This is a taster of an article published in the latest edition of EXPOSURE magazine. For the full article click here or visit the EXPOSURE website.
With the main benefits of Cloud computing now well-established, EXPOSURE explored why insurance and reinsurance companies have demonstrated some reluctance in moving core services onto a Cloud-based infrastructure.
While a growing number of insurance and reinsurance companies are using Cloud services (such as those offered by Amazon Web Services, Microsoft Azure and Google Cloud) for nonessential office and support functions, most have been reluctant to consider Cloud for their mission-critical infrastructure. Simply moving a legacy offering and placing it on a new Cloud platform offers a potentially better user interface, but it’s not really transforming the process.
EXPOSURE also asked whether now is the time for market-leading (re)insurers to make that leap and really transform how they do business, embrace the new and different, and take comfort in what other industries have been able to do.
The effective use of data is so important to every insurance business — especially as big data and analytics are seen as a “silver bullet” for transformation. But to get on this transformative journey, your approach to data in your business may have to change. The traditional view of data focuses mainly on data collection and storage: how to collect, store, access and arrange the data, with rules and procedures to achieve this.
There is a tendency to separate data from analytics. If you think of data analytics, the image may be of the hard-pressed team of analysts and IT specialists, working to tight deadlines, “mining the data” to deliver the core reports that the business needs.
If any of the above rings true, you may need to change your mindset. First, for data collection and storage, the cloud has revolutionized the way data is stored, accessed and managed, offering high capacity and high availability, all typically on a pay-as-you-use basis. Historically, this is where much of the investment in this area went. But with the cloud, the burden has lifted as businesses now do not need to become experts in data storage or to plan, build and manage data centers, which were seen as critical in-house infrastructure in the past.
With Exceedance 2018 coming May 14 – 17, we have lined up an interesting group of keynote speakers who will be onstage to provide their insights, ideas and inspiration. This year’s topics include:
Day 1: Earth, Wind and Fire
Our day one general session will focus on how we have leveraged lessons learned to bring new advances in model science and technology that enable (re)insurers to better manage and capitalize on catastrophe risk:
This blog was originally published on InsurTech Gateway by Hambro Perks, click here for the original blog.
It is a fascinating time to work in the risk analytics business.
Traditional risks are changing, with much of this change being driven by technology. From the challenges posed by autonomous vehicles to the rapid digitization of the “smart home”, with automatic detection of threats such as fire and theft, systems are getting smarter and risks are changing.
Other types of traditional risk however still offer tremendous opportunities — last year’s storms in the U.S. have shown that even in one of the world’s most established insurance markets, uninsured losses are still a major problem. Barely half of the losses from Harvey, Irma and Maria were insured — the rest lies with the uninsured victims of the disaster, or if they are lucky, with the federal government who will help them rebuild.
This “protection gap” between those who have adequate insurance and those who do not, represents both a huge societal challenge, and a massive opportunity for the insurance market.
Look around and you see the financial services industry being transformed by a newfound ability to tap into a vast amount of data, right at their fingertips. Where business decisions were reliant on intuition and experience, and transactions underpinned by the strength of relationships, data analytics now drives everything from credit rating to complaint handling, from social media-driven marketing to employee performance monitoring.