A Transformative Year for Automation Getting Things Done Efficiently

Given the rise of automation due to digitalization of business process in the workplace and the impact it has on the business processes that can benefit — it’s not surprising that many employees face the possible risk of technology-caused job losses. But in general, the rapid adoption of automation in businesses promises to improve job opportunities—ensuring humans work alongside machines more effectively and efficiently. The digital transformation process has started, yet it has not picked up. It is mainly used for productivity gains and efficiency. So, there will be an increased focus on driving higher productivity and growth and improving the Meantime to Resolution (MTTR).

While every organization deals with bigger workloads, Robotic Process Automation (RPA) is beginning to profoundly affect businesses by automating mundane and repetitive tasks, reducing operational costs, and enhancing productivity. It a key technology in digitalization automation. RPA plays a critical in digitalization transformation and will significantly impact industries such as Manufacturing, Healthcare, Financial Services, Healthcare, Retail, and more. Besides, RPA developers will be in high demand as businesses look to streamline their processes.

Chatbots are another area of focus as businesses start to get value-added services. Bots coupled with RPA can help businesses scale, personalize, and proactively resolve customer queries and issues by replicating human interactions —which is an important differentiator. While these chatbots enable a significant level of service and efficiency, humans must handle the more complex and difficult inquiries.

For example, retail chatbots save an average of 3 to 5 minutes per inquiry compared to traditional call centers, helping businesses achieve greater efficiency and cost reductions. However, human intervention will also be needed to bring value-added services to the customers.

Recent developments in Artificial Intelligence (AI) and Machine Learning (ML) have placed companies on the cusp of a new automation age. While much of the focus has been on learning algorithms and models, the most critical issue that makes AI valuable to business is how well the data is managed and used intelligently. AI and ML is important in digitalization transformation as every industry is looking at monetizing its data, earning different models and engines on the data set to produce desired results.

Process automation will be another interesting trend. With the digitalization of business processes, automation technologies are getting mainstream in process industries to help optimize resources, increase productivity and efficiency, streamline processes, and drive profits.

The concept of complete connectivity and automation will continue to transform the automotive industry and change the nature of the existing demand. Massive data is generated with the proliferation of autonomous cars and vehicle connectivity improvements. Gathering this data from cars and using analytics to derive valuable insights helps enhance autonomous driving accuracy and performance and develops intelligent autonomy.

When it comes to automation, data security continues to be a significant concern for a lot of companies. VPN is rarely used nowadays to create a secure connection. Today, we have a range of new technologies that address data governance and cybersecurity issues. However, along with data security also comes new security threats. As a result, organizations need to educate their employees about transferring data used in automated business processes over secure channels to ensure that it is not compromised.