In this present difficult environment, there is a real longing across global boardrooms to digitally transform labor so it’s done much quicker, smarter, more efficiently – with fewer resources than before.
An ever more logical route to attaining these goals is the embracing of intelligent automation that runs a digital workforce; an AI-powered, ever-evolving, super resource that’s business-ready and IT accepted.
This is a workforce of digital workers ready to be skilled by business people to deliver ever more complex work, not just across the front, middle and back-office – but across the entire enterprise – in any industry sector.
It operates with entire integrity and up to 150 times faster than people, with zero errors, 24/7. This digital workforce is getting ever closer to humans by learning from and operating like them.
It’s a workforce that’s easily trained and put to work by people, then re-trained for fresh work, while freeing people to work with them, or do more work that suits their innate skills better.
Digital workers are the ultimate team players, sharers and managers of vast workloads and, unlike any other robot, they proactively work by interweaving AI capabilities to inter-operate effortlessly across ever-changing digital environments – without fail.
They can read different screens, layouts or fonts, application versions, system settings, permissions and language. They ingest and sort semi-structured and unstructured data from any source, across all IT systems, while providing quality checks, detecting errors and passing exceptions to people for input.
Digital workers also uniquely access and read the user interface of any current and even future technology – without requiring coding. It’s this universal interoperability capability that enables any new technology – especially from our ‘Digital Exchange’, to be easily business-consumed, safety tested and swiftly drag-and-dropped into enterprise process flows.
It is about using digital workers to easily exploit artificial intelligence (AI), deep analytics and a growing array of cognitive platforms; natural language processing (NLP), speech recognition, sentiment and risk analysis, machine learning (ML) and reasoning and more.
These capabilities can be augmented by digital workers to perform ever more complex, end-to-end activities that drive digital transformation across the enterprise – and at a business-required pace.
