AI is the catalyst for analyzing data and automating processes to transform how claims, costs, and customers are managed
AI is already providing efficiencies by automating back office processes. Insurance companies have only begun to scratch the surface with automation. As AI models become more embedded across applications, organizations need a streamlined way to manage all models.
As products become more commoditized, insurance companies need ways to differentiate. By using AI to exploit insights hidden within proprietary data, companies are offering new products and solutions to drive growth. To track the success of these initiatives, companies must centralize the monitoring of all models to track performance against KPIs.
Customers face no shortage of options. AI helps how insurance companies can engage with customers. To ensure peak customer experience, companies need an easy way to monitor and update models to ensure relations with customers remain optimal.
“Modzy software is very intuitive and well designed, which has made it incredibly easy to work with and integrate with what I've worked on. It's a no-brainer decision for me.”
“Their ease of integration is great. We also like the ability to run different models with a simple integration.”
“Highly satisfied with the scalability and ease of use of the machine learning APIs. The documentation was concise, easy to use, and understand. Installation in ArcGIS took less than a minute and the performance was very fast with results instantly displayed on the map window.”
“Modzy's SDK was very simple to work with and it made integrating their ML capabilities into my Web app very easy. Working with the platform is a pleasure!”
“Hugely satisfied with Modzy to manage my team's machine learning inferences and auditing”
“Scaled way up! Seriously, we had so many jobs to process on expensive GPUs, and Modzy helped us optimize the workloads and even recognize which models could run on CPUs to save money.”
Track the Return on AI investments. By centralizing management of AI programs across your organization, you'll easily be able to measure and monitor the impact of AI on your bottom line.
Faster time to results with AI. By centralizing model management and establishing governance, you can establish control over costs and risks with AI, and better monitor progress.
Optimize the productivity of your data science teams. By reducing the time to deploy models in production and automating model management, teams can spend more time on true data science work.
Keep your AI power secure.Military-grade application security, and cutting edge adversarial defense to keep models robust.
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