5 Technologies That Will Be a Trend in the Year 2017

1. AI and Advanced Machine Learning

Machine Learning is an advanced branch of Artificial Intelligence (AI), which includes more sophisticated systems such as being able to understand, study, predict, adapt, and potentially operate independently. Machine learning is predicted to change future behavior, which leads to the creation of devices and programs more intelligent. Gartner predicts AI and Machine Learning will be more widely used in robots, self-contained vehicles, consumer electronics, virtual personal assistants , and smart advisors .
2. Intelligent Apps

An example of Intelligent Apps is a virtual assistant that will make our lives easier. Even Gartner estimates that future assistants have the potential to change the state of the office with the ability to help with daily tasks. Within the next 10 years, each application and service will use several types of AI.

3. Intelligent Things

Intelligent Things will generally be applied in devices like drones , standalone vehicles, and smart appliances . Like Intelligent Apps, Intelligent Things also relies on AI and Advanced Machine Learning. Various intelligent devices and equipment will continue to emerge and increasingly popular.

4. VR and AR
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Today, VR and AR technology is just born. So naturally, if experience using technology of Virtual Reality or Augmented Reality not yet maximal. Gartner estimates that both technologies will continue to grow and peak in 2021.

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10 Technologies That Will Be a Trend in the Year 2017
Featured - October 20, 2016 - by Lukman Azis
10 Technologies That Will Be a Trend in the Year 2017
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Gartner , an information technology research company, has revealed the prediction of technology that will be the trend in 2017. You know, Artificial Intelligence aka artificial intelligence (AI) and Advance Machine Learning topped the top.

As you can see, technology giants like Google, Microsoft, Facebook, Apple and Amazon are competing to develop artificial intelligence based algorithms. The most recent example is a Google Pixel phone with Google Assistant . Furthermore, the following 10 industry technology trends 2017 according to Gartner's prediction.

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Technology Industry Trends 2017 According to Gartner Predictions

1. AI and Advanced Machine Learning

technology-to-trend-2017-1 Machine Learning is an advanced branch of Artificial Intelligence (AI), which includes more sophisticated systems such as being able to understand, study, predict, adapt, and potentially operate independently. Machine learning is predicted to change future behavior, which leads to the creation of devices and programs more intelligent. Gartner predicts AI and Machine Learning will be more widely used in robots, self-contained vehicles, consumer electronics, virtual personal assistants , and smart advisors .

1. Intelligent Apps

technology-to-trend-2017-2 An example of Intelligent Apps is a virtual assistant that will make our lives easier. Even Gartner estimates that future assistants have the potential to change the state of the office with the ability to help with daily tasks. Within the next 10 years, each application and service will use several types of AI.

1. Intelligent Things

technology-to-trend-2017-3 Intelligent Things will generally be applied in devices like drones , standalone vehicles, and smart appliances . Like Intelligent Apps, Intelligent Things also relies on AI and Advanced Machine Learning. Various intelligent devices and equipment will continue to emerge and increasingly popular.

1. VR and AR

technology-to-trend-2017-4 Today, VR and AR technology is just born. So naturally, if experience using technology of Virtual Reality or Augmented Reality not yet maximal. Gartner estimates that both technologies will continue to grow and peak in 2021.

5. Digital Twin

Digital Twin refers to software that is more dynamic, both from the physical and the system. Digital Twin will use the data provided by the sensor to understand the situation, respond to changes, improve operations, and add value. They will be used for service planning and repair equipment for plant operations, and improve efficiency. They will replace a combination of skilled human resources and traditional monitoring tools.