Want to stay in the conversation in 2020? Then you need to know which 'buzzwords' are going to be thrown at us again! In this blog, I highlight 10 of them and provide a brief explanation for each.
Recently, consultancy firm Gartner released the Top 10 Technology Trends for the year 2020. Always a list with a high 'buzzword' factor. Of course, it's very interesting to see what we’ll be facing in the years to come.
Also: which trends will fade into oblivion? And which ones will stick around?
Here is the top 10 for 2020:
1. Hyperautomation
Hyperautomation involves the use of advanced technologies (such as artificial intelligence and machine learning) to increasingly automate processes. Often, Hyperautomation leads to the development of a digital twin (a buzzword from last year...) of the organization.
2. Multiexperience
This trend flips the principle of 'people needing to adapt to technology' to 'technology needs to adapt to people.' In other words, technology and its interface will increasingly adapt to us instead of the other way around.
In Multiexperience, the traditional idea of a computer with a single point of interaction (interface) is expanded to include many forms of interaction (and interfaces), such as wearables and advanced sensors that allow people to control computers. You can also think of recent developments in Augmented and Virtual Reality.
3. Democratization
Democratization of technology means that people can access technology easily, without having undergone extensive and expensive training. The term 'citizen access' is related, along with a slew of 'citizen buzzwords' such as citizen data scientists, citizen programmers, etc.
4. Human augmentation
Human augmentation is the use of technology to enhance human cognitive and physical abilities. Think of implants or exoskeletons, for example. Genetic augmentation (using CRISPR technology) is also part of this.
5. Transparency and traceability
The evolution of technology is also creating a trust crisis. Consumers are becoming increasingly aware that their data is being collected and used. GDPR legislation is a current example of measures taken to (re)build trust. Additionally, we are seeing more AI and machine learning models being used to make decisions instead of humans. Transparency and traceability in these processes are becoming increasingly important.
6. The empowered edge
In edge computing, the (technology-intensive) process of collecting and processing information shifts from a central location to a place closer to the sources of information (e.g., IoT devices). The idea is to reduce (data) traffic and decrease latency. This is becoming increasingly important with the rapid growth of the Internet of Things.
7. The distributed cloud
Distributed cloud refers to the relocation of public cloud services to a location outside the cloud provider’s physical data center—while the storage and processing remain the responsibility of that same provider.
8. Autonomous things
This involves, among others, drones, robots, ships, and devices that use AI to perform tasks normally done by humans. These applications will increasingly move from controlled environments into public spaces.
9. Practical blockchain
An old buzzword, now with the word 'practical' in front of it. Blockchain technology, which allows for (secure) transactions without the involvement of an 'official party,' has many applications. So far, it's mainly used on a small and experimental scale. The expectation is that blockchain technology will be fully scalable by 2023.
10. AI security
Emerging technologies such as hyperautomation and autonomous things offer huge opportunities for people and companies. But on the flip side, they also present (sometimes unknown) security issues and new types of crime. AI security is the field that addresses these concerns.
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Raymond te Veldhuis
CheckData and DataJobs.nl