DATA PIONEERS SUMMIT –DAY ONE TUESDAY 1ST OCTOBER 2024
8:00 am - 8:45 am
Registration and Coffee
8:45 am - 8:50 am
Welcome Address: Ajanta Palmiero-Rundle, Conference Director, Data Pioneers Summit
8:50 am - 9:00 am
Chairperson's Opening Remarks:
Susan Walsh -
Founder & Managing Director,
The Classification Guru
EMPOWERING YOUR LEADERS TO BE DATA ADVOCATES
9:00 am - 9:20 am
CDO Opening Keynote: How Gen AI is shaping our insurance business models and what can be learnt across different industries
Roland Scharrer -
Group Chief Data, AI & Emerging Technology Officer,
AXA
- Learn how we have used generative AI for data-driven insights that identify opportunities for innovative digital business models, enhancing customer satisfaction and driving revenue growth
- Explore the successful ways in which generative AI can leverage data-driven approaches to enable on-demand services and embedded offerings that cater to today’s dynamic consumer preferences
- Discover how data-driven technologies such as AI are driving preventative healthcare solutions, reducing risks, and minimizing losses while enhancing customer well-being
CAPITALISING ON THE FUTURE OF DATA & ANALYTICS
9:20 am - 9:40 am
CDO Keynote: How we have enabled a transformative shift towards data-first ways of working to drive greater value from our data analytics capabilities
Igor Kuettschreutter -
VP Global Head of Data Assets,
Heineken
- Learn how we developed a robust organisational model that aligned data strategy with broader business objectives, to create a foundation for informed decision-making and maximised the inherent value of data
- Explore the ways in which we increased collaboration between our data teams and wider business functions to accelerate the deployment of data products and allow the full potential of data-driven processes
- Understand the strategies for fostering a data-first mindset across the organisation, and the cultural shifts that we needed to embed data advocacy at every level and achieve sustained success in the evolving landscape of data analytics
DEFINING THE DATA-DRIVEN ENTERPRISE OF 2025
9:40 am - 10:10 am
Panel Discussion Interactive: How can you ready your people and processes to unlock the full potential of emerging automation, AI and ML technologies?
Charles Phiri -
Executive Director AI / ML Innovation,
JP Morgan
Sarah Barr-Miller -
Director of Data & Analytics,
British Airways
Pete Williams -
Chief Data Officer,
Penguin Random House
- To what extent is the increasing terminology related to data actually helping or hindering strategy and processes in an evolving landscape of information management?
- What criteria should organisations adhere to when architecting a modern data strategy to effectively balance the need for automation with the importance of keeping human-centricity at the heart of data analytics?
- What role do emerging technologies such as AI and ML play in shaping a forward-looking data strategy, and how can organisations harness their potential whilst addressing risks and biases?
ACCELERATING YOUR D&I INITIATIVES
10:10 am - 10:30 am
Industry Interview: How can you take advantage of rapidly accelerating technology advances, the recognised value of data and increasing data literacy to stay ahead of the curve and gain an information edge?
- How can you harness the power of rapidly advancing technologies and elevate data literacy across the enterprise to make strategic decisions that outpace competitors?
- How can technologies be integrated to optimise processes, enhance product development, and ensure that the enterprise remains at the forefront of industry innovation?
- What tools and best practices should be adopted when creating a robust and compliant framework to foster a secure business environment for both the enterprise and external clients?
Available for sponsorship (big consultant)
10:30 am - 11:00 am
Panel Discussion: How can you innovate your data management to accelerate digital transformation and better manage the growing volume and complexity of your enterprise data?
Felix Streitchert -
Chief Data Manager, Manufacturing,
Bosch
David Hall -
Director, Data Architecture Governance,
Barclays
Ruth Ardura -
Head of Data Management,
Aegon
- How can organisations leverage emerging technologies in their data management strategies to streamline processes and enhance decision-making in the era of digital transformation?
- In the face of increasing data volume and complexity, what best practices and methodologies can be adopted to ensure robust data management and governance whilst still fostering innovation and agility?
