Deferred taxes and the new investment tax law

Insurance Technology

Article | July 20, 2022

Insurance customers look for result-driven insurance services and products. To meet those demands and grow revenue, insurers need to move beyond conventional methods and envision their insurance business' customer interaction as aiding in the management of product and service deliveries. This necessitates a cloud-based strategy for future-ready operations. This is where the concept of cloud insurance comes into play. Insurers are receiving signals that the moment has come to invest heavily in the cloud ecosystem. But how? Read about it in the following points. The revenue landscape is shifting Investing in cloud infrastructure allows insurers to gain a competitive advantage in new revenue streams. In addition, it depicts a protected sphere where all the insurance business operations are risk-free, free of cyber risks and intrusions. Digital distribution appeals to customers and capital Customer-centric innovations, such as product distribution or cloud-enabled services, draw investors' attention. This results in increased revenue production. Why is There a Need for Cloud Insurance Solutions for Businesses? Insurance businesses face numerous obstacles in a continually shifting market position each day. As a result, insurance companies must primarily respond to the demanding and rising needs of customers. Cloud technology provides accurate solutions for the same. Let's look at the need for cloud solutions amid the trending approach. Customers expect personalized products, services, and experiences to support chosen communication channels like social media, a website, or a portal. Consequently, insurers need to improve their “speed to market” approach, which is possible through cloud technology and provide competitive products and services. Furthermore, sales growth remains under constant pressure. As a result, cost reduction is another eye-catching feature for insurance companies. By streamlining procedures and operations under one roof, decentralized, and digitalized, cloud insurance best suits to decrease costs and expenditure. Not to forget, globalization demands insurance businesses be more flexible and agile to win new markets and obtain new prospects. Cloud insurance infrastructure solutions are critical today and, in the future, to achieving all of these objectives. The Insurer’s Viewpoint is Critical for Success According to the report, leaders are more likely to use Cloud SaaSs, big data, AI and machine learning, and the Internet of Things (IoT). However, given the findings of the aforementioned study, it is clear that moving to the cloud is merely a baby step on a long journey of technological advancement. Cloud computing has emerged as a critical tool for digitization, and the significant challenges posed by the COVID-19 issue have highlighted the benefits of cloud computing." Peter Heidkamp, Head of Technology at KPMG. The Internet of Services and SaaS as a service is particularly appealing to insurance businesses when it comes to cloud insurance (SaaS). In addition, SaaS licensing options allow customers to obtain software to reduce internet and operational costs. The real use cases or benefits of the cloud are: Business scalability and flexibility Increased customer satisfaction Optimizing business processes Cost reduction Encourages business backups Cloud Insurance: A Wake-up Call for Opportunities Cloud technology and its solutions enable insurers to leverage cloud capabilities and resources to stay abreast with market developments. The technology meticulously encourages customized products and services on time, develops corporate networks, and implements new business processes with high revenue. However, adopting cloud solutions is not always an easy decision for insurers, but those that overcome security worries can reap the benefits of cloud insurance. Therefore, utilizing cloud solutions is a continuous journey that necessitates constant innovation and adaptability.

Automobile Insurance, Insurance Technology

Article | December 19, 2022

When building a practical framework, AI holds tremendous potential for insurers. Insurance companies can use AI to make better business decisions and provide differentiated customer experiences. To take advantage of AI, insurers need to know and clear the air about what is possible to do with AI. Insurance with AI: Understand, Learn & Respond Here are the ways insurers must use AI in their workforce and build a workable model. Language: Insurers can use natural language processing using AI to extract legacy unstructured data and convert it into structured data. As a result, organizations can extract information and automatically classify it into different sections. In addition, AI can even learn and guide users to make decisions using machine learning and curtail errors. Management: AI has emerged as a game-changer in managing the workforce, risks, and insurance functionalities and augmenting flawless products and services. While we talk about workforce management, AI puts tasks in one place, organizes them, and stores them under a data-proof model. So, no more scattered documents and pilling of files! AI is here, and it will transform and respond to businesses more efficiently with solution-driven aspects. Efficiency: Businesses need to be proactive by having a smart workforce that adds efficiency. Before, the insurance sector had a sloppy work platform. But now, with the passing of time, they need to overcome and be more efficient at work. Using AI in your business will save a lot of time, energy and money. It will lead to faster processes that are error-free, accurate, and predictive, encourage crystal clear communication, and have fewer chances of fraud. Insights on AI’s Role in Insurance Existing and start-up insurance businesses will be fortified with the help of AI use cases. Let’s get some insights into AI's potential for businesses. The global AI market is estimated to grow at a CAGR of 42.2% to $733.7 billion by 2027. The inclusion of AI in insurance records a growth of 56% until 2021. AI has the potential to save insurance companies up to $390 billion by 2023. In 2021, more than 40% of insurance businesses increased their expenditure on AI use cases and projects. Source: PWC These statistics show that AI in insurance is only going to get bigger. Investments in AI are high on the priority lists of decision-makers. The Futuristic Hold The insurance industry is under enormous pressure in terms of digital transformation. The rate of transformation is consistently accelerating. This paints the future of the insurance industry with AI to be more progressive with improved products and services, which will eventually host numerous opportunities for exponential expansion and reach globally.

Insurance Technology

Article | August 9, 2022

Underwriting has historically been one of the most data-intensive areas of insurance. But when it comes to looking at investments and results, data and information handling for underwriting at most carriers is still disjointed and disconnected. This is underwriting’s version of the digital divide we’ve been discussing in this series, and it leads to inefficiencies and ineffective underwriting. The divide exists because today’s underwriting platforms have not evolved to meet the needs of a modern digital carrier. To see why, let’s take a quick look at the history of these platforms. The first generation of underwriting platforms was built to provide rating systems and core policy management needed to price and administer the underwriting of policies. The technology they run on has changed from mainframe to servers to the cloud, but the platforms themselves remain focused on managing the least information necessary to price and maintain the policy.

Article | April 21, 2020

In the financial services industry, reliance on big data has been increasing at a global level. The usage is not limited to marketing purposes alone but extends to fraud and risk prevention. Customer demand for personalised products is responsible for this shift. The future of insurance is also being shaped differently due to this. The current lengthy questionnaires won’t be needed at all. Just the data collected will help to accurately predict risk and create policies customised to the person’s needs.