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
AI solutions provides critical inputs to programs that support strategic weapon systems, space and intelligence functions in order to preserve national security. Providing engineering services and products for space mission planning, design and operations for civil, commercial and defense organizations.
Artificial intelligence solutions are pre-built and/or customizable solutions designed to address specific use cases and solve unique business challenges.
AI makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing.
In this section, we have collected the most current articles and reviews on the topic of the AI solutions.
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
Increasing use of artificial intelligence triggers claims across many lines of business. Insurers will need to understand of intended effects
Insurers must embrace Artificial Intelligence technology to successfully navigate emerging transformative trends that are shaping the insurance landscape
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
Cloud computing services fall into 4 categories: infrastructure as a service (IaaS), platform as a service (PaaS), serverless, software as a service (SaaS)
Everyone is talking about ChatGPT and how it’s going to revolutionize almost every business sector. The life insurance industry is no exception
Artificial Intelligence and machine learning are changing how we live, work and play – for good. Across this wide spectrum of AI, there is a vast and real potential for people
How insurance companies can enhance the overall customer experience, streamline processes, and better assess risk with AI tools and machine learning?
Technology and data-enabled solutions are creating the tailwinds for change in the commercial property insurance market
Insurance fraud costs the UK an average of £1.2bn annually. In the last year, fraudulent home insurance claims increased by 45% and according to the 2022 Insurance Fraud
Costs for everything from food to healthcare to insurance premiums have increased in the past few years – especially after the 2020 lockdown
Changing technology affects everything from what we eat to how we pay for our meals. Have you ever considered how it is changing the insurance sector?
Rapid advances in technology, the continuing talent shortage and rising customer expectations for experiences of all types have disrupted the insurance industry
Insurance professionals are getting more comfortable with recommendations coming from AI and utilizing them in underwriting, pricing, marketing, claims
What do we mean by Artificial intelligence in healthcare? In this report we include applications that affect care delivery