AI and machine learning are proving to be the only methods in which organizations will meet customer demands at scale and as the race to win customers' heart becomes tighter than ever, carriers are having to compete with tech giants for AI's vital ingredients: talent and data. Which is why the Insurance Analytics Canada Summit (Sep 25-26, Toronto) is bringing together the industry's heavyweights to discuss how AI and advanced analytics can be utilized to deliver unparalleled performance, business growth, and truly actionable insights. Over 300 senior executives will delve into new strategies for embedding analytics insights that will supercharge performance, accelerate underwriting, fast-track claims, and ultimately deliver greater returns in a highly competitive insurance market. To find our more, visit the website: http://bit.ly/2z4auJJ To save $200 on your ticket, simply enter the discount code 4954GBFR200 when registering.

While the vast majority (94%) of Canadian insurance professionals surveyed believe that artificial intelligence (AI) will transform the insurance industry, the jury is still out on whether carriers are receiving a return on investment from analytics yet. Insurance Nexus released Tuesday the results of what it is calling "Canada's first insurance analytics and AI survey," a poll of 250 industry professionals. When asked if carriers have seen a return on investment from analytics yet, 12% responded that they are seeing a "healthy return," while 24% said that they aren't seeing a return yet. Thirty-six per cent said that they are beginning to see a return, 12% expected to see a return this year and 16% said that they might not see a return for over two years. "The result highlighted a reality that a substantial proportion of companies have not seen ROI from analytics yet," said Eugene Wen, Vice President of Group Advanced Analytics at Manulife Financial.

The insurance industry has always used analytics and insights as a key competitive advantage, and there have been significant advances in growing analytics capabilities in recent years. However - analytics is set to take a huge leap forward. Machine learning and artificial intelligence has the potential to completely transform an entire insurance organization, but where and how can machine learning be practically applied by insurers? Insurance Nexus recently spoke with executive insurance leaders from AIG & Zurich Insurance to understand just that. Check out the full whitepaper, "Anything You Can Do, AI Can Do Better: Insurance Applications for Machine Learning" (1.fc-bi.com/LP

AI and Machine Learning was voted the most transformative analytics tool for insurance. In fact, 94% of respondents agreed that AI is going to have a medium or significant impact on analytics. AI is going to hit insurance big time – so you need to ensure you're prepared for the future. One way to do this is to check out our newly released "AI, Analytics and GDPR Survey 2017", where we quizzed 250 of the brightest minds in insurance. By reading it, you'll get the low-down on the latest trends in analytics, AI and GDPR and be able to adjust your strategy accordingly.

The insurance industry has always used analytics and insights as a key competitive advantage, and there have been significant advances in growing analytics capabilities in recent years. However - analytics is set to take a huge leap forward. Machine learning and artificial intelligence has the potential to completely transform an entire insurance organization, but where and how can machine learning be practically applied by insurers? Insurance Nexus recently spoke with executive insurance leaders from AIG & Zurich Insurance to understand just that. Check out the full whitepaper, "Anything You Can Do, AI Can Do Better: Insurance Applications for Machine Learning" (1.fc-bi.com/LP