10 Technologies Are The Center Of Attention In The World
AdTechID --- The agenda of today's world is how people's daily work can be made easier by the existence of technology. Every year several technologies are always created and developed.
Each country conducts competitions and scrambles for technology copyright to dominate the market of these technology fields.
Technology research companies are an important role in this field so large investments are needed to carry out development. This research was also subconsciously carried out by Indonesia to conduct its own research.
10 technologies are the center of attention in the world 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 one of the branches of technology related to data collection that has a large, complicated, and unstructured capacity. This technology is considered the world's most valuable asset with its contribution to developing the age of modernization.
Big data has a fast-growing nature with varied data types, making it a new challenge for researchers to take control of these data. Big data is very difficult to handle if you only rely on traditional data processing applications.
In real life, big data can be applied in various aspects such as business, government, education, health, policing, and so on.
This technology is very useful for controlling the problems of an organization both internally and externally. These organizations can save time, save costs, and make informed decisions.
To get to know more about big data, there are 5V characteristics that you can know below:
1. Volume, big data has a very large quantity of data with a large storage capacity.
So it takes a tool in the form of a special computer to store all this data.
2. Velocity, to manage very large data must have speed in accessing that data in real-time.
It typically uses thousands of core processors on storage computers.
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 set of data certainly has data that can be trusted or not depending on the data source. It becomes very important to determine the validity of data so that it can be maintained.
5. Value, The value in the data can determine the decisions made. This value appears after
the data process is completed.
Some tools can be used to analyze data on big data. Such as Gephi, Python, NiFi, Tableau, and Netlytic.
2. 5G Technology
5G or Fifth generation is a term used for the branch of cellular telecommunications technology. This technology was created as the next standard phase of 4G.
Although it is still in the process of planning and forming, one of the companies in the smartphone field, 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 use is to be able to communicate remotely by transferring various data.
5G is still difficult to understand because this technology is still not released so the sensation of use cannot be told more deeply. Perhaps only official information through researchers to recognize the concept of this technology.
According to the concept planned by various world developers, 5G has advantages in the form of:
1. Data rates are more significant than the previous generation of 4G
2. Data transfer between phones at a speed of 1 millisecond
3. Can be applied to telephones, cars, and other household appliances.
Many predict that the transfer rate provided by 5G can reach 800 Giga bytes per second. This speed is 100 times faster than the previous generation. You can download top-quality movies in just seconds.
The plan is to release this technology in 2020 during the big Tokyo Olympics. But 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, acquired, and simply disappeared. New companies are popping up quickly in their place and this is becoming a nuisance for 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 implementing antiquated 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 or 10 21 bytes collected in the world. Of that amount of data, 80% of unstructured data is idle. Whereas dark data such as videos, text, social media posts, audio clips, and others have prospects for a business. The information becomes a great insight into consumer behavior around the world.
Data mining is a solution to take advantage of such unstructured data. As with IBM Watson, such a giant device with astounding speed can read 800 million pages per second.
Not only the ability to read, but IBM Watson can also analyze the data to make the right decisions. Proven through the Jeopardy event, IBM Watson can answer questions in the form of quizzes quickly and precisely, to beat its competitor's 2 humans who are from a smart person background.
4. DARQ
Maybe some of you think DARQ is a trending horror game. It's true, search engines on Google still don't have much discussion about this technology because it is still in the development stage.
The DARQ referred to here means Distributed Ledger – Artificial Intelligence – Extended Reality – Quantum Computing.
The four components collaborate with the latest technology that will bring the digital era to the next era. The following is an explanation of each of its components:
A. Distributed Ledger
Distributed Ledger is a transactional method that allows consumers and businesses to transfer money in ways that are currently impossible. For simple examples such as cryptocurrencies and blockchains, 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 familiar because it is still a hot topic in various media. The AI that we have currently felt is actually still in the early stages because machines are in the learning stage.
AI technology is experiencing an increase in accuracy by up to 95% every day today. In the next few years, the AI engine 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, due to internet connections and devices on the market that is still not supported for everyone.
The virtual world that you currently feel through the screen, will turn into a fictional world. You can look at a product/app from different sides and test it before it is launched into the real world.
