• Why enterprise AI projects stall and how to open the value floodgates

• resumes from hopeful

• Mission-critical Applications Are Exposed
• Mission-critical RPO and RTO Policies: Help Needed!
• Many Incidents Are Ignored
• In the last 12 months, approximately how many of the following security incidents has your organization experienced due to the following threats? (N=600)
• Response Effectiveness Perceived As Very High Across Respondents
• Many Technologies At Play For Response...Adding Complexity?
• Bye Bye Data...
• Approximately what percentage of your organization's data was recovered after the cyber-attack? (N=399
• There Is NO Quick Recovery for Most...
• How long would your organization take to fully recover from a ransomware or cyber incident event and resume operations? (N=600)
• Air Gapping Is Becoming A Standard

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• many of the most promising companies in insurtech 2. Source: Gartner, Compare AI Software Spending in the Insurance Industry, 2023-2027, 27 March 2024. 3. Source: Free Partners LLP, “The Re-Generation Report.” 4. Source: Accenture press release, “Poor Claims Experiences Could Put Up to $170B of Global Insurance Premiums at Risk by 2027, According to New Accenture Research.” 5. Source: Gartner, Top 10 Technology Trends for P&C Insurance CIOs in 2024, 18 March 2024, Sham Gill, James Ingham, Kimberly Harris-Ferrante. 6. Source: Deloitte, “The AI Imperative in Insurance,” March 20, 2024. 7. Source: SAS Institute, “Your journey to a GenAI future: An insurer’s strategic path to success.” 8. Source: Deloitte, “The AI Imperative in Insurance,” March 20, 2024. are AI-native platforms built to address insurance-specific challenges. For example, there are exciting platforms that leverage predictive AI to streamline claims processing by automatically flagging high-risk claims and fast-tracking simpler ones. One cybersecurity company leverages AI to pinpoint security vulnerabilities, model cyber breach scenarios, and quantify the overall cyber risk on a portfolio- and individual-policy basis.
• “Global AI software spending in the insurance market is forecast to increase 17.4% in 2024 to $9.5 billion and reach $15.9 billion by 2027, with a five-year CAGR of 18.2%.” 2
• With this necessary infrastructure emerging, insurance companies across the value chain can turn to AI to help alleviate industry challenges. Among them is a massive talent drain coming to the industry with waves of retirements expected in the coming years. The resulting vacancies will not be easily filled, as less than a third of young people surveyed recently in the U.S. and U.K. said insurance is an appealing career choice
• 94% of insurance CIOs saying that adoption of AI will
• be critical to success over the next five years

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