Evaluating the impact of AI on insurance: The four emerging AI- and data-driven business models [version 1; peer review: awaiting peer review]

The increasing capabilities of artificial intelligence (AI) are changing the way organizations operate and interact with users both internally and externally. The insurance sector is currently using AI in several ways but its potential to disrupt insurance is not clear. This research evaluated the implementation of AI-led automation in 20 insurance companies. The findings indicate four business models (BM) emerging: In the first model the insurer takes a smaller part of the value chain allowing others with superior AI and data to take a larger part. In the second model the insurer keeps the same model and value chain but uses AI to improve effectiveness. In the third model the insurer adapts their model to fully utilize AI and seek new sources of data and customers. Lastly in the fourth model a technology focused company uses their existing AI prowess, superior data and extensive customer base, and adds insurance provision

Perspectives on information and supply chains within investment banking

Supply chain concepts are usually confined to industries where there are core sourcing, manufacture and delivery processes. These industries are usually to be found within the industrial products, aerospace, automotive, chemical and pharmaceutical sectors. Supply Chain Management (SCM) concepts, have not necessarily been associated with financial services, apart from concepts of information management and process flow, in the loosest sense. This paper attempts to describe how supply chain concepts are very much an inherent part of the financial services process landscape, with particular reference to the field of investment banking. In doing so, the paper explores IT/IS issues impacting within the investment banking industry, focussing on the requirements for efficient distribution of sales and research data. Following this, the authors extend concepts of supply chain and information management, to realise the concept of an Investment Banking Information Supply Chain (IBISC)

Disruptive Power of Blockchain on the Insurance Industry

Kindlustus on olnud globaalse majanduse võtmekomponendiks oma lisatasude suuruse, investeerimismahtude ja ennekõike oma isikliku ja äririski katva sotsiaalse ja majandusliku rolli tõttu. Aastate jooksul on antud sektoris olnud püsiv reform, kuid sellele vaatamata on kindlustuse tööstusharu jäänud suuremalt jaolt samaks oma ärimudeli ja toimimise osas. Seda sektorit domineerivad vahendajad, kes mängivad võtmerolli kliendi vajaduste mõistmises ja viivad selle kokku kindlale sihtgrupile mõeldud kindlustustootega. PwC poolt tehtud uuring raportis „Kindlustus 2020: Muutuse pööramine võimaluseks“ [1] võtab arvesse sotsiaalsed, tehnoloogilised, keskkondlikud, majanduslikud ja poliitilised faktorid ning viitab sellele, et kindlustuse sektoril on vajadus muutuda agentuuripõhisest jaotusmudelist kasutusepõhiseks ärimudeliks. Antud uurimustöö uurib plokiahela tehnoloogiat ja selle häirivat mõju kindlustussektorile hinnates praegust äriprotsessi ja –mudelit ning seda, kuidas see tehnoloogia suudab antud mudeleid täiustada. Uurimustöö järeldusena pakutakse uut protsessi suunda kindlustuse tööstusharule rõhutades kliendile pakutavat parema väärtusega teenust, kus on kasutusel plokiahela tehnoloogia. Võtmesõnad: plokiahela tehnoloogia, kindlustuse äriprotsess, jaotatud peaarvetehnoloogiaThe insurance industry has been a key component of the global economy by the amount of premiums it generates, the scale of its investment and more fundamentally, the essential social and economic role it plays in covering personal and business risk. Over the years, there have been a growing reform in this sector but despite some of these reforms, the insurance industry has remained much the same in its business model and operations. The sector has been dominated by intermediaries who play the key role of understanding and matching the need of the customer with specific tailored insurance product. A research conducted by PwC in a report titled “Insurance 2020: Turning change into opportunity” [1], takes into account STEEP (Social, Technology, Environmental, Economic and Political) drivers all points to the need of the insurance sector to evolve from the agency- based distribution model to an usage based business model. This paper examines the blockchain technology and its disruptive power in the insurance sector by evaluating the current business process and model in the industry and how this technology can improve this model. This paper concludes by proposing a new process flow for the insurance industry placing emphasis on better values service to the customer using blockchain technology

