In 2016, artificial intelligence companies generated a valuation of $8 billion in capital revenue, and this number is expected to double fivefold in the next three years. Entrepreneurs are investing in artificial intelligence, not only as a way to reduce costs, but also to change the customer and employee experience.
Accenture's 2017 technology vision shows that in more than 5,400 IT and corporate executives, approximately 79% believe that artificial intelligence will accelerate the use of technology within its organization. The subversive development of artificial intelligence is an established fact, but the impact of its subversive development on the labor force is the most difficult part to describe and deal with. It must now be clear that leaders in various industries should begin to take the right approach to the different types of employees – whether human or machine employees – in the future of the labor market.
These impacts on the workforce are particularly prominent in the IT arena. From analysis to cloud computing, CIO is dealing with large-scale destruction. For IT organizations to promote industry change and open industry capabilities, artificial intelligence is both a huge challenge and a rare opportunity. In order to seize the opportunity, IT business leaders must take decisive action to reshape the capabilities and skills of the people inside the enterprise to meet the future of artificial intelligence. To capture the value of machine learning and artificial intelligence, there are five key capabilities that technicians must master.
1, machine management capabilities
“The machine will replace humanity†– this potential negative impact is clearly anxious for business managers and employees. A frequently overlooked question is: How do workers in the enterprise develop and maintain "Robot Operation Automation Software" (RPA), smart machines, or physical robots? The ability of artificial intelligence as a business or organization is still largely in its infancy. This means that in most cases, the use of artificial intelligence is a diffusion within the organization. Accordingly, its systemicity is still immature and fragmented. IT companies have the ability to develop technology architectures and unlock the future of smart machines across the industry. However, this ability is not inherent to IT organizations. CIO and IT industry must unite their development path, through the training and development of artificial intelligence, from the traditional simple "turning on the light" behavior, in the future period of artificial intelligence dominated by efficient labor, to the paradigm of making correct decisions. Character.
2, process information capabilities
From the perspective of improving the company's development process to achieve its optimal top-line or bottom-line results, IT companies have long been underutilized resources. For example, the ability of artificial intelligence to process large amounts of information is difficult for humans to achieve. This ability can greatly improve the efficiency and quality of anti-money laundering operations. In other words, artificial intelligence can increase the proportion of human decision-making in the operational process by synthesizing data and making basic decisions. It also means that humans must redesign their operations and reshape their capabilities to support integrated approaches and respond to more complex decisions. Artificial intelligence is transforming traditional customer-centric, internal operations in ways that humans have not yet mastered. This is obviously a fusion of traditional enterprise operations management and RPA operations. More broadly, there are many examples besides RPA, such as the customer voice recognition authentication system, which can greatly improve the quality of customer communication services in some industries.
3. Platform and data management capabilities
Technicians must have strong information processing and technology platform management capabilities. Machine learning methods can only generate predictive models that are comparable in quality to the input data. Organizational and data quality is clearly not a new challenge for companies. If a person does not have the ability to support and process models and platforms, artificial intelligence will encounter bottlenecks, but people will still take the plunge. IT companies are reinventing themselves as an organized cloud provider. New technology and architectural concepts require data stewardship from IT team companies, and ultimately break the departmental barriers and harness the power of machine learning.
4, algorithmic awareness
Not everyone has to be a data scientist, but for technicians, having basic data processing capabilities and the ability to describe the entire process of artificial intelligence algorithms from creation to final output data is really important. An enterprise has two core sources of interest. First, IT can describe artificial intelligence capabilities to companies and work with companies to continually improve models. Second, a fundamental understanding of the mathematical concepts that drive machine learning can open up knowledge and creativity. This creativity enables IT organizations to create positive benefits for companies while building an artificial intelligence capability framework. For example, Accenture collaborates with Stevens Institute of Technology in the United States to develop advanced workforce analysis capabilities in key areas.
5. Leadership and judgment
Daily administrative work takes up a lot of our time, but in the future, the machine will help us deal with these tasks and become our "good colleagues." By that time, all employees of the company not only need to accept a machine to master the new world of decision-making, but also need to use their own judgment in more challenging decisions. To accomplish this transformation, you need to have a more focused problem-solving skills, as well as the skills to build problems like the machine can handle and ultimately get the correct guiding response.
In order to master these related abilities and skills as quickly as possible, what should business leaders do now? First, an internal learning activity focused on the benefits of artificial intelligence technology and artificial intelligence, reducing employee fear of machines, and preparing for artificial intelligence to “enter†the workforce. Through a series of virtual activities and hands-on activities, companies can enable employees to further understand artificial intelligence and enhance their artificial intelligence capabilities. The level of these activities can be adjusted according to the workforce and its ability level, so that people can improve their ability step by step.
In addition, to explore the dynamics of artificial intelligence, you need to constantly emphasize to people: "Artificial intelligence makes work more efficient, it reduces our workload, not jobs." Even artificial intelligence can be deployed in activities. Prototype or actual operation drill. Finally, make a summary to improve the creativity, openness and flexibility of everyone, especially business managers, in using artificial intelligence.
The machine is right next to us. Soon, all the companies and governments in the world will have machines. Team leaders will have no reason not to adopt these automation and enhancement technologies. The opportunity for IT staff is to reshape the workforce so that their employees have the ability to master artificial intelligence. Focus on the machines that can be managed efficiently, then focus on the data and algorithms they use, and finally their leadership and judgment so that technicians can push artificial intelligence optimization in their organizations.
Overmolding the Connectors offers significant opportunities for cable improvements with higher pull strength and waterproof issue for those parts, which without these characteristic by conventional types.Such as jst jwpf connector. Just be free to contact us if you need any wire-harness solutions or partner for your products. Our professional and experienced team would support you by satisfied skill and service.
Molded Connectors,Molded Waterproof Connector,Molded Straight Wire Connector,Jst Jwpf Connector
ETOP WIREHARNESS LIMITED , https://www.oemwireharness.com