
Article
Rapid growth in data center construction, spurred by AI advancements and cloud demand, creates interconnected risks for developers. However, with effective risk management solutions, navigating this dynamic market while prioritizing sustainability is possible.
A well-structured open enrollment process is one that leverages innovative technology, encourages cost-effective use of healthcare resources and reduces unnecessary spending — benefiting both employees and employers.
Organizations in EMEA face unprecedented challenges as cyber threats become more sophisticated. In the face of emerging AI, evolving regulations and geopolitical tensions, businesses should strengthen their resilience to better navigate the complexities of the digital age.
Business leaders are aware of AI-driven cyber risks and their implications. But understanding changing risk profiles to make better decisions around the management of new exposures is the key to cyber resilience.
Artificial intelligence is having a measurable impact across all aspects of HR — from talent management to compensation, health and benefits, and retirement planning. To effectively harness the technology, HR leaders must ensure both their own teams and the wider workforce are prepared.
While advancements in AI, cyber and data technology are helping companies operating in an increasingly digital world gain a significant competitive edge, they also introduce new and evolving risks.
On July 19, 2024, the CrowdStrike outage became one of the largest IT events in history, impacting businesses and customers around the world. Leaders now have an opportunity to reexamine technology dependencies and business continuity plans to mitigate similar risks in future.
Episode
80Episode 80: Aon experts discuss the impact of the CrowdStrike incident and the cyber and supply chain lessons learned.
(Re)insurers must embrace AI technology to successfully navigate today’s emerging transformative trends that are shaping the insurance landscape.
As AI evolves, directors and officers must maneuver through a complex landscape of regulatory and legal risks. Implementing best practices around the use of AI and robust governance-focused risk mitigation can help manage exposures.
As data becomes more advanced and precise, so does parametric insurance as a risk solution — a win-win for both risk managers and insurers.
Now more than ever, the reinsurance industry needs insight. But it is still slow to implement advanced data and analytics.