- What key considerations should enterprises keep in mind when selecting and implementing ever-evolving data management solutions to optimise storage and analysis for improved business outcomes?
11:00 am - 11:40 am
Morning Networking break
TRACK A :MASTERING DATA STRATEGY AND INFRASTRUCTURE
11:40 am - 12:20 pm CDO Case Study Interactive: Structuring for success: How to design agile teams with diverse skillsets to foster a data-first culture and drive business performance Dan Kellett - Chief Data Officer, Capital One- Explore innovative methods for designing agile data teams that align with evolving business needs in the face of dynamic data challenges
- Think outside the box when hiring and upskilling diverse talent to drive business outcomes with a data-first mindset
- Examine strategies for instilling a data-centric mindset across all levels, fostering a culture that values data as a strategic asset
Following the case study, you will join a small group of your peers to address a question put to you by the speakers.
TRACK A :MASTERING DATA STRATEGY AND INFRASTRUCTURE
12:20 pm - 12:40 pm Client Case Study/ Fireside Chat: Harnessing Virtualised Models: How to adopt data virtualisation strategies to overcome analytics bottlenecks and boost market acceleration- Unify data access through virtualisation to break down silos and analytics bottlenecks for a inclusive decision-making
- Use virtualised models for advanced democratisation that allows for data manipulation with minimal technical skill
- Explore how virtualised models liberate teams from infrastructure constraints and accelerate real-time insights for swift market adaptation
Available for sponsorship
TRACK A :MASTERING DATA STRATEGY AND INFRASTRUCTURE
12:40 pm - 1:20 pm Panel Interactive: Advocating Data Literacy: How can data leaders help advance the understanding of data terminology to improve data driven decision-making across the business? Perry Phillip - Chief Data Officer, Entain Lei Pan - Group Head of People Insight & Analytics, Shell Masami Shimizu - Head of Analytics Platforms & Data Enablement, Wayfair Ian Wallis - Managing Director, Data Strategists Ltd- How can the effectiveness of data literacy initiatives be measured that are able to adapt to evolving data challenges?
- What are the best steps for bridging the gap between technical terminology and practical interpretation to empower all teams across the business?
- Which training and education programs have been effective in allowing for a sufficient level of communication across necessary teams and platforms?
Track B - Advancing Analytics to accomplish ML and AI modelling
11:40 am - 12:20 pm Case Study Interactive: A virtuous AI governance cycle: How Intesa Sanpaolo have utilised data governance- Learn how Intesa’s AI program is leveraging on data quality and governance frameworks
- Explore the ways in which data quality and governance frameworks are gaining efficiency following the implementation of AI programs
- Consider how data science and data governance teams can combine their expertise and techniques
Following the case study, you will join a small group of your peers to address a question put to you by the speakers
Track B - Advancing Analytics to accomplish ML and AI modelling
12:20 pm - 12:40 pm Client Case Study/ Fireside Chat: Elevating data workflows: How to integrate AI and ML into workflows to streamline operations and improve decision-making- How to uncover the best optimisation strategies to elevate data workflows and ensure that they are perfectly tuned for ML and AI
- How to overcome challenges related to data volume, processing speed and real-time analytics to foster a robust ecosystem
- How to optimise data workflows to facilitate the training, deployment and management of AI and ML models
(Data / AI tools or consultancies, or advanced analytics and data science tools)
Track B - Advancing Analytics to accomplish ML and AI modelling
12:40 pm - 1:20 pm Panel Interactive: Harmonising AI expertise: What are the best ways to upskill your data team and the wider business to help get the most out of the latest AI tools? Vineet Basotia - Global Head, Head Strategic Insights & Analytics Health Systems, Philips Claudia Villasis-Wallraff - Head of Data Driven Treasury, Deutsche Bank Sarah Higham - Group Data Governance Manager, Pets at Home- What key performance criteria should be considered to evaluate the impact of a centralised AI/ML excellence or collaborative upskilling of existing data teams?
