Name: Is Your Data Deceiving You? Getting Data Fit for a Digital World
Start: 2020-07-23T13:00:00Z
End: 2020-07-23T13:00:45.000Z
Location: BrightTALK

InsTech is the fastest growing community of people and companies working together to bring the best technology, data and analytics to solve today's insurance and risk management challenges. 
Based in the UK but with over 50% of our members accessing us from around the world, we are bringing together people from companies of all sizes in insurance, technology, risk management and investment. The primary roles of InsTech are 1) to help insurance companies find the best solutions to their needs, and 2) help technology companies find markets, investors and clients. We also offer individual membership and corporate membership. More details at www.instech.co

Europe is facing a rising tide of catastrophe risks: increasing floods, severe convective storms (SCS), and wildfires, alongside persistent earthquake exposure across the Mediterranean and the ongoing threat of major windstorms. At the same time, a rapidly evolving policy landscape, including emerging mandatory nat cat insurance schemes at both national and EU levels, is reshaping the opportunities and challenges for insurers.

This webinar brings together leading voices in risk modelling, insurance markets and policy development to examine how Europe can better anticipate, quantify and manage these growing risks.

Drawing on current market insights and technical expertise, our speakers will explore:
- The latest trends in flood, SCS, windstorm and wildfire risk across Europe
- How climate volatility is shifting risk and where the most significant changes are occurring
- The development and maturity of insurance markets across the region
- The state of risk modelling and data availability and whether Europe is being adequately served
- Innovative tools, regional challenges and practical strategies for closing the gap between rising risk levels and the ability to write and transfer risk with confidence

The discussion will provide a clear, grounded view of how insurers, modellers and policymakers can navigate a more complex and volatile risk environment.

Speakers:
- Iwan Stalder, Head of Group Accumulation Management, Zurich
- Balz Grollimund, Head Catastrophe Perils, Swiss Re
- Bastian Manz, Head of Catastrophe Modeling, DEVK RE
- Moderated by Claire Souch, Independent Consultant

Europe exposed: Modelling, markets and the next generation of cat risk

Storm surge remains one of the hardest perils to underwrite with confidence. For many portfolios, the weakest link isn’t the hazard engine, it’s the data that goes into it.

Shorelines can move rapidly, coastal defences change and elevations shift. Yet much of the underlying shoreline and elevation data feeding models can be years, and 100s of meters, out of date. Different vendors can deliver conflicting surge depths in the same location, creating uncertainty in high-hazard zones, inconsistent pricing, and difficult conversations with underwriters, brokers, and boards.

Ocean Ledger focuses on the underlying coastal drivers of storm surge - shoreline position, erosion trends, bathymetry and natural/engineered defences - delivering up-to-date standardised, scalable data inputs to strengthen vendor and in-house models for complex coastlines. In this webinar, we’ll explore how you can use these inputs alongside established models to reduce uncertainty, improve risk selection, and open up revenue where blanket pull-backs are leaving opportunity on the table.

Ocean Ledger will also discuss a practical workflow they have developed with KatRisk, a global leader in climate catastrophe risk modelling, to help clients understand where their current cat models may be overestimating or underestimating the risk, how to make adjustments and evidence those decisions.

Speakers:
- Paige Roepers, CEO, Ocean Ledger
- Brandon Katz, EVP Strategy, KatRisk
- Host: Claire Souch, Independent Consultant

The coastline is moving: Is your model keeping up?

Although global catastrophe losses in 2025 remain below the decadal average, this year has delivered several events that have tested catastrophe models, underwriting assumptions and reinsurance structures. From the Los Angeles wildfires to the Myanmar earthquake, widespread flooding, and a hyperactive tropical cyclone season, insurers have faced new lessons in both model performance and global event correlation.

Join InsTech and a panel of experts as we examine what really happened in 2025’s major catastrophe events and what this means for risk management, pricing and model validation across the insurance value chain.

Part of InsTech’s Exponential Risk Series, this session sets the scene for our flagship Exponential Risk Conference (10-11 March, London).

