Tag: Quantexa

After more than five years of hard market conditions, the insurance sector is now shifting into a soft market. This shift means firms will need to change their strategies to ensure they can stay competitive and profitable. Quantexa VP Insurance Alex Johnson believes Contextual AI and Decision Intelligence is the key to achieving this.

Key European InsurTech investment stats in Q1 2025: European InsurTech funding decreased by 7% YoY in Q1 2025 UK dominated the European InsurTech deal...

Key European InsurTech investment stats in Q1 2025: European InsurTech funding decreased by 7% in Q1 2025 YoY Trend analysis showed a projected 10%...

Supply chain stakeholders, including businesses and individuals, are grappling with an increasing array of regulatory, financial, environmental, and reputational risks, taking a holistic view to integrity risk has never been more important.

According to data and analytics software company Quantexa, insurers are taking on a single customer view strategy, however there are different interpretations of what this means.

Innovation in the insurance industry is not just important, it is essential. A more dynamic market has meant insurers are venturing into non-traditional sectors as well as looking for more advanced ways of serving existing markets. The industry must ramp up its innovation efforts if it is to tackle increasingly threatening risks, such as climate events and cyber-attacks.

For as long as insurance has been around, criminals have been committing insurance fraud. With increasingly sophisticated fraud activity, insurers are turning to artificial intelligence and machine learning. However, they must develop standards to prevent unfair discrimination and remove any bias in these technologies.

Quantexa has secured a powerful full year fiscal 2022 performance and has emphasised its 144% net retention rate and 70% increase in committed ARR across the year.

It has been said AI is not a silver bullet to all the insurance industry’s shortcomings. So, what’s all the chatter about? Where is it best suited, and what (if any) are its limits?

The insurance industry has paid lip service to AI and machine learning for some time. However, adoption has been underwhelming. As firms come under intense pressure to meet changing customer demands, could this instigate more rapid AI adoption?