News in the Channel - Issue #6

AI AND THE OFFICE OF TOMORROW

52%

of business leaders believe they could automate 10-30% of their daily workload

48%

of businesses are using machine learning to effectively make use of large data sets

DocTech customers are now able to migrate 85% of manual admin and data input tasks to automated digital solutions, saving them vast amounts of time and money. “

St Vincent revealed it saved £22,500 per year by migrating its paper-based maintenance reporting processes – just one part of its overall operation – online. Machine learning algorithms can also be used to analyse large datasets and identify patterns and trends that might not be immediately apparent to human analysts, enabling firms to make better decisions based on data-driven insights. Improved customer satisfaction Another potential benefit of automation and machine learning is the ability to provide more personalised experiences for customers and employees. Machine learning algorithms, for example, can be used to analyse customer behaviour and preferences and make personalised product recommendations based on that data. This will inevitably lead to improved customer satisfaction and loyalty. It is something that is already proving popular, as 48% of businesses are using machine learning to effectively make use of large data sets, according to research by EarthWeb. Reducing labour expenses As automated processes increase, it is likely that organisations going through high growth won’t need to constantly recruit, meaning

labour costs will be less draining on profits. A report by PwC suggests up to 30% of existing UK jobs could be impacted by automation by the early 2030s – although it adds that many jobs would change rather than disappear – yet it also highlights “new AI-related technologies will also boost productivity and generate additional jobs elsewhere in the economy”. A shifting job market could create a need for workers to reskill to stay competitive in their industry. DocTech customers, for example, are now able to migrate 85% of manual admin and data input tasks to automated digital solutions, saving them vast amounts of time and money. With great power comes great responsibility As these technologies are given more autonomy and control, businesses must remain transparent and accountable in their use of automation and machine learning. Developing ethical guidelines and implementing oversight mechanisms to ensure fair and responsible use will be vital in the future. It may also involve investing in training and reskilling programs to help workers adapt to the changing job market. What is almost guaranteed is automation and machine learning will play a pivotal role in office of the future.

”