DATA PIONEERS SUMMIT - DAY TWO WEDNESDAY 2ND OCTOBER 2024
8:15 am - 8:50 am
Day Two Registration and Coffee
8:50 am - 9:00 am
Chairperson's Opening Remarks
DRIVING ENTERPRISE-WIDE DATA TRANSFORMATION
9:00 am - 9:20 am
CDO Opening Keynote: How we have weaved data and analytics into our organisational fabric to promote data-driven decision-making and drive greater business impact
Karl O'Hanlon -
Chief Data & Analytics Officer,
Veolia
- Explore the organisational strategies that we employed to cultivate a data-driven culture and the ways in which leadership, training and communication were utilised to instil a mindset where data and analytics became integral to decision-making at all levels
- Learn how we harnessed the power of data and analytics to fuel innovation and create a dynamic environment where insights drive creative solutions for sustained business growth
- Delve into our approaches to feedback loops that increase productivity and employee satisfaction whilst adapting to ever-changing and advancing market dynamics
9:20 am - 9:40 am
CAO Keynote: How we have successfully undergone a full digital transformation and put data at the centre of the business to become a truly data-driven enterprise
Bhuvan Panwar -
Chief Analytics & Digital Officer,
Asahi
TURNING SCIENCE FICTION INTO REAL WORLD APPLICATION
9:40 am - 10:10 am
Quick-Fire Case Studies: How 3 leading enterprises are integrating AI into their data strategy and wider business operations to streamline processes, enhance productivity and drive innovation
Djamel Mostefa -
Head of Data & Artificial Intelligence,
Adeo
Dr Brent Clickard -
Head of Data Science Global Head of Growth Analytics,
HSBC
- Explore the innovative approaches that we took to identify, amplify and leverage AI’s unique capabilities in alignment with the fundamental business strategies that we sought it to assist with
- Uncover the failures and challenges faced, solutions devised, and key takeaways that shaped the successful integration of AI into our data strategy and wider business operations
- Consider how these strategies will lead to future innovations, and the areas in which these will further drive business growth and value
10:10 am - 10:40 am
Panel Discussion Interactive: Navigating the ethical landscape of AI: How can enterprises operationalise ethical frameworks within their AI development pipelines to ensure responsible design and deployment of algorithms?
Albert Yumol -
Senior Data Scientist,
ING
Srinivas Pradeep -
Data Science / AI Leader,
Glencore
Carol Wilson -
Head of Data Ethics, Data Privacy and ILM,
Santander
- How can organisations implement robust monitoring mechanisms and incorporate a level of explainability to facilitate comprehensive governance of AI systems?
- What methodologies and algorithms can be leveraged to mitigate bias and uphold fairness in AI models and decision-making processes?
- How can standardised metrics be developed to effectively measure the ethical performance of AI systems, ensuring alignment with societal values and norms?
Following the panel discussion, you will join a small group of your peers to address a question put to you by the speakers. A great opportunity to collaborate and share ideas
MASTERING DATA MESH
10:40 am - 11:00 am
Industry Interview: How can you implement a decentralised framework to empower data users to improve data access and quality and achieve organisational agility at scale?
- How can organisations integrate the principles of data mesh into their strategy to create a decentralised framework that empowers users, enhances data access, improves data quality and fosters organisational agility at scale?
- In the context of a decentralised data framework, how can organisations strike a balance between promoting individual data empowerment whilst ensuring centralised oversight is maintained?
- What cultural shifts and training initiatives
BENCHMARKING YOUR ORGANISATIONAL CHART
11:00 am - 11:20 am
Sketch and Connect – Mapping Team Dynamics
Take the opportunity to draw out the current organisational framework of your data team, then explore and compare the structures of peers around the table!
11:20 am - 12:00 pm
Morning Networking break
TRACK A - MASTERING DATA STRATEGY AND INFRASTRUCTURE
12:00 pm - 12:30 pm Pharma Case Study Interactive: Real-Time Data Automation: How to create secure and automated end-to-end data transfers that enhance data quality, efficiency, agility and regulatory compliance Dr. Christian Muller - Head of Data Generation, Bayer- How we have automated data transfer between electronic health records (EHRs) at the point of care, and electronic data capture (EDC) systems to decrease error, costs and time
- How our model for automated data transfer addresses feasibility, connectivity, and system compatibility of currently health care and clinical research systems that are GDPR compliant
- How we have overcome technological barriers related to data format and the technological environment to automate the digital transfer from EHRs to EDC systems, enabling a more accurate and efficient data capture
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
12:30 pm - 12:50 pm Client Case Study/ Fireside Chat: Moving to a hybrid cloud strategy: How can a hybrid approach to data storage help you simplify infrastructure managem- How can enterprises strategically allocate workloads between on-prem and cloud-based infrastructures to optimise efficiency and risk mitigation?
