Gartner’s Leading Strategy Technology.(Part 2 )

6. Empowered Edge.

Edge computing is a topology in which information processing, content collection, and distribution are located closer to information sources, from the inference that keeping traffic local and distributed reduces delay. Edge computing encompasses all IoT technologies. Enhancing edge capabilities forms the foundation for smart spaces, and brings mission-critical applications and services closer to the users and devices that use them.

By 2023, the number of intelligent edge devices will be 20 times more than conventional IT devices.

7. Distributed Cloud Computing.

This trend refers to the distribution of public cloud services to points outside the cloud provider’s physical data centers, but still controlled by the provider. In distributed cloud computing, the cloud provider is responsible for all aspects of the cloud including service architecture, delivery, operations, administration, and updates. The evolution from centralized public cloud to distributed public cloud ushers in a new era for cloud computing technology.

This solves both technical issues like latency and legal challenges like data sovereignty. In addition to the benefits of a public cloud service, it still offers the benefits of a local private cloud.

8. Autonomous Things (Autonomous Things).

Self-driving technologies include drones, robots, ships and devices, mining, and the application of AI to perform tasks normally performed by humans. This technology works on many levels, from semi-automatic to fully automatic and on a variety of environments including air, sea and ground.

While self-driving technologies currently mainly exist in controlled environments, such as mines or warehouses, in the future they will develop in open public spaces.

9. Applying blockchain into practice (Practical Blockchain)

Blockchain is a type of distributed ledger, an extended chronological list of transaction records that are cryptographically signed, irrevocable, and shared by all participating users in the network.

It also allows two or more unknown parties to interact securely in a digital environment and exchange value without the need for a centralized authority.

The complete blockchain model consists of five elements: A shared and distributed ledger, immutable and traceable ledger, encryption, token digitization, and a distributed public consensus mechanism. However, blockchain is still not quite ready to be deployed in enterprises due to a series of technical issues including poor scalability and interoperability.

In the future, the real blockchain or “complete blockchain”, will have the ability to transform the industry in particular and the economy in general, when integrated with complementary technologies such as AI and IoT. This will allow an expanded audience to include machines, which will be able to exchange many types of assets – from money to real estate.

Blockchain has appeared in small-scale pilot projects and will be able to be fully scaled up before 2023.

10. AI Security (AI Security)

Evolving technologies such as hyper-automation and self-driving technology present many opportunities for change in the business world. However, they also create security holes by exposing many new potential attack points. Security teams must address these challenges and be aware of AI’s impact on security.

AI security has three main aspects:

(1) Protect AI-enabled systems: Secure AI training data, training processes, and ML models.

(2) Use AI to strengthen security defenses: Use ML to recognize patterns, detect attacks, and automate parts of the network security process.

(3) Anticipate attackers’ nefarious use of AI: Identify attacks and defenses against them.

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Gartner’s Leading Strategy Technology.(Part 1 )

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