What your business clients need to know about generative AI risks
May 4, 2023 by David GambrillCommercial brokers and insurers should alert their business clients to new liability risks around intellectual property (IP), copyright and licensing associated with using generative artificial intelligence (AI) technologies like ChatGPT, Dall-E and Bard. “Generative AI is a type of artificial…
AI’s new risk: How brokers and insurers can protect clients
February 28, 2022 by Alyssa DiSabatinoData automation has created an emerging risk: AI can develop unintended biases within its own data that can yield unfair results and potentially harm a client’s business. Although it’s not the only risk associated with AI, the potential for a…
How to cover a client’s artificial intelligence product
February 25, 2022 by Alyssa DiSabatinoIn an ever-evolving digital world, artificial intelligence — a technology that mimics human cognition by learning from experience, identifying patterns and deriving insights — is becoming widely adopted by companies. In fact, AI adoption has skyrocketed in the 18…
Here’s what you need to do before deploying artificial intelligence
June 30, 2021 by Greg MeckbachBrokers wanting to take advantage of artificial intelligence and machine learning need large amounts of data and to hire the correct experts. If a company wants to effectively build and deploy artificial intelligent and machine learning systems, it needs a…
Brokerages will need these new skill sets
May 10, 2021 by Greg MeckbachTo compete in a digital world, the insurance industry needs to hire data scientists and computer programmers, Virtual Symposium B.C. attendees heard last week. “Every insurance organization is going to look at new roles that they never had before,” said…
When humans team up with machines, P&C innovation wins
May 4, 2021 by David GambrillDebates about whether humans or computers are at the centre of innovative insurance products are a red herring — the best way to build an insurance product is an integrated approach using the best of what humans and machines have…
How you can cut down time spent searching underwriting manuals
October 5, 2020 by Greg MeckbachSome brokerage staff members could be spending hours each day just searching for information in their carriers’ underwriting manuals – time that could be put to better use, the head of a technology vendor suggests. Some of the longest underwriting…
Why it’s hard to make telematics ‘commercially viable’ in Canada
August 13, 2020 by Greg MeckbachIf regulators continue to prohibit auto insurers from imposing surcharges when they detect risky driving behaviour through telematics, it will be difficult for usage-based insurance to be commercially viable, an Aviva Canada data science expert suggests. “Telematics is a good…
Why regulation holds auto insurers back from using advanced modelling
August 4, 2020 by Greg MeckbachAuto insurers could potentially use artificial intelligence to improve risk segmentation but some of the newer modelling techniques may not be a good fit with the way rates are currently regulated, a data science expert for one insurer suggests. Ontario’s…
The business processes you should automate now
July 17, 2020 by Greg MeckbachInvoice processing and after-hours self-service are among the processes you could be automating today with advanced computing technologies. Aviva Canada has automated the reconciliation of invoices, the company’s chief claims officer, Bryant Vernon, reported during a Canadian Underwriter webinar Thursday.…
How insurtech Lemonade’s IPO is going so far
July 3, 2020 by Greg MeckbachDespite the pandemic-induced economic downturn, an insurtech that promises tenants quotes within minutes started trading this week on the New York Stock Exchange. Shares of Lemonade Inc. rose sharply July 2, closing at US$69.41, more than double the price at…
How the industry can take advantage of artificial intelligence
June 18, 2020 by Greg MeckbachBrokerages who use artificial intelligence could find opportunities to upsell based on changes in a client’s lifestyle, according to a software vendor executive. The more data you feed a machine learning model and the more you train it, the better…