Our panel will share their insights into:
- What drove this year’s most impactful catastrophe losses - the surprises, the near-misses and the unexpected patterns.
- How evolving hazard behaviour, such as U.S. hurricane remnants reaching Europe, is reshaping understanding of global risk correlations.
- What weather and climate signals, including late-season hurricanes, reveal about shifting model assumptions.
- The implications of 2025’s events for model accuracy, validation and emerging gaps.
- How insurers and reinsurers can apply lessons from this year to strengthen catastrophe risk management and model governance.

Speakers include:
- Dr. Nigel Winspear, Head of Natural Catastrophe Analytics Research, Sompo International
- Cameron Rye, Director of Natural Catastrophe Analytics, Willis Re
- Nalan Senol Cabi, Head of Catastrophe Model Research, Arch Insurance Group
- Robert Stevenson, Director of Cat Risk & Reinsurance Analytics, Lloyd's
- Moderated by Claire Souch, Independent Consultant

This event is for catastrophe modellers, underwriters, exposure managers, reinsurers and anyone involved in evaluating or managing natural catastrophe risk.

Lessons from 2025’s major catastrophe events

If one insurance trend defines this year, it’s “Agentic AI”. As the market transitions from the early experimentation with generative AI to the operational reality of autonomous, agent-based systems, the focus has shifted to implementation: how can “agents” be effectively embedded into underwriting workflows to deliver measurable performance gains?

Underwriting faces a dual challenge: the need to process submissions faster and more accurately, while maintaining disciplined risk selection and control. Yet most insurers are still constrained by fragmented data, legacy systems and manual workflows. Agentic AI offers a potential shift in capability. By coordinating multiple autonomous agents to perform multi-step tasks - such as triaging submissions, detecting anomalies, and optimising portfolios - these systems promise to accelerate underwriting without compromising rigour. But moving from proof-of-concept to production remains a major hurdle for most insurers.

In this webinar, hosted in collaboration with Send, we’ll examine what’s really happening as insurers begin to deploy Agentic AI in live underwriting environments - the opportunities, early results and operational realities.

Our panel will explore:
- How agentic AI supports end-to-end underwriting workflows, not just user interfaces.
- Where early adopters are seeing measurable gains in speed, productivity and risk outcomes.
- What insurers need to address around data quality, governance and trust before scaling.
- Why the industry is now prioritising ROI from AI over experimentation.
- How to design a roadmap from pilot to production with the right governance in place.

Panel:
- Brad Tabor, Head of Revenue - North America, Send
- Carey Geaglone, Senior Principal Insurance Practice, Datos Insights
- Amy Nelsen, Head of UW Operations - US Middle Market, Zurich North America
- Moderated by Matthew Grant, CEO, InsTech

Underwriting in action: Real-world Agentic AI use cases

It is becoming clear that London is heading into a softening rating environment, which increases the need for greater efficiency, more speed and better risk assessment across the value chain. With Blueprint Two deadlines fast approaching and frameworks such as DORA taking effect, scalable, compliant solutions are no longer optional - they are essential for brokers to keep up with the changing market dynamics.

Big brokers have made significant digital investments over the past few years. Smaller firms are not able to invest in technology at the same level. The implications can feel daunting, raising the risk of falling behind as the big brokers gain leverage and competitive advantage.

In our webinar, hosted in collaboration with DXC and ServiceNow, our panellists will touch on the technology available for small and mid-sized brokers to fight back, and why it has never been better or cheaper than now.

Our panellists will discuss prevailing market dynamics and what is required in terms of data mastery and technology to stay relevant. In that context, they will showcase DXC’s recent launch of Assure Broking Essentials - a SaaS and operations platform backed by DXC, Velonetic, and global leaders like ServiceNow and AWS.

Conceived as a level-up technology for those without deep pockets, Assure Broking Essentials enables smaller brokers to become digital-first without incurring massive up-front investment costs. The platform provides an ecosystem of modern AI capabilities and regulatory support through a single, managed solution - designed to be deployed off the shelf. The heavy lifting and the upfront investment have been borne by the providers.

