10 Technologies That Are In The Center Of World’s Attention

10 Technologies That Are In The Center Of World’s Attention, today’s world agenda is how people’s daily work can be made easier with the existence of a technology. Every year several technologies are always created and developed. Each country conducts competition and struggles over technology copyrights to dominate the market in the technology sector.

Technological research companies play an important role in this field so that large investments are needed to carry out development. This research is unconsciously also carried out by Indonesia to carry out its own research.

10 Technologies That Are In The Center Of World's Attention

10 Technologies That Are In The Center Of World’s Attention

There are 10 10 Technologies that you need to know below and follow the world’s big agenda in shifting the times to the era of modernity.

1. Big Data

Big data is a branch of technology related to data collection that has a large capacity, is complex and unstructured. This technology is considered as the world’s most valuable asset with its contribution in developing the modernization era.

Big data has a fast-growing nature with varied types of data, making it a new challenge for researchers to control this data. Big data is very difficult to handle if you only rely on traditional data processing applications.

Through real life, big data can be applied in various aspects such as business, government, education, health, police, and so on. This technology is very useful for controlling the problems of an organization both internally and externally. The organization can save time, save costs, and make informed decisions.

To get to know more about big data , there are 5V characteristics that you can find out below:

  1. Volume , big data has a very large quantity of data with large storage capacity. So it takes a tool in the form of a special computer to store all the data.
  2. Velocity , to manage very large data must have speed in accessing the data in real time . Usually use thousands of processor cores on computer storage.
  3. Variety , big data has a variety of structured and unstructured data formats. It also depends on the number of data sources used.
  4. Veracity , a data set must have data that can be trusted or not depending on the data source. It becomes very important to determine the validity of a data so that it can be maintained.
  5. Value , the value in the data can determine the decisions taken. This value appears after the data processing is completed.

There are tools that can be used to analyze data in big data . Such as Gephi, Python, NiFi, Tableau, and Netlytic.

2. 5G Technology

5G or fifth generation is a term used for a branch of cellular telecommunications technology. This technology was created as the next standard phase of 4G. Although it is still in the planning and formation process, one of the companies in the smartphone sector , namely Huawei, has announced that it will market products with 5G technology.

You need to know that this technology is a radio wave with different frequencies according to its generation. Its purpose is to be able to communicate remotely by transferring various data.

5G is still difficult to understand because this technology has not yet been released so the sensation of using it cannot be told in depth. Maybe only official information through researchers to recognize the concept of this technology.

According to the concept planned by various world developers, 5G has the following advantages:

  1. Data rates are significantly more than the previous generation 4G
  2. Transfer data between phones at 1 millisecond speed
  3. Can be applied to telephones, cars and other household appliances.

Many predict that the transfer speed provided by 5G can reach 800 Giga bytes per second . This speed is 100 times faster than the previous generation. You can download the highest quality movies in just seconds.

The plan for the release of this technology is in 2020 at the Tokyo Olympics. However, a more specific date is still being kept secret by 5G developers.

3. Cognitive Cloud Computing

Since 2000, 50% of Fortune 500 companies have gone bankrupt, were acquired, and simply disappeared. New companies are popping up quickly in their place and this is a nuisance to many traditional companies.

Cognitive Cloud Computing emerged to facilitate the agility and flexibility of a new company called a startup. Startups will steal the market share of business giants that implement ancient systems. An app-based business model that allows startups to maximize their data.

According to the latest analysis, there is a total of 4.4 zettabytes of data or 10 to the power of 21 bytes accumulated in the world. Of the amount of data, 80% of unstructured data is idle. Whereas dark data such as videos, texts, social media posts, audio clips, and others have prospects for a business. This information provides great insight into consumer behavior around the world.

Data mining is a solution to take advantage of such unstructured data. Like IBM Watson, the giant device with astonishing speed can read 800 million pages per second. Not only the ability to read, IBM Watson can analyze the data to make the right decisions. It was proven through the Jeopardy event, IBM Watson was able to answer questions in the form of quizzes quickly and accurately, thus defeating its competitors 2 humans with intelligent backgrounds.

4. DARQ

Maybe some of you think DARQ is a trending horror game. It’s true, even the search engines on Google haven’t discussed much about this technology because it’s still in the development stage.

The DARQ referred to here has the meaning of Distributed Ledger – Artificial Intelligence – Extended Reality – Quantum Computing . These four components are collaborated into the latest technology that will bring the digital-era into the next era. The following is an explanation of each component:

A. Distributed Ledger

Distributed Ledger is a transactional method that allows consumers and businesses to transfer money in a way that is currently impossible. Simple examples like cryptocurrencies and blockchain , data validation becomes very important. This makes it easy for people to transact without worrying about hacking from irresponsible parties.

B. Artificial Intelligence

This technology is no stranger to sound because it is still a hot topic in various media. The AI ​​that we currently experience is actually still in its early stages because machines are in the learning stage. AI technology every day is increasing accuracy up to 95% now. In the next few years, AI engines will become so smart that there is no doubt about the capabilities of this one technology.

C. Extended Reality

You can find this technology in games based on VR ( Virtual Reality ) and AR ( Augmented Reality ) and MR ( Mixed Reality ). Currently Extended Reality is still not at its true strength, because internet connections and devices on the market are still not supported for everyone. The virtual world that you currently feel through the screen, will turn into a fictional world. You can see a product/application from various angles and test it before launching into the real world.

