As insurers grapple with severe weather and emerging risks, advanced location intelligence offers solutions for the P&C industry, according to Nearmap.
Kevin Rampe from Chubb shares insights on the future of claims management, focusing on the synergy between skilled professionals and advanced digital tools, the role of empathy in claims service, and the impact of data analytics on decision-making processes.
Amidst a fast-changing and complex risk landscape, successful P&C insurers should embrace risk mitigation, predictive modeling and AI tools and technology, a Capgemini report.
Emerging risks are always in mind for underwriters, but reinventing the wheel is rarely necessary to give brokers and insureds the new types of security they seek.
MedRisk’s newly appointed CEO, Sri Sridharan, talks to Risk & Insurance about the culture he leads and the vast amount of injured worker data his team has at its disposal.
Looking ahead to the future of cyber and privacy, this all-female attorney-led panel at In2Risk will dive deep into the unparalleled challenges of AI and quantum computing.
Interest in better wildfire detection and suppression is growing in the wake of massive fires in California and Australia — costly disasters that are expected to become more common as climate change makes some areas drier and hotter.
Falvey does a lot of work in the life sciences, and a lot of pharma business is centralized in a couple of areas around the country — including some in Tennessee, which recently experienced very damaging tornadoes.
Each year, Redhand Advisors releases an expansive report on risk management information software, identifying the key trends that are driving the sector.
Not too hot, not too cold – just right. It’s the philosophy Goldilocks applied to the three bears, and it’s the philosophy we should be utilizing when pulling together the best data set.
Increasingly, climate change is becoming a pervasive business risk that is perilous to ignore. Flood, drought, wildfire, severe windstorms, and other anomalous weather effects will likely jeopardize most every organization in time, whether directly or indirectly.
“A machine can build a bias without us knowing it. I mean, you feed it enough data, you can tell it to ignore racial profiles, but you never know how the machine does it.”
The four issues they were most excited about were new products and services; automation and the use of AI for improving underwriting performance; new data sources; and ESG considerations.
Rather than searching for permutations of claims characteristics in swathes of data, you tell the machine to look for claim cohorts that are experiencing unexpected development – and set it off to do the searching.
Coalition CEO Joshua Motta shares his views on the evolution of cyber insurance, insurance regulation and a number of additional topics with Risk & Insurance.