Artificial Intelligence

By Author: datawave
Total Articles: 1
Comment this article

As the hype around AI has accelerated, vendors have been scrambling to promote how their products and services use AI. Often what they refer to as AI is simply one component of AI, such as machine learning. AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. No one programming language is synonymous with AI, but a few, including Python, R and Java, are popular.

In general, AI systems work by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states. In this way, a chatbot that is fed examples of text chats can learn to produce lifelike exchanges with people, or an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples.

AI is important because it can give enterprises insights into their operations that they may not have been aware of previously and because, in some cases, AI can perform tasks better than humans. Particularly when it comes to repetitive, detail-oriented tasks like analyzing ...
... large numbers of legal documents to ensure relevant fields are filled in properly, AI tools often complete jobs quickly and with relatively few errors.

This has helped fuel an explosion in efficiency and opened the door to entirely new business opportunities for some larger enterprises. Prior to the current wave of AI, it would have been hard to imagine using computer software to connect riders to taxis, but today Uber has become one of the largest companies in the world by doing just that. It utilizes sophisticated machine learning algorithms to predict when people are likely to need rides in certain areas, which helps proactively get drivers on the road before they're needed. As another example, Google has become one of the largest players for a range of online services by using machine learning to understand how people use their services and then improving them. In 2017, the company's CEO, Sundar Pichai, pronounced that Google would operate as an "AI first" company.

Today's largest and most successful enterprises have used AI to improve their operations and gain advantage on their competitors.

Advantages

Good at detail-oriented jobs;
Reduced time for data-heavy tasks;
Delivers consistent results; and
AI-powered virtual agents are always available.
Disadvantages

Expensive;
Requires deep technical expertise;
Limited supply of qualified workers to build AI tools;
Only knows what it's been shown; and
Lack of ability to generalize from one task to another.

Artificial Intelligence, referred to as AI has become an inseparable part of IT sector during recent times. The unparalleled efficiency and productivity that AI has brought to the different areas of human activity during the last decade is highly commendable. Artificial intelligence is the technique of enabling computers to think and work similar to humans. Machines supported by AI can solve complex problems and deliver results immediately without human assistance.

What are the 4 types of artificial intelligence?
Arend Hintze, an assistant professor of integrative biology and computer science and engineering at Michigan State University, explained in a 2016 article that AI can be categorized into four types, beginning with the task-specific intelligent systems in wide use today and progressing to sentient systems, which do not yet exist. The categories are as follows:

Type 1: Reactive machines. These AI systems have no memory and are task specific. An example is Deep Blue, the IBM chess program that beat Garry Kasparov in the 1990s. Deep Blue can identify pieces on the chessboard and make predictions, but because it has no memory, it cannot use past experiences to inform future ones.
Type 2: Limited memory. These AI systems have memory, so they can use past experiences to inform future decisions. Some of the decision-making functions in self-driving cars are designed this way.
Type 3: Theory of mind. Theory of mind is a psychology term. When applied to AI, it means that the system would have the social intelligence to understand emotions. This type of AI will be able to infer human intentions and predict behavior, a necessary skill for AI systems to become integral members of human teams.
Type 4: Self-awareness. In this category, AI systems have a sense of self, which gives them consciousness. Machines with self-awareness understand their own current state. This type of AI does not yet exist.

How Does AI helps Infrastructure Management?

AI has also made great advancements in the field of IT infrastructure service, which includes the maintenance of various computer network, hardware and software elements. It differs much from a software operated infrastructure in which the system functions as per the software programming. AI learns by itself the relationship between various elements of the infrastructure, identifies the context and data configurations, thereby finding ideal solutions for each minute issues in the network.

IT infrastructure support can achieve a great deal by embracing AI based technology. As it can function seamlessly without human interference, AI can be of great help for infrastructure management during these times of social distancing and lockdowns. Let’s discuss here a few areas of IT infrastructure management where AI technology can be highly beneficial.

Eliminate Cyber Threats

Every day, hundreds of businesses across the globe suffer from huge loss of sensitive data due to various cyber threats like malware and ransomware. Recent times have seen a sudden upsurge in cyber-attacks worldwide proving security measures inefficient.

AI makes it possible to identify potential threats at an early stage by studying patterns of network and devices. AI machines can spot unusual patterns very quickly and also have stronger immunity to overcome cyber threats. Thus, it allows businesses to stay safe and secure focusing more on the productive aspects.

Prevent System Failure

One of the common IT issues faced by businesses and organizations across nations is system crash due to varied reasons. It is humanly impossible to identify and eliminate all these issues at the initial stage. But, with artificial intelligence, you can easily recognize even minute issues in network, hardware or software much before humans do. Thus, businesses can perform the necessary IT infrastructure maintenance at an early stage, making it possible to deliver highly productive results.

Automated solution

AI can provide automated solutions for all infrastructure issues without the need for human involvement every time. The system automatically identifies possible failures or security threats and takes necessary actions to prevent such crash. This helps the organization to save much time and money and eliminates the need for unnecessary human interference.

Conclusion

Software experts are analyzing different possible solutions to reduce human interference and build automated systems, so that cost and time can be brought to a minimum. There are also debates on whether AI technology will replace humans completely. Although that may not be entirely possible, AI will surely have a big role to perform in various areas of services.

So, if you are looking forward to a hassle free IT infrastructure maintenance and management for your business, it is important to embrace AI technology at the earliest. DataWave is one of the leading companies providing IT infrastructure support in UAE using advanced technologies. Contact us for all your IT support and maintenance issues at reasonable cost.