Florian Graillot’s Post

What tech trends really matter in insurance ? This is a valid question that the industry often ponders, as there is a consensus that technology will impact the value chain, while numerous technological trends are circulating in the market. To attain clarity on this matter, MunichRE thoroughly investigates this topic in its annual 'tech radar'. Across various verticals such as AI or cyber, it enumerates technologies and evaluates their potential impact. In conclusion, it offers recommendations on how to approach them, ranging from market monitoring to full-scale production. In the 'data & AI' section, I found the trend on synthetic data particularly intriguing, as it aligns closely with the data challenge I extensively explored in a previous essay. The notion of API standardization also strikes a chord, especially concerning the endeavor to realize Open Insurance. Last but not least, I was pleased to see 'digital assets' featured in the trial section, as I firmly believe it's an emerging risk area where insufficient innovation has been explored in terms of insurance coverage. Therefore, it presents a clear opportunity for tech startups to consider. 🔥 Which tech trend resonates with you the most? #insurance #insurtech #artificialintelligence

I found the 185-page report a little overwhelming to be honest. Florian's highlights are great and I fully support them. If you're an insurer considering how to leverage tech to move the needle, I'd do a few things: 1. Ignore all trends that aren't ready for immediate adoption for now, unless you've really adopted them all (and we know you haven't). 2. Focus back on the problems that they might be able to solve. If the tech is as good as it claims, will it move the needle? 3. Ask yourself: do you have the organizational attention, the talent, and the infrastructure to adopt the technology? Adopting electric driverless cars is great unless you have no paved roads, no charging stations, and no one around who knows something to build them. #InsurTech #Insurance #TechTrends

Navigating the insurtech space has been an eye-opening experience for me. The promise of transforming traditional insurance models with technology is exciting, but it’s not without its hurdles. For those of us in this industry, overcoming these challenges is key to creating lasting impact. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝘀𝗼𝗺𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗜 𝗵𝗮𝘃𝗲 𝗼𝗯𝘀𝗲𝗿𝘃𝗲𝗱 𝗮𝗻𝗱 𝗺𝘆 𝘁𝗵𝗼𝘂𝗴𝗵𝘁𝘀 𝗼𝗻 𝗵𝗼𝘄 𝘄𝗲 𝗰𝗮𝗻 𝘁𝗮𝗰𝗸𝗹𝗲 𝘁𝗵𝗲𝗺: ◼️ Data Security: Protecting customer data is a top priority. The best way forward is by investing in strong cybersecurity measures and staying compliant with regulations. Trust is built through transparency and protection. ◼️ Regulatory Complexity: The insurance landscape is highly regulated, and keeping up with changing policies can feel like a maze. Partnering with legal experts and regulators early can help ensure that your technology meets the latest compliance requirements. ◼️ Customer Adoption: Many people are still cautious about using digital insurance solutions. To bridge this gap, we need to focus on educating customers and showing them the convenience and benefits insurtech brings to their lives. ◼️ Integrating AI and Automation: AI is transforming the way we approach insurance, but legacy systems can make adoption tricky. Start small with AI integration, allowing systems and teams to adapt while maintaining operational efficiency. ◼️ Competition: The insurtech space is becoming more competitive every day. The key to staying ahead is delivering unique, customer-centric solutions that truly address their needs. These challenges are real, but they’re also opportunities. With the right approach, we can overcome them and shape the future of insurance for the better. What challenges have you encountered in this space? I’d love to hear your thoughts #Insurtech #InsuranceTechnology #Fintech #DigitalTransformation #Innovation #Technology #Business #Startup #DataSecurity #Cybersecurity #RegulatoryCompliance #CustomerExperience #AI

🔹 Help Your Clients Stay Ahead in AI with Embroker Access 🔹 Are you an insurance broker with clients focused on Artificial Intelligence? Embroker Access is here to enhance your portfolio offerings with our specialized Tech E&O/Cyber insurance for AI-focused businesses. ✅ Comprehensive Coverage for AI Companies: From core AI/ML innovators to business intelligence applications, we provide industry-tailored coverage that includes: ☑️ Bias and Algorithm Failure ☑️ Technology E&O and Cyber Liability with first and third-party protections ☑️ Global Coverage for seamless protection wherever your clients operate 💡 AI-Related Features: Regulatory action, social engineering, software code infringement, and AI-related errors all within one policy framework. Why choose Embroker Access? We understand AI’s unique risks and have developed a proactive, responsive underwriting process designed for the fast-paced world of tech. 📲 Learn More about our primary and excess Tech E&O/Cyber coverages designed for AI at access.embroker.com #InsuranceBroker #CyberInsurance #TechInsurance #AICoverage #EmbrokerAccess #EandO

