While there is still some distance from true artificial intelligence, many companies are using artificial intelligence and automation (such as machine learning) to drive business operations, drive innovation, and improve the customer experience.
Artificial intelligence and automation are transforming the business environment across industries, hoping to provide new opportunities through intelligent automation technologies. Some companies are leading the industry with these emerging technologies, while others are stagnating in this regard.
Business managers and decision makers are increasingly aware of the benefits of artificial intelligence and automation, but there have been some questions: “Is this right for my business? How does it solve the problem?â€
With the widespread use of these emerging technologies in business operations, it also poses challenges, risks and potential risks to human resources. This feature will examine all of these aspects and hopes to fully understand artificial intelligence and automation in the enterprise.
What is artificial intelligence?
Artificial intelligence (AI) is actually a general term for describing intelligent automation processes such as machine learning, natural language processing (NLP), cognitive computing, and deep learning. True artificial intelligence means that a computer or robot can think and act like a human brain. In fact, artificial intelligence has a long way to go if it develops as advanced as it is in the film.
At present, many companies are using autonomous processes to improve operations and change the face of customer service (such as chat robots with artificial intelligence) while pushing innovation to new heights. Artificial intelligence is a set of algorithms that solve a specific problem, and it can best handle large amounts of high-quality big data.
In the next few years, almost every industry will be affected and transformed by artificial intelligence and automation. This is more important for manufacturing (perhaps than other industries), which is an industry that currently sees the benefits of implementing these technologies in operations. In the next five years, these smart factories using technologies such as robotics and automation will become catalysts for the new global economy and foresee the implementation of Industry 4.0.
In the manufacturing sector, artificial intelligence begins and will touch every stage of the supply chain, whether it be logistics, manufacturing or maintenance. Graeme Wright, chief technology officer of Fujitsu Manufacturing, Utilities and Services, explains, “Because production is critical in manufacturing, people will see more artificial intelligence to increase production.â€
Business managers and decision makers now realize that traditional business models do not play a role in a frequently disrupted business environment. “Senior managers must redesign their business using artificial intelligence,†explains Frank Palermo, global director of digital solutions at Virtusa. “A good starting point is that organizations can automate their heavy work and focus on delivering Personalized products and services tailored to meet the growing expectations of our customers."
The benefits of artificial intelligence: Is it necessary?
Simply put, artificial intelligence and automation, like other emerging technologies, will allow companies to cut costs by reducing employee workloads from more tedious tasks, increasing flexibility and productivity, and promoting innovation.
“In fact, if done well, implementing this technology will enable companies to increase products and revenues and provide a differentiated customer experience,†said Barry Matthews, market leader for ISG in the UK, Ireland and the Netherlands.
Artificial intelligence and automation stand out from other technologies as it helps to push other technologies into the mainstream business environment. For example, artificial intelligence will advance the development of the Internet of Things. According to Misha Bilenko, director of machine intelligence and research at Yandex, artificial intelligence is an essential technology for processing large amounts of data from devices.
As more and more data comes from technologies such as the Internet of Things and virtual reality devices, artificial intelligence and automation will not only be necessary to manage this data, but also an important factor in supporting an increasingly competitive business network.
“With artificial intelligence and machine learning-driven networks, the complexity and repetitiveness of the workplace will be alleviated and therefore more agile. As the business world becomes more borderless and more competitive, this is something that is very much needed. David Goff, head of corporate networking in the UK and Ireland, explains.
However, to achieve many benefits, organizations and their decision makers need to ensure that solutions solve problems or bridge the gap. “Without a clear strategy, the return on investment is unlikely to be maximized,†Matthews clarified. New technologies like artificial intelligence and automation are not possible. Regardless of the technology used, business leaders need to identify issues that fix or determine how to improve systems and practices in order to integrate certain content into operations.
Integration challenge
A Spiceworks survey found that 50% of organizations have not implemented artificial intelligence due to a lack of use cases in the workplace. Another 29% of respondents said that security and privacy issues have hampered the adoption of artificial intelligence, followed by cost concerns. From this perspective, the challenge of integrating this technology stems from fear of the unknown, not the fear of actual application.
In fact, not many companies use this technology at this stage, “because this technology exists in consumer and niche cases, it has not yet built an easy-to-implement solution for the enterprise.†Senior Product Director, Ivanti Ian Aitchison said, “It’s in the early stages of maturity, and consumers are actually ahead of the enterprise. Because vendors use pre-built artificial intelligence technology as a service advantage to customers, their application is much easier.â€
If an organization's leadership team does decide to integrate artificial intelligence and automation, there are many challenges that need to be overcome, including control, lack of skills, and legacy systems.
