Insure Think

There are solutions that can improve the health of mothers and their babies. Benefits leaders can help make them available in the workplace.

The backbone of American property insurance depends on data you've never thought about...until it's gone

Digital transformation is streamlining operations and enhancing customer experiences.

Six challenges life insurance underwriters face and how AI can help to address them.

The lessons learned from Hurricane Katrina can be a catalyst to better manage future risks.

Investigating a company's security posture can highlight unknown cyber vulnerabilities or possible risks affecting its future value.

Fraud, missed subrogation opportunities and customer experience can impact claims after a catastrophe, but AI can address some of these factors.

Telematics data can empower commercial companies to operate more efficiently and safely.

Behavioral economics is gaining traction in insurance underwriting.

The strategic embrace of AI is no longer a futuristic aspiration but the linchpin of contemporary risk management.

Here's why insurance-funded redemptions do not necessarily increase enterprise value and how a Supreme Court decision didn't reflect economic reality.

Access to advice and services can help employees be more prepared and protected for life stages and emergencies.

It's a critical time for insurers to assess technology investments and infrastructure

Bars and restaurants are still catching up on how to serve these products safely and compliantly.

Agentic AI is emerging from pilot phases into real-world deployment

Contingency plans should address protecting documents, establishing communications and ensuring the security of physical office locations.

Starting a new enterprise is a challenge and here are five factors to consider as part of any start-up strategy.

Here are five questions for agents considering this transition.

While many firms have embraced AI in claims and risk scoring, forward-thinking organizations are now turning their attention to policy intelligence.

IoT devices are generating real-time data insurers can harness to assess risk more accurately.

AI is reshaping key aspects of property restoration, from initial assessment to project management, documentation and even customer communication.

Three principles for modernizing data infrastructure.

While acknowledging differences is critically important, so too is identifying the shared needs and desires that align various members of the workforce.

As customer expectations change, insurers must take a proactive approach while being responsive to their needs and AI can help.

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.