BUILDING THE BUSINESS CASE FOR MOBILE ENTERPRISE APPLICATIONS IN THE INSURANCE INDUSTRY

The use of mobile enterprise applications (MEAs) is becoming part of the computing landscape in organizations. To build a strong business case for a MEA project, justifying the financial investment, it is necessary to include realistic benefits to be derived from the use of MEAs. Also, it is equally important to include the possible risks to the benefits being realized so that mitigating actions can be put in place. Then the benefits need to be managed. Yet the benefits from MEAs are not clearly understood. Hence the purpose of this study was to describe the benefits from using MEAs and the impediments to the benefits realization. This was done by analysing qualitative data collected from stakeholders in 3 MEA projects in a single organization in the insurance industry. The practical contribution of the study includes a list of tangible and intangible benefits that can be used to build business cases for MEA projects. Also, the risks that organisations need to manage to realize the expected benefits are described. The academic contribution of this study is the addition to the body of knowledge regarding business cases for and benefits from MEAs. Keywords: Mobile enterprise applications, mobile apps, MEA benefits, risks to benefits, mobile business proces

Cyber insurance of information systems: Security and privacy cyber insurance contracts for ICT and helathcare organizations

Nowadays, more-and-more aspects of our daily activities are digitalized. Data and assets in the cyber-space, both for individuals and organizations, must be safeguarded. Thus, the insurance sector must face the challenge of digital transformation in the 5G era with the right set of tools. In this paper, we present CyberSure-an insurance framework for information systems. CyberSure investigates the interplay between certification, risk management, and insurance of cyber processes. It promotes continuous monitoring as the new building block for cyber insurance in order to overcome the current obstacles of identifying in real-time contractual violations by the insured party and receiving early warning notifications prior the violation. Lightweight monitoring modules capture the status of the operating components and send data to the CyberSure backend system which performs the core decision making. Therefore, an insured system is certified dynamically, with the risk and insurance perspectives being evaluated at runtime as the system operation evolves. As new data become available, the risk management and the insurance policies are adjusted and fine-tuned. When an incident occurs, the insurance company possesses adequate information to assess the situation fast, estimate accurately the level of a potential loss, and decrease the required period for compensating the insured customer. The framework is applied in the ICT and healthcare domains, assessing the system of medium-size organizations. GDPR implications are also considered with the overall setting being effective and scalable

The development and regulation of consumer credit reporting in America

In the United States today, there is at least one credit bureau file, and probably three, for every credit-using individual in the country. Over 2 billion items of information are added to these files every month, and over 2 million credit reports are issued every day. Real-time access to credit bureau information has reduced the time required to approve a loan from a few weeks to just a few minutes. But credit bureaus have also been criticized for furnishing erroneous information and for compromising privacy. The result has been 30 years of regulation at the state and federal levels. ; This paper describes how the consumer credit reporting industry evolved from a few joint ventures of local retailers around 1900 to a high technology industry that plays a supporting role in America's trillion dollar consumer credit market. In many ways the development of the industry reflects the intuition developed in the theoretical literature on information-sharing arrangements. But the story is richer than the models. Credit bureaus have changed as retail and lending markets changed, and the impressive gains in productivity at credit bureaus are the result of their substantial investments in technology. ; Credit bureaus obviously benefit when their data are more reliable, but should we expect them to attain the socially efficient degree of accuracy? There are plausible reasons to think not, and this is the principal economic rationale for regulating the industry. An examination of the requirements of the Fair Credit Reporting Act reveals an attempt to attain an appropriate economic balancing of the benefits of a voluntary information sharing arrangement against the cost of any resulting mistakes.Consumer credit

