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-
• Computer Vision
• Natural Language Processing
• Machine Learning
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 Coming of Age
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.
Businesses are Ushering Change
Automation of redundant processes is only the first step which has begun by RPA. In the times to come, an intelligent organization will strategically design automation to connect its inter-connected systems and data sources by enabling users to quickly respond or adjust proactively to the myriad threats and opportunities in the business. Situational awareness is the product of this change and in order to push decision-making deeper into the organization, line staff need the inputs and information to answer the call of changing the business. Flexibility and agility is another component required in the dynamic world to adjust and mitigate problems with minimal operational losses.
The C-Suite needs near-real-time data which offers the means to query performance across different lines of business. Agile and strategy-driven decisions are needed to anticipate the impacts on enterprise events in a bid to avoid costly mistakes.
Cognitive Governance & Intelligent Automation
Cognitive governance is the strategic driver of intelligent automation in guiding multitudes of organizational outcomes. Cognitive governance facilitates the framework of adapting to intelligent automation for the creation of actionable business intelligence for a firm’s better decision-making capabilities thereby reducing the manual processes which lead to delays. If we speak in other words, cognitive governance methodically recognizes the lacunas across the firm, then guides intelligent automation to lessen or eradicate them.
The tectonic shift of analytics and automation can be seen as the next era evolution of business processes bringing together the smarter workforce and smarter tools to work in tandem. The mix of automation and organisational capabilities enables the workforce to handle greater volumes of data to deliver improved results. The markets and customer preferences are changing for good, and companies need to focus their efforts on managing the increased expectations through intelligent automation.
To conclude, Intelligent Automation is a change which businesses have to eventually embrace in the long run. Businesses enterprises have to be ready for the change, investing more resources dedicated to understanding the customer needs and expectations, which in turn will lead to improved productivity, reduced errors, lower-cost scalability ultimately a more contented customer experience.