Author: aiexaminer

Willis Towers Watson selects Relativity6 for predictive analytics

Platform will predict and optimise customer retention and win-back for Willis Towers Watson in Australia SUNNYVALE, Calif., July 12, 2018 /PRNewswire/ — Willis Towers Watson, a leading global advisory, broking and solutions company, and Relativity6, Inc., a machine learning and artificial intelligence (AI) insurance-technology company, today announced that Willis Towers Watson has selected the Relativity6 platform to predict and optimise customer retention and win-back. Brent Lehmann, General Manager Affinity & Commercial Australasia said the partnership with such an innovative technology company will help to ensure Willis Towers Watson remains competitive in the marketplace. “Relativity6’s product offerings are a good fit to accomplish our strategic objectives across the organisation, so we are very excited to partner with them to take full advantage of the data that we have accumulated within our core systems in Australia.” Alan Ringvald, Chief Executive Officer at Relativity 6, commented: “We are honoured to partner with such a distinguished organization. We believe that our solution will enable Willis Towers Watson to better serve their customers and ultimately drive significant top line revenue growth. We’ve engaged with top-tier insurers in the U.S. and Latin America, and this is a fantastic opportunity to expand our footprint with a truly global insurance broking brand.” This relationship was born of Willis Towers Watson’s partnership with Plug and Play, the world’s largest start-up accelerator and open innovation platform. Lehmann said that the aim of Willis Towers Watson’s participation is to help position the organisation at the forefront of...

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Artificial Intelligence Startup Acquisition Frenzy Continues

Artificial Intelligence Startup Acquisition Frenzy Continues If you pay attention to the artificial intelligence biz, you might notice two things: first, companies do not know how to market AI technology (click here, and here, and here, for, seemingly very expensive, attempts); secondly, that has not stopped companies from scooping up AI startups. Oracle just recently announced its acquisition of datascience.com. In its press release Oracle stated, “Oracle and DataScience.com will provide customers with a single data science platform that leverages Oracle Cloud Infrastructure and the breadth of Oracle’s integrated SaaS and PaaS offerings to help them realize the full potential of machine learning.” To learn more, click...

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Why Incumbent Insurers are Losing Customers to Startups.

Insurance startups are not a new concept. Large insurers have been partnering with tech companies like Guidewire (NYSE: GWRE) and Duck Creek (Private) for years in order to digitize their data and increase operational efficiencies. Recently, a new class of “insurtech” companies have been threatening large insurers by eroding their market share a little at a time. These companies offer unique product lines and user friendly purchase options, that target younger customers. These startups have already gained traction in an industry primarily known for venerable, old institutional players (Lloyd’s of London is 330 years old!).  These startups, companies like...

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How Dynamic Routing Between Capsules will affect Insurtech

Geoffrey E. Hinton, the Godfather of Machine Learning, best known for pioneering advances in deep learning and backpropogation, recently shook up the world of Machine Learning by publishing findings on a new approach to the image classification problem. Hinton is challenging the world he’s helped to create, to entirely rethink its approach. The limitations of CNNs (Convolutional Neural Networks), the primary tool in image classification, have been understood for years. CNNs are effective for classifying images when they are placed in a consistent position.   CNNs run into issues when classifying images which are positioned differently, either upside down...

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MIT’s Andrew McAfee and Erik Brynjolfsson release “Machine, Platform, Crowd:Harnessing Our Digital Future”

We live in strange times. A machine plays the strategy game Go better than any human; upstarts like Apple and Google destroy industry stalwarts such as Nokia; ideas from the crowd are repeatedly more innovative than corporate research labs. From the authors of the best-selling The Second Machine Age, MIT’s Andrew McAfee and Erik Brynjolfsson, a leader’s guide to success in a rapidly changing economy. This book is definitely worth a read if you want to stay on top of growing Machine Learning and Artificial Intelligence industry. Check it out on...

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