Digital Insurance Agenda
Dun & Bradstreet – Leading data and analytics for a Digital Insurance Industry

Dun & Bradstreet – Leading data and analytics for a Digital Insurance Industry

...data-driven insurers and brokers, Dun & Bradstreet delivers data in packages called Data Blocks. This is a logical, topic-based grouping of data elements from the Dun & Bradstreet Data... Read More ➞

Data-Driven Value Creation: Opportunities & Challenges

Data-Driven Value Creation: Opportunities & Challenges

...lie in data security and data regulation. Many companies struggle with enhancing data without putting the customer’s data rights in jeopardy. Jonathan Larsen: “Data sovereignty, data security but also... Read More ➞

SkenData – Making building valuation faster, digital and green  

SkenData – Making building valuation faster, digital and green  

...business must be rethought for insurers, banks and the housing industry. This is how the foundation of SkenData was born” Sven Jantzen, CEO SkenData GmbH  Learn more about SkenData... Read More ➞

Adacta’s AdInsure: fast-track to data-driven insurance with a modern insurance platform

Adacta’s AdInsure: fast-track to data-driven insurance with a modern insurance platform

...increase the amount of data collection but to also make that data actionable for economic benefit. Yet data comes from different sources, like car data platforms, and insurers struggle... Read More ➞

Planck: AI Powered Data Platform for Commercial Insurance

Planck: AI Powered Data Platform for Commercial Insurance

Historically, data carriers provide static bulk data to insurers, leading to a one-size fits all underwriting approach. This approach prevents underwriters from extracting meaningful insights and perform comprehensive risk... Read More ➞

The future of car insurance: leveraging connected vehicle data

The future of car insurance: leveraging connected vehicle data

...connected vehicle data, often form direct partnerships with OEMs. This is a smart move which allows them to access the vehicle data without the need of using 3rd party... Read More ➞

ICEYE: Sizing Flood Losses with Accurate Observation Data from Satellites

ICEYE: Sizing Flood Losses with Accurate Observation Data from Satellites

...requirements. This goes beyond radar imagery. ICEYE combines their data with a wide range of data from other sources, sophisticated analytics and machine learning, and other key components required... Read More ➞

Fadata: Making the world a safer place by empowering insurance innovation

Fadata: Making the world a safer place by empowering insurance innovation

...value. Fadata wants to be their long-term partner on the journey to build the future of insurance. Fadata’s solutions help insurers stay competitive in a rapidly changing digital economy,... Read More ➞

LifeQ –  Aging Well® using a 360 degree Health Mirror through biometrics data

LifeQ –  Aging Well® using a 360 degree Health Mirror through biometrics data

...markers for predicting mortality and morbidity to create a magnitude of new data points using AI modeling and traditional data analytics. We have combined these new data points to... Read More ➞

FintechOS: re-imagining insurance as personalized, data-driven, and embedded

FintechOS: re-imagining insurance as personalized, data-driven, and embedded

Insurance offered today, is not always relevant or personalized for SME needs. It does not leverage the ample data an SME has and it is not offered through the... Read More ➞

SkenData: Digital portfolio & building valuation made easy

SkenData: Digital portfolio & building valuation made easy

...Co-Founder SkenData GmbH. SkenData Team at SkenData Team Days 2020. For further information about SkenData, watch their video special on DIA TV, visit their website or contact SkenData here... Read More ➞

Data Value in Insurance: Three Factors to Consider for Competitive Advantage

Data Value in Insurance: Three Factors to Consider for Competitive Advantage

...data analytics targeted to financial services and particularly insurers. Simply, for our purposes, we categorize them as either: data storage, data quality, reporting, data visualisation, artificial intelligence and advanced... Read More ➞

Videos from DIA TV about data

View all DIA TV videos on data ➞
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