Re-Think Insurance: A New Perspective of InsurTech

Technology improves performances of industries generally. While some applications impact insurance industry profoundly, however, some of the improvement is more of office automation and is better not classified as InsurTech. The article is to provide a practical perspective of InsurTech from the review of definitions and purposes of insurance, and the induction of risk information and risk financing, to silhouette insurance ecosystem and framework of InsurTech. Under risk information, the information layering is explored and the basic three elements of risk, contract and portfolio are identified in insurance ecosystem; under risk financing, transaction costs of insurance and law of large numbers are applied. Then, we propose a framework based on the three elements for InsurTech in regard of availability, affordability and assurability. Two approaches are also proposed for InsurTech development - evolutionary way to revise specific areas of the current insurance models and revolutionary way to revamp the insurance models as to redesign the arrangement of risk protection

Survey on Insurance Claim analysis using Natural Language Processing and Machine Learning

In the insurance industry nowadays, data is carrying the major asset and playing a key role. There is a wealth of information available to insurance transporters nowadays. We can identify three major eras in the insurance industry's more than 700-year history. The industry follows the manual era from the 15th century to 1960, the systems era from 1960 to 2000, and the current digital era, i.e., 2001-20X0. The core insurance sector has been decided by trusting data analytics and implementing new technologies to improve and maintain existing practices and maintain capital together. This has been the highest corporate object in all three periods.AI techniques have been progressively utilized for a variety of insurance activities in recent years. In this study, we give a comprehensive general assessment of the existing research that incorporates multiple artificial intelligence (AI) methods into all essential insurance jobs. Our work provides a more comprehensive review of this research, even if there have already been a number of them published on the topic of using artificial intelligence for certain insurance jobs. We study algorithms for learning, big data, block chain, data mining, and conversational theory, and their applications in insurance policy, claim prediction, risk estimation, and other fields in order to comprehensively integrate existing work in the insurance sector using AI approaches

Blockchain-based Immutable Evidence and Decentralized Loss Adjustment for Autonomous Vehicle Accidents in Insurance

In case of an accident between two autonomous vehicles equipped with emerging technologies, how do we apportion liability among the various players? A special liability regime has not even yet been established for damages that may arise due to the accidents of autonomous vehicles. Would the immutable, time-stamped sensor records of vehicles on distributed ledger help define the intertwined relations of liability subjects right through the accident? What if the synthetic media created through deepfake gets involved in the insurance claims? While integrating AI-powered anomaly or deepfake detection into automated insurance claims processing helps to prevent insurance fraud, it is only a matter of time before deepfake becomes nearly undetectable even to elaborate forensic tools. This paper proposes a blockchain-based insurtech decentralized application to check the authenticity and provenance of the accident footage and also to decentralize the loss-adjusting process through a hybrid of decentralized and centralized databases using smart contracts.Comment: IEEE Global Emerging Technology Blockchain Forum 202

Smart Contracts in Insurance: A Law and Futurology Perspective

Smart contracts are innovative contracts that differ from traditional ones in that they are self-executing, as they entail the possibility of representing contract terms in programming code that gets automatically executed on a blockchain or other distributed ledgers. Following the latest developments in blockchain technology, smart contracts have been the focus of growing attention and are currently among the major innovations that are taking place in financial services. This paper investigates the scope for their application in insurance both in the near and longer term, exploring the legal challenges that they pose. The analysis shows that in the near term smart contracts will be mainly exploited to automate underwriting, claims handling and payouts. It considers how the automation of these processes will operate at law and emphasises the impact that smart contracts can have especially on the reduction of transaction costs and on the very essence of the insurance contract—the insurer's promise to pay. Building on current technological developments, the paper then turns to role that smart contracts can play in insurance in the longer term, advancing the prospect of the automation of the entire insurance contract. In particular, it argues that the interaction between smart contracts and artificial intelligence and machine learning can challenge traditional frameworks of thought such as incomplete contracting and, in the farther-distant future, will culminate in contracts that will both self-interpret and self-enforce their terms—what can be called the true smart contracts. The analysis identifies and addresses the main legal issues that can arise in this context, exploring how to strike a balance between the goal of fostering innovation and the need to ensure policyholder and investor protection