Home Common Problem When will big data and cloud computing usher in the era of the Internet?

When will big data and cloud computing usher in the era of the Internet?

Dec 27, 2021 pm 04:40 PM
cloud computing internet Big Data

Big data and cloud computing usher in the era of artificial intelligence on the Internet. Thanks to the support of big data and cloud computing, the Internet is expanding to the Internet of Things and further upgrading to the era of artificial intelligence with better experience and liberating productivity.

When will big data and cloud computing usher in the era of the Internet?

The operating environment of this tutorial: Windows 7 system, DELL G3 computer.

Big data and cloud computing usher in the era of artificial intelligence on the Internet.

The boundaries between the three are becoming increasingly blurred

"Artificial intelligence technology is actually a very broad technology, which not only covers speech recognition, image recognition, natural language Understanding and user portraits are actually becoming more and more blurred with big data and cloud computing." Robin Li once described the relationship between artificial intelligence, big data, and cloud computing.

The reason why artificial intelligence has become so popular in recent years after so many years is due to the key artificial intelligence technology that emerged in 2006 - "deep learning". Only then did artificial intelligence have practical value, and depth Learn about the substantial progress that has only been made in the context of the increasing maturity of cloud computing and big data.

Relevant data shows that the scale of the cloud computing market is expected to reach 1 trillion US dollars in the future. In the past ten years, it has developed into a "tsunami" that will reshape the way enterprises think about and use technology, thus attracting many Microsofts. , Google, Amazon, Baidu and other technology giants compete. However, in traditional concepts, the outside world's understanding of the so-called cloud still remains as a tool for storage and computing.

The three are very closely connected

In fact, big data and cloud computing are of far-reaching significance in leading to artificial intelligence, and the rapid advancement of artificial intelligence and the development of massive data The accumulation also brings new possibilities to cloud computing.

But in the final analysis, artificial intelligence has been applied to speech recognition, image processing, computer vision, and even defeated Lee Sedol in the Go nine-dan robotics field. Behind today's series of achievements is the accumulation and learning of massive big data. And in the era without cloud, everything is unimaginable.

It is precisely thanks to the support of big data and cloud computing that the Internet is expanding to the Internet of Things and further upgrading to the era of artificial intelligence with better experience and liberating productivity. To borrow more professional words from Baidu President Zhang Yaqin, driven by the three forces of big data, cloud computing, and artificial intelligence, in the next 30 years, everything in the virtual world will truly become physical.

Three forces work together

In this development process, far-sighted giant companies have begun to use data scale and technological advantages to deepen their layout and prepare for a new round of development. PK battle preparation.

The ability to process data on a large scale, artificial intelligence, and innovations in many fields can be provided to society as tools. The combination of all these capabilities can actually play a very unique role in various industries.

It can be seen that whether it is cloud computing, big data or artificial intelligence, it will become the mainstream of the future market. There is a saying that the fuel of artificial intelligence is big data, and cloud computing is the engine.

With the advancement of technology and the development of the times, whether it is cloud computing, big data, or artificial intelligence, they will become new development opportunities. We must understand their essence, seize opportunities, keep up with trends, and innovate and develop in order to remain invincible in the high-tech development trend.

For more related knowledge, please visit the FAQ column!

The above is the detailed content of When will big data and cloud computing usher in the era of the Internet?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Chat Commands and How to Use Them
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Cloud computing giant launches legal battle: Amazon sues Nokia for patent infringement Cloud computing giant launches legal battle: Amazon sues Nokia for patent infringement Jul 31, 2024 pm 12:47 PM

According to news from this site on July 31, technology giant Amazon sued Finnish telecommunications company Nokia in the federal court of Delaware on Tuesday, accusing it of infringing on more than a dozen Amazon patents related to cloud computing technology. 1. Amazon stated in the lawsuit that Nokia abused Amazon Cloud Computing Service (AWS) related technologies, including cloud computing infrastructure, security and performance technologies, to enhance its own cloud service products. Amazon launched AWS in 2006 and its groundbreaking cloud computing technology had been developed since the early 2000s, the complaint said. "Amazon is a pioneer in cloud computing, and now Nokia is using Amazon's patented cloud computing innovations without permission," the complaint reads. Amazon asks court for injunction to block

C++ Cloud Computing Best Practices: Deployment, Management, and Scalability Considerations C++ Cloud Computing Best Practices: Deployment, Management, and Scalability Considerations Jun 01, 2024 pm 05:51 PM

To achieve effective deployment of C++ cloud applications, best practices include: containerized deployment, using containers such as Docker. Use CI/CD to automate the release process. Use version control to manage code changes. Implement logging and monitoring to track application health. Use automatic scaling to optimize resource utilization. Manage application infrastructure with cloud management services. Use horizontal scaling and vertical scaling to adjust application capacity based on demand.