- How are teams across different departments being equipped with AI knowledge, and what challenges and successes have emerged whilst fostering this new culture?
- How have different enterprises measured the success of their chosen AI integration models, and how do these models contribute to the overall strategic goals of the business?
Following the panel, you will join a small group of your peers to address a question put to you by the speakers
Track C - Interactive Workshops
11:20 am - 12:00 pm Data Democratisation: How to overcome data access inclusivity challenges to drive innovation and transform decision-making strategiesData Analytics Tools & Platforms
Track C - Interactive Workshops
12:20 pm - 1:00 pm Elevate your data and analytics processes through the use of automation, AI and Gen AI to discover valuable insights hidden within unstructured data
1:20 pm - 2:20 pm
Networking Lunch Break
Network with your industry peers and make valuable new contacts during our lunch networking break in the buzzy lunchroom. Recharge for a packed afternoon of sessions and meetings with relevant hand-picked solution providers.
1:20 pm - 2:20 pm
Lunch Workshop 3
Women In Data Lunch Workshop – Empowering women in data analytics: Strategies for attracting, developing, and retaining top female data analytics talent
TRACK A -MASTERING DATA STRATEGY AND INFRASTRUCTURE
2:20 pm - 2:50 pm Case Study Interactive: Increasing data accessibility: Implement effective self-service and real-time capabilities to increase adoption rates across the organisation- How self-service data tools be deployed to increase adoption rates by both internal employees and external clients alike?
- How to determine the level at which real-time data is a need or want, and prioritise that which aligns with the dynamic needs of necessary stakeholders
- How to outline the faults in strategies that have been unsuccessful compared with those which have empowered users to independently access and interpret data to inform decision-makin
TRACK A -MASTERING DATA STRATEGY AND INFRASTRUCTURE
2:50 pm - 3:10 pm Case Study: Mastering data synergy: How to standardise terminology and datasets to improve interconnectivity across data pipelines within and beyond the organisation and data quality Mathias Frey - Head of Data Platform Architecture, Erste Group Bank- Establish a comprehensive and standardised terminology framework to ensure consistency in data literacy across departments, teams and platforms
- Examine the role of metadata standards to enhance dataset discoverability, ensure data lineage, and support the scalability of interconnected data pipelines
- Explore best strategies for extending standards to external partners for seamless data collaboration and exchange
TRACK A -MASTERING DATA STRATEGY AND INFRASTRUCTURE
3:10 pm - 4:00 pm Panel Interactive: Optimising Data Dynamics: How can you structure enterprise-wide data teams to drive business performance through a data-first culture? Masami Shimizu - Head of Analytics Platforms & Data Enablement, Wayfair Bindu Bakrania - Head of Data & Analytics, Legal & General Capital Dan Kellett - Chief Data Officer, Capital One
TRACK B- ADVANCING ANALYTICS TO ACCOMPLISH ML AND AI MODELLING
2:20 pm - 2:50 pm Case Study Interactive: No garbage in no garbage out: How to better collect and govern data to improve data integrity, optimise AI and ML model performance and produce actionable insights- How to collect and govern quality data so that accuracy, reliability and fairness are reflected in AI and ML model analytics
- What are the best practices for identifying bias in input data, and training AI and ML models to mitigate biased outputs?
- How can you implement consistent and effective model validation techniques to combat challenges that lead to garbage out?
Following the case study, you will join a small group of your peers to address a question put to you by the speakers
TRACK B- ADVANCING ANALYTICS TO ACCOMPLISH ML AND AI MODELLING
2:50 pm - 3:10 pm Client Case Study/ Fireside Chat: Fostering trust in AI: How to build, implement and sustain responsible AI governance frameworks to help build customer trust and scale AI with confidence- Develop specific governance AI governance frameworks that promote ethics, transparency and accountability to build enterprise-wide trust
- Create definitive criteria for data collection, model training, and decision-making that are understood and accepted by key stakeholders
- Emphasise the importance of diverse perspectives in developing AI algorithms to mitigate bias, promote inclusivity, and bolster stakeholder trust
TRACK B- ADVANCING ANALYTICS TO ACCOMPLISH ML AND AI MODELLING
3:10 pm - 4:00 pm Panel Interactive: Implementing agile methodologies: How can you integrate dynamic workflows across your data departments to efficiently deliver AI and ML models that transform competencies with increased automation? Vineet Basotia - Global Head, Head Strategic Insights & Analytics Health Systems, Philips Paola Scarabotto - Head of Data Analysis & Customer Intelligence, Groupama Assicurazioni S.p.A- How effective is the move from traditional workflows to modern structures such as scrum, kanban or mesh to enhance the speed and efficiency of AI model development?
