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Top 5 Trending Technologies

Ian is tech specialist. Artificial intelligence and machine learning and trending technologies.

Smartphone laptop (one of the trending technologies)

Smartphone laptop (one of the trending technologies)

Introduction

Technological advancement is being experienced in the current decade. It is rapidly developing. This makes it easier for leading technologies today to fade tomorrow. A lot of resources are being spent on research and development. Computer scientists and professionals are improving existing technologies daily.

As a result, new technologies are born. Here are five latest and trending technologies in 2020 and perhaps in the future.

1. Artificial Intelligence

Artificial intelligence is a kind of technology applied in equipping computer systems with the power to make decisions like a human being. As one of the developing technology, when AI programs are installed to a system, they imitate human intelligence for performing tedious tasks like pattern unlock, speech recognition, weather forecasting, and perhaps medical diagnosis. Are robots artificially equipped with intelligence?

Starting from 2018, AI has been extensively applied in communication and traveling application such as Uber, voice assistance like Siri, video streaming, and IoT.

AI aids in the automation of tasks such as traffic, traveling schedule, making business predictions in terms of profit and loss, and automation of cars.

It is estimated that by the year 2030, AI automation will create close to 80 million jobs. On the contrary, AI might neutralize about 25 million jobs in testing, support, programming, and data science. Developers who don't know much about AI learn less than software developers who do.

So, understanding AI will help you grasp opportunities like:

  1. Data science
  2. Computer vision engineering
  3. Business intelligence development
  4. Data analysis
Nao Robot

Nao Robot

2. Data Science

Second, my rank is data science. This kind of technology solves complicated data sets. You understand the amount of data that are produced daily by companies. Examples of produced data are business data, sales data, customer profile data, and financial or monetary figures.

A significant amount of this data is in the form of unstructured data sets. The task of a data scientist is to convert these unstructured data sets to structured data sets. These data sets are then analyzed to identify the trend and pattern. These trends are essential in ruling out any company's success and identifying areas that need to be worked on.

The estimated salary of a data scientist is nothing below $ 115000 per year. Recall the Havard review referring to this job as "sexiest job of 21st century." However, you must have a sound understanding of mathematics, statistics, computer science, and programming for you to be a top data scientist.

The future field of data science has a lot of goodies since it will create jobs like:

  1. Data science and Architecture
  2. Business engineering and Analysis
  3. Data analysis and engineering
Chart trading (application of data science)

Chart trading (application of data science)

3. Internet of Things (IoT)

The IoT is a network of devices linked to each other. These devices have the freedom to interact and share data. The devices can be connected through Wi-Fi, making them share data about their environment and usage. They have a computer chip that aids the exchange. It is estimated that by 2025, 40 billion of devices powered by IoT will be in use.

IoT does not only allow the connection between different devices but also their remote access. This can be seen in the remote locking of car doors, preheating of ovens and geysers, calory tracking device (FitBit), and IoT improvised machine helps businesses track the performance of those machines and possible maintenance.

Suppose you wish to learn about IoT. The following careers you:

  1. IoT software developer
  2. System design manager
  3. IoT product manager
  4. IoT solution architect
FitBit (green band exercise tracker)

FitBit (green band exercise tracker)

4. Blockchain Technology

Blockchain is the basic technology that enhances electronic currencies such as Bitcoin and Cryptocurrencies. In short, it is an electronic ledger that can be shared among users. They create a transaction record that cannot be changed. Individual papers are time-stamped and are connected to the previous ones. Any time a new customer is embedded in the ledger, it is stored as a different block in the chain of transactions- hence the name blockchain.

They are regularly updated after the contributing parties to the ledger agree. Once new data is improvised into the block, it cannot be deleted. This makes blockchain technology verifiable and secure. Cost is reduced invalidating these transactions since no third party is involved. The technology is so secure; hence no need to pay for centralized agencies, the system is decentralized. Transactions done via blockchain technology are easily tracked.

Though I won't promise you, knowledge in Blockchain technology will land you to these jobs:

  1. Blockchain engineering and development
  2. Blockchain attorney
  3. Blockchain quality engineer
Cryptocurrency concept

Cryptocurrency concept

5. Robotic Process Automation

RPA technology is used in the daily automation of tasks related to artificial intelligence. However, in this case, the software is applicable in automating tasks such as receiving and replying emails, initiating transactions, and dealing with business data

The technology is applicable in automating tasks from low-level employees to high-level officials. It is estimated that RPA can automate more than 35% of tasks daily. McKinsey insinuated that less than 50% of all repetitive tasks could partially be automated using RPA technology. This makes the technology a threat to our jobs.

On the contrary, the technology will create a lot of job opportunities in the automation sector. RPA tools can be provided by Blue Prism, Automation Anywhere, WorkFusion, and many other vendors. Hence, there is a great demand for professionals skilled in RPA.

RPA job opportunities :

  1. RPA developer and consultant
  2. RPA project manager
  3. RPA solution architects

Conclusion

I hope you enjoyed my top 5 trending technologies article. In this most competitive information technology industry, securing a job is a challenge. However, if you continue upskilling and learning new technologies and tools, chances are high of securing a position in any digital enterprise. This article is where to begin.

This content is accurate and true to the best of the author’s knowledge and is not meant to substitute for formal and individualized advice from a qualified professional.

© 2020 Ian Muiruri