robotic process automation and machine learning from ravitejafe's blog

IPA mimics activities carried out by humans and, over time, learns to do them even better. Traditional levers of rule-based automation are augmented with decision-making capabilities thanks to advances in deep learning and cognitive technology. The promise of IPA is radically enhanced efficiency, increased worker performance, reduction of operational risks, and improved response times and customer journey experiences.” 

5G also complements other emerging technologies such as IoT (Internet of Things) and AI/ML (Artificial Intelligence/Machine Learning) to further drive digital transformation both internally within an organization and externally in customer engagements.

Quality of Experience (QoE) and Quality of Service (QoS)

While 5G promises a whole new equilibrium of enhanced customer experience that was never witnessed before, measuring its QoE remains a puzzle.

The 5G architecture implements end-to-end network slicing to ensure QoS for all the new use cases. To meet service specific performance objectives, virtual networks are created that receive dynamically allocated end-to-end virtual resources. Emergency services would receive a high priority slice when compared to other less critical services, thus ensuring higher QoS.

By applying the concept of intelligent automation in the software testing lifecycle to achieve intelligent test automation, the digital-first organizations can build a process that is embedded with next-generation technologies and is robust enough to tackle continuous changes. 

Driving agility and quality with Intelligent Test Automation 

In an effort to accelerate digital transformation, organizations are adopting the modern software development methodologies of DevOps and Quality Engineering, while shifting Quality Assurance to the left.  

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