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How automation and artificial intelligence to make the future work possible, standing in front-end thinking.
Built on a digital core businesses are often better than the traditional business model based on corporate performance. McKinsey research shows that digital drive business more profitable than its industry competitors. Therefore, the application of process automation (RPA) and artificial intelligence (AI) and other emerging technologies upward trend is not surprising.
A recent Gartner survey found that 37% of global companies are now implemented in some form of artificial intelligence, and in the past four years, the use of artificial intelligence in the number of enterprises increased by 270%. Today, more and more enterprises are no longer dependent on the office staff, managers, engineers, consultants and customer service representatives operation of traditional business processes, but rather rely on staff numbers, automation and artificial intelligence to run their core business processes.
As companies around the world continue to move forward on the road to its digital transformation, there is a clear road map is essential, they can adjust their digital strategy with their overall business objectives. In order to do this, we must consider several factors.
Top-down understanding
Nature of work is changing. As robots take on more repetitive and time-consuming task, people on Digital deployment enables organizations to operate in a more efficient manner. This liberation of the people's time, so that trained professionals can focus on their highly skilled functions and more interpersonal role. In order to benefit from automation, non-numeric-born company must start a revolution, start digitizing and cleaning up data from, making it a usable, actionable format.
However, before such a data-driven transition occurs, the conversion at the board level is essential. Executives must understand the benefits of emerging technologies, and has the foresight to make sure they choose the technology and they decided to automate processes to help them achieve their overall business objectives. Only then will the benefits of automation will gradually emerge and become clearly visible in the other business units within the organization.
In order to automate company-wide in recent years, the emergence of new roles and career paths, thanks to the rise of Chi Automation Center of Excellence (Centre of Excellence, CoE) to some extent. Artificial intelligence expert, CoE Leader, process analysts, RPA developer codes and low / no code development experts, these jobs almost did not exist five years ago, but has now become common. A recent World Economic Forum report found that the depth of learning technologies will create 133 million jobs over the next few years. This undoubtedly requires people to play the role of technical experts in the management of major changes in the business. With the algorithm in a more efficient, more accurate way to deal with daily work, daily tasks and nature of work is changing.
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Improve staff skills
Improve staff (including management and staff) skills, to have new capabilities, and the possibility of artificial intelligence and automation have a thorough understanding of this needs to be a priority in 2020 to seek digital-driven enterprises.
Many companies believe that the skills gap is impeding business applications of artificial intelligence and automated processes. 81% of the British company said the skills gap prevents the use of artificial intelligence. Although the company has an internal department and development program, but to keep up with rapidly changing technology and the latest knowledge is very difficult.
In order to allow enterprises to overcome this problem, you need to start training their employees, their role will be converted into the role of higher value and extend their automation problems to technical experts. Experts challenge means that outsourcing can automate and maintain inefficient business processes, thus freeing up staff time to engage in more meaningful work. By using a centralized Center of Excellence (Centre of Excellence), experts can trace artificial intelligence work, and to support enterprise business strategy, which is critical to the success of the enterprise.
Improve staff skills
Who want to automate their core business processes of enterprises, another problem is security. RPA is protected in a secure cloud network, but at the time of setting up and maintaining it still requires companies to follow best security practices. Lack of skills in artificial intelligence and the RPA, and how best to use and implement these techniques may result in a lack of security.
In order to prevent safety failure, need to better understand what it RPA hopes to achieve in the enterprise is under way. Internal business stronger understanding will also allow the construction of more decision-making process in the RPA, the ability to assess the optimal situation and fully understand the events that may occur.
When the digital personnel and workers unite, strengthen the complementary capabilities to improve the accuracy, timeliness and improve compliance, companies can achieve the best business results. One can perform more valuable activities, and to get rid of transactional tasks the robot do best.
How to make your business for future work
Future work at hand, the growing pressure due to the rise and productivity of digital, digital workforce, modern labor force requires a new way to deal with daily work. However, in general, companies still lack a comprehensive strategy management business. This has led to more and more employees are frustrated because they spend too much time on a small, impossible task, but the task did not bring any good to them.
WORKFRONT recently released "2020 Work Status Report" found that 31% of UK employees work time per week spent processing the meeting too many e-mail, interference and wasting time on. This allows them to meaningless task in the first place, so that they feel satisfied and productive at work.
Business leaders, this is a critical moment, it has gone beyond merely "future proof" requirements. It is time to rethink the organization of work status, and to respond to this new way for the next generation of work. Otherwise, they are likely to grow in terms of the ability of each generation and retain talent lost to competitors.
This means real change for the team to provide better ways of working of the system. Although we have seen many new workplace tools appear in recent years to solve teamwork, resource management, project planning and organization. Working state of knowledge workers around the world are still looking for a better solution, how limited the potential to stimulate knowledge workers and knowledge workers an effective constraint actual investment of time to complete the challenging business metrics.
