Updates and perspectives from our team

Automate processing used car images with AI to improve your digital customer experience.

Find out why unstructured data is the key to digital transformation success, and how it all begins with choosing the right platform for data digitization.

Discover the 7 principles that define privacy by design, including how to get started and enhance data privacy with AI.

Discover how artificial intelligence can be used to make unclear transactions a thing of the past.

Will enterprises move fast enough to leverage AI-driven data processing, or be left behind by AI-first startups waiting in the wings?

Find out how automated redaction can help your organization protect sensitive information and streamline compliance with global privacy laws such as GDPR, CCPA, and more.

As autonomous vehicles (AV) become more prevalent, the amount of data generated by self-driving cars is increasing exponentially. This data includes images and videos captured by the car's sensors, which can contain sensitive personal information such as faces or license plates.

The amount of unstructured data is growing rapidly, and companies that fail to adopt technologies that enable unstructured data processing will suffer catastrophic failure.

Compare the pros and cons of different routes to image and video data protection to ensure privacy compliance for using, handling, and storing real-world visual data.

By leveraging AI to streamline FNOL document processing, companies can drastically lower claims processing costs, reduce (or even eliminate) manual data extraction, and drastically accelerate claims processing.