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
Technology is the use of scientific knowledge Artificial intelligence, Machine learning, Big Data for practical purposes or applications, whether in industry or in our everyday lives. It includes everything from the wheel to computers to medicines to zippers and buttons on clothes. Also, technology helps in making other goods that aid mankind.
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
Gen AI offers opportunities for both cyber attackers and defenders, poised to significantly impact the threat landscape
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
Major leaps in the effectiveness of Generative AI and Large Language Models have dominated the discussion around artificial intelligence
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
The risk environment for the mobility sector continues to grow in its scope and complexity. Whether dealing with global supply chain issues against an geo-political backdrop
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
Private equity firms and their portfolio companies need to go beyond simply employing technology for reducing costs and increasing efficiencies
Data brings a great opportunity in the quest to manage unpredictability; it allows insurers to better manage risk and improve insurance underwriting
Swiss Re’s SONAR report reveals that the threats on the horizon develop as dynamically as the technological, geopolitical and social changes
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%
Computer vision, data science, financial incentives, technology, and societal trends has created a unique opportunity to achieve global workplace safety
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