Big data processing in C++ technology: How to use in-memory databases to optimize big data performance? Big data processing in C++ technology: How to use in-memory databases to optimize big data performance? May 31, 2024 pm 07:34 PM

In big data processing, using an in-memory database (such as Aerospike) can improve the performance of C++ applications because it stores data in computer memory, eliminating disk I/O bottlenecks and significantly increasing data access speeds. Practical cases show that the query speed of using an in-memory database is several orders of magnitude faster than using a hard disk database.

Java Cloud Computing: Cloud Migration Strategies and Steps Java Cloud Computing: Cloud Migration Strategies and Steps Jun 05, 2024 pm 03:54 PM

Java cloud migration involves migrating applications and data to cloud platforms to gain benefits such as scaling, elasticity, and cost optimization. Best practices include: Thoroughly assess migration eligibility and potential challenges. Migrate in stages to reduce risk. Adopt cloud-first principles and build cloud-native applications wherever possible. Use containerization to simplify migration and improve portability. Simplify the migration process with automation. Cloud migration steps cover planning and assessment, preparing the target environment, migrating applications, migrating data, testing and validation, and optimization and monitoring. By following these practices, Java developers can successfully migrate to the cloud and reap the benefits of cloud computing, mitigating risks and ensuring successful migrations through automated and staged migrations.

Integration of PHP REST API and cloud computing platform Integration of PHP REST API and cloud computing platform Jun 04, 2024 pm 03:52 PM

The advantages of integrating PHPRESTAPI with the cloud computing platform: scalability, reliability, and elasticity. Steps: 1. Create a GCP project and service account. 2. Install the GoogleAPIPHP library. 3. Initialize the GCP client library. 4. Develop REST API endpoints. Best practices: use caching, handle errors, limit request rates, use HTTPS. Practical case: Upload files to Google Cloud Storage using Cloud Storage client library.

Java Cloud Computing: A Guide to High Availability and Fault Tolerance Strategies Java Cloud Computing: A Guide to High Availability and Fault Tolerance Strategies Jun 01, 2024 pm 01:00 PM

This article provides guidance on high availability and fault tolerance strategies for Java cloud computing applications, including the following strategies: High availability strategy: Load balancing Auto-scaling Redundant deployment Multi-region persistence Failover Fault tolerance strategy: Retry mechanism Circuit interruption Idempotent operation timeout and callback Bounce error handling practical cases demonstrate the application of these strategies in different scenarios, such as load balancing and auto-scaling to cope with peak traffic, redundant deployment and failover to improve reliability, and retry mechanisms and idempotent operations to prevent data loss. .

Java framework for big data and cloud computing parallel computing solution Java framework for big data and cloud computing parallel computing solution Jun 05, 2024 pm 08:19 PM

In order to effectively deal with the challenges of big data processing and analysis, Java framework and cloud computing parallel computing solutions provide the following methods: Java framework: Apache Spark, Hadoop, Flink and other frameworks are specially used to process big data, providing distributed engines, file systems and Stream processing capabilities. Cloud computing parallel computing: AWS, Azure, GCP and other platforms provide elastic and scalable parallel computing resources, such as EC2, AzureBatch, BigQuery and other services.

Big data processing in C++ technology: How to effectively store and retrieve large data sets? Big data processing in C++ technology: How to effectively store and retrieve large data sets? Jun 02, 2024 am 10:47 AM

Efficient storage and retrieval strategies for big data processing in C++: Storage strategies: arrays and vectors (fast access), linked lists and lists (dynamic insertion and deletion), hash tables (fast lookup and retrieval), databases (scalability and flexibility data management). Retrieval skills: indexing (quick search of elements), binary search (quick search of ordered data sets), hash table (quick search).