Digital Transformation Myths in Insurance

whitePaper | May 15, 2022

Sophos’ annual study of the real-world experience of IT professionals at the frontline has revealed how their experience of obtaining cyber insurance coverage has changed over the last year. It also shows the impact cyber insurance has had on their cyber defenses. With ransomware a major driver of both cyber insurance purchase and claims, the study also shines light onto how often cyber insurance policies pay out in the event of an attack and the types of costs that are addressed, including how often insurers pay the ransom.

whitePaper | April 6, 2022

The impact of the COVID-19 outbreak has been devastating for the global economy, and with many countries in extended lockdown, there has been a seismic shift in customer behaviour and business operations.

whitePaper | November 15, 2019

The proliferation of big data and artificial intelligence (AI) impacts practically every human enterprise and endeavor. The insurance industry is certainly no different, having historically thrived on developments in data, data analytics, AI and other information technologies. Insurance companies are taking advantage of the digital transformation to automate claims management processes, improve operational efficiencies, and increase the quality of service they deliver to customers with personalized marketing and recommendations. The ongoing race to conquer volumes of heterogeneous data and wring every bit of informational value out of raw intelligence will mean growing opportunities and inevitable challenges for insurers, the insured and most participants in the insurance sector.

whitePaper | June 16, 2022

Data has always been an important asset in the insurance industry, which is largely built on algorithms and financial models. Today, that is truer than ever before. Data can be analyzed to provide insurers with deeper business insights and the ability to target the right customers through the right channels with the right offerings in the right sequence. It also has opened the door to a growing group of digital natives and insurtechs that bring innovative ideas and solutions to help accelerate and improve the customer journey. Today, the advent of artificial intelligence (AI) is increasing the importance of data across the industry. AI is widely recognized for its potential to bring greater efficiency and innovation to the entire insurance value chain, from customer acquisition to claims processing, and for all stakeholders, including customers, agents and employees. However, effective AI depends on current, accurate and relevant data. AI is key to competitiveness, and data is key to AI.

whitePaper | August 3, 2023

It’s no secret that the global pandemic has upended everyone’s life. We know this anecdotally from our own experiences—more online shopping with curbside pickup orders, ordering takeout and delivery versus in-person dining, and changing media consumption. And let’s not forget remote working and learning. These experiences are more than simply anecdotal; McKinsey has written about the more specific effects of the pandemic on consumer behavior and needs. In short, they write: “behavior changes will reshape consumer decision journeys and companies will need to adapt fast.”

whitePaper | May 16, 2022

The combination of high-resolution aerial imaging and artificial intelligence has practical applications for multiple use cases, such as manufacturing defects detection, environmental impact studies and planning, urban vegetation mapping, and precision agriculture. Now, as major natural disasters have increased, the insurance industry is using aerial imagery and AI for damage assessment. This is part of an expanded focus on post-event analysis that uses data, AI, and analytics to understand risk mitigation. Aerial imagery and AI can help address varying spectral bands of resolutions and other factors that the human eye cannot easily connect.