10 technology trends for 2019

The research and consulting company Gartner deals with technology trends. It assumes that in the future blockchain, quantum computers, advanced analytics and artificial intelligence (AI) will not only cause technical disruptions, but also new business models.

AI robots are often portrayed as villains in science fiction films. Still, some tech companies are using them today for security. Companies like Microsoft and Uber use Knightscope K5 robots to monitor parking lots and large outdoor areas. This enables them to predict and prevent crimes. The robots read license plates, report suspicious activity, and collect data to report to their owners.

These AI-controlled robots are just one example of “autonomous things”. The future will be shaped by intelligent devices offering digital services everywhere.

The “Gartner Top 10 Strategic Technology Trends” show changing or not yet generally recognized trends that will affect and change the industry by 2023:

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1. Autonomous things

Cars, robots or agriculture: Autonomous things use Artificial Intelligence (AI) to perform tasks that are traditionally done by humans. The complexity of intelligence varies, but all autonomous things use AI to interact more naturally with their environment.

Autonomous things come in five types

      • robotics
      • vehicles
      • Drones
      • devices
      • Agents

These five types cover four environments

      • water
      • country
      • air
      • digital

They all work with different skills, coordination and intelligence.

For example, a drone that is operated in the air with human assistance can connect to an agricultural robot that works completely autonomously in a field.

This results in a great many possible uses for autonomous things. Practically every application, every service and every object will contain some form of Artificial Intelligence (AI) to automate or expand processes or human actions.

EXTRA: AI: Advantages and disadvantages of robots in the workplace

2. Advanced analytics

There is more and more data for data scientists to analyze and draw conclusions from. Given the amount of data, it’s impossible to exhaust all scenarios, so companies could miss out on important trends.

Advanced analytics is an area of ​​advanced intelligence that machine learning (ML) uses instead of data scientists.

By 2020, more than 40% of tasks in data science will be automated.

3. AI-driven development

As companies increasingly use AI-powered tools and technologies during development, the need for easy-to-use tools grows.

Gartner states that this will lead to a “Citizen Application Developer”. With its help, non-professionals can find new solutions with AI-based tools. And that with a new and improved level of flexibility and complexity.

4. Digital twin

A digital twin is a digital representation that reflects a real object, process or system. The idea of ​​a digital twin is not new. It is based on computerized representations of things or online profiles of customers.

Digital twins can improve decision-making in companies by providing information about maintenance and reliability, insights into the performance of a product, data about new products and efficiency gains.

Digital twins of a company are created in order to create models for organizational processes that enable real-time monitoring and enable improved process efficiency.

Gartner Inc. the world’s leading research & consulting company presents:

Top 10 Strategic #Technology #Trends 2019. # Autonomous #AR #AI #DigitalTwin #EdgeComputing #VR #MR #Blockchain #SmartCities #quantumcomputing #Privacy TY! @ FrRonconipic.twitter.com / R4HwYQxqoI @ Gartner_inc

– Ludmila Morozova-Buss (@TopCyberNews) December 6, 2018

5. Empowered Edge

Edge computing is a technology that relates to the end devices of the users. When processing, collecting and delivering content, the technology is placed closer to the sources of information.

With the development of the Internet of Things (IoT), there is a need to promote local processing and no longer switch between central cloud servers.

Gartner expects a steady increase in the embedding of sensor, storage, computing and advanced AI functions in edge devices by 2028.

6. Immersive Technologies

By 2028, technologies like Augmented Reality (AR), Mixed Reality (MR) and Virtual Reality (VR), which are changing the way we perceive the world, will lead to a new immersive experience.

In the future, discussion platforms, whether with virtual personal assistants or chatbots, will contain expanded sensory channels: emotions can be recognized based on facial expressions and used for interaction.

EXTRA: What is a chatbot and what does it bring companies?

7. Blockchain

Through blockchain, companies convey trust and transparency.

This allows consumers to keep track of a transaction without the need for a centralized party (e.g. a bank). This greatly reduces business problems and has found application in finance, but is expanding to government, healthcare, manufacturing, supply chain, and others.

Blockchain could potentially:

  • cut costs
  • shorten processing times
  • improve cash flow

8. Smart Spaces

A smart space is a physical or digital environment in which humans and technology interact in an open, networked, coordinated and intelligent ecosystem.

The trend towards intelligent spaces is evident in smart cities, digital workplaces, smart homes and networked factories.

Here is an example of civil protection:

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9. Digital ethics and data protection

Consumers are increasingly aware of the value of their personal data. Companies should therefore pay close attention to digital ethics and data protection.

Discussions about privacy must be based on ethics and trust. The conversation should move from “Are we compliant?” To “Are we doing the right thing”?

Increasingly, governments are planning or enacting data protection laws that companies must comply with. And consumers carefully protect or remove information about themselves. Businesses need to win and retain customer trust to be successful. And they have to use internal values ​​to ensure that customers see them as trustworthy.

10. Quantum computers

One way to understand the difference between traditional and quantum computers is to imagine a huge library of books. While a classic computer would read every book in a library linearly, a quantum computer would read all books at the same time. Quantum computers are theoretically capable of performing millions of calculations at once.

Kasey Panetta has no position in any of the stocks mentioned. We have translated it for you so that we can exchange ideas with our readers on relevant topics!

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