- How can a hybrid approach enable flexibility within storage resources based on fluctuating demands to manage costs and meet evolving business requirements?
- How does combining the control of on-premise solutions with the robust security features of cloud enable the most resilient data storage infrastructure?
TRACK A - MASTERING DATA STRATEGY AND INFRASTRUCTURE
12:50 pm - 1:20 pm Retail Case Study Interactive: Quantifying the benefits and costs of digital transformation in the retail industry Richard Lim - CEO, Retail Economics- Explore the pillars of digital transformation built around data, culture, technology and innovation
- Through a comprehensive European-wide study, Retail Economics quantify the impact of digital transformation on commercial metrics such as revenue, profitability and market share
- Are we reaching a point of inflection – the explosion of Gen AI and other technologies is levelling the playing field, providing an opportunity for agile brands to close the gap quickly; will the digital leaders of today become the digital followers of tomorrow?
Retail Case Study Interactive: Quantifying the benefits and costs of digital transformation in the retail industry
- Explore the pillars of digital transformation built around data, culture, technology and innovation
- Through a comprehensive European-wide study, Retail Economics quantify the impact of digital transformation on commercial metrics such as revenue, profitability and market share
- Are we reaching a point of inflection – the explosion of Gen AI and other technologies is levelling the playing field, providing an opportunity for agile brands to close the gap quickly; will the digital leaders of today become the digital followers of tomorrow?
Following the panel, 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
12:00 pm - 12:30 pm Presentation Interactive: Understanding the EU’s AI Act: How to prepare for the European-wide AI regulation to get the most out of AI technological investments whilst remaining compliant from 2025 Kai Zenner - Head of Office & Digital Policy Adviser, European Parliament- Showcase the collaborative efforts, advocacy initiatives and industry partnerships aimed at influencing policy direction and ensuring that the regulatory framework accommodates diverse business needs
- Get ahead with proactive measures and strategic planning now to ensure that integration of AI technologies fit within the future regulatory framework
- Explore strategies for fostering a culture of compliance awareness and knowledge-sharing to ensure that businesses are well-prepared for the regulatory landscape as of 2025
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
12:30 pm - 12:50 pm Client Case Study/ Fireside Chat: Getting ahead of AI regulations: How can you stay up to date with stricter AI policies and regulations as they start to be introduced?- How to develop adaptable AI compliance frameworks that seamlessly incorporate changes in regulations, ensuring ongoing alignment without disrupting operations
- How can collaboration be encouraged so that insights and best practices can be shared to shape adaptable AI governance frameworks
- How can changes be preconceived, and what best practices allow for enterprises to get ahead of them before they are introduced?
TRACK B - ADVANCING ANALYTICS TO ACCOMPLISH ML AND AI MODELLING
12:50 pm - 1:20 pm Panel Interactive: Breaking Boundaries: Why is diversity in your data teams essential, and how does it help shape the future of ethical and responsible AI? Payal Jain - Chair, Women in Data Janthana Kaenprakhamroy - CEO, Tapoly- Why is it necessary to incorporate a diverse range of perspectives in your data strategy, and how does it impact the success of projects?
- How does diversity not only influence a reputable data and business culture, but also the ethical implementation of AI?
- What strategies can organisations implement for the promotion of inclusivity to maximise the potential of their data teams and AI initiatives?
INTERACTIVE WORKSHOPS
11:00 am - 11:40 am Learn how to build effective predictive models by integrating the most effective advanced analytics platforms and machine learning algorithmsINTERACTIVE WORKSHOPS
12:00 pm - 12:40 pm How to unleash cutting-edge automation and AI tools to transform your data processes and improve decision-making whilst maintaining fairness, transparency and privacy
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.
TRACK A: MASTERING DATA STRATEGY AND INFRASTRUCTURE
2:20 pm - 3:00 pm CDO Case Study Interactive: Beyond the data strategy: How can you translate your data strategy into meaningful insights that help drive decisions with measurable impact? Perry Phillip - Chief Data Officer, Entain- How can practical steps and tools translate an established data strategy into actionable initiatives?
