RAGE Frameworks Inc. is a leader in knowledge-based automation technology and services providing AI for the Enterprise, and AIBusiness recently caught up with their Head of Marketing and Corporate Development, Joy Dasgupta, to hear about what they are doing in the AI-sphere. Their mission is to enable unconstrained Business Transformation by bringing unprecedented Speed, Flexibility and Insight to solve mission critical enterprise business problems.
Joy Dasgupta heads up Marketing and Corporate Development and in this role he is responsible for RAGE’s go-to-market strategy and execution. He is also responsible for establishing channel relationships to take Rage solutions and products into new markets as well as provide implementation and support services.
AIBusiness asked Dasgupta to outline their key proposition of Rage Frameworks in enabling an AI-powered business?
“We provide Automation through AI for the Enterprise, and our mission is to bring the power of AI and unprecedented Speed, Flexibility and insight to solve enterprise business problems”, Dasgupta says.
“Our platform and products address widespread and chronic issues in AI of language, dimensionality, context, reasoning visibility and variability, making our AI applications practical, quick to train and easy to deploy to solve real Enterprise business problems”.
“Using our patented, no-code, deep learning RAGE-AI platform we model business needs without programming to achieve dramatic speed and flexibility”, Dasgupta says. He explains how Rage Frameworks’ solutions are currently being used by some of the largest banks, consulting companies, high-tech firms, logistics and consumer product firms globally, which is showing the growth of the company on a global scale.
When asked to outline a couple of key enterprise use cases for RAGE Frameworks’ products and solutions, Dasgupta shows us a graphic image to outline how their RAGE AI Intelligent Machines and Frameworks work.
Rage Frameworks have built no less than 18 Intelligent Machines, Dasgupta tells us, several of which are industry firsts. The graphic below outlines their intelligent machines and frameworks. In centre, you can see all of Rage Framework’s engines, and the outer section shows the potential of the wide range of business applications that can be improved by applying the software.
As we are approaching the new year very soon, AIBusiness was eager to hear more about RAGE’s enterprise strategy in the short-and long-term.
“Are there any particular industry verticals you are focusing on for your solutions going forward, or any particular applications on the horizon?”
“Our initial focus was on Financial Services”, Dasgupta begins. “With a strongly established base there we have now branched out into CPG, Insurance, High Tech, and Consulting Industries”. He mentions how their channel partners are now building new solutions on RAGE-AI for additional industries as well.
“Our focus now is to enable Enterprise Automation through AI, in any industry, either through our Intelligent Machines that apply across industries, like Supplier Risk Monitoring, or custom one-off solutions, built in under 90 days and in a perpetually adaptive manner”.
We were also interested in learning what RAGE sees as the major challenges in applying AI in the Enterprise, and Dasgupta narrowed it down to three main challenges that AI technologies have to overcome in order to be successful in the non-vision world of business processes running an Enterprise.
“First, we have language”, Dasgupta says, “and what follows after is context and reasoning”. “Today’s AI technologies struggle to process language as humans do”, Dasgupta explains. “This is because the large majority of the current implementations approach text as data and not as language. They apply the same techniques that worked on spatial data even with text”.
“The second challenge has to do with understanding context. Context is related to the language challenge but is sufficiently significant that it should be called out separately”, Dasgupta says. “As the natural language text is processed, it needs to be done in the right context. The right context can only be developed if the technology focuses on the language structure not just on the words in the text as most current technologies seem to be doing”.
“A third challenge is the traceability of reasoning deployed by the solution to reach its conclusion. Our approach has been focused on solving precisely these challenges”, Dasgupta explains.
AIBusiness wanted to know what makes RAGE ‘stand out from the crowd’, so we asked: ‘What makes your approach to AI in the Enterprise unique’?
“The patented RAGE-AI platform comes with 20 engines that enable the rapid design and deployment of Automation and Analytics solutions, with integrated AI and machine learning”, Dasgupta replies.
“Using RAGE-AI you can rapidly assemble an Intelligent Machine that can process structured, semi-structured [e.g. contracts] or unstructured [e.g. news articles] content and wrap a full industrial strength application around it, all in the same modeling platform, and fit it in easily within pre-existing IT environments within an Enterprise. And you can accomplish this in under 90 days”.