Unearthing the emerging risks of tomorrow…
Combining the right data, AI algorithms and APIs to shape new business models
According to O.R.X., the top three risks in the banking sector in 2020 are climate change, AI and operational resilience. According to Willis Towers Watson, the top three most dangerous risks faced by insurance company executives are cybercrime, disruptive technology, and pricing and profit. Disruptive technology leaders know the challenges they face. The question is how to solve them.
The disruptive leader needs accurate data, algorithms and emerging tech
Although incumbents recognize the need to evaluate future risks – known and unknown – too often they are forced to rely upon historical data. Insurance businesses and financial firms must improve their ability to assess current and future risks on an individual and aggregated portfolio basis. Only then can they determine the impact of new scenarios and make accurate growth predictions.
This entails being able to access new data sets, advanced algorithms and extensive emerging and evolving technologies to quickly adapt business model strategies and operations as needed.
Find out more
Discover how change leaders can accelerate their use of unique data sources and adapt internal operations to meet tomorrow’s needs…