Most AI Projects Fail to Deliver ROI: Key Factors Behind Successful AI Implementation
Over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls
Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. 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. AI is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
According to this system of classification, there are four types of AI or AI-based systems: reactive machines, limited memory machines, theory of mind, and self-aware AI. Artificial intelligence refers to the simulation of human intelligence in a machine that is programmed to think like humans.
Over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls
Insurers enter 2026 with longer settlement cycles, rising volumes, and slow AI adoption, increasing costs and operational risk, AutoRek finds
How insurers use AI, parametric models and data to close the global protection gap, support climate finance, and strengthen resilience amid regulatory fragmentation
Although cyber incidents have not resulted in a significant systemic event for the U.S. financial services sector to date, they could pose risks to financial stability
Markets face AI bubble concerns as tech valuations rise, US household wealth tied to equities, and GDP growth leans heavily on IT investment in 2025
The first notice of loss (FNOL) is the starting point for every insurance claim. It sets the tone for the entire claims cycle. And for years, this process has been manual
Few industries remain untouched by artificial intelligence, and insurance is no exception. 29% of insurers globally already use AI—a figure expected to rise
Accurately predicting underwriting performance is crucial for stakeholders, but traditional methods often fall short
Insurers have put aside their initial reluctance and welcomed artificial intelligence to help customers and better understand risk
AI is reshaping insurance with faster claims, smart underwriting, and fraud detection—even in emerging markets, where adoption is steadily growing
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 2025, GenAI startups raised over $40 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
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
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
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
Some experts believe that artificial intelligence (AI) could completely disrupt the insurance industry as we know it. So what does the future hold for insurers?
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
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
Now that artificial intelligence, analytics and imaging technologies are being applied in the insurance sector, we are seeing more and more new TECH
AI, Digitization & Agent Experience is changing the role of insurance, from pure risk protection towards predicting and preventing risks
How will automation and AI affect the number of jobs in healthcare? The reality is that the healthcare sector faces a significant workforce gap
What do we mean by Artificial intelligence in healthcare? In this report we include applications that affect care delivery
Artificial Intelligence is getting increasingly sophisticated at doing what humans do, but more efficiently, more quickly and at a lower cost