Artificial Intelligence (AI) technologies like Robotic Process Automation (RPA) and machine learning are the biggest disruptors in global business since the Internet. They are transforming work by stripping away mundane, repetitive tasks and freeing up people to handle more advanced tasks.

Many industries are seeing innovative solutions from unchained human staff, thanks to digital automation. Some of the well-documented sectors include healthcare—where about 86% of providers and companies use some form of AI—and information technology, which always has the pulse of latest tech trends.

However, other sectors are unlocking innovation in surprising ways by leveraging the strengths of both their workforces. In this series, we’ll cover other industries and how they find innovation through these means.



Telecom is another sector that requires the processing of an overwhelming amount of data. Digital data flows are doubling in size every two years. IDC estimates data annual data flows will reach 44 trillion gigabites by 2020 (10 times higher than 2013).

The networks that manage this data already use automated process to route traffic and better use underutilized resources. Automation technologies like orchestration, data analytics, intent-based management will be leaned on heavily to scale services with the needs of future users.

By using machine learning and robotic automation, telecom companies can reduce manual intervention, manage volume, introduce flexibility, and increase speed to respond – without having to write off large investments or undergo a complete technical overhaul.



By now, we have all heard about autonomous-driving vehicles. Tech giants like Google, Tesla, and Apple (rumored) have devoted resources to research and testing this technology. But other automated techniques are being planned for use in mass transportation. Some are closer than cars flying down highways with no drivers.

Connected vehicle technology, where cars, buses, trains, and trucks talk to each other and traffic infrastructure, has potential to have more pervasive. Sifting through all the shared data will surely be a task only RPA can handle. The result could be smarter traffic control (signaling to drivers to avoid accidents), reduced vehicle emissions, and on-time public transit information.

In Australia, the New South Wales Department of Transport has been testing connected vehicles for three years. Sixty trucks and 11 buses sync with traffic signals and hazard alerts to collect and transmit data back to the home office. Using digital automation, the department plans to analyze the collected data to predict and deploy safety, environmental, and traffic efficiency improvements, eventually expanding to on-demand public transportation.



Partnered together effectively, digital workforces can empower human workers to focus on creativity and innovation and less on manual administrative tasks and mundane analysis. Let your company benefit from the freedom of your human workers, while saving time and money. Contact us today to find out how we can help.



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