View Blog

View Systems announced today general availability of View AI, aiming to streamline how organizations manage and use their data as part of their AI strategy. Available both on premises and in the cloud, View AI supports the entire data lifecycle, from ingestion to analysis and AI interaction. By providing a practical approach to effective data management, the comprehensive View platform provides an end-to-end solution that transforms raw data into AI-ready assets with built-in deployable conversational experiences, helping enterprises gain valuable insights from their data while maintaining data sovereignty and compliance.

View Assistant is an integrated AI-powered conversational experience that you can use to glean insights from your data for a variety of purposes: cost optimization, knowledge acquisition, prediction, and better understanding customers and finances. A question we are asked often is “how can I deploy this capability in a way that the rest of the employees in my company can use it?”. Clearly not everyone needs access to the entirety of the AI and data infrastructure, but certainly everyone can benefit from the value it brings to the table. 

Businesses have a deluge of data – present in different formats, stored in a wide variety of repositories, and spread across a wide variety of internal and external silos.  The concept of data management is not new – rather it has been relevant since the moment electronic information was first written to persistent storage (punch cards and cathode ray tubes, anyone?).  

View has joined NVIDIA Inception, a program that nurtures startups revolutionizing industries with technological advancements. The program will help bring the View Information Platform to market with additional go-to-market support, training and technology assistance while offering the opportunity to collaborate with industry-leading experts and other AI-driven organizations.

UDR is View’s patent-pending data format that creates a homogeneous representation of heterogeneous data from heterogeneous sources. Once generated, UDR is stored in Lexi for semantic search and data set retrieval. Resultant data can be coupled with a language model and vector repository, enabling interactive, conversational experiences with your data.

While virtually every business wants and needs AI to fuel business transformation, the adoption of AI continues to face three main challenges. First, businesses are reluctant to share their data with third-party vendors...