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Template | Services | 2 column - section 2
Mauris id efficitur lectus, ac fringilla diam. Maecenas est nisi, porta non pellentesque non, mollis id elit. Sed pellentesque vel libero quis mollis. Integer iaculis id orci dapibus aliquam. Vivamus sed pulvinar dui, et egestas urna. Aliquam dictum risus ac tellus consequat sagittis. Maecenas tristique ut mauris eu mollis.
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Tiles
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Template | Solutions | 4 Grid Benefits
Template | Solutions | Element 1
Technical.
Agile and adaptable standardised DevOps processes.
Swift problem identification and resolution.
Accelerated product life cycles with continuous delivery.
Unified Azure DevOps and GitHub interfaces promoting widespread DevOps adoption.
False
Template | Solutions | Element 2
Project.
Streamlined project management and planning.
Rapid project onboarding to the DevOps pipeline.
Comprehensive visibility and control of the software supply chain and operation.
False
Template | Solutions | Element 3
Cultural.
Motivated, engaged, and productive teams.
Enhanced professional development and cross-department knowledge exchange.
Seamless access to Azure DevOps and GitHub innovations and updates.
False
Template | Solutions | Element 4
Business.
Quicker time-to-market for products and features.
Stable operating environments resilient to failure.
Increased time for innovation and customer-focused development.
False
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Template | Services | Diagram
Manage risk, enhance experience, build trust.
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Case Study
Vertical Campaign - Insurance - Case Study
Innovation in Reinsurance
Delivering platform transformation to support fully automated underwriting.
Like most businesses in the reinsurance sector, our customer had a decentralised legacy landscape where functional overlap featured heavily. Different applications - each covering the net/ gross pricing workflow - had been created for specialised Treaty and Facultative areas. This created inefficiencies for underwriters as they moved between multiple tools and interfaces.
Find out how we helped create a unified, streamlined underwriting platform geared for scale, consolidating legacy applications into a fully automated process.
Logo- Data - Case Study - InsuranceCampaignCaseStudy
Reimagine key applications and processes to drive efficiency and bring new products to market quickly.
Consolidate legacy applications and processes into integrated, extensible workflows. Build commonality in a modern API-rich architecture that evolves with your business.
Move your core workloads to the cloud to leverage the advantages of a modern technology stack and access the scale and operational maturity of cloud platforms like Azure.
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Value Proposition Inverted
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Template | Services | Value Prop #2
Template | Services | ValueProp2 | Prop2
Improve and industrialise risk modelling.
Run, manage and iterate models faster in robust, centralised environments for better decision-making.
Industrialise model development with automated data pipelines and model development workbenches. Rely on cloud scale to test, calibrate and compare models with large data sets.
Handle all kinds, volumes and velocities of data and make them usable for multiple consumers. Use metadata to build new models that cover new risks and enable the processing of dark data.
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Value Proposition
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Template | Services | ValueProp #3
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Template | Services | ValueProp3 | Prop3
Personalise the policyholder experience.
Deepen existing relationships and attract new customers with richer, more informed interactions and modern UX.
Simplify the user experience by combining smart questionnaires with data sourcing for both buying coverage and handling claims.
Unbundle your insurance products and make them accessible with APIs. Integrate new behavioural data (like IoT) for more granular risk segmentation and pricing that rewards risk avoidance.
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Value Proposition Inverted
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Template | Services | ValueProp #4
Template | Services | ValueProp4 | Prop4
Empower actuaries and agents.
The flexibility to work (and play) with high quality data on high performance platforms.
Build modular, scalable data pipelines. Integrate operational and analytical data architectures. Move away from rigid data models to flexible extensible data schemas.
Enable new initiatives, like live monitoring of pricing performance or detecting shifts in portfolios, risks and coverage requests over time.
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Value Proposition
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Template | Services | Empty Space
Empty Space
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Get the latest from our sector and domain
Get the latest from our sector and domain
Watch the video, read the whitepaper, explore the case study.
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Template | Services | 4 column | Get the latest from our sector and domain
Template | Services | Diagram text #1
Deploy as a standalone landing zone or connect to your enterprise.
False
Template | Services | Diagram text #2
Right-size to your organisation, requirements and workloads through configuration and enhancements.
False
Template | Services | Diagram text #3
Ongoing support and management to standard operational and custom KPIs
False
Template | Services | Diagram text #4
Range of collaboration options to complement your in-house expertise.
False
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Template | Services | 5 Steps
If you use R in your organisation, the EARL Conference is for you and your team.
EARL offers great opportunities to learn technical skills and gives you the chance to explore solutions to the common issues facing the community. In conversation with your team, here’s some of our top reasons EARL needs to be on your list of must-attend conferences:
EARL 2022_Why Attend EARL_Reason1
1
Compelling keynotes.
With the unmissable Hannah Fry, John Burn-Murdoch and Harry Powell headlining the conference, you can’t help but leave inspired.
