Generative AI, Insurance Risks & Cyber Catastrophe Events
Generative artificial intelligence (Gen AI) is no longer a futuristic concept. AI’s potential to amplify systemic risks, such as through polymorphic malware or AI-targeted data breaches
What is artificial intelligence (AI) Technology? Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
At its core, AI reads human behavior to develop intelligent machines. Simply put, the foundational goal of AI is to design a technology that enables computer systems to work intelligently yet independently.
Simply put, AI allows organizations to make better decisions, improving core business processes by increasing both the speed and accuracy of strategic decision-making processes.
John McCarthy, a professor emeritus of computer science at Stanford, the man who coined the term “artificial intelligence” and subsequently went on to define the field for more than five decades.
In this section, we have collected the most current articles and reviews on the topic of the Artificial Intelligence Technology.
Generative artificial intelligence (Gen AI) is no longer a futuristic concept. AI’s potential to amplify systemic risks, such as through polymorphic malware or AI-targeted data breaches
Insurance Europe has urged the European Commission (EC) to withdraw its proposed Artificial Intelligence Liability Directive (AILD), arguing that it could lead to legal innovation
Venture capital funding for generative AI startups is on track to exceed 2023’s record-breaking levels. In the first three quarters of 2024, GenAI startups raised over $20 bn
The EU AI Act, published by the European Commission in July 2024, introduces the first regulations on AI development and usage across sectors to protect citizens’ rights
Artificial intelligence promises to revolutionize how P&C insurance business gets done. The exact ways AI will influence business are unknown
Increasing use of artificial intelligence triggers claims across many lines of business. Insurers will need to understand of intended effects
Insurance companies have increasingly integrated digital processes into their customer journeys, yet the adoption of AI technologies lags behind
As the insurance market recognizes the potential of artificial intelligence, there remains uncertainty about how to effectively apply the technology to enhance customer engagement
Challenges in agreeing to a definition of AI reinforce the complexity of determining exactly how managers are using and integrating capabilities
Investment managers are bullish about Artificial Intelligence’s potential to contribute to global economic growth over the coming years
Questions about the effects of Artificial Intelligence are fundamental to the future of the investment management industry
Generative artificial intelligence is a great opportunities for insurers. AI considered one of the most important technological breakthroughs of the last few decades
With artificial intelligence practically impacting all aspects of everyday life, the number of insurance gaps when using AI has staggered in recent years
Though the stock market is still driven by enthusiasm for artificial intelligence, businesses devoted to insurtech, or the revolution of insurance through technology
As generative AI changes the way companies do business, it is creating new risks and new causes of loss that impact not only the companies themselves
Insurers must embrace Artificial Intelligence technology to successfully navigate emerging transformative trends that are shaping the insurance landscape
Transformative trends are shaping the future risk landscape, creating $200+ bn of market potential for insurers by 2030. Top 10 opportunities
Global Generative AI in Insurance Market size will be worth $5,5 bn by 2032 from its current size of $346.3 mn, and growing at a CAGR of 32.9%
To build an AI-driven finance organization for the future, it will require a combination of technical and business skills that many finance teams do not have today
For re/insurance industry, Digital Trust and Artificial Intelligence are vital for business since access to data is the key component behind risk analytics and automation capabilities
Cloud computing services fall into 4 categories: infrastructure as a service (IaaS), platform as a service (PaaS), serverless, software as a service (SaaS)
Insurance companies need to have technology systems in place that don’t just keep things like investment budget or time to market in mind
Everyone is talking about ChatGPT and how it’s going to revolutionize almost every business sector. The life insurance industry is no exception
InsurTech Startups are developing new approaches to traditional activities, such as underwriting and claims management. Categories startups
Emerging data analytics technologies centred on machine learning bring order and purpose to this unstructured data so that it can be more effectively