Nine Tech Industries To Look At In This Decade

Artificial Intelligence

aiaas
Artificial Intelligence as a Service (AlaaS) helps organizations incorporate artificial intelligence (AI) functionality without the associated expertise. Usually, AIaaS services are built upon cloud-based providers like Amazon AWS, Google Cloud, Microsoft Azure, and IMB Cloud, used as IaaS. The AI service, framework, and workflows built upon these infrastructures are offered to final customers for various use cases (e.g., inventory management services, manufacturing optimizations, text generation).

Augmented and Virtual Reality

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Just like Virtual Reality (VR) develops an entirely new environment for the user using the technology and replaces the existing real environment, AR uses the current and real environment. Still, the objects inside are enhanced to stimulate user perception. It alters one or multiple aspects of the environment for interaction and enriches the experience. Whereas VR would have replaced the entire room and shown you an entirely manipulated environment, AR enables users to use the same environment and observe different objects within it.

Quantum Computing

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Quantum Computing involves the use of several quantum phenomena to perform computations. One of these is entanglement. These phenomena help speed up exponentially the computational power, thus bringing computing to the next level as quantum computers operate at much higher speeds than classical computers. It also allows them to use less energy in performing the same operations as a classical one.

5G Technology

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5G stands for the latest or fifth-generation broadband cellular networks, as the successor of 4G, 5G will offer far greater bandwidth than 4G. Along with this, the download speed it will offer is also far better than the current technologies, and it is expected to reach up to 10 gigabits per second. This is critical for the further development of heavy-computational industries like AI and IoT.

Edge Computing

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Edge computing is a paradigm for distributed computing where data is stored closer to its physical location, enabling better performance and scalability for data processing. Thus, edge computing is critical to enable other major technologies to scale, like IoT and 5G. Thus making it possible to process a wider amount of data at a lower cost. This is why edge computing is also critical to the development of the AI industry.

3D Printing

3d-printing
3D printing is the activity of transforming digital files into 3D objects. 3D printing has been used for various use cases, from small objects (like art pieces) to houses and more. This technology might democratize the production process by enabling cheaper manufacturing and, over the long run, people to manufacture objects from their homes, thus triggering decentralized mass manufacturing.

Machine Learning

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Machine Learning Ops (MLOps) describes a suite of best practices that successfully help a business run artificial intelligence. It consists of the skills, workflows, and processes to create, run, and maintain machine learning models to help various operational processes within organizations.

Blockchain and Cryptos

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Establishing a robust infrastructure is the cornerstone of cloud computing. It often accounts for a third of the total amount spent on IT in a majority of businesses. Instead of taking computer workloads through the internal IT team, this traditional approach seemed to be long gone. Modern industries that embrace digital transformation with open arms gradually transfer systems into the cloud. Whether the information is on a private or public cloud, it offers increased security and safety against cyber threats. The result of increased cloud usage opens doors for cloud computing services provided by vendors and enterprises.

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