Mahesh Vinayagam

Biography

Mahesh Vinayagam is the CEO and Founder of qBotica, Inc., a pure play Robotics Process Automation (RPA) and Artificial Intelligence (AI) firm specializing in providing Intelligent Automation products and solutions. qBotica provides industry leading RPA as a Service platform called Doqument , an Intelligent Process Discovery product called Disqover and enables clients to develop their Center of Excellence (CoE), Robotic Process Automation (RPA),OCR, Machine Learning and Conversational AI capabilities. Mr. Vinayagam has extensive global experience starting with his early career in Chennai, India, then moving to Brighton, UK in year 2000 managing large global teams for financial services giant and currently residing in the USA since 2007. Mr. Vinayagam also serves as an advisor, mentor and volunteer for several technology startups, including Artificial Intelligence and Blockchain industries. He serves on the board for an AI driven home service startup, Kozee Labs, and is widely respected for his insights and background in the technology field.

He also serves on the Forbes Technology Council, Non-Profit Boards and several mentor roles with impact accelerator SeedSpot and the Founders Lab within the Arizona State University (ASU). Mr. Vinayagam is also the vice-chair of the Global Association of Enterprise Architects (AEA).

Talk

Streamlining Enterprise Processes With an Intelligent Automation Ecosystem

A Deep Dive on how to build diversified automation ecosystem maximizing current investments and scale enterprise automation. Automation is revolutionizing every industry through its ubiquitous ability to work with any software system, infrastructure and any industry domain. Recently, there is much discussion around whether RPA is a temporary solution with a failing Return of Investment and the adoption is more of a hype than actually empowering Digital Transformation.

This presentation discusses the merits of utilizing the Automation Ecosystem or otherwise called OneOffice or HyperAutomation to re-imagine the Future of Efficiency in enterprises without undertaking multi-year Digital Transformation projects. We also discuss what leads RPA initiatives to fail on Return on Investment promises and how to avoid this. Finally, discussions circling the evolution of RPA into Intelligent Automation using technologies such as Machine Learning, Artificial Intelligence and Computer Vision for a Cognitive Future.

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