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    Home > Business > How technology has made us communicate better in crisis
    Business

    How technology has made us communicate better in crisis

    How technology has made us communicate better in crisis

    Published by gbaf mag

    Posted on October 27, 2020

    Featured image for article about Business

    By Pete Hanlon, CTO of Moneypenny

    COVID-19 has taught us a lot. We have embraced technology, some might say, survived so far because of it, yet also craved that human interaction. Working hand-in-hand, these two elements will shape our future.

    The impact of COVID-19 has been immense, not just health-wise but also economically. To date, people have shown their resilience, adapting quickly to a remote way of working and through the use of technology.

    We have embraced working remotely, using video conferencing tools, for example to give us some contact, some ‘normal’. We have proven we can do it, so the question is will this new normal we have adapted to, be sticking around?

    Pre-pandemic, Moneypenny was operating in thrive mode and we rapidly had to switch to survival mode. The first challenge was arranging for our 1,000 employees to all work from home during the initial lockdown whilst offering a near seamless service to our customers. No mean feat for a company that had always been office based for our front line people.

    Luckily for us, the first Covid lockdown happened 3 weeks after we’d just finished an 18 month long tech project to move our telephony system from on premise to the cloud. This meant we had some options but we did need to work tirelessly to get everyone home without missing any customers call.

    We spent February and March trialing solutions and coming up with a plan and then we moved people to home working, team by team to assess call quality. Three weeks later everyone was working from home and it was service as normal for our clients.

    This wouldn’t have been possible without a little strategizing and a lot of tech, not to mention a superb team that worked tirelessly to make it happen. Using our already brilliant tech as well as working with tech giants including  Microsoft Teams, Twillio, Workplace by Facebook and Amazon Workspace, for example, who have all reported record levels of usage, we were able to look after our customers and our people. Our weekly mindfulness sessions took place online instead of in the office, team meetings happened virtually  with vouchers for pizza, chocolate brownies were delivered to employees doors  as a well-earned treat and our management teams shared their business and personal experiences via video conferencing.

    Maintaining communication was, and remains, key. The very nature of our business gave us a head start in helping businesses, large and small, manage their calls throughout this, specifically tailoring our systems to their specific needs at any given time. Yet, we have embraced further new tech to work alongside our people for our clients: We quickly integrated Microsoft Teams into our systems so that our PAs could keep a track of their clients’ availability and efficiently manage calls whilst clients were working from home; We developed new online screening bots for clients to use in order to give them piece of mind that customers were symptom-free before any necessary meetings and using the same innovations to ensure social distancing and wellbeing to those who come into the office when restrictions allow. It seemed a very natural extension to the support we provide for businesses.

    Pete Hanlon

    Pete Hanlon

    We are also finding that our customers are using our in-depth analysis systems to get a better understanding of call duration and patterns in calls and so on, as well as for reporting. And we are using them alongside deep learning technologies to identify common requests and common themes so that we can better serve our clients.

    Before the pandemic there was significant movement towards more of a conversational and interactive experience when it comes to digital assistant technologies. This has only been heightened as natural language processing is advancing exponentially.

    This demand for digital switchboard and new innovations has been a growth area during lockdown as companies were looking at ways to manage all their calls without in-house receptionists and switchboards.

    As part of our business model, we offered digital switchboard for free to businesses for three months to help them at the start of lockdown allowing people to engage with an automated assistant by simply talking. Through this use, we’ve found that a voice-controlled switchboard is really gaining in popularity following the widespread adoption and acceptance of technologies like Alexa and Google in people’s homes.

    A key area of focus for us, is the area of natural language processing (NLP), bridging the gap further between how we communicate and what a computer can understand. The field is advancing rapidly, and we are actively leveraging pre-trained transformer-based models such as BERT, RoBerta, Longformer to analyze and summarize live chat content. We are also monitoring and testing emerging deep learning models, such as Bigbird from Google and GPT-3 from OpenAI, to help advance our chat and digital switchboard offerings further.

    Speech detection continues to get stronger. Currently the technology does not outperform our brilliant people, in my opinion, but it is starting to get closer to the matched experience. For us, however, our tech works hand-in-hand with our people enabling them to deliver brilliant and highly efficient customer service. I can’t see technology replacing people anytime soon. I do see it super-charging people in a way to be even better at what they do so we will just have to watch this space.

    We always put trust at the heart of our tech roadmap and ask ourselves ‘Do our customers or our customers customers’ benefit from this tech innovation and does it improve the overall customer experience’. If the answer is yes, we progress

    And finally, linking back to the relationship between humanity and tech, I believe that the future will be in video-based communication. It is increasingly important to us and we are investigating how deep learning can be applied to real-time video in order to power the future.

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