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5 Technology Trends to Learn If You Want a Great Career

  • Oct 27, 2019
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We are amidst the 4th Industrial Revolution, and technology is evolving faster than ever. Here are some of the technology trends that can give you a great career.

1)Internet Of Things(IoT)

Internet of Things (IoT) makes our world as possible as connected together. Nowadays we almost have internet infrastructure wherever and we can use it whenever. Embedded computing devices would be exposed to internet influence. Common instances for embedded computing devices are MP3 players, MRI, traffic lights, microwave ovens, washing machines and dishwashers, GPS even heart monitoring implants or biochip and etc.

* IOT aims to connect multiple gadgets with each other and form a network where all the devices can be operated with a central control.
* Organizations have worked very hard to shape IOT a reality and its soon going to be implemented in a way never before.
* Devices will be made to share data and communicate each other which of course add a lot of comfort to the life of humans.

iot

IoT tries to establish advanced connectivity (with the aid of internet) among these mentioned device or systems or services. In a nutshell IoT wants to connect all potential objects to interact each other on the internet to provide secure, comfort life for human.

2)UX Design

User experience (UX) design is the process design teams use to create products that provide meaningful and relevant experiences to users. This involves the design of the entire process of acquiring and integrating the product, including aspects of branding, design, usability and function.

UX DESIGN IS NOT ONE SIZE FITS ALL
User experience design won’t work in every situation for every user because, as human beings, we are all different. What works for one person might have the opposite effect on another. The best we can do is design for specific experiences and promote certain behaviors, but we can’t manufacture, impose or predict the actual experience itself. ux design

And just as we can’t design a user experience, we can’t replicate the user experience for one website exactly on another website. User experiences will be different between websites. a design must be tailored to the goals, values, production process and products of its website.

3)Machine Learning

Machine Learning is valuable when you don’t know the important input variables to make that decision and therefore you give the Machine Learning algorithm the goal and then it learns the from the data, that which factors are important in achieving the goal.

A great example is Google’s application of machine learning to its data centers last year. Data centers need to remain cool, so they require vast amounts of energy for their cooling systems to function properly. This represents a significant cost to Google, so the goal was to increase efficiency with machine learning. machine learning

With 120 variables affecting the cooling system (i.e. fans, pumps, speeds, windows, etc.), building a model with classic approaches would be a huge undertaking. Instead, Google applied machine learning and cut its overall energy consumption by 15%. That represents hundreds of millions of dollars in savings for Google in the coming years.

4)Blockchain

In the simplest of terms, a Blockchain is a decentralized peer-to-peer network that allows two parties to deal directly with each other without the need for a medium.

They rely on unique cryptographic codes that provide a fully transparent, chronological order of events that is indisputable and visible to all users registered on the network, while at the same time protecting the identities of those involved. blockchain

The benefits to this type of network are the potential cost savings they offer by cutting out a middle man, enhancing user trust as well as alleviating time delays caused by waiting for a transaction to be verified.

5)Big Data

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters.

Big data can be analyzed for insights that lead to better decisions and strategic business moves. bigdata

The 3 V's of Big Data:

Volume: Organizations collect data from a variety of sources, including business transactions, smart (IoT) devices, industrial equipment, videos, social media and more. In the past, storing it would have been a problem – but cheaper storage on platforms like data lakes and Hadoop have eased the burden.
Velocity: With the growth in the Internet of Things, data streams in to businesses at an unprecedented speed and must be handled in a timely manner. RFID tags, sensors and smart meters are driving the need to deal with these torrents of data in near-real time.
Variety: Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions.

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