2019 is likely to be recorded as a turning point when digital technology innovation has become so popular. In recent years, technological innovation has become an irreversible and accelerating trend. Industries are forced to adapt to new ways of doing business, mostly related to the digital transformation the world has been experiencing, from artificial intelligence (AI) to blockchain and the Internet of Things (IoT). New digital technology is having a strong impact on all industries, and it is expected that the impact will increase strongly in 2020.
According to a 2016 Harvard Business School study, businesses that applied digital transformation have grown an average of 55% of their total profits over a three-year period, while the rest have grown only 37 % in the same period. According to another study conducted and published by DXC and The Economist, 68% of senior business leaders said profit growth over the past three years was the result of digital transformation. In this context, the Information Age website has launched five major digital transformation trends that businesses need to embrace in 2020.
1. IoT is the engine of digital technology growth:
There are an estimated 27 billion IoT devices in the world as of August 2019, and this number is expected to increase to 75 billion by 2025. There are currently 8.4 billion connected devices around the world. The importance of IoT is to help technologies such as advanced analytics, 5G telecommunications networks, sensor technology and edge computing become truly effective. With vast amounts of data flowing from smart devices, businesses now focus specifically on an analytical system, based on AI, so that they can take appropriate action.
Because most companies want information in real-time, or as close to reality as possible, media businesses need to develop fast and efficient networks that deliver large amounts of data in the shortest possible time. That is why 5G telecom networks are paying special attention. Along with the fact that IoT devices are so popular, many businesses will find data processing in many places more beneficial than centralizing on one main server, thereby leading to the development of edge computing systems.
2. Speed is number 1:
In the digital age, the basic competition principle has never changed. To gain business interests, you must be the first and also the best. Going forward means having to enter the market and have a specific number of customers before the competition in the world begins, creating the necessary supply to launch the product or service first, as well as having the ability to quickly plan and allocate personnel when the company expands. All of this requires a fast processing process, with smarter and faster ways to find information, as well as a faster and more efficient way to evaluate and classify data.
3. The explosion of blockchain:
With the value of Bitcoin currently valued at an all-time high, it is understandable that the technology that powers the virtual currency is starting to receive great attention. A recent study by Deloitte audit firm said that 55% of participants said that blockchain is being prioritized in their organizations, up 10 percentage points compared to 2018. The fact that blockchain is also very useful for any goods that require origin, from wine to international shipping products; or content payment systems; is even used to set up electric vehicle charging infrastructure.
4. AI:
AI is one of the phrases that have received the most interesting responses. Workers may worry, fear that the "army" of robots will replace them, while employers think about the profits that AI can bring when applied more and more. Currently, AI is mostly used as chatbots in customer contact, and is not very successful. However, as technology advances, more AI applications could help businesses grow their facilities, especially in areas such as marketing, analytics, customer service, and automation. chemistry.
AI helps businesses formulate marketing strategies and business plans through data analysis and aggregation. It can also help producers produce more efficiently, through operational analysis, or as helping the government allocate resources most effectively. Even AI helps medical researchers analyze patient data to determine the appropriate and better treatment.
5. From ITOps to NoOps: Smart data management:
Traditionally, the IT department has always been responsible for every computer-related issue in an organization. Although this structure is convenient when problems arise, it is difficult to manage resources because the management department often does not understand IT related issues. Therefore, by moving many services and applications to the "cloud", organizations will be able to manage better.
In that context, the next big trend is the automation of ITOps, by adopting intelligent systems, based on AI, to help make things smoother. In an automated NoOps computing environment and AI applications, things like updating or changing the system are automatically done by intelligent systems, thereby avoiding the possibility of human error. However, to successfully apply AI to IT departments or other departments, organizations need to be ready for this idea. Because it means many departments will have to give up control over the years, as well as get used to the new way. To overcome this, it is necessary to ensure that all employees understand the situation and that the management must also realize that AI needs to be an integral part of the operation of the entire organization.
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