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EARL 2022_Why Attend EARL_Reason2
2
Deep dive workshops.
EARL’s ever-popular Day 1 agenda features a variety of workshops for 2022 designed to enhance your skills in Explainable Machine Learning, Time Series Visualisation, Shiny, Purrr and Plumber, backed by a library of resources.
False
EARL 2022_Why Attend EARL_Reason3
3
Custom agenda.
Build your own conference programme from the 60+ sessions on offer, based on relevance to your industry or use case (or just because!).
False
EARL 2022_Why Attend EARL_Reason4
4
Expand your network.
Invaluable networking opportunities abound throughout the conference. Meet like-minded professionals and enjoy a cocktail with the best in the business at the evening reception on Day 1.
False
EARL 2022_Why Attend EARL_Reason5
5
Creative playground.
Bring your team and get inspired by the latest solutions, exploring accessible ideas that you can take back and implement in your business.
At this year’s Global Insurtech Summit in London on 18th April, Fintech Global interviews Robert to draw on his extensive experience and deep expertise in insurtech. Listen now.
Global insurtech summit, insurance, insurtech, insurers, reinsurers, Konrad Pfeffer, future-proof insurer
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2023-05-25T23:00:00Z
Robert Rimmele, Principal Architect at Ascent, shares his insights on the value of data, automation, and AI in insurance.
Are insurance firms fundamentally IT companies? How do we automate while giving customers a seamless experience? What do insurers really aim to achieve with AI?
At this year’s Global Insurtech Summit in London on 18th April, Fintech Global interviews Robert to draw on his extensive experience and deep expertise in insurtech.
Robert answers the following questions:
What are some of the biggest trends you are seeing in insurance?
How can improved data tools help insurance companies transform their operations?
Why is effectively leveraging data so critical in a highly competitive environment?
How should insurers be leveraging automation within their workflows?
How is Ascent helping insurers with their digitalisation efforts?
Robert Rimmele
Principal Architect
Ascent
Robert is a Principal Architect at Ascent, with over 20 years’ experience of delivering practical technical consulting to global insurers and reinsurers. His main interests are large-scale architectures for data intensive applications and software development models and organisations.
Our customer is a leading global provider of reinsurance, primary insurance and insurance-related risk solutions, with a reputation for innovation.
The brief.
Like most reinsurers, our customer had a decentralised legacy landscape with heavy functional overlap across a diverse range of technologies. Different applications — each covering the net/gross pricing workflow — had been created for specialised Treaty and Facultative areas. This created inefficiencies as underwriters moved between multiple tools and interfaces to complete pricing processes.
We were initially engaged to help create a unified, streamlined underwriting platform geared for scale, consolidating legacy applications into a single integrated workflow. Over time, these original requirements evolved into an innovation-led roadmap that would enable our customer to build competitive edge with second and third generation pricing capabilities. This included developing the ability to flexibly combine and link mathematical models across business segments, and later the ability to fully automate the underwriting process, using meta data to build new models that cover new risks and enable the processing of dark data.
The solution.
A multi-year project. Multiple teams. Multiple countries. We worked closely with actuaries and underwriters on a daily basis and built the deep domain knowledge to deliver success for our customer.
Underwriting platform
We consolidated net pricing kernels (developed by the actuaries under a common loss component interface) and introduced a Common Gross Pricing calculation that incorporated loadings and contract conditions.
To build commonality and to harmonise the legacy landscape, we designed a common reporting interface at a database level across all Treaty and Facultative business domains to normalise operations, and a common submission and coverage module to define semantics in proportional and non-proportional business.
This enabled us to standardise both the way offers are created and signed, and the management of long-tail triangle structures, bringing the workflow into a single tool through automation.
Exposure
We then built a system that would manage detailed location-based exposure data from various sources and formats ranging from EDM to Excel input.
The exposure system is cloud-native, built on Azure for scale, and accommodates varying modelling workloads and large exposure data volumes. Exposure data is transformed and normalised into a format where it can be analysed and used for natural catastrophe model runs, additionally interfacing with the underwriting platform where it is used to shape pricing.
Automated underwriting platform
To further competitive edge through digital innovation, we created a channel proposition for the insurance sector that transforms time-to-market for new products and services via a fully automated underwriting process.
The outcome.
The integrated underwriting system now allows thousands of underwriters across the globe to efficiently calculate reinsurance coverages, using significantly fewer tools. The new reporting interface has also given Corporate Underwriting a consolidated view of performance across all Treaty and Facultative insurance products.
The exposure system enables our customer to minimise the operational burden in risk analysis and modelling, and to improve modelling productivity overall — accessing, calibrating, comparing and deploying risk models in one place.
The automated underwriting platform has helped our customer maintain their position at the frontier of insurance innovation, helping its channel partners launch, distribute and scale new or existing insurance products significantly faster, reducing costs and increasing process efficiency.