SPECIAL BROADCAST
Data-driven insurance offerings: the transformational potential
A THREE-PART SERIES
This discussion brings insights on how insurers can overcome the common data hurdles and re-think their approach to data and AI across the insurance value chain.
From the growth in ‘always on’, prevention-based models to the use of AI in handling complex risks and claims, the transformational potential of data-driven insurance is huge. Both commercial and personal lines carriers must ready themselves for an increasingly open data ecosystem in which success in product, pricing, claims and customer engagement will hinge on their ability to design a comprehensive data strategy.
Elizabeth Barth-Thacker
VP, Head of Data & Analytics
American Modern
Grace Hanson
Chief Claims Officer
Hippo
Hobe Bond
Senior Product Manager Commercial Lines Telematics & IoT
Nationwide
Hemant Sarma
SVP, Head of Internet of Things
Chubb
Tim Crowe
Director of Insurance Solutions
Eigen Technologies
Ian M Thompson
Group Chief Claims Officer
Zurich Insurance Company
EPISODE 1
Becoming an open, intelligent, data-driven insurer
Thriving in the new data ecosystem: turning the vision into a reality
KEYNOTE
A vision for the future of insurance in a connected landscape
- The evolution of ‘predict and prevent’: how is IoT transforming the insurance proposition?
- What new models, products and services will emerge in an ‘always-on’ landscape?
- What steps need to be taken to prepare for processing and analyzing an influx of data?
- Protecting security and customer privacy: how can insurers become trusted custodians?
Hemant Sarma, SVP, Head of Internet of Things, Chubb
PANEL DISCUSSION
Designing a data strategy fit for the new ecosystem
- Adding value in a commoditized landscape: what role will data play?
- How ‘open’ will data become? What new data streams might become available?
- How must insurers evolve to capitalize on new data flows?
- Prospering in the new data ecosystem: what new data standards need to be set?
- Embedding data skills throughout the organization: what are the keys to success?
- How can the industry overcome the challenges of integrating new, unstructured data?
- What steps need to be taken to handle multiple sources and formats in real-time?
- From the industrialization of AI to the rise of digital twins: towards more accurate modelling
Grace Hanson, Chief Claims Officer, Hippo
Elizabeth Barth-Thacker, VP, Head of Data & Analytics, American Modern
Hobe Bond, Senior Product Manager Commercial Lines Telematics & IoT, Nationwide
Tim Crowe, Director of Insurance Solutions, Eigen Technologies
EPISODE 2
Unlocking richer data possibilities in underwriting
Boosting competitiveness and futureproofing carriers for the future risk landscape
KEYNOTE
Towards speedier and more accurate underwriting of complex risks
- The future of data-driven decision making: what capabilities could AI unlock?
- How can underwriters deal with complexity and heterogeneity in increasingly real time?
- To what extent is parametric the solution to large complex risks?
- From automating workflows to rapid quality assurance: what could the future look like?
Hobe Bond, Senior Product Manager Commercial Lines Telematics & IoT, Nationwide
PANEL DISCUSSION
Futureproofing data strategies for a changing risk landscape
- From catastrophe to cyber: what do the risks of the future look like?
- Building resilience against new risks: how can AI help?
- From geospatial data to computer vision: which data sets will be most transformative?
- Data-driven underwriting: how far can the personalization of pricing go?
- Securing fair outcomes: how can carriers ensure pricing models remain unbiased?
- How is AI changing the role of the human underwriter?
- How might be the predict and prevent model impact the underwriting department?
Grace Hanson, Chief Claims Officer, Hippo
Elizabeth Barth-Thacker, VP, Head of Data & Analytics, American Modern
Hobe Bond, Senior Product Manager Commercial Lines Telematics & IoT, Nationwide
Tim Crowe, Director of Insurance Solutions, Eigen Technologies
EPISODE 3
Overcoming the data hurdles in claims
From routine to complex claims: tapping into data to deliver the ultimate customer journey
KEYNOTE
Insurance in the age of personalization: aligning data and technology
- Towards personalization: what could the future of insurance look like?
- Towards real-time insight: what levels of personalization will customers come to expect?
- From RPA to advanced analytics: where does AI have the most transformative potential?
- Overcoming legacy: how will insurers need to prepare for the digital age?
Ian Thompson, Group Chief Claims Officer, Zurich
PANEL DISCUSSION
Transforming claims handling with next-stage data strategies
- From ML to computer vision: how can new technologies be leveraged most effectively?
- Data sharing in the claims’ ecosystem: how can this improve resolution times?
- How can carriers best utilize new data sources to enhance the claims experience?
- Where are the main data hurdles in claims and how can the be overcome?
- Unstructured data: why is it becoming more important and how can it be utilized?
Grace Hanson, Chief Claims Officer, Hippo
Elizabeth Barth-Thacker, VP, Head of Data & Analytics, American Modern
Hobe Bond, Senior Product Manager Commercial Lines Telematics & IoT, Nationwide
Tim Crowe, Director of Insurance Solutions, Eigen Technologies
This broadcast is sponsored by Eigen Technologies
Eigen Technologies is a global intelligent document processing company whose mission mission is to supercharge the way organizations operate by unlocking the value of their unstructured data. The Eigen® no-code AI-powered platform enables users to accurately extract information from documents at scale. The result is usable accurate data that powers faster, smarter decision-making across your organization. Clients use Eigen to drive down costs, decrease time to value, improve data quality, automate workflows, calculate risks, meet reporting requirements and more.
Our clients include Goldman Sachs, Swiss Re, Aviva, Hiscox, and ING. Investors include Goldman Sachs, Temasek, Lakestar, Dawn Capital, and ING Ventures.
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