Introducing View

The world as we know it changed in November 2022.  While decades of work had been invested already in artificial intelligence, machine learning, analytics, and data management, November 2022 marked a turning point. OpenAI launched ChatGPT, revealing a glimpse of the true potential of large language models and generative pre-trained transformers.  Although AI was not a new concept, it suddenly became very real, opening our eyes to the future and the possibilities that lie ahead. 

Within two months, most board room and technology conversations shifted into AI conversations. 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, largely due to regulation, even though cloud service providers have incredible security controls. Second, a small percentage of software engineers have the skillset to create solutions that enable AI experiences to be built using this private data end to end.  And third, enterprise companies struggle with fragmented data management platforms and products, making it difficult to make technology decisions without limiting flexibility in other areas of their data architecture. This complexity also makes it challenging for enterprises to identify and prepare appropriate data assets for AI-powered experiences.

I’m the founder and CEO of View Systems Inc (View) and this blog post will explain why we feel we have crafted a solution for these three challenges to help organizations on their AI journey.  This is the most rapid technology evolution the world has seen, and we aim to provide the bridge that helps businesses accelerate this journey.

Here at View, we have built what we consider to be an “easy button” for enabling AI with your own data, without compromising on control of your data, its sovereignty, or its governance.  This means an end-to-end horizontal platform that allows you to go from your data, through a series of processing and preparation tasks, to processed data residing in repositories useful to AI, to an in-the-box AI experience using your data.  All without having your data leave your control or your security perimeter.  

Imagine being able to programmatically feed your data assets (structured or unstructured) into a system that then prepares and processes your data according to rules you define, and emits those resultant data assets into repositories useful to AI, and then immediately begin chatting with your data.

In addition to building the “easy button”, we have built the platform in such a way that a developer can customize and configure virtually every aspect of the system according to their needs – even as far as integrating View components into their data workflows or integrating their data workflows into View. 

Whether you are looking to improve the effectiveness of your sales organization, offload first-level customer support conversations to an AI-powered chatbot, understand your quarterly financials, or better train your staff on how your products work, we are here to help.  Customers can be up and running with View, processing and chatting with their data, in a matter of minutes as opposed to weeks and months.  We provide a level of ROI that is unmatched, particularly when compared with internal projects with unknown and unknowable ROI, costing dozens of engineers and thousands of hours.  

We are opening View to a select few beta customers today and would love to chat with you to understand your use cases and how we may be able to help accelerate your AI journey!  If you’d like to participate in the beta, please sign up here.