Name: Gen-AI and Large Language Models in Claims: Embracing Potential, Managing Risk
Start: 2023-12-18T15:00:00Z
End: 2023-12-18T15:00:59.000Z
Location: BrightTALK
Rating: 4.7

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Back in February 2024, Air Canada lost a court case against a passenger when it tried - and failed - to disavow its AI-powered chatbot for giving incorrect information. As many organizations become reliant on AI, this exposes them to a host of risks, including reputational damage, financial loss, compliance challenges, and litigation. In fact, AI was ranked # 1 among Board-identified risks, surpassing Cyber.
 
So how can insurers prepare for arguably the biggest emerging risk of the century?  Should the industry stop covering AI related risks?  Adapt existing policies?  Or will we see a new line of business emerging? 
 
For commercial insurers, the race is on to pinpoint the exposure created by AI (especially within Cyber, D&O, E&O, R&W) and create a game-plan for existing - and future - policies.  
 
Get your step-by-step guide to the opportunities and challenges around AI risks in this upcoming webinar: 

- Discuss how existing policies (Cyber, D&O, E&O, Reps & Warranties) need to change to account for the new risks from AI
- Understand the tactics insurers can take to protect themselves:  Adding specific provisions and limitations, accounting for AI oversight and AI-driven decision-making and determining liability when errors involve both human and AI recommendations 
- Find out how the risk data should be measured - in underwriting and post-binding - to price and reduce the AI risks
- Debate the opportunity for the creation of new AI products to meet policy holders’ needs
 
Speakers: 
- Paul Larson, President of Specialty Financial Lines, Liberty Mutual Insurance
- Jack Bassett, AVP Professional & Executive Risk, Lockton
- George Beattie, Head of Innovation, CFC Underwriting
- Matt Van Itallie, CEO, Sema AI

This webinar is brought to you in association with SEMA AI. By registering you agree to share your information with this organisation.

Capture the opportunity to insure AI risks: How do existing and future policies need to change?

As insurers face a rapidly changing environment and shifting customer expectations, modernising underwriting is crucial for capturing new business and driving profitability. This webinar explores how new technologies and innovative processes can transform underwriting, improving agility and outcomes. Learn to leverage advanced data analytics for better risk assessment, automate operations, and enhance decision-making with AI and machine learning.

Key Discussion Points:
- Discuss how legacy systems are creating barriers to realising underwriting’s true potential
- Unpack some of the challenges insurers face in today’s underwriting landscape
- Discover how predictive analytics and real-time data insights can refine risk assessment, enhance pricing accuracy, and support better underwriting decisions
- Explore ways to automate repetitive workflows, speeding up processing times and enabling your teams to focus on strategic, high-impact tasks
- Learn to integrate AI and machine learning into decision-making processes to improve the accuracy and speed of underwriting and claims evaluations
- Gain insights on fostering a culture that embraces change and continuous improvement, driving higher efficiency, adaptability, and profitability across operations

Speakers include:  
- Scott Toland, Chief Underwriting Officer, EMEA, Zurich Insurance
- John Pyall, Head of Underwriting and Product, Great Lakes Insurance
- Marcus Looft, Strategy Director, Earnix
- Tony Tarquini, Founder & CEO, 5189 Limited (Moderator)

This webinar is brought to you in association with Earnix. By registering you agree to share your information with this organisation.

Revolutionising Underwriting Using AI: Boost Agility and Profitability

As Generative AI (Gen-AI) transforms industries, one of the most promising applications is in automating complex workflows in insurance, particularly underwriting and claims management. In this webinar, we’ll explore how AI-powered solutions, including Enterprise AI Agents, help insurers scale beyond pilots, operationalising AI to improve decision-making and efficiency. We'll cover key use cases like Claims Quality Assurance, risk evaluation, and data management, and discuss how AI agents autonomously perform critical tasks, driving real enterprise-wide transformation.

