Data Architecture London 2024 schedule

Panel Discussion: Evolving Technologies, Endless Possibilities: Aligning Tools and Strategies for Future-Ready Data Platform
•    Integration challenges from emerging tech impacting data flow, emphasising aligned security and governance strategies for data integrity and compliance.
•    Design strategies and scalability considerations for future readiness.
•    Evaluation of current systems, creating integration plans, and setting governance protocols for seamless tool integration.
•    Importance of collaboration, continuous monitoring of tool performance, and training to relevant teams to ensure alignment with business goals. 
Leo Dong, Data Scientist, SAINSBURY’S
Julio Costa, Data Scientist, FULHAM FOOTBALL CLUB
Aman Birring, Data Scientist, SUPERDRUG
Kassim Hussein, Head of Data Analytics, CLEVLAND CLINIC LONDON

•    Designing coherent data architecture in order to streamline data management processes 
•    Implementing systems for improved data quality in order to have clean, accurate and consistent data, and how this is essential for accurate for AI Models
•    Implementing lifecycle management strategies to optimize storage costs
•    Enhancing real time data processing to enable greater insights and decision making
•    Reducing and rationalising 3rd party data and software licensing costs
•    Gaining buy in from the wider business 

Jeremy Posner, Lead Data Architect, FIDELITY INVESTMENTS (former)

•    Explore how AI is revolutionizing data quality management and anomaly detection in modern data architectures.
•    Discuss the limitations of traditional methods and the benefits of AI for improved accuracy efficiency and scalability.
•    Highlight  best practices and future trends in leveraging AI for enhanced data consistency.
Alexandre Moraes de Carvalho, Cloud DevOps Engineer, HSBC

•    Achieving clear and persuasive communication to effectively convey complex architectural visions to diverse stakeholders.
•    Aligning architectural visions with overarching business goals, emphasising the transformative impact of data architecture.
•    Engaging and influencing stakeholders across all levels, gaining support and buy-in for architectural initiatives.
•    Developing leadership abilities to foresee risks, adapt strategies, and propose scalable solutions within architectural visions, ensuring adaptability and resilience.
Chris Darriet-Jones, Chief Data Architect, POST OFFICE UK
Rajesh Dorai, Head of Enterprise Architecture, WESTMINSTER CITY COUNCIL Farrukh Hasan, Lead Data Architect, BRAMBLES 

•    How to spend less time on data management and more on value-creation activities
•    Best-practice architectures for mobilising your data efficiently and cost -effectively
•    Ways to accelerate data maturity for your organisation
Aman Aneja, Director of Analytics, FARVIEW EQUITY PARTNERS
Farrukh Hasan, Lead Data Architect, BRAMBLES 
Jeremy Posner, Lead Data Architect, FIDELITY INVESTMENTS (former)
April Frimpong, Data Architect, OFFICE FOR NATIONAL STATISTICS (former) 

•    Exploring how to begin your data journey, shifting the mindset to empower business units to own and leverage data effectively.
•    Establishing a unified vision for the data transformation process, ensuring it resonates across all functions and teams within the organisation
•    Analysing the current state of the data lifecycle, emphasising its alignment with modern data practices. 
•    Outlining the future vision for data management and adapting to new technological landscape. 
•    How to align data architecture with business strategy – streaming 
Tiffany Qiao, Data Engineer – AI & Innovation, PANDORA
Mujahid Rashid, Senior Data Engineer, PANDORA

In today’s environment, it can be difficult for businesses to keep up with customer expectations. Organisations need to innovate to deliver the best products, while also modernising legacy applications and systems. Every journey to a more modern data architecture is unique and driven by specific business initiatives, but without the proper planning and execution, it can become an expensive, time-consuming project. In this presentation, we’ll discuss one customer’s challenges and solution for delivering resilient, real-time replication from traditional on-premise systems to the latest cloud analytics platform.
Leo Dong, Data Scientist, SAINSBURY’S

•    Leveraging a data governance perspective to unify data architecture, risk, and compliance teams.
•    Exploring essential considerations for crafting a robust data architecture that aligns with governance objectives.
•    Discovering strategies and challenges encountered while bridging the gap between data architecture and governance for seamless collaboration.
Tumi Alegbeleye, Enterprise Architect, BRITISH BUSINESS BANK
Phillipa Nazari, Director, Data & Information Governance, BRITISH BUSINESS BANK

•    How to make considered data architecture work in the fast paced world of agile development
•    Mapping the data environment: getting to grips with the data ecosystem to maximise potential opportunities
•    Facing outwards: putting consumption data to use to drive efficient and focused development
Jo Kent, Data Architect, SCIENCE MUSEUM GROUP

•    Recognising the transformative power of treating data as a strategic asset, reshaping mindsets and sparking innovation.
•    Embracing Agile Development principles for iterative refinement in crafting resilient and adaptable data architectures.
•    Revolutionising data management with cutting-edge AI and ML technologies, unlocking unprecedented value through intelligent architectural design.
•    Safeguarding data integrity and privacy through AI-driven governance strategies, ensuring robust security measures are integrated from the ground up.
April Frimpong, Data Architect, OFFICE FOR NATIONAL STATISTICS (former) 
Chris Darriet-Jones, Chief Data Architect, POST OFFICE UK
Rajib Chakravorty, Senior Data Modeler, BEAZLEY