21 - 22 November, 2024 *With Tech innovation Day on 20 November
Novotel London West, London, United Kingdom
· Review of my data leadership journey to date: lessons learned and key observations
· New school vs old school: how will banks continue to evolve and what will future digital banking look like?
· How can you re-organise to become more progressive and gain greater buy in?
· How will data continue to become more of a technical discipline?
· What makes preparing data for AI and ML different in the financial services sector today?
· How are other sectors deploying AI and ML with success and what can you learn from these experiences?
· How to convince leaders of business units using your data to more clearly see the value of investing in more AI and ML?
· Which providers of AI and ML tools and data services are making the best contribution to the evolution of intelligence automation?
ESG Sustainability Reporting is no longer a voluntary exercise in most countries. Sustainable Finance Disclosure Regulation (SFDR) and the EU Taxonomy went live last year for the European Union impacting 11,000 companies, and the Task Force on Climate Financial Disclosures (TCFD) went live in the UK in April this year, affecting more than 1,300 companies.
Join Levent Ergin, Head of Data Governance, Privacy & ESG for UK &Ireland to discuss insights gained from ESG customer projects and time to value delivered, including:
• Global ESG sustainability reporting developments
• Defining your own ESG reporting journey
• What the ESG reporting lifecycle looks like
• Using frameworks such as DCAM and CDMC to identify and prioritize data management capabilities to meet ESG Reporting requirements
• How you can harness the power of AI-powered data management technology to get ready for ESG reporting
If you are interested in overcoming your ESG data challenges, you won’t want to miss this interactive round table gathering.
Building a data-driven culture across the enterprise no longer has to add layers of complexity that impact business agility. As the growth and distribution of data continues, businesses must provide employees easy access to the data needed to make the right decisions. In this session we will explore the distribution of data and analytics, wherever the data is sourced, how modern data architectures are helping drive optimised processes, supported by consistent security and compliance across the Hybrid Data Cloud. We believe where data flows, ideas follow.
· What impact have AI and ML had on data governance?
· How can you adapt your data governance strategy for modern applications of AI and ML?
· Where can governance and automation deliver benefits in terms of speed and quality of decision making?
· How can you continuously adapt your data governance strategy as more processes are automated?
· What are the foundational challenges to change and how can they be overcome?
· Changing the data culture to adopt a more modern approach
· Enabling more integrated business teams focusing on tech and data
· Aligning the data strategy with the business goals more effectively
· Lessons learnt from the journey so far and vision ahead
· Why is protecting your digital identify more important than ever?
· What is the LEI, who issues it and who is currently using it?
· Is adopting the LEI different for Banks, Asset Managers and Insurers? If so how?
· 5 ways the LEI is creating real-world improvements for data-driven firms in F/S today
· What can you personally do to help your business understand the benefits of the LEI and achieve more transparency?