Key Discussion Points:
- Discuss the difference between various AI technologies, including AI agents that go “beyond information to action,” autonomously managing complex tasks, learning from data, and improving decision-making processes.
- Discover how AI can revolutionize claims by tackling complex, dynamic tasks in claims.
- Gain insights into scaling AI across your enterprise for transformational impact and driving sustainable growth and innovation.
- Learn to bridge the gap between humans and tech.

Speakers include:
- Fredrik Thuring,  Head of Operational Analytics, Trygg-Hansa
- Graham Lee, UK GI Claims Technology & Innovation Lead,  Aviva
- Hugh Pelling,  UK&I Sales Director, Digital Workforce
- Hélène Stanway, Advisor and Consultant,  HMLS Consulting Ltd (Moderator)

This webinar is brought to you in association with Digital Workforce. By registering you agree to share your information with this organisation.

Gen-AI in Action: Automating and Enhancing Complex Workflows in Claims

Spiraling costs following a cyber breach present a huge challenge for both insureds and insurers. Following an incident, insurers need to stay close to the incident and have a comprehensive understanding of the costs. Pre-vetting of vendors is crucial; you should consider the type of incident, and the insured. 
 
To put it simply, delivering a disaster response plan that ensures business continuity and restores core functionality means you need the right partners involved in the right incidents.   
 
Take for example, data mining. It’s a pain point in terms of unpredictable costs.  Insurers that hunt down the right vendors to help them efficiently process the data, and reduce manual intervention, will be the winners. 
 
Tune into this webinar to:   
- Ensure your incident response plan is robust and regularly updated: Analyze the gaps to minimize downtime and losses 
- Avoid volatile costs: Resolve unknowns and uncertainties, especially around large data sets, and evaluate how many people are impacted, and the scope of the attack 
- Discuss strategies for working with vendors you trust, conducting due diligence, and getting accurate quotes without costs spiraling 
- Address the challenges of a third-party breach, including data mining and notification covering multiple countries and languages
- Investigate your preferred vendors’ rates and review contracts and retainer agreements to ensure that respective responsibilities and assumed liability is in place well in advance of an incident
 
Richard Savage, Senior Director, Cyber Incident Response, Tokio Marine
Monique Ferraro, Cyber Counsel, HSB 
Megan Silverman, VP Cyber Solutions, Integreon 
Carolyn Purwin-Ryan, Partner—Data Privacy and Cybersecurity, Mullen Coughlin
Moderator: Anshu Gupta, President: Business Head, Cyber Solutions, Integreon
 
This webinar is brought to you in association with Integreon. By registering you agree to share your information with this organisation.

Bring Predictability to the Unpredictable: Reduce spiraling costs for incident response

This webinar explores how AI can equip insurers with tools necessary to refine risk segmentation and increase pricing precision, and the positive impact this could have on loss ratios. 

Featuring insights from across the P&C sector - and motor in particular, where traditional actuarial models need refinement to meet the evolving challenges in risk assessment - this session delves into how AI-driven customer risk scoring can improve underwriting precision.

You'll see how, by deploying sophisticated risk models, you can achieve more granular portfolio segmentation, offering bespoke coverage solutions and making data-driven adjustments to pricing structures based on the risk profiles of policyholders. You'll hear how this can ensure greater alignment of coverage with risk, and the ability to meet the demand for personalised insurance solutions.  

By attending you’ll take away an understanding of how:

- AI can enhance risk segmentation and improve pricing precision, potentially reducing loss ratios
- AI-driven customer risk scoring can improve underwriting precision
- AI can enable more granular portfolio segmentation and personalised insurance solutions
- Real-time analytics powered by AI can support advanced risk mitigation and informed decision-making
- AI integration with traditional actuarial methods can optimise portfolio governance and improve financial performance

Speakers include:
- Arina Man, Chief Executive Officer, K2G
- Bill Wilkins, Snr VP, Advanced Analytics and Practical Applications, Safety National
- Oleg Korol, CTO, K2G
- Christian Toft-Nielsen, Senior Vice President, Predictive Modeling & AI Strategy, Ascot

This webinar is brought to you in association with K2G. By registering you agree to share your information with this organisation.

