| |July 20179CIOReviewEvolution of cutting-edge technologies like Artificial Intelligence, Robotics and Analytics, are enabling organizations to look for "SMART AUTOMATION" importance of process, governance, people and culture aspects of automation. In absence of right automation culture and processes, tools will only take this far. With automation happening across IT development projects, day to day IT operations and back office/mid office business processes, there is greater need in organizations to move from siloed to systematic automation, for handling scale, user experience and dramatic cost reduction. This basically means, cost reduction isn't really the driver for automation anymore. How does automation help organizations achieve faster GTM (Go to market), business insights, predictive and model driven decisions and self-service take the centre stage in emerging world of automation. Supported by Artificial Intelligence, RPA and Cognitive TechnologiesEvolution of cutting-edge technologies like Artificial Intelligence, Robotics and Analytics, are enabling organizations to look for "SMART AUTOMATION". There has never been so many technologies available at CIO's anvil to support him into automation story. Challenge here for an organization is to pick up right set of technologies, be it open source or commercials which can really help them achieve full automation benefits. With the huge rise in quantum of enterprise as well as social data, techniques like machine learning, deep learning and neural networks become more effective. More the quality and volume of underlying data, more predictive can be machine leaning and cognitive technologies in driving mart automation.Approach to Enterprise AutomationChallenge which organizations typically face in their automation journey is identifying right set of technologies, where and how to focus on cognitive and more importantly looking beyond siloed and isolated view of automation. RPA or SPA are not the tools for business processes or shared services anymore. How we bring in automation tools and techniques which can benefit organizations across IT lifecycle, is really the key. With boundaries blurring between Development and Operations teams (though DevOps), there is greater need to look for automation adoption across complete ALM lifecycle and beyond. Some of the scenarios include robotics in Testing, AI in predicting defects and patterns/signals from production systems in development environments. Tron Smart Automation from NIIT Technologies combines these technologies and best-of-breed tools across IT infrastructure, Applications, and Business Operations to unleash the power of holistic automation. Some of examples in enterprise level automation include:1. Automation of complete application lifecycle from requirements to production and passing through quality gates in an automated and measurable way. 2. Automation of IT operations through centralized and fully automated service desk operations.3. Automation of Business operations through manual to automated processesMeasuring Automation MaturityAnother fascinating aspect of automation is the measurement of it. Every project or IT department does their bit on automation but wouldn't it be great to measure the maturity of an organization on automation front. NIIT Technologies has created an automation maturity framework (which is part of its Tron Smart Automation platform) which can really help organizations build a pragmatic roadmap to automation while leveraging their investments on tool sets. Maturity framework not just looks at usage of technology/tools but also brings in aspects of people, process, and culture in an organization for enterprise automation. Dhiraj Kukreja
< Page 8 | Page 10 >