What is the multi-car discount?

Core Insurance, Risk Management

Article | September 22, 2022

Americans consider boosting the economy a top policy priority over dealing with COVID-19 as the coronavirus outbreak enters its third year. The decrease in the percentage mentioning the pandemic has been particularly sharp: from 78% last year to 60% this year, dealing with the coronavirus is now seen as a top policy priority. This comes at a time when Americans see various issues as lower priorities than they did a year ago. Republicans and Democrats disagree on the significance of the majority of policy priorities, but for 11 of the 18 issues covered by the survey, the partisan divide has grown significantly. This includes double-digit increases in partisan differences on addressing issues like immigration, the political system, improving the job market, and the criminal justice system. Changing Public Priorities: The Economy, Coronavirus, Jobs The percentage of Americans, particularly Democrats, who see the economy as a significant policy issue has decreased, despite the fact that it still ranks first on the public's list of priorities. From 75% a year ago to 63% now, the percentage of Democrats and independents leaning toward the Democratic Party who believe that improving the economy should be a key priority has decreased. Republicans and GOP learners, meanwhile, have seen almost no change in their opinions (85%top priority then, 82%today). Democrats are also less inclined than they were in January of last year, before President Joe Biden's inauguration, to rank addressing the employment situation as their top priority. 71% of Democrats said jobs should be a primary priority a year ago; today, only around 50%of Democrats agree (49%). The Republicans' slide has been more subdued (from 63% to 55%). As a matter of policy, solving the issues of the poor has lost priority. Democrats continue to prioritise this policy area significantly more than Republicans, although Republicans are now less likely than Democrats to see dealing with the issues low-income families confront as a key concern (25%now vs. 35%then; 58%now vs. 68%then). Additionally, there has been a reduction in the public's opinion that strengthening the political system ought to be a major priority for policy, mostly due to Republican efforts. The proportions of voters in each party who said that reforming the political system should be a high priority were essentially the same as they were the previous year (64%of Democrats and 60%of Republicans). Now, only 40% of Republicans and 61% of Democrats believe that this should be a high priority.

Claims

Article | July 15, 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.

Core Insurance, Risk Management

Article | August 4, 2022

Kennedy's Elizabeth Bardsley discusses the risks brokers need to be aware of as more and more professionals work from home as a result of the coronavirus pandemic. As the insurance industry continues to grapple with the Covid-19 pandemic, many have begun to give thought to what lasting changes will stay with us once the crisis has passed. For example, attitudes towards flexible working are expected to permanently change as more and more professionals work from home. And in a similar vein, we are likely to see a significant impact on the popularity of cyber and digital liability policies.

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.