AI-Powered Strategies to Control Loss Ratios in P&C

In the rapidly evolving landscape of the insurance industry, digital transformation is no longer a choice but a necessity. As companies strive to remain competitive and meet the ever-increasing expectations of customers, the integration of Artificial Intelligence (AI) into their operations—particularly underwriting—has become a game-changer.

Join us for a webinar where we will demonstrate and provide practical examples of how AI is transforming the underwriting process. As the insurance industry continues to evolve, AI is becoming a critical tool for enhancing risk assessment, streamlining operations, and making more informed underwriting decisions. In this session, industry experts will explore the practical applications of AI in underwriting, showcasing how it is revolutionizing traditional methods, improving accuracy, and driving efficiency.

Key takeaways include:
- Enhanced Risk Assessment: Discover how AI leverages vast datasets to improve risk prediction and pricing accuracy.
- Operational Efficiency: Learn how AI is automating routine underwriting tasks, reducing turnaround times, and increasing consistency.
- Personalization: Understand how AI enables the creation of tailored policies that meet individual customer needs.
- Future Trends: Explore emerging AI technologies and trends that will shape the future of underwriting.        

By attending you will hear from:
- Wendy Crosley, Global Director of Underwriting Automation & Transformation, WTW
- Andrew Zarkowsky, Head of AI Underwriting, The Hartford
- Ray Morris, Chief Data Officer, COUNTRY Financial
- Sathish Kumar, EV Director: Product Management, EdgeVerve

This webinar is brought to you in association with EdgeVerve. By registering you agree to share your information with this organisation.

The Power of AI in Underwriting: Revolutionizing Risk Assessment and Decision-Making

While reinsurance property lines might still be enjoying hard market conditions, the situation for casualty re/insurers is more complex. Increased competition has driven rates down while loss costs, driven by economic inflation, social inflation, higher loss values and economic turbulence, have increased.
 
The tailwinds carriers enjoyed are now turning – into noticeable headwinds. Meanwhile, concerns about adequate reserving are emerging as are worries over investment portfolios.
 
The discussion will offer a bird’s eye view of the casualty landscape, while also drilling into the nuanced picture in specific lines including workers’ comp, D&O, transactional liability, cyber and general casualty business. The discussion will consider the importance of discipline in turbulent times.
 
This special webinar called ‘Casualty: tailwinds turn to headwinds – discipline is needed in turbulent times’, featuring speakers from Markel Global Reinsurance, Aon and Howden Re will examine the complexities of casualty business ahead of another renewal. The event is being held on July 10 at 3pm BST/10am EDT and is sponsored by Markel Global Reinsurance.
 
At this event, you will:
- Understand the challenges carriers are facing and why they are so intense
- Secure insights into the nuance around how difference lines are performing
- Gain an understanding of how inflation and increased loss costs are hurting carriers
- Better grasp how carriers can still be results-oriented despite uncertainty
- Learn why good communication between cedant, broker and reinsurer is critical
 
In this free webinar, you’ll hear from:
- Don Bahr, President, Markel Global Reinsurance
- Alan Dowling, Managing Director, Markel Global Reinsurance
- Randy Stanco,  Executive Managing Director, Aon
- Jim Walsh, Managing Director, Howden Re
 
This webinar is brought to you in association with Markel Global Reinsurance. By registering you agree to share your information with this organisation.

Casualty: tailwinds turn to headwinds – discipline is needed in turbulent times

Amid escalating risks and rising inflation, insurers face mounting pressure to embrace digital transformation to maintain competitiveness. Connectivity, automation, and AI are reshaping the insurance business landscape, facilitating a shift from detect-and-repair to predict-and-prevent. 

This transformation will affect pricing, distribution, underwriting, and claims, but a significant gap still exists between insurers' aspirations and current realities. Although a digital-first approach driven by AI and automation promises industry-wide advancements, many firms struggle with implementation challenges. These include process inefficiencies and a lack of data readiness, which continue to hinder the expansion of digital initiatives, customer experiences (CX), and productivity gains.

