Along with machine learning and deep learning, AI is a branch of computer science that attempts to simulate intelligent behavior in machines. It underpins technologies like robotics, natural language processing (NLP), cognitive computing, robotic process automation, and AIOps. Although AI does have its serious limitations, the technology is poised to revolutionize almost every industry over the coming decades. U.S. companies including Amazon, Apple, Facebook, Google, Netflix, and Microsoft are calling themselves “AI-first” companies, while, in China, Baidu, Tencent, DJI, and SenseTime have also made AI prominent in their growth plans.
The use cases tend to break down into process automation tools:
AI is an essential part of digital transformation because it helps companies automate processes and increase efficiency through mechanization. Industries, as varied as travel, transportation, logistics, retail, automotive, oil and gas, chemicals, consumer packaged goods, agriculture, banking, insurance, as well as aerospace, and defense, are embracing AI because of its ability to lower costs, increase productivity, and help with personalization marketing.
Process automation automates a business procedure. AI helps to reduce manual labor, and increase efficiency, which usually improves a company’s profitability. Process automation can reduce human error. More efficient processes allow organizations to be nimble, which can be a competitive advantage, especially in fast-moving markets.
Process automation simplifies quality control and helps with governance and compliance, which often requires extensive documentation. It allows organizations to monitor their quality control function, helping identify problems that might occur in a company’s manufacturing and or services delivery process.
In the manufacturing industry, production line robots use AI to increase efficiency and productivity by reducing manual labor. Customer service departments are replacing representatives as process automation provides automated support for customers with automated emails or via automatically routed phone calls that go to specific agents based on information about a customer’s account and his or her past order history. Process automation helps retailers better manage their inventory. Payroll, an extremely time-consuming process, can utilize RPA to assist in verifying employee data, validating timesheets, calculating taxes and insurance, as well as cutting and depositing checks.
Other RPA applications can automate entire supply chains, from order entry to finding inventory, to shipping, and confirming the final delivery of goods. RPA tools replace humans by following code instructions and taking control of a keyboard and operating on a computer system’s user interface. Its main goal is to reduce the burden of repetitive, mindless tasks normally left to humans, allowing them to focus on more complicated — and usually more profitable — higher-order tasks.
Data gathering, data cleansing, event triggering, and model building can all be handled by RPA. It is a necessary tool in today’s fast-paced digital environment. No digital transformation will occur without some RPA being involved. Businesses can optimize their resources, reduce risks associated with human errors, and replace humans in simple assignments like scraping websites or ones as complex as routing specific technical problems to appropriate departments and agents.