Three Ways to Advance Office Automation

Three Ways to Advance Office Automation

There are three technologies that can advance work automation: mechanical process automation, cognitive automation, and social robotics. Each technology is suited to a different type of work, and as the table below shows, there are different connotations depending on the work to be done. Here are three ways I've compiled to advance office automation, I hope you find them helpful!

By far the easiest and most mature technology is mechanical process automation.

Its ability to be used to automate high-volume, low-complexity, and routine tasks. In automation is called ? swivel chair? Swivel chair? That is, data needs to be transferred from one software system to another. These tasks have traditionally been performed by humans. For example, they might involve taking input from an email or spreadsheet, processing that information by applying specific rules, and then entering the output into other business systems, such as ERP (enterprise resource planning) or CRM (customer relationship management). Creating a virtual workforce of software machine programs can help a company streamline its operations, as well as improve the quality and cost-effectiveness of its ****services.

Companies can use these cognitive automation technologies in three ways.

First, they can further automate or completely re-engineer their business processes. For example, let's take that car insurance industry as an example. Instead of having a real agent look at the car to assess the extent of the breakage, an auto policy holder could use an app equipped with smart recognition image technology that can process pictures of the damage to the car, assess the extent of the damage, estimate and categorize the claim's . . and then passes the information to a human for final review, thus greatly streamlining the claims process in terms of time and cost. For example, cognitive auto-replacement similar to Google Glass can transform the work of flight attendants. Such technologies enable the collapse of traditional jobs and the ability to supplement or replace routine activities, presenting opportunities in terms of efficiency, effectiveness, and impact.

The second area of opportunity for cognitive automation is the development of new products and services by companies. In the previous example, intelligent applications can be used as part of a new offer to car insurance customers, perhaps with new features, such as a chatbot that can provide additional, on-demand advice to policyholders about their insurance.

Finally, cognitive automation can be used to gain new insights about big data. When it comes to transforming a company's strategy around the future of work, the combination of talent analytics and machine learning can be a very powerful tool for analysis and prediction.

Another rapidly evolving area is social robotics.

Unlike its? predecessors.

Unlike its predecessor, this new generation of robots is not bolted to an assembly line; they are running the streets of the world we live in. They can be drones that fly and swim, humanoid robots that walk, or swarm robots that roll forward on wheels. They are programmable and can adapt to new tasks. This new generation of social robots is capable of automating both routine and non-routine tasks. Freed from the assembly line, social robots are able to work with humans in all kinds of applications that were unimaginable in previous years.

The Kiva robot is a good example. Amazon uses Kiva to make its order processing process more efficient. Instead of walking down an aisle to find the package they need, humans now simply stand on a platform while an army of social robots delivers the right package to them at the right time. By using robots to reorganize this process, instead of replacing human employees, Amazon has increased their productivity, as the application mentioned above allows human mediators to focus on? higher value-added? activities while applying more routine aspects of the job to fulfill more cases.

Amazon employees are now able to fulfill orders in 15 minutes that used to take 90 minutes, a 20% increase in efficiency; the small size of the robots has also allowed Amazon to increase the capacity of its inventory by 50%. Management oversees the entire processing flow, including work interactions between robots and humans.

As the half-life of skills continues to shrink, the growing cost of re-skilling is causing many organizations to rethink the risks associated with full-time employees to reduce the risk of obsolescence. Different variants of job and task automation, such as those mentioned in this post, can provide viable solutions to all of these concerns. Selecting the right technology for automating jobs and tasks and improving performance is therefore critical for companies, as is combining the selected technology with a comprehensive strategy for the future of work.