New Technologies

New Technologies designate highly evolving fields and various techniques, which can make relationships between people and with machines more accessible:

1. In the broad sense, all “high technology”;
2. In the narrow sense, new information and communication techniques (ICT) (Internet, Smartphone, Bluetooth protocol, etc.).

We are in the middle of the 4th industrial revolution and technology is changing faster than ever. Here are the most imminent trends everyone should prepare for new technologies:

Example of New Technologies

AI as a service

Artificial intelligence (AI) is one of the most transformative technological developments of our time. As highlighted in Bernard Marr’s book, Artificial Intelligence in Practice, most companies have started to explore ways to use AI to improve the customer experience and streamline their business operations. This will continue and as people become more accustomed to working with AI, designing and deploying our own AI-based systems will remain a costly proposition for most businesses.

For this reason, a large part of artificial intelligence applications will continue to be carried out via ‘as a service’ platform providers, which simply allows us to input our own data and pay for algorithms or computational resources. during their use.

Currently, these platforms, provided by companies like Amazon, Google, and Microsoft, tend to be quite broad in scope, with some (often expensive) custom engineering required to apply them to specific tasks an organization may require. We will see wider adoption and a growing number of vendors who may begin to offer applications and services more suited to specific or specialized tasks. So no business will have more excuses for not using AI.

Read also ? Behavioral Economics and How to Apply it to your Customer Relationship

5G data networks

The 5th generation of mobile internet connectivity is going to allow us super-fast download and upload speeds, as well as more stable connections. Although 5G mobile data networks first became available in 2019, they were mostly still expensive and could only operate in confined spaces or large cities. With more affordable data plans as well as vastly improved coverage, meaning everyone can enjoy it.

Lightning-fast data networks will not only give us the ability to stream movies and listen to music, in superior quality, even when we are on the move. The dramatically increased speeds will make mobile networks more usable than wired networks operating in our homes and businesses. Businesses need to consider the business implications of super-fast, stable, anywhere Internet access. With new technologies, the increased bandwidth will allow machines, robots and autonomous vehicles to collect and transfer more data than ever before, leading to advancements in the Internet of Things (Internet of Things, IoT ) and intelligent machines.

Autonomous driving

Even though we are not yet at the stage where we can expect to regularly travel in autonomous vehicles, or even see their emergence, they will undoubtedly continue to generate great enthusiasm.

Tesla chief Elon Musk said he expects his company to create a truly “complete” autonomous vehicle by the end of the year, and vehicles capable of operating with less range – like automated braking and lane changing – will become commonplace. In addition, other in-car systems not directly related to driving, such as safety and entertainment functions, will become increasingly automated and depend on data capture and analysis. Google’s sister company Waymo has just completed a trial of self-driving taxis in California.

Of course, it’s not just about cars, road and shipping will also become increasingly self-sufficient, and breakthroughs in this area.

With the development of autonomous driving technology, we will also hear more and more about actions taken by regulators, lawmakers and authorities. Changes to laws, existing infrastructure, and social attitudes will likely be necessary before autonomous driving becomes a practical reality for most of us. The autonomous driving debate is likely to spread outside the tech world, with more and more people questioning the idea that the question is not “if” but “when”, It will become a reality.

Personalized and predictive medicine

Technology is transforming healthcare at an unprecedented rate. The ability to collect data from portable devices such as smartwatches will allow us to increasingly predict and treat health problems in people before they even show symptoms.

When it comes to processing, we’ll see much more personalized approaches. There is also talk of precision medicine, which will allow doctors to more precisely prescribe drugs and apply treatments, thanks to a database that will help to see their likely effectiveness for a specific patient.

Thanks to recent technological advancements, especially in the fields of genomics and AI, this idea is not new, but it does allow us to better understand how the bodies of different people are more or less well equipped to fight. specific diseases, and whether they are likely to respond to different types of drugs or treatments.

With new technologies in predictive medicine, we will see new applications of predictive healthcare and the introduction of more personalized and effective treatments to ensure better outcomes for every patient.

Computer vision

In computational terms, “vision” involves systems capable of identifying elements, places, objects or people from visual images – those gathered by a camera or sensor. It is this technology that allows your smartphone’s camera to recognize which part of the image it captures is a face and feeds into technology such as Google Image Search.

We will see tools and technology with computer vision deployed for more and more uses. This is fundamental to how self-driving cars will be able to “see” and control danger. Production lines will use computer vision cameras to detect faulty products or equipment failures, and security cameras will be able to alert us to anything out of the ordinary, without the need for 24-hour monitoring, 7 days on 7.

With new technologies in computer vision also enables facial recognition. We have already seen how the technology allows to control access to our smartphones in the case of Apple FaceID and how the airport of Dubai uses it to offer the customer a more peaceful journey.

Robots

Relieve humans of low added value tasks or on the contrary increase their activities, whether they are electromechanical or a virtual agent, robots are always more efficient and autonomous. If the myth of the “job destroyer” is still very much present in some minds, the involvement of robots in the company’s value chain should be put into perspective with regard to the time they will free up for employees, allowing them to focus on what the robot itself can never bring: its creativity.

Extended reality

Extended Reality (or XR) is a broad term that covers several new and emerging technologies used to create more immersive digital experiences. More specifically, it refers to virtual, augmented and mixed reality. Virtual Reality (or VR) offers a fully digital immersive experience in which you step into a computer-generated world, using headsets that blend into the real world. Augmented Reality (AR) superimposes digital objects on the real world via smartphone screens (think Snapchat filters). Mixed Reality (or MR) is an extension of AR, which means that users can interact with digital objects placed in the real world (imagine playing on a holographic piano that you placed in room via AR headset).

These technologies have been around for a few years now, but they are largely confined to the entertainment world – with the Oculus Rift and Vive headsets currently providing the cutting edge in video game technology, and smartphone features such as camera filters and games in the style of Pokemon Go, are the most visible examples of AR.

With new technologies in virtual reality and augmented reality will increasingly be used for training and simulation, while offering new ways of interacting with customers.

Blockchain technology

Blockchain is a technological trend for storing and transmitting information without a controlling body. With new technologies in blockchain, they are essential in a digital ledger used to record transactions, but secure due to its encrypted and decentralized nature. In 2019, some commentators began to say that this technology was being over-promoted and perhaps less useful than expected. However, the continued investments by FedEx, IBM, Walmart and Mastercard in 2019 should start to pay off and, if they can prove their case, could quickly lead to increased adoption by smaller players.

Examples of New Era Technologies (Emerging Technology)

Agriculture

Aviation

Construction

Architecture

Materials and textile science

Optoelectronics

Electronics

Energy

Entertainment

IT and communications

Medical

Neuroscience

Military

Space

Robotics

Transport

Source: PinterPandai, Wikipedia

Photo credit: Pixabay