Enabling you to select the right use cases for experimentation, implement supporting technology and scale projects at speed
Ever since the financial crisis, FS firms have focused on risk mitigation, cost reduction and efficiency; whilst at the same time remaining competitive and continously optimising the customer experience. In order to achieve these outcomes, they have been exploring various technologies, with Advanced Analytics & Artificial Intelligence (AI) at the centre.
Many banking, financial services and insurance organisations are already realising the benefits of advanced analytics, enhancing overall business performance by applying technology that optimises decisions and processes.
The benefits are clear, but with limited availability of good quality and quantity of data, insufficient understanding of AI risks, cultural challenges, resistance to change and a changing regulatory landscape - how will you ensure your projects are successful?
That's why we're bringing together Europe's leading data professionals and AI specialists from across the financial services sector to help you identify the projects with the biggest ROI and share their strategies for building the business case, securing buy-in, implementing data and AI strategy, defining clear metrics to measure performance and scaling projects at speed.
Hear from senior data professionals from leading companies
Senior Manager – Decisioning Analytics & AI
FSO Transformation Plan Deputy Program Director
Senior Manager, Regulatory Technology
Bank of England
Head of Data & Systems
Head of Risk and Controls, Head of AI, SME Banking
Professor of Analytics
University of Dundee
Principal Data Scientist
Direct Line Group
Head of Emerging Technologies
Legal & General
Head of Business Audit and Analytics
Head of Digital Data
Co-Head of the Research Innovation Lab/Manager Big Data Analytics
Director, Data Analytics
By bringing together industry thought leaders from across Europe, attending Advanced Analytics and AI for Financial Services will teach you how to leverage your data and implement AI, Analytics and IA technology to drive business innovation, improve efficiency and meet customer expectations.
Embedding culture and overcoming resistance to change
Increasing revenue, improving efficiency, reducing costs and maximising business performance
Securing buy-in, building the business case and proving ROI
Identifying and selecting the right use cases for experimentation
Scaling successful proofs of concept at speed
Integrating new tools, systems, platforms and applications within IT legacy systems
Big Data Analytics for Financial Services: Survey Report 2018
We have conducted an exclusive industry survey discussing the main challenges faced when developing data and analytics strategies
Are Financial Services Coping with Big Data?
Possibly as a result of increasingly competitive customer experience efforts in other markets, customers now expect a more personalised service
Customer Analytics with Barclays
At last year's conference, Payal Jain & Di Black from Barclays walked our audience through the process of using customer analytics for an array of benefits,
Market Report: Big Data & Analytics for Financial Services - Trends, Challenges and Priorities
This report, produced by Data Analytics IQ, surveyed over 100 professionals in the financial services industry in order to gauge the latest trends and activity when it comes to implementing big data programmes.
Barclays' Secrets to Create a Risk Aware Culture
Vinita Ramtri, Head of Conduct Risk at Barclays Wealth and Investment Management, reveals how the Bank is developing and embedding its conduct risk aware culture.