Cloud computing, artificial intelligence and new hardware give big data analysis the future

Today, big data has become a familiar term, but the strategy to be introduced in 2018 will completely break the development status quo of big data.
This new technology belongs to the category of big data analysis, which is also the reason why people have collected data for interaction since the beginning of the digital era. As long as information is indexed, the development of computers over the past decade will be overturned. However, advances in cloud computing have enabled vast computer networks to work together, compressing data, and providing actionable intelligence.
1. Cloud computing servers are more accessible than ever before
The Backbone behind cloud computing is a cloud computing server that can be deployed in real-time, and can be expanded on demand to meet the needs of enterprises or organizations to use them.
The transformation of enterprise business from dedicated physical servers to cloud computing servers is taking place at an alarming rate, which is well justified. “If one server fails, the other servers in the cluster will eliminate redundancy,” said LCN, a provider of cloud computing hosting systems
The better reliability and scalability of cloud computing will continue to drive the large-scale computing needs of large enterprises as they comb their data to find new insights that affect future development.
2. Flash products become a new standard
If you look at the current configuration of commercial computers, almost all computers priced above $500 are equipped with solid-state hard drives (SSDs). These flash memory devices allow instant access to information, while traditional mechanical hard disks (HDDs) access data relatively slowly because they read data on rotating disks through magnetic heads, similar to traditional vinyl records.
Mechanical hard disks (HDDs) are not only more prone to movement or mechanical failures, but also slower. Solid state hard disks (SSDs) access data instantly through electronic channels, rather than waiting for the magnetic head to reach the access data sector, as in mechanical hard disks.
In terms of servers, in addition to the low-end market for mainframes, solid-state drives have become the mainstream product adopted by many users. SSD can instantly access a large amount of data, providing all possible consumption information for cloud computing platforms. This means that petabyte level data analysis can be completed at a record speed, enabling more comprehensive algorithms to be run in a shorter time.
This trend has not slowed. In 2018, the mechanical hard disk (HDD) market will shrink by 6.4%, while the solid-state hard disk (SSD) market will grow by 23.6%.
3. Artificial intelligence is booming
From Uber to IBM, many enterprises have adopted artificial intelligence technology. This is an exciting industry area, as it is expected to significantly reduce the daily workload of humans. The artificial intelligence platform can enable cars to drive automatically and effectively cope with busy traffic conditions. Marketing analysts no longer need to bother deciding which products to launch in the next quarter, but can learn and understand the rapidly changing world in real-time, completing complex tasks.
Artificial intelligence is not only a software program that can complete challenging tasks, but also can change methods to achieve its specified goals when the environment changes. In the business world, change is eternal. The way companies interact with customers, compete in the market, and deliver results to shareholders largely depends on how people respond to change.
In the enterprise sector, artificial intelligence is expected to achieve a huge commitment in 2018. This benefits from more powerful processors, such as Intel’s i7X and Xeon server hardware, which can analyze more data in a shorter time. For big data analysis, using stronger hardware means that more reliable results can be obtained.
AI will use these tools to gobble up data, perform analysis, and complete tasks in a more efficient manner. Instead of racking their brains to write software to complete a series of tasks, programmers begin to plan goals or expected results. Artificial intelligence can be used to analyze landscapes and determine the most effective ways to achieve goals.
Neural Networks Need Automation
Another aspect of AI is worth mentioning, but it is also the most time-consuming. Neural networks are the brains behind artificial intelligence. It typically runs the most advanced artificial intelligence on cloud architectures and is modified in real-time by skilled engineers from around the world. However, creating and maintaining a qualified neural network takes a long time. Without it, machine learning would be impossible.
Wouldn’t it be great if people could develop computing infrastructure similar to business goals and generate a huge neural network on the path to artificial neural networks? Perhaps this will happen in 2019.
4. Using Mobile AI
Qualcomm has introduced the Snapdragon 845 chip, which is a mobile processor capable of providing artificial intelligence technology in local deployments without network connectivity to gain cloud computing capabilities and complete more basic tasks. https://forum.stoneitech.com/
This is a huge technological advance. This provides the possibility for developers to create mobile AI for local storage and processing for the first time. Uber is pleased with this because they are competing to make autonomous vehicle, trucks and buses. There is no doubt that 2018 will witness vigorous development in this field.
In summary, this will be an exciting year for big data analysis. Cloud computing server technology is easier to obtain, and even small companies can use the functions required for massive data processing. Artificial intelligence will continue to benefit from and support big data analysis, as its use in daily life will increase.