The Changing Landscape Dominated by Intelligent Automation
- by 7wData
Robots and Artificial Intelligence are redefining the rules for business execution and organizational agility in the digital transformation era!
Intelligent Automation (IA), an integration of RPA and Artificial Intelligence have ushered the fourth industrial revolution or the second machine age by challenging existing business models and strategizing new blueprints for the digital industrial era. With changing technologies, as the RPA market matures, traditional RPA and other Automation technologies will pave way for AI and analytics to support intelligent automation, integrating case management, BPM, workflows and creating intelligent automation suites which will play a key role into digital transformation.
Digital transformation of late has been very much limited to the repetitive and relatively simplistic process areas which are rule driven. Although when we combine data-driven intelligence and case management with process automation, the entire gamut of processes which can be automated or otherwise managed changes. This change in the process is bought by Intelligent Automation which broadly covers-
At the core, AI and decisions are put to the orchestration of these devices, apps, and functionalities, organizations to achieve true intelligent automation.
Intelligent automation is rapidly coming of age as machines systems and bots become smart in the mainstream. Intelligent Automation is also attracting new investors as an investment in new technology is driven foremost by the goals of scalability and organizational agility. Seeking more, faster, and most often with fewer personnel, enterprises prioritize technology investments which can speed time to market, to empower workers to make better-informed decisions, as well as to reduce the overhead otherwise required with delivering products and services to market.
The convergence of technology and cognitive science offers businesses with powerful new tools to challenge new business obstacles with more certainty. The real challenge is to understand the business legacy systems and the change towards an intelligent automation enterprise. An intelligent organization is designed to understand situational awareness and the tools which it needs to adapt in order to analyse the dynamic data in real or near-real time operational environment.
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