By attending this webinar you will hear from Industry experts who will share insights into how to overcome obstacles and unlock the full potential of your digital transformation journey.

- Address the necessity to course correct to a fail-proof digital transformation strategy.
- Explore the potential of a digital-first approach powered by AI and automation.
- Insight into the persistent struggles faced by many insurers in overcoming implementation hurdles.
- Navigate the challenges and opportunities presented by the digital age, and discuss critical solutions for enhancing connectivity, efficiency, and competitiveness.

By attending, you will hear from:
- Sathish Kumar EV, Head of Product Management, EdgeVerve
- Richard La Gala, VP, Director of Risk Control Transformation Services, Sompo International
-  Ben Podbielski, Applied Technologies for P&C Innovation Lead, Nationwide
- Tony Boobier, Consultant, Mentor, Author, Advisory (Moderator)

This webinar is brought to you in association with EdgeVerve. By registering you agree to share your information with this organisation.

Cracking Digital Transformation In Insurance With Platform-Centric Strategies

With its remarkable capability to generate diverse content based on its training data, Gen-AI presents a myriad of potential applications in insurance, spanning underwriting, claims, and beyond. Most insurers are actively delving into Gen-AI, with many conducting up to 15 different proofs of concept or early-stage prototypes. The payoff could be huge: McKinsey predicts that Gen-AI could unlock up to $1 trillion in annual value for the global insurance industry.

However, as the shift from concept to implementation gains momentum, insurers will encounter challenges. Some may find these hurdles impede efforts to leverage Gen-AI for competitive advantage. Yet, for others, hype will give way to a more practical approach, allowing them to capitalize on what could be the most influential technology of the next decade.

Key takeaways:
- Current state of Insurance Industry with the hype around Gen-AI
- Top focus areas for Enterprises when it comes to implementing Gen-AI
- How data and connected enterprises play a role in leveraging this advanced technology 
_ Discuss the current challenges and how Gen-AI can help in influencing the enterprise of the future by:
....Improving business outcomes
....Accelerating innovation
....Driving growth
...Different use cases of Gen-AI in Commercial Insurance

This webinar is brought to you in association with EdgeVerve. By registering you agree to share your information with this organisation.
Speakers include:
- Bill Wilkins, SVP, Advanced Analytics and Practical Applications, Safety National
- Dorzhi Dondukov, Division Lead of Data Science Platform, AXA XL
- Madhur Naidu, Senior Technical Manager, Edgeverve
- Moderated by: Robin Roberson, Senior AI and Cyber Consultant, Future Point of View
This webinar is brought to you in association with EdgeVerve. By registering you agree to share your information with this organisation.

Hype or Hope – Is Gen-AI reshaping Commercial Insurance?

The risk landscape for companies is constantly shifting, with liability risks on the rise globally. Natural catastrophes, supply chain/business interruption risk from geopolitical tensions, data privacy litigation, AI and autonomous technologies and developing climate concerns will create new liability scenarios which could accelerate an increase in global litigation and arbitration. 

Boards around the world are concerned about where the next big loss will come from and how to mitigate it. Questions relate to when to run away from risk and when to run toward it. Do you ignore it—and for how long?
This session will delve into how to manage emerging and evolving risks and identify strategic opportunities for growth in an uncertain environment. 

 -  The emerging issues faced in the EU and UK compared to the US and the rest of the world
 -  Where the current claims and legal cases are occurring
 -  In the realm of emerging and evolving risks, uncertainty often presents an opportunity. Amid the uncertainties, are the obstacles or the opportunities more substantial? And when is the right moment to take a calculated risk?
 -  Actionable steps for insurers when faced with high-probability, high-impact risks
 -  The practical steps insurers can take to mitigate the impact of emerging risks on portfolios, operations and 
financial performance
 -  Strategies to encourage cross-functional collaboration between exposure management experts and underwriting, actuarial, and claims to achieve a well-rounded approach to risk quantification, scenario planning, 
and response plans