Artificial intelligence and control: Companies must be able to control the scope of artificial intelligence to make decisions that change the ability to be “opaque,†​​and decisions made by artificial intelligence are not easy to interpret, and people want it to remain transparent and explain its results. Don Schuerman, chief technology officer of Pegasystems, explained, “When the EU's general data protection regulations come into force, companies need to be able to switch between transparent and opaque artificial intelligence operations. How can companies control technology without major changes? Trust the artificial intelligence it uses? Therefore, it is important that the enterprise can control transparency, such as using “T-Switch.†If the T-Switch switches to an opaque setting, then anything happens. If the T-Switch is switched to transparent, then Artificial intelligence must provide information about its behavior and will actively prevent any opaque operations. Because people don't live in the real world, Schuerman said, "actually T-Switch will be a one from 1 ( Very opaque) to 5 (completely transparent) slider. â€
Lack of skills and artificial intelligence: The global digital skills crisis is well documented, and any organization that wants to integrate artificial intelligence and automated processes needs employees who can work with it and understand technology. “Industries will need more data scientists, they are also technical experts, and understand the relevance of training data sets as they perform regressions and optimize their machine algorithms. This will determine the intelligence of artificial intelligence.†NETSCOUT Regional Deputy President Michael Segal explained. Therefore, finding the right people to integrate this technology will be a major challenge for organizations that want to benefit from artificial intelligence. So what is the solution? More students can be involved in the school's STEM subjects, while the technology industry provides an easier career path for college and university graduates. The issue of diversity is also a factor. If the technology industry and education system can make more women interested in technology, then there will be more digital talents to choose from.
Artificial intelligence and legacy systems: Many large enterprises are based on legacy systems, and integrating any emerging technology with these systems is a challenge. “Many companies are faced with the challenge of how automation can adapt to existing systems and processes,†said Sharon Einstein, vice president of robotic automation and artificial intelligence at NICE's EMEA region. This burden of legacy systems can be a major obstacle, as well as increasing cost pressures. “Many companies face significant challenges in bridging the gap between expectations and reality,†explains Kalyan Kumar, vice president and chief technology officer of HCL Technologies.
Artificial intelligence and automation are transforming the business environment across industries, hoping to provide new opportunities through intelligent automation technologies. Some companies are leading the industry with these emerging technologies, while others are stagnating in this regard.
Business managers and decision makers are increasingly aware of the benefits of artificial intelligence and automation, but there have been some questions: “Is this right for my business? How does it solve the problem?â€
With the widespread use of these emerging technologies in business operations, it also poses challenges, risks and potential risks to human resources. This feature will examine all of these aspects and hopes to fully understand artificial intelligence and automation in the enterprise.
What is artificial intelligence?
Artificial intelligence (AI) is actually a general term for describing intelligent automation processes such as machine learning, natural language processing (NLP), cognitive computing, and deep learning. True artificial intelligence means that a computer or robot can think and act like a human brain. In fact, artificial intelligence has a long way to go if it develops as advanced as it is in the film.
At present, many companies are using autonomous processes to improve operations and change the face of customer service (such as chat robots with artificial intelligence) while pushing innovation to new heights. Artificial intelligence is a set of algorithms that solve a specific problem, and it can best handle large amounts of high-quality big data.
In the next few years, almost every industry will be affected and transformed by artificial intelligence and automation. This is more important for manufacturing (perhaps than other industries), which is an industry that currently sees the benefits of implementing these technologies in operations. In the next five years, these smart factories using technologies such as robotics and automation will become catalysts for the new global economy and foresee the implementation of Industry 4.0.
In the manufacturing sector, artificial intelligence begins and will touch every stage of the supply chain, whether it be logistics, manufacturing or maintenance. Graeme Wright, chief technology officer of Fujitsu Manufacturing, Utilities and Services, explains, “Because production is critical in manufacturing, people will see more artificial intelligence to increase production.â€
Business managers and decision makers now realize that traditional business models do not play a role in a frequently disrupted business environment. “Senior managers must redesign their business using artificial intelligence,†explains Frank Palermo, global director of digital solutions at Virtusa. “A good starting point is that organizations can automate their heavy work and focus on delivering Personalized products and services tailored to meet the growing expectations of our customers."
The benefits of artificial intelligence: Is it necessary?
