Leveraging data to transform underwriting performance in the London market
Using modern data platforms to enhance decision-making, speed and portfolio management
Bob Bob Ricard, Leadenhall
Free to attend | Only 15 places
Overview
London market underwriting teams are under increasing pressure to improve profitability, respond faster to changing market conditions and deliver greater value from the growing volumes of data available to them. However, many organisations continue to face challenges caused by fragmented data environments, inconsistent standards, spreadsheet-driven workflows and legacy platforms that limit visibility, agility and decision-making.
At the same time, expectations surrounding AI, portfolio optimisation and augmented underwriting are accelerating rapidly. As firms look to move beyond isolated pilots and tactical use cases, many are recognising that improving underwriting performance depends not simply on deploying new technologies, but on establishing the right data foundations, connectivity and operating model to support them.
Attend to discuss how organisations are modernising their data environments to improve underwriting insight, streamline workflows and enable faster, more informed decision-making across the distribution and placement lifecycle.
You’ll explore the practical challenges surrounding data quality, interoperability and platform modernisation, alongside the cultural and organisational changes required to embed more data-driven ways of working.
Topics for discussion include:
- Improving underwriting performance through better access to connected, trusted and actionable data
- Reducing operational friction by modernising fragmented workflows and legacy data environments
- Enabling portfolio-level insight and more informed decision-making through modern data platforms
- Supporting augmented underwriting and AI-driven workflows with stronger data foundations and governance
- Enhancing speed to market, broker connectivity and operational agility across the placement lifecycle
- Balancing short-term delivery pressures with longer-term operating model and data transformation priorities
Speakers
- Takes place in the private dining rooms at Bob Bob Ricard, Leadenhall
- Only 15 industry practitioner places are available
- Hear the case study then participate in the Q&A
AGENDA
08:00 Registration, tea and coffee
08:15 Breakfast of your choice in the private dinning room at Bob Bob Ricard
08:40 Introduction by the chair
08:50 Presentations
Overcoming data fragmentation, operational complexity and legacy constraints to enable faster, more informed underwriting decisions
-
Breaking down data silos to give underwriters faster access to trusted, actionable insight
-
Reducing operational friction caused by disconnected systems, manual processes and spreadsheet-driven workflows
-
Moving from data collection to portfolio intelligence to improve risk selection, pricing and performance management
-
Creating the data foundations needed to support augmented underwriting and AI-driven decision-making at scale
-
Balancing short-term business priorities with the longer-term modernisation of data platforms, operating models and underwriting processes
09.05 Roundtable discussion & feedback
10:00 Close
Sponsored by
Advancing Analytics is a London-based Data & AI consultancy. We help insurers unlock the value of their data to improve pricing, claims and risk management. We design and deliver modern data for our clients, trusted as a top-tier partner by Databricks, Microsoft and AWS.
Our team includes 6 Microsoft MVPs, 11 Databricks Champions and 2 Databricks MVPs, bringing unmatched expertise and a proven track record. From accelerating time to insight to moving AI into production safely, we deliver measurable impact quickly and reliably.
If you use Databricks or plan to, talk to us at Data Jam about how we can help you innovate with confidence and speed.
For more information click here