You will hear from:
 - Raz Jahid, Global Head of Exposure management, Axis Capital
 - Heidi Bloch, Partner, Kennedys Law
 - Darren Pain, Director, Evolving Liability, The Geneva Association
 - Chris Dee, P&C Underwriting Management, Casualty Practice Leader, SCOR
 - Adam Grossman, Senior VP, Emerging Risk, Praedicat

Emerging and Evolving Liability Risks: Threats and Opportunities for Insurers

In the current landscape, the insurance industry is undergoing rapid and unprecedented transformations. Within the dynamic realm of insurance, the imperative for artificial intelligence (AI) solutions within a connected ecosystem to propel transformative growth has never been more pressing.

The ability to serve millions of customers with an array of demands, while evolving into a future-ready business, is contingent upon an enterprise’s adept integration of digital strategies throughout the entire organisation. This demands the identification and resolution of operational blind spots, necessitating a harmonious collaboration between people, AI, and automation. Together, they operate in a seamlessly connected mode, working towards a shared objective of empowering employees, serving customers, and continually raising industry benchmarks.

Join this 1-hour webinar as we discuss:
- Challenges amid technological advancements: Uncover the data, people, and process challenges faced by industry leaders in navigating recent technological advancements
- The power of connected enterprise: Learn how unearthing data, understanding task granularity, and digitising operations can enhance connectivity, mitigate operational blind spots and reduce manual efforts
- Gain key learnings that will help other insurance companies on their transformation journey 

Panel: 
- Madhur Naidu, Senior Technical Manager, EdgeVerve
- Naoufel Ghafir, Global Lead Digital Transformation, AXA XL and AJ Harms, Business Solutions Manager, AXA XL
- Todd Soisson, IT Vice President, Tokio Marine North America Services
- Moderator: Christopher Frankland, CEO, Insurtech360

This webinar is brought to you in association with EdgeVerve. By registering you agree to share your information with this organisation.

Accelerate Insurance Transformation Through AI  and a Connected Enterprise

2024 finds generative AI both over-hyped and very real. An AI-first insurance business these days is seldom without proof of concept, data quality and transformational use cases.

In this fast-paced webinar, get a comprehensive view of the AI landscape for insurance. Learn from the AI-first insurance practices of large enterprises.

Speakers

Suhas Sethi, Global Insurance Leader, Genpact
Ben Podbielski, Applied Technologies for P&C Innovation, Nationwide
Ramesh Sethi, Digital Solutions Delivery, Prudential Financial
Maria Kokiasmenos, VP, Associate General Counsel, The Hartford
Manoj Kumar, Global Head of Data and Analytics for Insurance, Genpact

Mastering Gen-AI Implementation - Ensuring Responsible, Secure, Scalable ROI

Today’s underwriters, despite their expertise, are inundated with multiple data sources, spending too much of their time deciphering them rather than focusing on their core tasks like risk assessments. 

Transitioning to efficient workflows reduces administrative efforts, speeds up responses to brokers, and streamlines email and data handling. There’s an evident need to address inconsistencies in broker submissions, and through AI, insurers can quickly identify data gaps, ensure alignment with coverage, and deliver automated feedback, leading to more efficient and accurate risk assessments. 

This webinar will address the data challenges faced by modern underwriters and discuss the optimal strategies to harness data to refine underwriting processes. During this insightful session, industry experts will delve into the following key areas:
-Boost broker-underwriter communication by speeding up responses, simplifying data analysis, and honing underwriters’ focus on accurate quoting and risk assessment. 
-Unlock workflow efficiencies by shifting to auditable workflows, utilising workbenches for data analysis, and embracing advanced tech like AI capabilities for faster responses and thorough data analysis
-Streamline risk and data management by enhancing data integration, addressing broker information gaps, and automating email assessments for aligned coverage proposals. 
You'll hear from:
- Shinji Shirai, Head of Business Services and Claims Management, VIG Re
- Gijsbert Cox, Industry Leader Insurance EMEA + APAC, Appian
- Saranyaa Mohan, Founder & CEO, Aruvi Consulting
- Yannick Even, Global Analytics Business Partner & Head of APAC - Advanced Analytics CoE, Swiss Re

Operationalise Data for Enhanced Underwriting Processes

This webinar will explore how fraud & claims transformation can support insurers to improve customer and broker experiences with innovative technological and data-driven strategies. Join this webinar to discover how to unlock the potential for sustainable success through customer-centric and broker-friendly fraud & claims practices.