- How can organisations navigate the challenges around the integration of new tools to ensure optimal functionality and user adoption in alignment with strategy?
- What metrics can be used for ongoing performance measurement as data strategies are implemented and evolved?
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
3:00 pm - 3:20 pm Client Case Study/ Fireside Chat: How can the combination of data analytics and insights be used to drive a truly data-driven enterprise?- How can data analytics platforms seamlessly integrate into diverse enterprise systems to create a CoE for data-driven decision-making?
- What specific analytics capabilities empower the CoE to extract meaningful insights and drive actionable intelligence throughout the enterprise?
- How can diverse team members be equipped with tools to leverage effective analytics to foster a culture of continuous learning and knowledge sharing within the CoE?
TRACK A: MASTERING DATA STRATEGY AND INFRASTRUCTURE
3:20 pm - 4:00 pm Panel Interactive: Rearchitecting, rebuilding or replacing: What have different industries found to be the best approach whilst modernising from legacy systems to boost performance?- What strategies have been employed to address the unique challenges associated with migrating large volumes of data from legacy systems?
- What metrics or key performance indicators have been used for successful decision-making on whether the rearchitect, rebuild or completely replace legacy systems?
- How has the migration from legacy systems failed in specific enterprise examples, and what can industries learn from this?
TRACK B: ADVANCING ANALYTICS TO ACCOMPLISH ML AND AI MODELLING
2:20 pm - 3:00 pm Case Study Interactive: Driving responsible AI: Demonstrate effective AI governance practices to foster responsible AI and maintain stakeholder trust Uthman Ali - AI Ethics Adviser & Senior Product Analyst, BP- How to develop and implement a comprehensive governance framework that addresses stakeholder anxieties around the use of AI in decision-making processes
- How to establish transparent communication channels with external customers that explain AI decision-making and address their concerns
- What are the best ways to implement training programs and awareness campaigns to cultivate a culture of both trust and responsible AI use amongst data teams
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
3:00 pm - 3:20 pm Client Case Study/ Fireside Chat: How can data security be maintained, and fraud be prevented, as AI becomes more widely introduced across the business?- How can enterprises enhance data security through more advanced encryption techniques as AI integration proliferates?
- What innovative tools can be employed to detect fraudulent mechanisms within AI systems, safeguarding against evolving cyber and malicious threats?
- How can AI itself be leveraged to analyse patterns, detect anomalies and address fraudulent or suspicious activity before escalating to a security threat?
TRACK B: ADVANCING ANALYTICS TO ACCOMPLISH ML AND AI MODELLING
3:20 pm - 4:00 pm Panel Interactive: Integrating Gen AI: What are the best use cases for the incorporation of Gen AI to enhance processes and efficiency, and drive business value? Richard Lim - CEO, Retail Economics Vanessa Galvany - Chief Data Officer, Le Creuset Mathias Frey - Head of Data Platform Architecture, Erste Group Bank Paola Scarabotto - Head of Data Analysis & Customer Intelligence, Groupama Assicurazioni S.p.A- How can top-down analysis be conducted to establish digital transformation and assess the pockets of value for decision-making on the best integration of Gen AI?
- What are both the top challenges and success factors across different industries, such as those that are more strictly regulated, when incorporating Gen AI tools across businesses?
- Who should be the key decision-makers when it comes to AI integration to ensure that CDAO strategy aligns with engineer and science application
INTERACTIVE WORKSHOPS
1:50 pm - 2:30 pm How to achieve the optimum cloud storage architecture: A step-by-step guide for building the ultimate platformFINDING THE NEXT BIG THING!
4:40 pm - 5:10 pm
Dragons’ Den: Hear from 4 innovative start-ups on the latest and greatest data technology initiatives that can help you address your biggest data challenges and opportunities
oin our dragons as they assess the latest data innovations from start-up companies pitching their tech in a bid to win first place. Listen up as the dragons review the technology’s benefits to your business, predict their future success and deliver their verdicts.
he ultimate decision is in your hands though, as the audience get to vote for their favourite
Will you find the next big thing?
WRAP UP ROUNDTABLES
5:10 pm - 5:40 pm
Debrief Roundtables: Share your key takeaways from the past two days and work together to create an action plan to implement in your own enterprise
In this session, you’ll join 8 to 10 of your peers to work through the learnings from Data Pioneers Summit 2024 for 30 minutes and then share 3 top takeaways with the wider delegation to help summarise action points to implement in your own organisation.