Achieving digital transformation in the insurance industry

Claims

Article | July 15, 2022

Through machine learning and deep learning, artificial intelligence (AI) can meet industry expectations. As artificial intelligence becomes more deeply embedded in the insurance industry, industry leaders must position themselves to respond to the changing business landscape. Every day,various factors contribute to the industry's changing landscape. AI is becoming more assertive in insurance, particularly in cost savings, customer service and experience, product innovations, and marketing initiatives. With this understanding, market leaders can develop appropriate revenue-generating strategies, embrace new AI horizons and implement them to develop the perspective required to succeed in the futuristic insurance industry. AI-related Action for Better Forecasting Among insurance executives who have already invested in AI, many new businesses are reaping significant benefits. They have gained the advantages of using AI to improve the customer experience (CX). According to a Deloitte study, approximately 65% believe AI assists in decision-making. Furthermore, according to PwC specialists working with insurers on AI initiatives, businesses are increasingly using AI to: Customize products and services for consumers and other businesses Establish a loyalty framework and upsell among customers Automate more data from social media and other sources for better forecasting Automate more aspects of claim processing Improve fraud detection methods Beginwith customer segmentation to target As a result of these findings, AI investments will benefit insurance companies more than ever before. How Insurers Can Accelerate AI The following points can help insurance businesses accelerate AI and achieve faster ROI. Centralize Business Functionalities Deploying AI into the process aids in the automation of resources, the alignment of tasks, the use of analytics to nurture data, the improvement of governance, and the scaling of solutions. Focus On Data AI in insurance aids in collectingand combining relevant data from consumers and future customers. AI-assisted data collection is faster and more accurate at the appropriate time. In this manner, marketers can plan for future marketing campaigns that will increase engagement and bring in more money. Reduced Risks AI is the most effective at reducing business risks. Also, AI works best for insurers to minimize risks such as data breaches, fraud detection, correct cost segmentation, and budgeting hazards. Some Insights into AI Investment: A Key Decision to Make! As technology continues to empower the insurance sector, let's take a look at how other insurance companies are investing in AI so that you may make the vital decision to incorporate AI into your organization as soon as possible. 65% of businesses found better ways to establisha customer experience base with the help of AI post-2020 49% of businesses have improved their internal decision-making process after adopting AI 56% of businesses were able to reinvent their products and services through AI 47% of businesses operated their business functions more efficiently with AI and increased productivity. 45% of insurance businesses saved substantial costs using AI algorithms 35% ofinsurance businesses have successfully reduced risks associated with their businesses after the deployment of AI. 53% of insurance companies have seen a significant revenue increase by incorporating AI into their processes. These figures are based on a Deloitte’s research study conducted by insurance industry specialists worldwide. Some Possible AI Risks for Businesses Every technology helps businesses gain benefits, but technology installation has to be done correctly to avoid consequences. As a result, insurance companies must exercise caution when implementing AI in their business processes. The possibility of faulty AI implementation could lead to: New cyber hazards New privacy threats Workforce shortages New legal liabilities and reputational risks Customer distrust More complex business modules The lack of AI abilitiesismore challenging, which can affect the entire business sphere, especially the functions that are associated with AI.

Insurance Technology

Article | July 20, 2022

It is common knowledge that there is virtually no industry that has been immune to the effects of COVID-19. The global pandemic has caused massive shifts in individual and industrial behavior and will continue to do so in the months, if not years, to come. The P&C industry, like many others, is reeling from the effects of the virus. Amidst all these events, it is important to assess how the insurtech industry is going to be affected by COVID-19.

Insurance Technology

Article | July 19, 2022

Do you know what the UK insurance industry is going through? A disruption that calls for complete metamorphosis. Not so different from what the whole world is going through at the moment. Crafting one-size-fits-all products and expecting them to sell like hotcakes is a huge misconception. Customers want products to be as personalised as possible. Pay per mile insurance or lower car insurance premiums for safe drivers are some examples. In the current global crisis, personalised life insurance would look like factoring in the unique health/ living conditions of the person and then providing insurance options.

Article | April 13, 2020

Amid COVID-19, banks began offering mortgage deferrals and slashing credit card interest rates in half for cardholders who need relief. Home and auto insurance companies COVID-19 plans are now being released. How will this impact your insurance right now? How can you save on insurance during COVID-19, while making sure to stay protected?