Speakers:
- Steve Reid, Director and Global Lead, Broking, DXC Technology
- Nigel Walsh, Global Head of Insurance, ServiceNow
- Anne Pearsall, Head of Product - Underwriting and Premium Services, Velonetic
- Moderated by Robin Merttens, Executive Chairman, InsTech

Jump Light Years: To digital broking and beyond

The technology driving claims transformation has evolved from theory into a powerful, proven practice - moving from exploring what’s possible to navigating how best to implement. For many claims leaders in the specialty market, introducing new claims technology represents their first major transformation initiative. Selecting the right tech is only one aspect of the journey. Successful implementation depends on having a clear roadmap, a well-informed pragmatic understanding, and strong leadership alignment.

On 5 November, our webinar hosted in partnership with DOCOsoft, will explore approaches to planning and delivering a successful claims management system implementation in the Lloyd’s and London Market.

Drawing on real-world experience, including insights from a recent rollout with Atrium Underwriters, the discussion will focus on how to align stakeholders, establish robust governance, and manage both the operational and the people aspects of change. Attendees will come away with a realistic view of what makes implementations succeed or fail in a complex, high-stakes environment.

Our live attendees will also have an opportunity to share their perspectives through an audience poll, as we explore where you see the biggest challenges in claims system implementations.

Key points:
- How to ensure implementation success from day one
- Why understanding the full scope of organisational change is critical
- How to balance the risks and rewards of upgrading to avoid operational debt and maximise benefit
- What it takes to manage the people side of change and drive adoption
- Why engineering quality determines rollout experience, system stability and long-term scalability
- How to reduce the resource burden on claims and operations teams through smarter delivery models

Speakers:
- Jo Shaw, Programme Delivery Manager, DOCOsoft
- Kim-Anh Nguyen, Senior Project Manager, DOCOsoft
- Andrew Johnson, Claims Operations, Atrium Underwriters
- Matthew Grant, CEO, InsTech

Why effective implementation is key to successful claims transformation

In insurance, the term “Agentic AI” was barely heard in 2024, but today, there is nothing that is more talked about. But endless column inches and rapid adoption are also creating confusion. So, what exactly is “Agentic AI” and what can it do that couldn’t be done before?

Defined as artificial intelligence capable of proactive decision-making and task execution without constant human prompts, it is conceptually distinct from purely generative AI models. Insurers remain divided over the benefits of AI adoption, but evidence is mounting: Agentic AI is already reshaping underwriting and operations. Firms not yet trialling it could lose competitive advantage.

InsTech’s upcoming webinar, hosted in partnership with OIP Insurtech, will discuss the current Agentic AI landscape and why culture is proving a strong predictor of AI success. 
Showcasing its Bound AI feature during the webinar, OIP will set the scene on the current problems the industry is facing with AI adoption and clarify where Agentic AI plays best within insurance: where workflows are complex and context-dependent.

The panel will provide perspectives that touch on the importance of discussing and understanding the real-world challenges insurers face with AI adoption, rather than just the theory.

This webinar will touch on:
- What is Agentic AI, and how does it differ from generative AI approaches in insurance?
- Where can Agentic AI have the most impact in underwriting and operational workflows?
- How are leading insurers and brokers already using this technology today?
- What are the risks of ignoring AI, and how can companies future-proof their implementation processes?
- What does a realistic implementation roadmap look like for mid-sized insurers?
- How do you evaluate and choose AI partners who understand the insurance industry?

Speakers:
- Mladen Subasic, Chief Product Officer, OIP Insurtech
- Christina Lucas, Global Director & Market Leader, Google
- Ulf König, Head of Innovation & Strategy, HDI

Agentic AI - friend not foe

Climate change is reshaping UK property risk, with subsidence emerging as one of its most significant yet underestimated threats. Driven by shifts in temperature and moisture that alter soil elasticity, subsidence is increasing in frequency, making traditional “1-in-100 year” event assumptions unreliable. National climate stress models often miss the hyper-local patterns that drive real-world losses.

Research by PriceHubble and MIAC Analytics has revealed previously hidden risk concentrations. Property-level analysis reveals clusters of vulnerability where worsening subsidence, climate trends and rising rebuild costs could make repair uneconomic. In some regions, projected rebuild costs are set to exceed market value within just two decades.

Join Mark Cunningham, Managing Director, PriceHubble UK, and Darrel Welch, Managing Director, MIAC Analytics, to explore:
- How property-level modelling provides more accurate assessment compared to national climate stress tests
- The link between the long-term reduction in asset value and increasing insurance claims potential
- Geographic patterns of subsidence risk and emerging “uninsurable” zones
- Lessons for insurers from 20-year of risk assessment experience by banks 
- Practical steps for assessing your own exposure

Key questions we’ll address
- Where could future claims concentrate - and why?
- When does the rebuild cost outweigh the property’s future value?
- How can insurers use property-level valuation data to improve underwriting and portfolio management?
- What early warning signs should pricing and risk teams monitor?

Speakers:
- Mark Cunningham, Managing Director, PriceHubble UK
- Darrel Welch, Managing Director, MIAC Analytics UK

Who should attend
This webinar is designed for underwriters, pricing analysts, risk managers, sustainability leads and portfolio strategists working in UK general insurance and reinsurance, especially those managing property-heavy books.

The hidden impact: climate risk and property value loss - Is subsidence the next flood?

The commercial insurance industry has long recognised that submissions, especially those with complex Schedules of Values (SOVs), are a major point of friction. Underwriters spend hours rekeying unstructured data into systems not designed to handle messy spreadsheets and ugly PDFs. 

Changing the workflow, not just the tool, has been the key to success at MSIG. Their underwriting process previously relied on approximations until binding. By digitising Vehicle schedules and integrating structured data early in the workflow, MSIG can now issue accurate quotes immediately at a vehicle level. The program increases quote accuracy, reduces time to quote, enables broker service of their client and eliminates rekeying and validation.

By starting with a pain point owned internally - rekeying - and by choosing a messy, high-friction class (agricultural fleet), the team built internal buy-in before moving outward. What began as a targeted pilot in agricultural fleet underwriting has now paved the way for a broader digital roadmap.

This webinar will explore:
- Why the submission and SOV remain a central pain point in commercial insurance 
- What MSIG changed in its submission workflow and why agricultural fleet was the right place to pilot
- How structuring data early improves pricing accuracy, quote turnaround time, and broker relationships
- How this approach (could) scale across other lines, and what comes next in MSIG’s digital roadmap
- What impact has improved efficiency had on other stakeholders - especially brokers?

Fixing the friction – delivering speed to quote with MSIG Europe and Insurants AI

Flood events around the world are getting more complex, with new hazards and new types of exposure. New approaches are now available to assess flood risk for insurers, brokers and risk managers, using advanced frameworks that consider both hazard and vulnerability.

InsTech is hosting a live webinar in collaboration with Verisk, Aviva, Guy Carpenter and Flood Re. The session will introduce Verisk’s latest UK and Ireland inland flood model and review issues such as assessing the risk for individual locations compared to portfolio-level analytics. We’ll be exploring how the technology available today is providing more opportunities for insurers and others to overcome past challenges. Finally, we will review how resilience can reduce property damage overall.

Topics include:
Why now?
Why is Verisk updating its Great Britain inland flood model and developing a new model for Ireland and what do these updates mean for underwriting, pricing and reinsurance strategies?

Accounting for resilience:
How to address real-world improvements such as the Flood Re “Build Back Better” initiative and the inclusion of property-level resilience measures.

Enhancing flood underwriting and portfolio management:
How high-resolution modelling, improved hazard data and advanced exposure analytics can support more accurate risk selection, pricing adequacy, portfolio accumulation management and capital planning.

Speakers:
- Caroline McMullan, Assistant Vice President, Verisk Extreme Events Solutions
- Chris Boss, Head of Catastrophe Modelling, Aviva
- Sam Bray, Vice President, International Peril Advisory, Guy Carpenter
- David McNamara, Head of Catastrophe and Climate Risk, Flood Re

The future of flood risk management: new tools, new data, new approaches

While mass fraud may be more prominent in personal lines, the specialty market faces its own growing threats: data manipulation, falsified documentation, opportunistic claims and complex cross-border fraud schemes. As fraud becomes more targeted and technical, so must the tools used to detect and prevent it.

This webinar explores how technologies like AI, process automation and business rules engine are not only reshaping how fraud is committed, but also how it’s detected and prevented. You’ll also learn why effective solutions don’t have to mean a complete system overhaul or significant investment.

Joining Robin Merttens in this webinar is Maciej Wir-Konas, Head of Agent Portal at Decerto, and Małgorzata Śmietanka, UCL Researcher. The session will focus on real case studies and client implementations.

In this webinar you will learn:
- The latest statistics and trends in insurance fraud, including a full picture of the problem in Europe, the UK and the US.
- How technology can help detect fraud and the risks it poses.
- How anti-fraud solutions work and why they are worth implementing.
- The key elements of an effective anti-fraud system.
- How to implement fraud protection effectively without costly and complex investments.
- Real-world implementations and case studies

CPD
This webinar is accredited by the CII. By watching, you can claim up to 0.5 hours towards your CPD scheme. To find the Learning Objectives, please visit https://www.instech.co/events/decode-the-deception-tackling-fraud-in-complex-insurance-risks/

Decode the deception: Tackling fraud in complex insurance risks

Modern pricing and underwriting platforms have come a long way but many still rely on manual coding, navigating technical documentation and time-consuming workflows that slow decision-making and increase the risk of errors.

The rise of AI ‘Copilots’ opens a new layer of intelligence and accessibility to these platforms. Tasks that once required deep technical expertise can now be supported or even completed by AI. These can transform the speed and precision which products are developed, prices are updated and underwriting appetite is modified.

In this live demo and Q&A, you’ll see how Earnix Copilot, a generative AI digital agent built into the Earnix platform, can answer questions, recommend best practices, and generate Python code to automate processes across your pricing and underwriting workflows.

Joining Matthew Grant during this session is Paul Webster, Business Solutions Engineer at Earnix and Jimmy White, Product Manager of Earnix Copilit. With more than 25 years of experience in insurance technology, Paul has worked across the industry to drive smarter transformation. Jimmy is a Duke University graduate with a degree in Computer Science, who works with the team to drive the development of Earnix Copilot.

In this session you will learn:
- Automate the heavy lifting: See how Earnix Copilot can generate Python code for tasks like data import, pricing simulations, or model deployment with no manual coding required.
- Accelerate onboarding and training: Learn how new and existing users can ask Earnix Copilot how to build GLMs, run what-if scenarios without digging through documentation.
- Streamline pricing and underwriting workflows: Explore how Earnix Copilot acts as your AI-powered agent, offering best practices and process guidance across pricing, rating and underwriting operations.


Speakers
- Paul Webster, Business Solutions Engineer, Earnix
- Jimmy White, Product Manager, Earnix
- Moderated by Matthew Grant, CEO, InsTech

Intelligent decision-making: discover Earnix’s Copilot

The insurance industry runs on data, but much of it is locked away in unstructured formats—found in claims documents, emails, policy records and customer communications. When this data is disorganised, it slows down claims processing, increases fraud risk and weakens AI-driven decision-making.

InsTech is hosting a webinar with Nuix, a data intelligence software provider, to explore how insurers can effectively access, structure and manage their data, enabling AI tools to deliver accurate insights, improve decision-making, strengthen fraud detection and enhance operational efficiency.

We will discuss:
·  How to structure data to make it AI-ready, boosting AI accuracy and claims decision-making.
·  Steps to identify and mitigate fraud through improved data management and detection capabilities.
·  Practical ways to streamline claims processing by automating extraction and analysis of critical information.
·  Strategies for turning data into a competitive advantage whilst ensuring compliance and security.

The panel will include:
·  Paul Slater, Vice President, Customer Strategy Innovation, Nuix
·  Keith Goldthorpe, Director of Solution Architecture, Cynozure
·  Matt Gilham, CEO, WHITELK Fraud Performance Consulting

CPD
This webinar is accredited by the CII. By watching, you can claim up to 0.5 hours towards your CPD scheme. To find the Learning Objectives, please visit https://www.instech.co/events/from-unstructured-to-ai-ready-unlocking-the-power-of-your-data/

From unstructured to AI-ready: unlocking the power of your data

In this webinar, we will discuss how and where GenAI is being used in underwriting and provide helpful guidelines designed to optimise the impact and accuracy of GenAI outcomes. 

Topics we will cover will include: 
- Getting the diet right - AI and GenAI feed on a data diet. Only good data quality and data governance will ensure balanced and healthy AI outcomes. 
- Completeness, Correctness and Consistency - the importance of standardised and consistent terminology for accurate and reliable results. 
- Getting the approach right - the respective merits of applying a "bottom-up" approach (We have data, we have tech, so we will get good solutions) v "top-down" (what is the best way to provide something valuable and impactful for our underwriters). 
- User Experience - in the context of GenAI, what is it, what is the benefit, and what is required?
- Designing the right KPIs to apply to AI projects, including on efficiency, effectiveness, talent, etc.
- Automation v Insights - AI is driving two different use cases: increased automation for greater efficiency and improved insights for better decisioning. How do you prioritise? 
- Managing the speed of change - AI spawned GenAI and now we’re already moving into AgenticAI - what next?

Speakers:
Alexander Petzmann, Group Topic Lead GenAI, UNIQA Insurance Group
Dr. Christian Straube, Partner, Global Industry Lead Insurance, Zühlke Group

CPD
This webinar is accredited by the CII. By watching, you can claim up to 0.5 hours towards your CPD scheme. To find the Learning Objectives, please visit https://www.instech.co/events/genai-in-underwriting-from-poc-to-impact/

GenAI in underwriting - from PoC to impact

Fraud remains a major challenge for insurers, MGAs and TPAs, with fraudsters constantly evolving their tactics to evade detection. From staged claims to organised fraud rings, new threats require insurers to stay ahead - not just with expertise, but with the right technology.

Join us for this webinar, where industry experts Sherre Wood, Counter-Fraud Consultant (specialising in Property claims) at Ageas and Synergy Cloud’s Tom Burroughs will explore the latest fraud trends, the impact of emerging fraud detection technologies and how insurers can strengthen their counter-fraud strategies through collaboration.

In this session, we discuss:
- The latest fraud tactics being used in insurance claims today
- How technology is improving fraud detection, from document analysis to AI-powered tools
- The ways fraudsters are adapting to evade detection
- How tech partnerships can enhance counter-fraud efforts across the claims process
- The challenges of training teams to spot complex fraud scenarios
- The role of generative AI in improving fraud detection and reducing bias

This webinar serves as a precursor to our upcoming evening event on May 7th: "Claims Automation Platforms in Specialty Insurance—Dispelling the Myths." The claims event is supported by Synergy Cloud and RDT. More information is here: https://www.instech.co/events/claims-automation-platforms-in-specialty-insurance-dispelling-the-myths/

Continuing Professional Development
This webinar is accredited by the CII. By watching, you can claim up to 0.5 hours towards your CPD scheme. To find the Learning Objectives, please visit https://www.instech.co/events/collaborative-counter-fraud-experts-and-technology-working-in-partnership/

Collaborative counter fraud - experts and technology working in partnership

1 in 5 properties in the UK are at risk of surface water flooding, and with global flood losses projected to increase five-fold by 2050, it is critical to understand and manage your flood risk.

While flood alerts are available in many regions, they often fail to cover key risks such as surface water flooding, smaller streams and rivers, drainage systems and other water bodies. This gap leaves businesses and communities vulnerable to significant, yet preventable, impacts. 

The nature of flooding is complex. The way floods develop and escalate depends on a variety of factors, with rainfall forecasts changing constantly—even hourly shifts can alter rainfall patterns dramatically. 

In this webinar, Matthew Grant will be joined by flood modelling specialists from Previsico, alongside their customers, to explore how real-time data can provide more accurate and actionable flood warnings, helping businesses to better manage their risks.

You’ll learn about the key data inputs that contribute to accurate early flood warnings, hear real-life examples from customers who’ve successfully utilised this data and gain insights into strategies for improving your flood risk management.

We’ll discuss:
- The growing flood risk and the specific challenges faced by industries most vulnerable to flooding.
- The complexities of surface water flooding, and the critical data needed to predict and respond to these events.
- Why it’s crucial for businesses to understand and act on their flood risk before it impacts operations.
- How actionable, accurate flood warnings can help prevent damage to infrastructure, stock and operations—and reduce business disruption, health and safety risks, and financial losses.