During this insightful session, industry experts will delve into the following key areas:

-Recognize the Importance of Customer and Broker Experiences: Explore the impact of streamlined underwriting processes on broker satisfaction and customer loyalty
-Leverage Technology to Enhance Experiences: Optimise underwriting workflows to enable seamless and intuitive digital interactions for customers and brokers 
-Empower Brokers To Better Serve Customers: Equip brokers with user-friendly tools and real-time access to underwriting information
-Simplify Processes and Accelerate Turnaround Time: Reduce administrative burdens through automated data capture and validation to minimise delays and enable faster quote generation and policy issuance
-Build Trust and Collaboration: Foster transparency and open communication between underwriters, customers, and brokers and strengthen relationships through consistent and responsive underwriting support

Speakers: 
Alison Callaway, Senior Solutions Consultant, Blue Prism
Richard Danby, Application Support Manager, Atlanta Group
John Mackey, Customer Success Director, Blue Prism

Elevate Customer and Broker Experience Through Fraud & Claims Transformation

As the demand for capacity within the cyber insurance market continues to grow, pressure is increasing for insurers and reinsurers to improve their understanding of the accumulation and catastrophe exposure within their portfolios. As a result, insurers are looking for more accurate insights and alternative modelling options. 

Predictive modelling is currently the prevalent approach, however its weaknesses could mean carriers are missing out on the highly valuable scenario-driven insights that can be provided by a more definitive, technologically driven approach. 

In this webinar, Intelligent Insurer brings together industry experts to discuss how cyber risk modelling will need to change to adapt to the dynamic nature of the risk, enabling the insurance industry to better quantify cyber exposure. 

In this 1-hour webinar, our panel of experts will discuss how to: 
Examine the evolving cyber risk environment and the growing concerns in the insurance world about accumulation risk. 
Explore the limitations of traditional catastrophe modelling in the context of today’s threat landscape. 
Leverage more definitive, tech-driven modelling approaches in cyber catastrophe scenarios to effectively identify loss drivers and areas of risk accumulation. 
Unlock alternative capacity in the market by gaining insights into more accurate and evidence-based catastrophe modelling. 
How utilising definitive catastrophe modelling can contribute to overall market stability in cyber insurance and satisfying future regulatory evolution

Evaluate accurate exposure and accumulation risk through cyber risk modelling

Gen-AI is beginning to transform the insurance value chain by automating processes with speed & efficiency, expanding the capacity for data ingestion & processing, providing more meaningful data insights, & ultimately enhancing insurer decision-making.  While many insurers face end-to-end operational & productivity challenges such as long queues, reduced underwriter productivity, inefficient submission processes, inefficient quoting & fragmented carrier/broker communication, Gen-AI offers solutions to heighten operational efficiency organisation-wide.

However, despite the power of Gen-AI, the industry has lagged when it comes to investing in AI. As Gen-AI tech continues to evolve, so will its potential applications, so how can companies address challenges such as balancing innovation with compliance, regulations & data security, when it comes to seamless & secure implementation of Gen-AI? Are insurance customers ready for Gen-AI?

