CDO BFSI Agenda Day 1
Join Duncan Cooper, Chief Data Officer at Northern Trust, and Neil McIvor, Head of Data at esynergy, as they explore the ground-breaking data modernization project between Northern Trust and esynergy. They will discuss innovative approaches to managing and leveraging data, focusing on the balance between "meritocratic" and "democratizing" data. With technology as a foundation, they will emphasize the importance of thoughtful implementation, business adoption, strategic oversight, and balancing broad access with governance to drive progress across banking and insurance. Gain practical insights to enhance your team's data utilization and decision-making, and learn how to build effective data strategies for your organization.
In the dynamic world of Banking, Financial Services, and Insurance (BFSI), Generative AI (GenAI) presents unparalleled opportunities for enhancing automation and efficiency. However, the key challenge is to balance these technological advancements with robust oversight to mitigate potential risks. This session will delve into how BFSI organizations can seamlessly integrate GenAI while preserving the essential role of human judgment. We will explore strategies to effectively manage the risks associated with GenAI-driven automation.
Due to its highly regulated nature, the financial sector tends to use a defence-oriented approach to data strategy but CDOs in the space are often focused on creating value through offense-oriented initiatives. Pragmatic innovation that enables them to understand and predict performance and behaviour and very quickly react to changes in the market has become the golden standard of using data to add value, create competitive advantage and guarantee budget signoff.
• Find out about approaches data leaders have taken to prove ROI of their investments to gain stakeholder advocacy
• Hear how industry peers are approaching the decision-making procession to inform your own strategy
• Learn how to encompass unquantifiable benefits in storytelling when pitching to stakeholders
• Discover the best way to advocate for long term investment in short term budgeting cycles
Ready to take your customer experience to new heights? Discover how to leverage AI-driven CX strategies to unlock transformative value and drive fast ROI with our cutting-edge Customer Data Platform.
In this power-packed session, we will reveal the secrets to harnessing the full potential of AI and machine learning to deliver personalised, omnichannel experiences that keep your customers engaged and loyal.
• Hear how to unify customer data from multiple sources for a 360-degree view
• Learn advanced segmentation techniques powered by predictive analytics
• Discover how to automate customer journeys with AI-driven decisioning
• See real-world examples of brands achieving up to 35% increases in customer lifetime value
Today organizations are committed to invest in AI strategies and programs to unlock the potential of AI for driving business outcomes. To enable AI to drive business outcomes, having the right data ecosystem is the cornerstone. Data, which is clean, accurate, structured and resides in a centralized repository/DW/Cloud is the foundational stone for any Analytics or AI program. Most organisations have a long way to go in just getting their data in order, before being able to leverage the true power of Analytics and AI.
The world is becoming increasingly digital, with data and AI embedded more and more in our customers’ lives. Traditional methods are no longer enough, as established businesses are disrupted. Insurance is no different, and AI presents an opportunity for insurers to help customers in ways never possible before, by anticipating disasters before they occur and working to help mitigate their damage. I discuss how we’re getting ready for this future at Zurich, the challenges along the way and the expected benefits.
Contemporary data science discourse is highly focused on big data, machine learning and AI. These tools offer amazing opportunities but come with costs in time, skills, and infrastructure. One should remember that no matter how sophisticated the data analysis is, the result is always a practical “small data” to be consumed by a human. Whether a credit decision or projected revenue growth, many tasks can be solved with simple yet powerful solutions.
• Delineate big and small data beyond volumes
• Explore the effects of consciously placing “small data” in the front of the data journey
• Learn how “small data” boosts your storytelling
Lightning Debates encourage quick thinking, concise expression, and active engagement. The debates are intellectual sprints, challenging you to articulate viewpoints on controversial issues effectively within tight time constraints. Vote with your feet, choose a side and defend your point of view.
With the emergence of AI, building a skilled data team has never been more essential for harnessing the value and power of data-driven decision-making. Explore the critical skillsets required to assemble a high-performing data team that can navigate the complexities of modern BFSI. A robust data team is nonnegotiable, but what do you find to be the skills that are harder to recruit for, is your team ready for the new “AI driven Data Revolution”? Are more soft skills and a collaborative mindset needed or is it all about a new technical skillset?
• Discuss what you find to be the most in-demand and harder to recruit for technical skills for data teams in the BFSI sector today
• Debate the success rate of different strategies employed to upskill existing teams to meet new demands
• Assess the sector’s preparedness for integrating AI and machine learning technologies and what the data team of tomorrow needs to look like
Organisations must respond to business practices and environments that are always changing. More and more companies are choosing to modernise their data infrastructure to decrease costs, increase flexibility, and better the efficiency and extensibility of their data stack. Join this session to learn more about pipeline modernization, particularly for key sources like Oracle and SAP and while utilising Fivetran's new Hybrid deployment option. We will cover critical aspects such as ensuring security and compliance, managing costs, and addressing the complexity of DIY pipelines. Discover how Fivetran's data movement platform can support hybrid environments and unlock the full potential of your data, driving real-time decision-making and innovation.
Do good and talk about it. Let’s discuss effective ways to measure and communicate business value, the impact of cost of delay, and the benefits of adhering to regulatory requirements
In the rapidly evolving landscape of digital transformation, the integration of AI into cloud management systems is paramount for achieving operational resilience and efficiency. This roundtable session will delve into the latest organic cloud management strategies that enhance readiness for AI, drawing on insights from Informatica’s pioneering work in this field.
The discussion will highlight the critical role of data quality in AI readiness, as underscored by Informatica’s global survey of data leaders. Attendees will gain a comprehensive understanding of the holistic data management capabilities necessary to overcome challenges and fully harness the potential of generative AI.
Join us to explore how peers are implementing innovative strategies that can fortify an organization’s cloud infrastructure, ensuring it is robust, adaptable, and primed for the future of AI-driven business transformation.