- How can effective communication also be facilitated among various technologies for the development and deployment of advanced automation technologies?
- What are the most effective practices for avoiding bottlenecks and impediments that arise when increasing automation in AI and ML?
INTERACTIVE WORKSHOPS
2:10 pm - 2:50 pm Master the application of visualisation platforms so that data can be interpreted and used by all levels across the enterpriseINTERACTIVE WORKSHOPS
3:10 pm - 3:50 pm Invite-only CDAO Boardroom for 15 Chief Data & Analytics Officers An opportunity for CDAOs to join 15 of your peers whilst you discuss your most pressing topics over wine and cheese Bhuvan Panwar - Chief Analytics & Digital Officer, Asahi Vanessa Galvany - Chief Data Officer, Le Creuset Karl O'Hanlon - Chief Data & Analytics Officer, Veolia Dan Kellett - Chief Data Officer, Capital One Pete Williams - Chief Data Officer, Penguin Random House Perry Phillip - Chief Data Officer, Entain
4:00 pm - 4:30 pm
Afternoon Networking Break
Relax with your peers and the innovative vendors in the networking lounge.
DEBATING THE ETHICS OF AI
4:30 pm - 5:00 pm
Oxford Style Debate: TRUE or FALSE: Unexplainable AI systems should not be allowed to influence critical business decisio
Carol Wilson -
Head of Data Ethics, Data Privacy and ILM,
Santander
Yaniv Naor -
Head of Global Master Data Management,
Sandoz
TRUE: Carol Wilson, Head of Data Ethics, Data Privacy & ILM – Santander
FALSE: Yaniv Naor, Director Head of Global Master Data Management – Sandoz
MODERATOR: Susan Walsh, Founder & Managing Director – The Classification Guru
DATA PIONEERS BEER & BUBBLES ROUNDTABLES
5:00 pm - 5:45 pm
Roundtable 1 - Modern data landscapes Mastering data management and governance in a modern world
Sarah Higham -
Group Data Governance Manager,
Pets at Home
5:00 pm - 5:45 pm
Roundtable 2 - Security, privacy, and fraud prevention: Safeguard data assets in the time of AI
Charles Phiri -
Executive Director AI / ML Innovation,
JP Morgan
5:00 pm - 5:45 pm
Roundtable 3 - Nurturing a data-literate culture: Building a cohesive and empowered decision-making environment
Kamalika Ghosh -
Data Intelligence Director,
Philips
5:00 pm - 5:45 pm
Roundtable 4 - Data-driven people analytics: Using data to drive your people agenda and maximise performance
Lei Pan -
Group Head of People Insight & Analytics,
Shell
5:00 pm - 5:45 pm
Roundtable 5 - Beyond Prediction: Examine the best techniques for reinforcement when building machine learning models
Calvin Seward -
Senior Data Scientist,
Bolt
5:00 pm - 5:45 pm
Roundtable 6 - Combining man and machine: Integrating behavioural science techniques with AI models
5:00 pm - 5:45 pm
Roundtable 7 - Take the lead on ESG Data: Ensure that sustainability related goals are met by data analytics
5:45 pm - 5:50 pm
Chairperson's Closing Remarks
5:50 pm - 5:50 pm
Close of Day One & Networking Drinks Reception
This is your opportunity to address your biggest challenges: join a discussion with 5 or 6 of your peers and collaboratively come up with solutions: