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Digital Insurer 2.0 - New wave of digital, analytics, and automation trends in the insurance industry

Insurance companies are operating in a rapidly changing environment, dealing with additional regulatory challenges and changing consumer behavior. They have to compete not only with other traditional companies in the industry, but also with disruptive start-ups.

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Simplifying Insurance with Automation

Business process automation strategies can bring a lot of relief to insurance companies facing issues due to declining interest levels and uncertainty in contract approvals. It helps mitigate the compounding issues they will otherwise face if, due to these issues, they are unable to meet their customer expectations.

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Creating a differentiated experience with a digital strategy

At a time when most companies are gearing up to integrate digital, the key goal that insurance organizations should have is to offer a differentiated experience. It is important that they create a differentiated identity in the market.

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Big Data, Analytics, and Business Intelligence: Making the Industry Future-Ready

Business process automation strategies can bring a lot of relief to insurance companies facing issues due to declining interest levels and uncertainty in contract approvals. With business automation, insurance companies can become agile to transformations in the industry and continue to deliver on their promise of high quality service.

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Opening the Gateway to a Smart Insurance Future with Digital

The insurance industry is undergoing a transformation with strong undercurrents being powered by digital innovation. Digital, being all-pervasive, has a place in every aspect of an insurer’s organizational structure, product and service development and delivery, and most importantly, in reshaping its relationship with the customer.

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Omni-Channel and the Internet of Things

Insurers pursuing the goal of customer-centricity are now waking up to the reality that requires an omni-channel approach. By integrating Internet of Things (IoT), which comprises connected devices, people and machines, in the organization’s IT infrastructure, insurers can experience great benefits.

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Big Data Analytics: It’s Transformational Impact on the Insurance Industry

The insurance industry runs on data, and the success of its business model is based on analyzing data to evaluate information and take appropriate decisions. Granted, insurers have traditionally been...

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Rise of Digital Insurer

Every customer-facing industry is witnessing a wave of technological and digital innovation, which is creating new, potential access points for the convenience of the end user. These ‘digital disruptors’ can be enormously beneficial for both the company and the customer.

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The dynamic journey of risk needs evolving framework of insurance

Risks that are not pure in nature are considered speculative. Current norms dictate that insurance products are not offered for such risks. This paper explores the need for a new type of risk called non-pure and non-speculative risk. It attempts to differentiate between speculative risk and non-pure and non-speculative risk to help understand and design new insurance products.

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Exploring a new dimension of predictability in insurance

This paper focuses on a solution for variances between predictable outputs versus actual results. Once the assumption of risk is completed, we have data available for variances between estimated output and actual result. This variance is a natural risk parameter that cannot be predicted. As the data set for this parameter goes up, the law of large numbers will apply and predictability will improve. This approach can improve our risk pricing mechanism, once we model it appropriately.

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Spectrum: An Infosys insurance thought leadership journal

Spectrum is a thought leadership initiative by the Infosys Insurance unit, spearheaded by Infosys Insurance practice. We are excited to share with you inventive ideas and expert views from our very own subject-matter experts and technical architects. We bring forth our perspective on trends and challenges pertaining to emerging technologies, evolving business processes and shifting insurance market dynamics.

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Accelerate digital connectedness through API management

In the near future, connected auto, connected home, and connected consumer will become passwords to success for insurers. Effective application program interface (API) management is key for the digital insurer to bridge these different dimensions. API management will also help insurers provide individualized, usage-based, and effective services to consumers.

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Big data analytics: New whistleblower on insurance fraud

As fraudsters become smarter in using technology advancements to their benefit, traditional methods of fraud detection often fail to identify these sophisticated attempts. Insurers must adopt new technologies in a big way to stay a step ahead of these disruptive elements and prevent insurance crime. This paper discusses the role of big data analytics in detecting insurance fraud.

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Digital Insurer – driving change through better customer experience

Insurers have had to embrace change in order to thrive in today’s digital world. By leveraging digital technologies, they will be able to deliver effective consumer engagement resulting in highly productive relationships.

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M-Health: Challenges, benefits, and keys to successful implementation

The paper outlines various M-Health applications for providers and members; opportunities for payers with M-Health; challenges associated with implementing M-Health; and recommendations to overcome these hurdles.

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The BPM path to profitability in insurance

In today’s digital era, it is essential to not only acquire new customers, but also retain them. The insurance industry needs to evaluate solutions that address the challenges of increased customer churn, reduce operational costs and generate forecasted profits. This paper discusses key insurance processes – lead management, underwriting, and claims to illustrate business benefits that can be achieved by adopting business process management (BPM).

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Leveraging big data analytics into a competitive advantage for insurers

The amount of data available to organizations today has grown manifold, thanks to the large-scale changes afoot in the way consumers communicate. However, having access to rich sources of data does not always mean it enables effective decision-making. Finding the right blend of what, why, and how to use this large amount of data needs attention in today’s competitive business environment.

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Architecting the real-time enterprise: Dynamic auto insurance

In traditional auto insurance, policies are priced based on certain parameters such as garaging address and the number of drivers. However, parameters such as driving behavior, terrain, time of day, traffic, and weather are not considered. One chapter in the book ' Architecting the real-time enterprise' details telematics powered by real-time data analytics, so insurance providers can offer policies that are personalized and priced in real-time based on usage, driving behavior etc.

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