Intelligent Automation is the next pitstop for Enterprises riding the digital transformation journey

Robotic Process Automation (RPA) has changed how enterprises deal with their rule-based, repetitive manual work that takes up a lot of resource time, accompanied by occasional rectifications adding to the processing time.  It comes as no surprise enterprises look up to technology as a rescue. The massive adoption of Robotic Process Automation (RPA) across verticals proves that growing to become a $1.5 billion business in 2020.

While RPA is an incredibly valuable proposition to organizations, it is Artificial Intelligence backed automation that will propel enterprises to scale up to reach new heights. Today Intelligent automation is hailed as RPA's worthy successor, leveraging machine learning, NLP, deep learning, computer vision technologies to reduce or eliminate manual efforts. Intelligent Automation interacts and executes processes a human might have done in the past but in a more efficient, and more effective manner.

If Robotic Process Automation is the vigour of Enterprise operations, Intelligent Automation is the brain behind its efficiency

Automated workflows are built alongside existing business systems on repetitive workflows, for instance, inventory management, e-mail management processes handled by software bots with cognitive thinking capabilities.

Intelligent Automation can mimic humans, learn from them over time through successive model iterations, and may perform better at rule-based mundane tasks than their human counterparts. Build on Artificial Intelligence, the following technologies indeed make Robotic Process Automation a smarter takeaway for enterprises.

Technologies that make RPA intelligent

• Machine Learning
• Computer Vision
• Deep Learning
• Natural Language Processing (NLP)

Intelligent Automation incorporates traditional Robotic Process Automation, machine learning, analytical reasoning, logical problem-solving, smart workflow management, cognitive bots, and natural language processing to streamline workflows in a bid to deliver visible process improvements.

Adopting to Intelligent Automation comes with its perks, powering enterprises to overcome infrastructure and expertise bottlenecks. Intelligent Automation is a solution built for business use cases as discussed below.

Use Cases in Intelligent Automation

Travel & Transportation

• Cargo management
• Travel recommendation engines
• Route planning
• Price forecasting

IT infrastructure & Operations

• Auto resolution of service tickets
• Predictive analytics led server management
• Threat detection
• Predictive infrastructure scaling
• Log analysis

Government and NGOs

• Disaster alerts
• Weather forecasting
• Relief Management
• Deforestation Forecasting