How technology is shaping the future of work
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data
Ten years ago, the biggest challenge is how data is stored data, how reliable and economical access to data. Since then, computer flash memory device (NAND memory) and other types of storage capacity is growing faster than Moore's Law, the cost is reduced to such a low level, no longer an issue of concern to most organizations.
At the same time, we have been greatly improve the ability to use powerful algorithms to process data through an easy to use tool. Cloud computing and advanced software allows large amounts of data easy. Like Google analysis tools such as almost everywhere, in fact, played a role in the standardization forces.
The end result is a new service being built in, which uses standardized access (such as SQL or Google data analysis) of data, low-cost computing and storage costs, as well as natural language generation and other advanced artificial intelligence technology. These services can be organized in a way you can take immediate action to provide narrative about the data easy to understand.
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automation
Through data analysis more relevant information is critical, but if you do not increase the capacity to act on the information at the same time, it is still inefficient. This is where automation can provide support. There are two ways to think of automation.
On the one hand, you can automatically react to new information. For example, if the data analysis, we have seen increased demand for store-specific merchandise, we can automate the ordering process, the more goods to distribution centers. Amazon is to rely on such decisions as efficiently as possible to establish a distribution network. However, this requires highly complex data analysis and automation.
On the other hand, it may be more common tasks (including data analysis tasks) automated, so that your team will have more time to focus on higher-level, more complex and more valuable decision-making. These are the results of most of today's enterprises can easily obtain. View all processes and workflows, and will definitely see level API (Application Programming Interface) step program access to better connections can be utilized. Connect via the API service to create intelligent piping systems between organizations, reducing the tedious task. These types of tasks often fall within the scope of process automation robots, including automated changes (affecting multiple systems) addresses processes, revenue management, reporting, verification, compliance various activities, manual order processing.
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By data, automate agile digital conversion
Digital technology is already changing the way we work in various ways. Although there are many remarks about the digital transition, but planing to marketing component, the rest is a company to change its mode of operation through the introduction of digital technologies.
Modern Workplace
By acquiring multiple technology options can not meet the real needs of the entire enterprise, or let the team clearly understand the objectives of the whole enterprise, the enterprise will only make the work more complicated. And to build agile work environment different, this will only result in the need to manage more applications every day, and create a more closed, unfinished work team is more complex operation.
Instead, we need a new way of looking at work. In order to improve cross-team communication and to maintain progress, companies should adopt scalable entire business connectivity technologies, such as modern work management solutions.
Daily affairs through the use of operational business software such as progress reports and status updates, the class will be shared immediately with all the appropriate team members on a single platform. We will take the initiative to provide insights, rather than store it up and provide information throughout the company, thus promoting the organization forward towards a better way of working.
This will include employees working fewer (but more meaningful) meetings, less interference, and have the opportunity to complete full, put in the work to promote the company's strategy going forward.
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Embrace the future work
Technology provides a partial solution, but the human factor for future work is the most important. So let employees participate in and promote the use of this new approach is imperative. By working with thousands of companies, through their modern conversion work, we have identified four basic attributes, which are ready for the future work of the enterprise common. In order to ensure that the requirements of modern working to become a competitive advantage, rather than a barrier to success, please pay attention to the following points:
1. From start context visibility and
Everyone you through all the departments, teams and organizations actively communicate the company's strategy. Strategy to ensure that all levels of your organization have a clear definition of the information provided by the data, and a clear communication. Therefore, employees and managers can clearly see the target company trying to achieve. The most important thing is to ensure that everyone understands their role in the company's achievements played. This continued to maintain ties to show the flexibility of leadership, and to encourage an open corporate culture.
2. active management
Applying relentless pressure on performance, while creating a positive, open and honest culture. Achieved by the product, and the project team and the decision to use the data to adjust it. By making decisions based on real-time data rather than assumptions, and strive to achieve excellence in resource management. In the company to achieve this goal, employees and team confidence, not fear to work in order to achieve growth and success.
3. Deploy technology to help the team to complete the work
With applications and systems they need to support them in fulfilling the job done and keep work. This can be instant messaging to product design tools or the latest creative suite. It is important, future-oriented businesses to ensure that they have established a digital backbone to connect together the various tools form a coherent whole. Agile workflow and capture information provides visibility and context. Management will work to promote the use of technology strategy and corporate vision.
4. Embrace Agile
Exhibit excellent organizational flexibility to prepare for future success. Rather than simply existing work easier and more flexible, or, as a more dynamic approach. Cross-functional teams to work more frequently to adapt, given new leadership powers, and at the individual, team and even the organizational level redeploy them to drive new market opportunities.
These attributes will point to those employees, working methods and the creation of intellectual property as a key business assets of the enterprise, not just the means to an end. Most importantly, these companies put people on the most important position to help individuals do their best work. They embraced by collaboration, visibility and ability to work through the active management of new technologies to do this. This method is applied to any future work of the companies will find that they can pressure into opportunities, and predict, even while pushing to speed up the pace of change in the industry.
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