Continuing Professional Development
This webinar is accredited by the CII. By watching, you can claim up to 0.5 hours towards your CPD scheme. To find the Learning Objectives, please visit https://shorturl.at/oPuNa

Flood forecasting: How to achieve real-time accuracy and actionable results

After an earthquake, reinsurers, brokers and risk managers need accurate data to quickly assess damage and loss potential, both at individual site level - and across a portfolio.

We are bringing together an outstanding panel to discuss the best sources of information available throughout the world, and where and how these are most effective for different use cases.

You will hear directly from the founders of Shakemap (part of the USGS) and Safehub, along with practical examples of parametric insurance for earthquake offered by Liberty Mutual Reinsurance. Matthew Grant, InsTech’s CEO, will be moderating, bringing personal experience from assessing earthquake loss for over 35 years.  

Panel:
- David Wald, Seismologist, USGS National Earthquake Information Center
- Jean-Christophe Garaix, Head of Parametrics, Liberty Mutual Reinsurance
- Andy Thompson, CEO, Safehub
- Moderated by Matthew Grant, CEO, InsTech

This live webinar is recommended for anyone involved in the assessment of earthquake damage, insurance underwriting, modelling or managing reinsurance capacity

Continuing Professional Development
This InsTech Webinar is accredited by the Chartered Insurance Institute (CII). By watching, you can claim up to 0.5 hours towards your CPD scheme.

By the end of this Webinar, you should be able to meet the following Learning Objectives:
- Describe how the integration of building-specific sensors and regional analysis tools enhances post-earthquake risk assessment
- Explain the role of advanced data collection methods in improving the precision of parametric insurance triggers and earthquake coverage
- Identify approaches to earthquake risk management that support effective decision-making and accelerate recovery efforts

CII CPD accreditation demonstrates the quality of the learning of this InsTech event and confirms it meets CII CPD scheme requirements.

Seismic Synergy: Sensors and ShakeMap - Optimising Post-Earthquake Damage Data

The transformative power of AI should no longer be about potential—2025 is fast approaching, and the time for real implementations. Join us to hear speakers from V7 plus guest insurer speaker to discuss how AI is reshaping the insurance landscape and what you need to do to stay ahead.

They will bring their hands-on experience and insights to assess the trends, challenges, and opportunities that AI presents for insurers in 2025 and beyond.

Talking points:
- How might AI influence the way insurance is delivered in 2025?: Explore how AI is poised to transform underwriting, claims, and customer interactions, offering new efficiencies and insights.
- The art of building trust in AI for insurance: Understand the critical role of transparency, accountability, and education in getting buy-in for AI initiatives.
- From extraction to decision-making: Delve into when and where AI will move beyond data extraction and summarisation to become a trusted part of the decision-making processes.
- The importance of agility in AI deployment: Learn how rapid test-and-learn cycles are accelerating innovation, making it easier to iterate, adapt, and succeed (or fail fast).
- Data readiness for large language models (LLMs): Hear practical advice on preparing your data for optimal AI implementation—because good outcomes start with good inputs.
- The time for talking is over: Enough theory - it is time for real action. Hear some AI case studies and success stories of successful deployments and how they delivered measurable value across the insurance value chain.

Curious about AI’s practical implications? Want to learn from early adopters and hands-on practitioners? Wherever you are on your journey, this webinar will provide insights that will guide you in your next steps.

This webinar is accredited by the CII. By watching, you can claim up to 0.5 hours towards your CPD scheme. To find the Learning Objectives, please visit https://www.instech.co/events/ai-for-2025-lets-get-on-with-it/

AI for 2025: Let’s get on with it

Everyone's talking about the power of data. Yet the more information we have, the greater the chance that poor data hygiene can trigger some unpleasant surprises in your analytics, pricing or reporting. We're joined by Nick Mair, CEO and co-founder of DQPro, to find out how leading insurance carriers have been able to introduce simple, but effective processes to identify and sort out erroneous or missing data. Charles Joseph of Datazed and Amrit Santhirasenan of Hyperexponential bring their real-word experience and advice on overcoming the challenges, and the benefits that arise, in getting data fit.

Is Your Data Deceiving You? Getting Data Fit for a Digital World

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Is Your Data Deceiving You? Getting Data Fit for a Digital World

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