Artificial intelligence (AI) and machine learning have come a long way, both in terms of adoption across the broader technology landscape and the insurance industry specifically. That said, there is still much more territory to cover, helping…Continue
Added by Karin Golde on February 22, 2021 at 1:00pm — No Comments
"Fintech" describes the new technology integrated into various spheres to improve and automate all aspects of financial services provided to individuals and companies. Initially, this word was used for the tech behind the back-end systems of big banks and other organizations. And now it covers a wide…
Added by Yulia Kondratyuk on October 26, 2020 at 1:00am — No Comments
Artificial intelligence (AI) seemingly has been discussed everywhere over the last few years, and now it’s made its way into the commercial insurance industry. Organizations are using AI and machine learning for everything from streamlining operations to offering more personalized care and better customer service. There is an increasing sense of urgency about getting started on the AI journey. The question is how. Do they develop a custom solution in-house or purchase a third-party solution…Continue
Added by Ji Li on May 2, 2019 at 3:00pm — No Comments
The insurance industry – one of the least digitalized – is not surprisingly one of the most ineffective segments of the financial services industry. Internal business processes are often duplicated, bureaucratized, and time-consuming. As the ubiquity of machine learning and artificial intelligence systems increases, they have the potential to automate operations in insurance companies thereby cutting costs and increasing productivity. However, organizations have plenty of reasons to resist…Continue
Added by Denys Harnat on August 28, 2018 at 3:35am — No Comments
The insurance industry is regarded as one of the most competitive and less predictable business spheres. It is instantly related to risk. Therefore, it has always been dependent on statistics. Nowadays, data science has changed this dependence forever.
Now, insurance companies have a wider range of…Continue
This post highlights a number of important applications found for deep learning so far. It is well known that 80% of data is unstructured. Unstructured data is the messy stuff every quantitative analyst tries to traditionally stay away from. It can include images of accidents, text notes of loss adjusters, social media comments, claim documents and review of medical doctors etc. Unstructured data has massive potential but has never been traditionally considered as a source of insight before.…Continue
Added by Syed Danish Ali on June 26, 2016 at 5:00am — No Comments
Consistency is critical to business since it ensures results that can be tangibly seen. In insurance industry, the policy is profitable for the insurer only when the policy persists within the insurers’ portfolio for a certain period of time. Typically Life insurance has a longer persistency period to recover the costs and become profitable compared to a general insurance portfolio.…Continue
Added by Aureus Analytics on November 19, 2015 at 10:00pm — No Comments
As part of a deeper dive into domain specific analytic careers, we are exploring the Insurance industry. The below data & charts gives context & explains the opportunities for an analytics careers in Insurance.
Our first examination involved analyzing the top insurance companies hiring for analytics related positions. The below chart shows the open job postings where the title was “Data Science” or “Analytics” or “Actuary” & plural or related word. We found a total of 185…Continue
Added by Vozag on April 24, 2015 at 1:44am — No Comments
Relationships are built on trust and mutual understanding – if a company wants customers to trust them with their data, the company must foster that trust. Data governance and sensitivity about your customers’ data must be enforced internally and communicated externally – to your customers.
Added by Ben Gold on April 22, 2013 at 11:30am — No Comments
Relationships are built on trust and mutual understanding. Building a 360 degree customer data profile facilitates the marketers’ understanding of their customers. This in turn, helps marketers provide their customers the best experience and service, target product offerings, and produce relevant communications. The key to building a 360-degree customer profile is aggregating as much relative data as possible. Centralizing the 360-degree profile in an easily accessible and robust…Continue
Added by Ben Gold on April 17, 2013 at 11:30am — No Comments
Excellent customer communications is now a recognized component to drive sales and give Insurance companies the competitive advantage. Here are some tips when utilizing analytics to solve marketing solutions while keeping the customer in mind:
Added by Ben Gold on January 10, 2013 at 12:00pm — No Comments