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How Exton's iPipeline innovates in slow-changing insurance industry
JOSEPH N. DISTEFANO | January 5, 2018
Brokers are at the heart of our business. Our ambition is to be recognised as the best insurer for brokers, the insurer you most trust and the relationship you most value.
Article | March 27, 2020
Hiring people with skills in machine learning is extremely difficult across industries due to a shortage of talent and skyrocketing demand. But the insurance industry is better positioned than most to overcome this challenge via upskilling. With tens (possibly hundreds) of statistics-minded actuaries already on staff, providing the right tools to nudge them into the world of data science is a small step. Upskilling business staff is also a great way to fill talent gaps, and in many ways, it’s necessary for insurance businesses that want to democratize data science.
Article | March 13, 2020
The losses and costs resulting from the outbreak of coronavirus are estimated to be in the enormous sum of four trillion US dollars – but we don’t see this as reason to panic. Thanks to a mobile-first approach, technical infrastructure and direct sales, insurtechs are protected against the crisis and, right now, they are one of the most promising business models, in one of the largest markets in the world. The developments surrounding coronavirus could therefore even be described as a catalyst for insurtechs. Crises reveal how strong a digital business model is. And coronavirus in particular demonstrates the extent of the technological lead over traditional insurers.
Article | March 10, 2020
The first chatbot, called ELIZA, was built in 1966 by MIT professor Joseph Weizenbaum. It used a pattern matching system to simulate a human conversation and gave a series of scripted responses designed to have it play the role of a therapist. Today, chatbot technology is a vital part of the way that companies across a myriad of sectors interact with their customers, with applications covering everything from content delivery to conversational ecommerce. By 2025, the global chatbot market is expected to reach $1.25bn.
Article | February 11, 2020
In 2010, with the launch of the Image Net Competition, a vast dataset of about 14 million labeled images was made open-source to inspire the development of cutting-edge image classifiers. This was when Deep Learning technology got it’s a real breakthrough and since then there’s been no looking back for advancements in this field.
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