In this session we will discuss:
 - Discuss the current insurance industry challenges & how Gen-AI can help shape the future by improving business outcomes, accelerate innovation & drive growth 
 - Explore how businesses are unlocking value from Gen-AI in tackling operational challenges such as processing large amounts of information & transforming document data quickly & accurately for enhanced decision-making 
 - Address how compliance & regulation intricately intersect with the realm of Gen-AI solutions
 - Learn how Gen-AI drives cost reduction, process efficiency & accuracy, enhances insights, & improves the customer experience
 - Discover how to leverage Gen-AI technologies in different scenarios 
Speakers: 
Sathish Kumar, Head of Product Management, Edgeverve
Anju Gupta, VP Data Science & Analytics ML/AI, Northwestern Mutual
Ryann Foelker, Innovation Design Director, American Family Insurance
Burak Seren, SVP & Head of Enterprise Technology, Sompo International
Dr Jacob Abboud, Founder & MD ,Petraenovus Consulting ·(Moderator)

Gen-AI as a game-changer for insights-driven decision-making for insurers

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly reshaping how insurers innovate and engage with clients. The driving force behind this transformation is the surge in data availability, collection, and processing capabilities. 
Join us as we explore data's pivotal role in fueling Generative AI and ML advancements. This webinar will examine the dynamic interplay between first-party data and the emerging need for enhanced data sources that transcend conventional boundaries to maximize claims processing and enhance user experience.

In this webinar you will:
- Examine the ways in which Generative AI (Gen-AI) can streamline complex claims management processes, and be integrated incrementally into core business functions with minimal disruption to live claims
- Learn how AI and Machine Learning (ML) are reshaping how insurers engage with clients, and allow innovation in claims processing at unprecedented speeds, driven by a surge in data availability, collection, and processing capabilities
- Explore data's pivotal role in fuelling Gen-AI and ML advancements: examine the dynamic interplay between first-party data and the emerging need for enhanced data sources that transcend conventional boundaries to maximize claims processing and enhance user experience
- Understand the potential impact of new governance and regulation around Gen-AI, and how you can adopt responsible practises and implementation that will create lasting value for insurers and customers alike

Hear from:
- David Vanalek, SVP Chief Legal and Compliance Officer, Richmond National
- Tendü Yoğurtçu PhD, Chief Technology Officer, Precisely
- Patrick Cieslak, Head of Disability Income and Long-Term Care Claims, MassMutual U.S.
- Moderator: Chris Frankland, Founder, InsurTech360

This webinar is brought to you in association with Precisely. By registering you agree to share your information with this organisation.

Generative AI and claims processing: Making sense of the data

Today's insurers are faced with increasing customer demands and an accompanying need to increase speed with straight-through processing. In tandem with unprecedented access to client data, insurers must also manage an uncertain economic and regulatory environment and the need to maximize profitability and reduce overhead. In this context, the rise of Gen-AI and LLMs has emerged as a promising opportunity for claims professionals when it comes to processing large volumes of data and delivering a personalized client service. 
However, concerns exist within the industry around the impact of these technologies on the workforce, the ESG-related implications of the sheer compute power required to use them, in addition to safety and security compliance issues.


This webinar will explore the very real potential of GenAI and LLMs within insurance claims, while shining a light on the potential pitfalls facing insurers along the way as they implement these technologies.


Automate routine tasks and decision-making processes with Gen-AI to reduce the time it takes to process claims and boost retention
Use AI-powered document generation to assist in creating claim-related documents, such as letters of explanation, FNOL forms, settlement offers, and policy updates, reducing manual paperwork and ensuring consistency in communication
Transform fraud detections: Utilize AI models to analyze historical data and patterns to identify potentially fraudulent claims and reduce losses
Addressing concerns, managing risk and identifying potential pitfalls when it comes to the implementation of these technologies


Hear from:
- Shawn Crawley, Chief Operations Officer, North American Claim, Sompo International
- Sean Duffy, Executive Vice President & Chief Claims Officer, Skyward Insurance
- Lisa Wardlaw, President / Founder, 360 Digital Immersion

This webinar is brought to you in association with Expert AI. By registering you agree to share your information with this organisation.

Gen-AI and Large Language Models in Claims: Embracing Potential, Managing Risk

Gen-AI

Claims

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Gen-AI and Large Language Models in Claims: Embracing Potential, Managing Risk

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