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How AI and Automation Will Leverage the Growth of a Digital WorkforceBy CIOAdvisor Apac | Tuesday, January 29, 2019
Are businesses moving to Automation? Well, managing the modern customer experience today means that enterprises are inclining towards wanting an automated and digital workforce. Robotic Process Automation (RPA) has become more than just the automation of repetitive tasks. An enterprise-level RPA platform is here to connect technologies of the past to the technologies of the future.
An effective enterprise RPA accounts for streamlining digital transformation by eliminating barriers to adoption, enabling swapping of technologies and freeing up IT resources to focus on higher priorities. An excellent digital strategy demands data, but the problem arises when this data comes to the organization in varying formats. There business processes that are fragmented are handled by various third-party entities or call and services centers, leaving the information restricted to them which is undocumented and manually executed.
Check out CIO Advisor APAC’s Top 10 Robotic Process Automation Consulting/ Services Companies - Exent, QAssure Technologies,...
Listed below are three skills that are necessary for digital workers to have human-like abilities to work efficiently alongside their human counterparts.
1. Visual Perception: This lets the digital workers read, write, understand and contextualize information visually. These workers interact using computer vision (through surface automation) to read documents and understand content within images. These skills can be further used to scan and follow the different job lists that are present online and smartly optimize the labor hours. They can also qualify or disqualify someone for loan creating a more transparent and efficient process.
2. Problem Solving and Learning: It helps the workers to use rule-based workflow and predictive approaches via machine learning algorithms. Through these skills, digital workers can take decisions and leverage machine-learning models to cope with non-rules-based decisions.
Learning enhances intelligent automation platforms. Through advanced analytics and machine learning, digital workers must be able to adapt to changes in data or patterns. They can be trained to cope with predictive decisions and monitor the possible risks.
3. Knowledge and insight: This enables robots to accurately interpret information from various sources and deliver helpful ideas using AI techniques. This means that digital workers would now be able to communicate in a language that is specific to business and derive decisions based on the complex data structures.
The future of automated workforce will incorporate a blending of human and digital labor. A digital workforce can learn by observing the daily routine tasks and cater more information from IoT-enabled devices. This move is towards a technology-driven world wherein the future organizations will have digital workforce and humans will be expected to trust and rely on their digital counterparts.