture & Chief Evangelist, Denodo

• How can you capitalise on data science and artificial intelligence to uncover new business intelligence insights?
• Can augmented analytics be harnessed as a catalyst for creating a data literate workforce?
• No room for error: how to continually update models as your data changes and reduce bias
• How to overcome issues of trust and relevancy from data scientists and analysts

Lee Fulmer, Chief Data Officer & Global Head of Innovation Labs, UBS (NEW)

• How to turn data into the correct actionable steps and therefore obtain measurable value
• Enable the organisation to consume information and not confuse it with centralised data
• Drive proactive outcomes from data and pricing information for any team / group of users inside and outside the organisation
• Prepare enabling data consumption for all potential users with our platform that is future and consumption proof

Speakers:
Pinar Dolen, Global Head of Data Science & Analytics, Louis Dreyfus Company (NEW)
István Czilik, CEO, Revenue.ai

• Data doesn’t help, it’s the tools that create meaningful information from data - how are AI technologies helping you to capitalise on opportunities in an increasingly unpredictable business environment?
• Looking back at the last two years, would you say that decision situations are increasingly based on information that was gathered from analysing data?
• Can you share impact stories of recent digitalisation projects? How can you capitalise on gains and ensure reliability?
• Are we learning enough from analysing data yet? Where do you see big potential to extend the use of AI technologies?

Moderated by:

Kostja Siefen, Head of Global Technical Account Management, Gurobi Optimization

Panelists include:

Cian OMurchu, Head of Data Control Solutions, Deutsche Bank (NEW)

Neil Taylor, VP, Data Strategy, Mastercard

Anna Semens, Global Head of Data & Customer Insight, North Sails (NEW)

Rodrigo Marcos Carvajal, Head of Data & AI, Commercial & Holidays, easyJet (NEW)

Pete Williams, Director, Data & Online, Penguin Random House UK (NEW)

• The importance of building the right foundations for effective data management
• Identifying the key issues preventing scalable, replicable and robust solutions
• Setting effective data standards to improve data quality and drive decision making

Tomas Sanchez Lopez, Chief Data Architect, Office for National Statistics

• How have you increased the data literacy level of your organisation and built up data capability?
• What practical steps have you taken within the organisation in order to allow employees to be able to read, understand, interpret & tell stories with data?
• How can you empower colleagues to self-serve their data & analytics needs, and free up the data team to focus on more complex projects?
• Which tasks can be completely through self-service, and which need to be left to the data science team?

Moderated by:

Ted Orme, Head of Data Integration Strategy, EMEA, Qlik

Panelists include:

Chris Butler, Chief Data Officer, HSBC UK (NEW)

Andy Ruckley, Chief Data Officer, Maritech

Ina David, Head of Data & Analytics Strategy, NEST (NEW)
David Teague, Head of Data, BBC (NEW)

• There has been an explosion in data volumes, due to new analytics and AI capabilities, and the increase in data-consumer demands
• How has this changed how data needs to be moved, stored, processed, and delivered to data analysts and data scientists?
• Why traditional data integration isn’t designed for real-time data-streaming or an automated analytics data pipeline – how can this be rectified?
• How can businesses modernise their infrastructure to deliver insights in the moment and act on trusted data?
  

Moderated by:
Ted Orme, Head of Data Integration Strategy, EMEA, Qlik

• How are you embedding innovation into team culture(s)?
• What are the outcomes of digital twin technology within an elite sports team?
• How does applying the Cynefin framework work in practice?
• Data democratisation - How do you approach what information you share with riders, and how you deliver it?

Paul Barratt, Head of Performance Support & Innovation, INEOS Grenadiers Cycling Team (NEW)

• As investors become increasing aware of ESG data, what can organisations do to act on this now?
• How can ESG data be kept as transparent and objective as possible?
• With the public become increasingly used to data becoming part of their everyday lives, what’s next for ‘data for good’?

Moderated by:
Nirali Patel, Director, Data & Analytics, Openreach

Panelists include:

Jose Sanchez Loureda, Chief Data Officer, The Crown Estate
Edosa Odaro, Head of Data, AIG (NEW)
Sam Livingstone, Head of Data Science, Jupiter Asset Management

• How data at scale was built in a financial services company from the ground up
• Transitioning from offensive to defensive: moving away from data purely to meet regulatory demands to leveraging value
• Practical insights & top tips on building a high value data environment

David Leake, Head of Data, Rathbones Group Plc (NEW)

• Sharing the journey undertaken to put data at the heart of our insights
• Driving strategic value with loyalty and consumer analytics
• Building the teams and mindset for long-term change
• Embedding data and digital products for maximum impact

Ed Child, Global Head of Consumer Data & Digital Analytics, Costa Coffee (NEW)

• How can you make the right data available to the right people at the right time, whilst also complying with privacy regulations?
• What are the implications of having great amounts of data available to teams? What are the downsides and how can these be dealt with?
• Top tips for moving towards of a culture of making decisions based on data
• Who should be responsible for data governance within visualisation? Should it always be the data team or should data governance be democratised?

Moderated by:
Nirali Patel, Director, Data & Analytics, Openreach

Panelists include:

Jonathan Roberts, Chief Data Scientist, Ministry of Justice (NEW)
Nirali Patel, Director, Data & Analytics, Openreach

Kassim Hussein, Head of Enterprise Analytics, Cleveland Clinic London (NEW) 

Kautilya Jain, Chief Data Scientist, Signal Capital Partners (NEW)
Karina Korpelo, Director, Advanced Analytics, Invesco (NEW)

• How has the public perception of data changed over the last two years and how does this impact our function?
• What’s next for your organisations in terms of data & analytics and how have you secured investment in this?
• What can be done to encourage more people to consider data & analytics as a career path?
• What have been your key learnings & takeaways from the event?

David Teague, Head of Data, BBC (NEW)
Kautilya Jain, Chief Data Scientist, Signal Capital Partners (NEW)
Alexandra Gillon-Livesey, Head of Strategic Partnerships, Chief Data & Analytics Office, JP Morgan (NEW)
Nick Watkins, Deputy Director, Data Science & Visualisation, UK Health Security Agency (NEW)