Over the years, many companies have hoped to get more benefits from technologies such as robotics, automation, and artificial intelligence, but they are confused and confused in the application. Some people are even afraid and uneasy about adopting new technologies.
But times have changed. Nowadays, automation technology has become a rapidly developing field, attracting enterprises to promote technology to help and change people's work and life. According to a survey by market research firm StaTIsta, the global automation market revenue in 2021 will be approximately US$214 billion, and in 2019 it will be US$186 billion.
There are many reasons why companies are keen to adopt automation technology. Companies are attracted by automating simple and repetitive processes, improving efficiency and saving business costs, and some companies are more ambitious. For example, some industrial giants are beginning to use artificial intelligence to manage corporate sensors and applications, quickly analyzing the massive amounts of data generated to create actionable insights. The outbreak of the coronavirus has accelerated these trends, prompting companies to accept and implement digital transformation at an unprecedented speed. In fact, according to the 2021 technology expenditure report released by Flexera, nearly half of the world's companies plan to increase IT spending this year, and nearly two-thirds of the companies said they will invest more in artificial intelligence and machine learning.
Save time and cost
The simplest and most rewarding benefit of adopting automation technology is that enterprises can save time and energy. Automation technology can be implemented to perform rule-based repetitive tasks, such as management or data cleaning. Robotic Process Automation (RPA) is perhaps the most successful of these technologies, usually to free up employees to focus on tasks that machines cannot do. A 2019 Deloitte survey of 523 companies around the world found that some corporate executives expect automation to increase employee capacity by 27% by 2022, equivalent to an increase of 2.4 million employees. By saving more time for employees, ultimately enabling business leaders to maximize their employees' potential.
In addition, this ability can also be integrated into the business model to support the work of employees. Technology-based tasks that require high automation, such as managing IT infrastructure, allow employees to better control and understand the framework they are managing because it simplifies internal operations. Although some processes still need to be completed manually, automated system maintenance and configuration can significantly improve the ability of employees to manage the network. Many companies go one step further and move towards an effective, independent and self-repairing infrastructure—monitoring, managing, and solving infrastructure problems with minimal human investment.
Improve data insights to make more informed decisions
Data-driven business competition is underway. For many companies, data is one of the most valuable assets they have. From customer-facing front-end operations to back-end network management, data provides rich insights to maintain enterprise agility and provide the intelligent and personalized experience users expect.
According to estimates by the research organization IDC, more than 59 ZB of data was created, captured, copied, and consumed globally in 2020, while this figure was 33 ZB in 2018. This shows that enterprises are facing huge challenges in efficient analysis and protection, and network management has become Even more difficult, and IT professionals are dealing with a large number of status updates, alerts, and threat information every day.
Artificial intelligence plays a vital role in overcoming this challenge. The processing power of artificial intelligence enables companies to analyze data quickly and on a large scale, such as network management. Artificial intelligence can help security analysts detect and respond to potential threats, such as ransomware, malware, and data breaches. The predictive power of artificial intelligence allows it to even begin to learn and identify patterns in network traffic, ensuring that IT teams can plan performance changes in advance and prevent threats before they occur. These use cases save companies a lot of costs, minimize downtime, and help companies adopt data-driven, proactive, and agile operations.
Similarly, the software-as-a-service platform is combined with artificial intelligence to increase the value of business data. This is especially transformative for the customer experience, enabling companies to track customer relationships on a large scale, analyze their behavior patterns, and recommend the best way to interact with them. The result is to provide customers with more personalized services, and provide enterprises with a more streamlined and ultimately profitable operation.
In fact, in order to maximize the use of automation, Robotic Process Automation (RPA) can be combined with artificial intelligence to create intelligent automation. This allows a series of computerized processes to work together to perform simple tasks while accumulating and analyzing data at a faster rate. According to Deloitte’s survey, organizations that have implemented intelligent automation on a large scale have reduced costs by nearly 27%.
Strengthen employee capabilities
The discussion about artificial intelligence still needs to start with technology. Some people think that the adoption of artificial intelligence technology will cause a large number of employees to lose their jobs, and robots will eventually replace humans. However, more and more studies have shown that artificial intelligence will actually have a positive impact on the economy. According to the forecast of the World Economic Forum, artificial intelligence will create 97 million new jobs by 2025 and replace 85 million jobs. This new understanding is beginning to have an impact on the public debate. The latest trends researched by the research firm Adobe Digital Insights show that although more and more people are discussing robots and jobs, the key is to adopt a positive perspective rather than a negative perspective.
Artificial intelligence is best seen as a complement to human capabilities, not as a substitute. Artificial intelligence provides humans with powerful analysis tools that can process large amounts of data and generate rich insights in a few seconds. Humans can then consider the resulting intelligence about data, explain its importance, and use it to plan and take actions, which can improve the quality of human decision-making. It is this kind of understanding of background and causal analysis that understands the connection between one factor and another from the inner level, and truly distinguishes humans from artificial intelligence.
As industry expert Brian Bergstein recently stated in the MIT Technology Review, “The ability of artificial intelligence to find correlations depends on algorithms that process millions of data points and then predict the results. What they lack is that humans instinctively know Common sense of the expected result of an action, not to mention the ability to reason about why things happened and raise'hypothetical' questions."
Finally, there are enough reasons to believe that the artificial intelligence workplace will be a better workplace. By allowing employees to focus on more meaningful work and enhancing their abilities in the workplace, companies will begin to see the emergence of a more productive and engaged workforce. Improving employee satisfaction is more than just "icing on the cake." Gallup's survey found that the average profit of highly engaged business units is 21% higher. As companies in the technology industry face a global shortage of digital talents, for companies struggling to attract and retain employees, making employees more satisfied through automation may be a step in the right direction.
Realize the commercial value of automation
Although the road to automation in an enterprise is not simple, the following seven steps can help the enterprise enter the track of success:
(1) Step by step
Don’t worry, companies take time to identify business areas that can benefit from automation and develop a roadmap to make it a reality.
(2) Improve data quality
Data quality is critical to the success of artificial intelligence programs. Companies need to invest in their data to achieve the desired purpose. The racial bias in some artificial intelligence projects usually stems from the potential narrow or biased ideas in the training data.
(3) People are very important
Automation can be a disruptive technology for business transformation, so be transparent when adopting it, make sure everyone understands their role in the automation workplace, and help employees acquire this new skill.
(4) Continuous improvement
Track the impact of automation from the beginning, taking into account the problems faced by technology and employees to ensure that it always plays the most effective role in the business.
(5) Continuous innovation
Artificial intelligence is the future development direction of enterprises. In order to stay ahead of competitors, enterprises need to become the center of artificial intelligence innovation. Enterprises need to identify new use cases, connect to the broader artificial intelligence ecosystem, and cultivate the next generation of artificial intelligence talents.
Artificial intelligence is completely changing the economy, and companies cannot lag behind others in market competition. In a survey conducted by the Massachusetts Institute of Technology and the Boston Consulting Group, 84% of corporate executives and analysts said they believe that artificial intelligence will enable companies to gain or maintain a competitive advantage.
There is no one-size-fits-all approach to automation technology. Companies that want to take advantage of automation have many options and provide meaningful value to their business, and as innovation accelerates, its value will continue to grow.