Swiss Re has published new research regarding existing and emerging risks arising from AI. As is always the case with insurance, new risks mean both threats and opportunities for the insurance business. Among AI-related risks are data bias or lack of fairness, cyber risks, algorithmic and performance risks, lack of ethics, accountability, and transparency, intellectual property (IP), and privacy risks. Some of these are already covered by existing products, such as cyber-insurance, but others are specific to the AI domain and require completely new insurance products. This is especially true for algorithmic and performance risk, i.e., the risk of AI failing to meet required performance metrics, which is soon expected to become the biggest of all risks in this group across all industries covered by the research. As AI rapidly grows and becomes ubiquitous, the risk exposure associated with it may soon exceed existing coverage capacities, leading to unattainably high premiums and insufficient coverage. The only antidote to this threat is to introduce an insurance product that combines coverage and mitigation from the very beginning. Insurance companies themselves are subjects of AI-related risks, giving them both an opportunity and a necessity to deepen their knowledge of AI and introduce effective means of controlling risk exposure. Alternatively, they might hope that AI will not just compose texts and pictures but also develop and implement effective self-risk-management tools and strategies. #AI #insurance #risk

The insurance industry is on the brink of a digital revolution. It is no longer just about offering traditional services online, but about a profound transformation of how we understand, manage and experience insurance cover.   ✨ 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 - These technologies are revolutionising the claims management process by enabling fast, accurate claims estimates and detecting fraud attempts. They also personalise the customer experience by creating tailored policies based on behavioural and risk analysis. ☁️ 𝐂𝐥𝐨𝐮𝐝 𝐜𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 - The cloud offers insurers the flexibility to store and process vast amounts of data, which is essential for risk assessment and policy management. It also enables improved collaboration and accessibility, which is particularly beneficial in times of remote working.   🔒 𝐂𝐲𝐛𝐞𝐫𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 - With the increase in online transactions, security is becoming paramount. Insurance companies are investing heavily in advanced cybersecurity measures to protect customer data and build trust. 📊 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 - Analysing large amounts of data enables insurers to better understand and quantify risks. This leads to more accurate premiums, more efficient use of resources and greater risk minimisation. IT in the insurance industry is the key to not only keeping pace with change, but to shaping it. How do you see the future of insurance IT? Let's discuss in the comments! #insurance #insurtech #digitalization #enterprisearchitecture

Thank you Insurance Institute of Canada! Always happy to share some insights and thoughts on how we can create a future where technology and humanity thrive together. Our experts at msg global solutions and our innovation hub Cookhouse Labs Innovation are helping businesses around the world identifying and validating use cases to co-create purposeful AI solutions. #EthicalAI #ArtificialIntelligence #Innovation #TechEthics #AI

🔍 Navigating the Future of Insurance: Key Trends to Watch 🔍 As we look ahead, the insurance industry is poised for transformative changes. At In2Matrix, we're continuously analyzing trends to better serve our clients and stay ahead in the market. Here are some key developments we're watching: 1. Digital Transformation: The integration of AI and machine learning is reshaping how we assess risk and process claims, leading to more efficient and accurate services. 2. Sustainability Focus: As climate change impacts risk assessment, insurers are prioritizing sustainable practices and developing products that align with environmental goals. 3. Personalization in Coverage: Clients increasingly demand insurance solutions tailored to their individual needs, leading to more personalized and flexible offerings. 4. Cybersecurity Concerns: With the rise of digital platforms, protecting client data and ensuring robust cybersecurity measures are more crucial than ever. We believe staying informed and adaptable is key to thriving in this evolving landscape. What trends do you see shaping the future of insurance? #InsuranceTrends #Innovation #FutureOfInsurance #In2Matrix

🔍Mitigating AI Operational Risks in Insurance 🔍 Discover how InsurancGPT tackles updates, maintenance, scalability, and security challenges for seamless AI operations.