Insure Think

Pet insurance needs to do more than reimburse. It must actively support pet owners in predicting problems and delivering real-time value.

Insurers that invest in modernizing how funds are held, moved, and monitored will be the best positioned.

Tech isn't a replacement for strategy or a substitute for process design. And it won't deliver results without the right people behind it.

The insurance industry can embrace sustainability as a path to meaningful growth, ethical leadership and long-term success.

Leaders in insurance will succeed by integrating AI with clear goals, strong rules and forward-thinking strategies.

Several recent studies have found that 78% of global life insurance carriers believe data readiness is the biggest challenge in getting value from AI.

The top areas where AI chatbots are reshaping the insurance customer experience.

Addressing the risks from increasing cyberattacks requires more than cyber insurance.

Gen AI can help policyholders and adjusters better understand the complexities of claims coverage.

Policyholders and claimants expect the payment process to be an easy and transparent aspect of the claim process.

Governance, risk and compliance programs are an under-utilized risk mitigation tool for cyber insurance.

Insurance carriers can increase success by strengthening partnerships with agencies.

The insurance market isn't keeping pace with the connected, data fluid, and intelligent potential already inherent in the automotive sector.

Cybersecurity requires combating misinformation and empowering employees with critical fact-checking strategies to guard against bad actors.

AI is making insurance more intuitive, personalized, and accessible for today's diverse small business models.

For carriers serving high-risk drivers, speed, accuracy, and trust are not just nice to have — they are business-critical.

Misunderstandings over flood insurance coverage can be costly for homeowners when damage occurs.

Managing general agents are using speed and flexibility in underwriting to meet changing market demands.

Insurers must monitor state and federal regulations closely because they are constantly changing.

Insurers should proactively quantify and mitigate internal cyber exposure.

What happens when conventional risk assessment models face modern security challenges?

True road safety will require more than speed enforcement. It will take data-driven insights and collaboration across the entire transportation ecosystem.

Insurers rely on video for faster claims and risk assessment and AI-powered redaction reduces data protection compliance risks.

Legacy IT issues, complicated cloud migrations and budget constraints pose major hurdles to AI adoption.

As EV adoption increases and residential charging becomes the norm, fire risk has emerged as a meaningful coverage concern.

Why next-gen risk models are the key to market resilience.

Many AI strategies focus on high-value tasks that provide new business opportunities for agents and brokers.

Discover how artificial intelligence is reshaping commercial insurance, enhancing efficiency, and driving profitability.

Collaborating with clinical experts helps seed health programs that not only bend the cost curve but also enhance workforce performance and morale.

Three areas for insurance leaders to explore related to the role of tech in risk management.

To stand out, insurers must go beyond the status quo, prioritizing seamless experiences for both customers and employees.

Embedded insurance leverages data and tech to offer coverage seamlessly online, meeting customers when and where they need it.

Making sure younger employees have a clear understanding of their benefit offerings can help them stay healthy and cut down on unnecessary costs.

Insurance needs to move from value chains to ecosystems capable of maximizing value for a customer.

Leveraging EHRs, medical claims and historical lab data, insurers can enhance their ability to discover undisclosed tobacco use and improve risk assessment accuracy.

The crossover between personal and commercial cyber exposures requires a more comprehensive solution for policyholders.

AI can revolutionize insurance and change how companies identify and prevent cyber risks.

By leveraging vast amounts of data from multiple sources, insurers can analyze customer behaviors and risk factors in real time.

Customer expectations continue to evolve, and technology-based strategies must focus on their needs and preferences.

Catastrophes significantly increase claim volume and severity, resulting in extended claims cycles and frustrated policyholders.

Best practices when leveraging Gen AI to more effectively protect data from unauthorized access and cyber threats.

Prioritizing comprehensive healthcare, financial wellness, flexible work policies, mental health support and virtual care provides a competitive edge.

Transform legacy systems to address changing workforce and attract digital natives to the insurance industry.

The inability to react to emerging trends quickly can cost insurers money and customers.

Independent and mid-sized firms must make strategic choices about where and how to adopt new technologies.

The McCarran-Ferguson Act was enacted in 1945 and regulates insurance at the state level to create a competitive market.

Multi-factor authentication is a powerful security measure, but for independent insurance agents, it can disrupt workflows and sap productivity.

Effective claims automation requires a cultural shift that prioritizes people, processes and strategic alignment.

Employers that consider their benefit programs before disaster strikes can make them more accessible to employees when events actually occur.

Insurers can use GenAI to elevate different use cases, from streamlining critical business functions to optimizing financial performance.

DORA applies to roughly 22,000 entities in the EU and violators can face fines of up to 2% of gross revenue.

Several factors are contributing to rising insurance premiums for homeowners.