AI in Gov promotes the advancement of knowledge-based processes that are aided by people – yet enhanced by the use of intelligent machines. As a result, AI in Gov’s technology can help to replace some of the mundane tasks typically performed, freeing government employees for more fulfilling work while enabling them to be more productive. This can help transform the many inefficient business processes that exist within the government and save taxpayers millions of dollars. AI in Gov uses a patented AI-enabled platform built for end-to-end automation of knowledge-based processes. The same technology has been successfully used by some of the largest banks, manufacturers, consulting companies, high tech firms, and logistics companies in the world. This patented technology platform is a pioneering application of context-specific and traceable AI technology built on a no-code, model-driven platform. It uses intelligent machines, or platforms, to provide the widest array of integrated building blocks available to solve the vexing efficiency challenges that are plaguing state and local governments. As a result, AI in Gov provides the unprecedented speed, flexibility, and insight needed to solve mission-critical government business problems — in less than 90 days. It’s AI that works. AI in Gov was founded by Dr. Venkat Srinivasan, an expert in knowledge-based systems architectures, computational linguistics and natural language processing, with a long history of entrepreneurial successes. He is the author of a book titled, The Intelligent Enterprise in the Era of BigData, and has more than 30 peer reviewed publications and two edited volumes to his credit. His research has appeared in a number of prestigious academic journals including the Journal of Finance, Management Science, Financial Management, European Journal of Operations Research, and others, as well as business publications such as The Wall Street Journal. Venkat also holds several patents related to flexible technology architectures. A serial entrepreneur, Venkat most recently served as founder, chairman and CEO of RAGE Frameworks prior to its successful acquisition by Genpact. At RAGE, he pioneered the creation of AI-based intelligent machines in a wide range of industries and for a broad range of use cases. He also successfully built and exited eCredit and then Corporate Fundamentals.