D. Quantum Computing

Quantum Computing is often referred to as micro-computing which is very powerful and dynamic so that it can solve problems that are currently impossible to solve. This technology was first developed in 1994 and has continued to this day. The main problem with this technology is that it is very expensive to manufacture. So that the research that continues until now is to make high-capacity computers at low cost for the wider community.

5. 3D Printing

3D printing is not a new technology as you think now. This technology has been around since 1984, Chuck Hull was the first to introduce it with modest results.

3D printing is now starting to be recognized by many people with a well-growing market. Printing is a process in which several materials are combined by a computer to produce a 3-dimensional product. The purpose of this technology is to form a product in the form of a prototype derived from AMF ( Additive Manual File ).

The process used for 3D printing starts with adding layer by layer sequentially. Currently, 3D printing can be made using stainless steel by mixing iron, carbon and nickel.

The development of this technology is still in the research stage to answer the needs and concerns of astronauts or space researchers. Who knows how many years, this technology will allow food businesses to make products such as birthday cakes virtually via smartphones .

6. Internet of Things

The Internet of Things or commonly referred to as IoT is an interconnected computing system. Mechanical machines with digital, objects (objects, animals, plants, and people) equipped with unique identification, as well as the ability to transfer data automatically without the need for human intervention.

In its application, IoT can be in the form of biochip transponders in livestock, cars have sensors to detect tires running out of air. As well as other objects that can be assigned an IP ( Internet Protocol ) address so that they can transfer data over the network.

IoT has an ecosystem of smart devices that are connected to the web and use embedded systems such as processors, sensors, and others. The smart device shares sensor data to the IoT gateway and then the data is sent to the cloud for analysis. These devices do not require human intervention, except for setting up and giving instructions for data access.

7. DevOps

DevOps stands for Development and Operations , where work between teams in IT-based companies can better manage their products. The management of the work makes it possible to build , test , and release a software to make it faster and perform well.

The purpose of DevOps is to make products (applications/ software /games) keep updating to make it more convenient for users to use. The value of the product itself will increase with the extent to which the company implements DevOps.

This practice will improve communication and collaboration between divisions, both physical and non-physical. Good DevOps will have a positive impact not only on the development division , but also on the marketing , sales and other teams in the company. Through DevOps, it is easy to produce new, better features for the product.

8. Hyper Automation

As mentioned by Gartner, Inc. (a research-based company and technology advisor) states that hyper-automation is a combination of AI technology and Machine Learning . The goal is to automate the process of a tool with the principles of discover, analyze, design, automate, measure, monitor , and reassess .

The principle of this automation is different from other ordinary automation. Low-value tasks can be carried out optimally with continuous technological innovation. Hyper-automation does not require tools to manage tasks, because it still requires humans to operate.

As an example of the case, imagine an online business working. A company is always looking for ways to get customer sentiment with the information available to the marketing team . However, humans must use their insights to consider any type of promotion or incentive to make their next business plan. Meanwhile, with this technology everything is done automatically by a computer program.

This technology also allows the finance team to get the latest and centralized data instantly without conducting data surveys. The finance team only works to determine strategic decisions from the data obtained automatically. So as to improve decision accuracy by identifying risks and opportunities as soon as possible.

9. Cyber Security

Cyber ​​security appears to secure the virtual world from illegal practices such as data theft, hacking, and others. This protection can be used across a variety of hardware and network connected systems.

The threat of crime in cyberspace always increases every year. According to the RiskBased Security report, there were 7.9 billion recorded breaches in 9 months in 2019. This figure is more than double the previous year. Medical services and retailers often experience this breach, according to him, financial and medical data becomes valuable as a crime.

Through IT educational institutions in America, many have created a cyber security framework . It aims to combat malicious code and aid early detection. The framework majority recommends continuous or real-time monitoring of all electronic resources.

There are so many types of crimes that exist in cyberspace such as malware, SQL injection, phishing, citizen attacks, and service attacks. Like the Emotet virus that appeared in Australia, emotet thrives on users who use simple passwords . A reminder of the importance of creating complex passwords is a possible solution to this threat.

10. AI as a Service

AI as a Service (AIaaS) is basically a third-party company offering artificial intelligence outsourcing . So, everyone can use and take advantage of AI without spending a lot of money to build it themselves.

There are several AI provider platforms that provide products in the form of AI and machine learning . Customers such as institutions can buy it and make sure the product works for the company or not. This service is available via cloud AI, so customers do not need to buy a large capacity computer to operate it.

This technology seems to be the solution for most institutions such as commercial companies or governments. The big IT companies that have started to provide AI services such as Google (Platform Cloud), Amazon (Web Services), Microsoft (Azure), IBM (Developer Cloud). And some small startups like BigML, Dataiku, and Forecast are starting to provide this AI service.

This technology competition is carried out by service providers with how fast and real-time problem solvers are .

Closing

10 Technologies That Are In The Center Of World’s Attention you need to know that the contribution of local technology is also no less competitive with foreign countries. Call it Gojek, the company has implemented AI in various features. One of them is the selection of drivers with the closest distance variable approach, rating , and others. The big data owned has also been managed well by the scientific data division as the company’s biggest asset.

This entry was posted in Tech News Today and tagged . Bookmark the permalink.