Simply put, artificial intelligence and automation, like other emerging technologies, will allow companies to cut costs by reducing employee workloads from more tedious tasks, increasing flexibility and productivity, and promoting innovation.
“In fact, if done well, implementing this technology will enable companies to increase products and revenues and provide a differentiated customer experience,†said Barry Matthews, market leader for ISG in the UK, Ireland and the Netherlands.
Artificial intelligence and automation stand out from other technologies as it helps to push other technologies into the mainstream business environment. For example, artificial intelligence will advance the development of the Internet of Things. According to Misha Bilenko, director of machine intelligence and research at Yandex, artificial intelligence is an essential technology for processing large amounts of data from devices.
As more and more data comes from technologies such as the Internet of Things and virtual reality devices, artificial intelligence and automation will not only be necessary to manage this data, but also an important factor in supporting an increasingly competitive business network.
“With artificial intelligence and machine learning-driven networks, the complexity and repetitiveness of the workplace will be alleviated and therefore more agile. As the business world becomes more borderless and more competitive, this is something that is very much needed. David Goff, head of corporate networking in the UK and Ireland, explains.
However, to achieve many benefits, organizations and their decision makers need to ensure that solutions solve problems or bridge the gap. “Without a clear strategy, the return on investment is unlikely to be maximized,†Matthews clarified. New technologies like artificial intelligence and automation are not possible. Regardless of the technology used, business leaders need to identify issues that fix or determine how to improve systems and practices in order to integrate certain content into operations.
Integration challenge
A Spiceworks survey found that 50% of organizations have not implemented artificial intelligence due to a lack of use cases in the workplace. Another 29% of respondents said that security and privacy issues have hampered the adoption of artificial intelligence, followed by cost concerns. From this perspective, the challenge of integrating this technology stems from fear of the unknown, not the fear of actual application.
In fact, not many companies use this technology at this stage, “because this technology exists in consumer and niche cases, it has not yet built an easy-to-implement solution for the enterprise.†Senior Product Director, Ivanti Ian Aitchison said, “It’s in the early stages of maturity, and consumers are actually ahead of the enterprise. Because vendors use pre-built artificial intelligence technology as a service advantage to customers, their application is much easier.â€
If an organization's leadership team does decide to integrate artificial intelligence and automation, there are many challenges that need to be overcome, including control, lack of skills, and legacy systems.
Artificial intelligence and control: Companies must be able to control the scope of artificial intelligence to make decisions that change the ability to be “opaque,†​​and decisions made by artificial intelligence are not easy to interpret, and people want it to remain transparent and explain its results. Don Schuerman, chief technology officer of Pegasystems, explained, “When the EU's general data protection regulations come into force, companies need to be able to switch between transparent and opaque artificial intelligence operations. How can companies control technology without major changes? Trust the artificial intelligence it uses? Therefore, it is important that the enterprise can control transparency, such as using “T-Switch.†If the T-Switch switches to an opaque setting, then anything happens. If the T-Switch is switched to transparent, then Artificial intelligence must provide information about its behavior and will actively prevent any opaque operations. Because people don't live in the real world, Schuerman said, "actually T-Switch will be a one from 1 ( Very opaque) to 5 (completely transparent) slider. â€
Lack of skills and artificial intelligence: The global digital skills crisis is well documented, and any organization that wants to integrate artificial intelligence and automated processes needs employees who can work with it and understand technology. “Industries will need more data scientists, they are also technical experts, and understand the relevance of training data sets as they perform regressions and optimize their machine algorithms. This will determine the intelligence of artificial intelligence.†NETSCOUT Regional Deputy President Michael Segal explained. Therefore, finding the right people to integrate this technology will be a major challenge for organizations that want to benefit from artificial intelligence. So what is the solution? More students can be involved in the school's STEM subjects, while the technology industry provides an easier career path for college and university graduates. The issue of diversity is also a factor. If the technology industry and education system can make more women interested in technology, then there will be more digital talents to choose from.
Artificial intelligence and legacy systems: Many large enterprises are based on legacy systems, and integrating any emerging technology with these systems is a challenge. “Many companies are faced with the challenge of how automation can adapt to existing systems and processes,†said Sharon Einstein, vice president of robotic automation and artificial intelligence at NICE's EMEA region. This burden of legacy systems can be a major obstacle, as well as increasing cost pressures. “Many companies face significant challenges in bridging the gap between expectations and reality,†explains Kalyan Kumar, vice president and chief technology officer of HCL Technologies.
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