D. Quantum Computing
Quantum Computing often referred to as microcomputing is so powerful and dynamic that it can solve problems that are currently impossible to solve. This technology was first built in 1994 and has developed to the present.
The main problem with this technology is the very expensive cost of manufacturing. So that the research that has been going on until now is to make high-capacity computers at low cost for the wider community.
5.3D Printing
3D printing is not as new a technology as you think it is now. This technology has been around since 1984, it was Chuck Hull who introduced it for the first time with simple results.
3D printing is now starting to be recognized by many people with a well-growing market. This printing is a process by 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 begins by adding layer by layer in order.
Currently, 3D printing can be made using stainless steel by mixing iron, carbon, and nickel materials.
The development of this technology is still in the research stage to answer the needs and anxieties of astronauts or space researchers.
I don't know how many years away, but this technology allows food businesses to make their products like birthday cakes virtually through smartphones.
6. Internet of Things
The Internet of Things or commonly referred to as IoT is an interrelated 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 a biochip transponder in farm animals, and cars have sensors to find out which tires lack air. As well as other objects that can be given an IP address (Internet Protocol) 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 results in data to an IoT gateway and then the data is sent to the cloud for analysis. Such devices do not require human intervention, except to organize and instruct data access.
7. DevOps
DevOps stands for Development and Operations, where work between teams in an IT-based company can better organize its products.
The management of the work makes it possible to carry out the process of building, testing, and releasing software to make it faster and perform well.
The purpose of DevOps is to keep the product (application/software/game) updated to make it more comfortable for users to use.
The value of the product itself will increase as the company implements DevOps.
This practice will improve communication and collaboration between divisions both physical and non-physical. A 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's easy to produce new features that are better for the product.
8. Hyper Automation
As mentioned by Gartner, Inc. (a research-based company and technology advisor) mentioned that hyper-automation is a combination of AI and Machine Learning technology. The goal is to automate the process of a tool with the principles of discovering, analyzing, designing, automating, measuring, monitoring, and reassessing.
This principle of automation is different from other ordinary automation. Tasks with low value can be carried out optimally with continued technological innovation. Hyper-automation does not need tools to manage tasks, as it still needs humans for its operation.
The technology also allows finance teams to get up-to-date and centralized data instantly without conducting data surveys. The finance team only works to determine strategic decisions from automatically obtained data. So that it can improve the accuracy of decisions by identifying risks and opportunities as soon as possible.
9. CyberSecurity
Cyber security appears to secure cyberspace from illegal practices such as data theft, hacking, and others. This protection can be used in a variety of hardware and connected network systems.
The threat of cybercrime is increasing every year. According to a report by RiskBased Security, there were 7.9 billion records of violations within 9 months in 2019.
That's more than double the previous year. Medical services and retailers often suffer these breaches, he said financial and medical data are valuable as crimes.
IT educational institutions in America, it has created many cybersecurity frameworks. It aims to combat malicious code and help with early detection. The majority of the framework 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 attacks on a service. As with the Emotet virus that appears in Australia, Emet thrives on users who use simple passwords. A reminder of the importance of creating complex passwords is an insurmountable solution to this threat.
10. AI as a Service
AI as a Service (AIaaS) is essentially a company as a third party offering artificial intelligence outsourcing. So, everyone can use and take advantage of AI without spending a lot of money to create their own.
Several AI provider platforms provide products in the form of AI and machine learning. Customers such as institutions can buy them and make sure the product works for the company or not. The service is available through cloud AI, so customers don't have to purchase large-capacity computers to operate them.
This technology seems to be a solution for most institutions such as commercial or government companies. As for the large IT companies that have started to provide AI services such as Google (Cloud Platform), Amazon (Web Services), Microsoft (Azure), and IBM (Cloud Developer).
And some small startups like BigML, Dataiku, and Forecast started providing these AI services.
This technology competition is carried out by service providers with how fast and problem solvers in real-time.
You need to know that the contribution of local technology is also no less competitive than foreign countries.
One of them is the selection of drivers with the approach of the closest distance variables, ratings, and others. Big data has also been well managed by the scientific data division as the company's largest asset.
Those are the 10 Technologies that Are the Center of Attention In a World that is advancing into a more modern and sophisticated era.