Leverage AI to optimize customer service outcomes

Nitesh DudhiaContributorShare on TwitterNitesh Dudhia is co-founder and CBO of Aikon Labs Pvt Ltd. Nitesh has worked on market opportunity identification, business planning and strategy formulation and execution for digital transformation.

As offices worldwide shift to remote work, our interactions with customers and colleagues have evolved in tandem. Professionals who once relied on face-to-face communication and firm handshakes must now close deals in a world where both are rare. Coworkers we once sat beside every day are now only available over Slack and Zoom, changing the nature of internal communication as well.

While this new reality presents a challenge, the advancement of key technologies allows us to not just adapt, but thrive. We are now on the precipice of the biggest revolution in workplace communication since the invention of the telephone.

It's not enough to simply accept the new status quo, particularly as the overall economic climate remains tenuous. Artificial intelligence has much to offer in improving the way we speak to one another in the social distance era, and has already seen wide adoption in certain areas. Much of this algorithmic work has gone on behind the scenes of our most-used apps, such as Google Meet's noise-canceling technology, which uses an AI to mute certain extraneous sounds on video calls. Other advances work in real-time right before our eyes - like Zoom's myriad virtual backgrounds, or the automatic transcription and translation technology built into most video conferencing apps.

This kind of technology has helped employees realize that, despite the unprecedented shift to remote work, digital conversations do not just strive to recreate the in-person experience - rather, they can improve upon the way we communicate entirely.

It's estimated that 65% of the workforce will be working remotely within the next five years. With a more hands-on approach to AI - that is, using the technology to actually augment everyday communications - workers can gain insight into concepts, workflows and ideas that would otherwise go unnoticed.

Your customer service experience

Roughly 55% of the data companies collect falls into the category of dark data": information that goes completely unused, kept on an internal server until it's eventually wiped. Any company with a customer service department is invariably growing their stock of dark data with every chat log, email exchange and recorded call.

When a customer phones in with a query or complaint, they're told early on that their call may be recorded for quality assurance purposes." Given how cheap data storage has become, there's no maybe" about it. The question is what to do with this data.