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Artificial Intelligence

Infrastructure requirements for Artificial Intelligence




Infrastructure requirements for Artificial Intelligence

Over the years as AI is developing and reforming, various businesses and IT decision makers are making significant investment on technologies powered by AI. As artificial intelligence has the capability to change everything within the organization and refine the way people work, it is extremely important to gain the control over the macro and micro level of your business and organization. With the change of artificial intelligence is changing keeping an eye on the way your business functions become crucial, as every moment your changes are refined, and you have fresh requirements.

This is just a piloting and beginning phase of AI and the power and the impact are already felt around. As slowly the artificial intelligence would be moving forward, we are expected to see much greater and wider changes around.

What does AI require to improve?

As more and more people would experiment to improve the prospect of AI, there will be significant requirement for computing resources and infrastructure costs. When there is a tremendous impact of AI around us, there is a requirement to find a cost-effective environment to run the extensive processes. Every business needs to adapt to these changes and be flexible enough to welcome new infrastructure. The cloud technologies, particularly the hybrid cloud solutions would be the foundation base of artificial intelligence. Hybrid cloud solutions can ensure that infrastructure requirement of AI will be lieu to the business need and will be enough to sustain and match the technology. A business will provide the required infrastructure to allow the continuous use, development and implementation of artificial intelligence without compromising the outstanding performance.

Below are the factors that must be kept in mind while evaluating potential partners and to ensure choosing the best platform possible.

  1. High computing capacity

The organizations need high performance computing resources, including CPUs and GPUs to explore the possibilities of AI. As the experiments are still carried on in most of the organizations, they are building strong CPU-based environment to handle basic AI capacities. But currently the existing CPU-based computing might not be enough to handle the multiple large as per the requirement of deep learning process. To deploy scalable neural network algorithms and manage the high-performance networks and storage computing capacity and density of data handling need to improve.

  1. Storage capacity

The storage capacity is the fundamental requirement for any AI infrastructure; as has an ability to scale storage as the volume of data grows. But an organization needs to find out the level of storage system they would require planning their experiments with AI. Companies need to handle their expansion plan and manage the storage capacity to be able to make real-time decisions; as AI applications can help to make better decisions when they’re exposed to more data.

  1. Networking infrastructure

Seamless networking is an essential component of AI infrastructure. As scalability is of high priority, organization would require a high-bandwidth, low-latency network. Deep learning algorithms depend on communications, and as AI experiment progresses and expand, network system needs to keep pace. For this expansive service it is necessary to have an expert infrastructure provider who can handle the service wrap and technology globally and ensure that the stack is distributed and consistent in all place.

  1. Security

As AI is used to handle sensitive data in sectors such as healthcare, financial organizations and more, to securely maintain the personal data becomes a bigger challenge. These pieces of information are extremely vulnerable in nature; and if not managed well can be detrimental to any organization if exploited by unreliable sources. Alongside, if any unwanted and unnecessary data are added to the AI system, it would lead to incorrect decision and inference. Hence, a secured AI infrastructure is required to ensure that your data is protected.

  1. Cost-effective solutions

This is just the beginning of AI model development, as slowly the research work progress, AI would become more complex and the development costs will be extremely expensive. Every organization must work to find out the cost-effective solutions to continue with the process and growth. As the companies using AI, must continue with the growth, they have to depend largely on the improved network, servers, and storage infrastructures to enable the use of this technology. The whole process is extremely expensive. Therefore, they need to carefully choose the providers who can offer cost-effective dedicated servers. It would improve the opportunity of high performance and help the company to plan, decide and invest smartly in AI infrastructure.

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Artificial Intelligence

Artificial intelligence reshaping the medical sector for a healthier future




Medical sector is growing at a great speed with the solution of various diseases which were unknown till now. The development is maximum based on digital technology and is giving rise to huge amount of digital data and automated services too. Artificial intelligence was earlier discovered for several well-known digital platforms for simplifying their process and serve more effectively to their users without any manual assistance, such as recognizing images on social media platform and giving automated suggestions on search engine result page. Sooner this advancement made small steps towards medical industry and artificial intelligence within no time was deployed in the medical sector for various processes and the major part of medical stream which is sorted and made swift with the help of AI is disease diagnosis and treatment recommendations.

Use of artificial intelligence in medical industry:


On time diagnosis of a disease can give effective solutions for the disease and can be really helpful to avoid the life risk included with the disease. Artificial intelligence has given a prompt solution for this by automating the image analysis and diagnosis. This technology eradicates the probability of error to the least and gives most appropriate results in least possible time. With the present developments our doctors are enabled to give immediate reports of tumor detection, MRIs. And CTs. Future studies have been depicted that we will have effective cancer preventions too.

Drug discovery:

Artificial intelligence has a potential to determine new solutions using old available data and studies. There are a number of studies conducted for the drug and treatment development for various diseases but none has got all the studies together to find the best possible solution by counting all together. This miracle is possible with the use of artificial intelligence that brings all the available data together and brings out the best possible results out of it, such as a possible drug, equipment, and a type of treatment.

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Artificial Intelligence

Miracles of Artificial Intelligence in the Robotics Industry




Artificial intelligence and robotics are two distinct sectors but in the advancement of robotics there is a great role of AI. Well, Artificial Intelligence has worked at a great level for various sectors and has brought amazing transformations too. And when we talk about robotics, artificial intelligences act as the backbone for it. Now question might be how artificial intelligence can empower robotics? The answer you will get if you think which type of robot do you require? The one to which you need to feed command for every single ask, or the one which can grow itself, learn, and take decision required for the abased on the provided criteria. Thus, the impact of artificial intelligence on robotics is massive which is nowhere going to be slow down the pace of development. The major application of AI in robotics is to enhance the automation capabilities of various industries.

Few robotic capabilities that have been developed with the help of AI are listed below:

Sense and response:

Automation is being used in various business industries since several years but the traditional robots were bond to pick an object from a specified location and the further process to be followed as the predetermined data feed in the system. The robot was supposed to follow the same procedure till the object it is working for is known for the system. With the help of artificial intelligence, robots are now developed with the sensors and have a capability to identify objects and locations. It just needs details of the inputs to be processed and end result required by the machinery, the robot will set the process at its own by sensing the work environment without following any rigid procedure.


Mobility of a robot is no more a wonder for anyone as it is in practice since so many decades. With the help of artificial intelligence this mobility of robots has attained precession as never before. Even in complex and unpredicted work environment also these robots are now capable of giving the best and most precise outputs. AI has enhanced the existing robots to provide real time updates while travelling to the predetermined destination and also these bots are update to sense obstacles in advance and reroute by using its intelligence and reach the destination.

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Artificial Intelligence

Narrow Artificial Intelligence and its scopes

Artificial Intelligence proved that technology could imitate the human brain and actions. Narrow artificial Intelligence or narrow AI is a specific technology that it can imitate the human action to accomplish a task, which is narrowly defined. These actions, for example, include speech recognition and voice assistants. It would be good to know that narrow artificial intelligence has cognitive abilities and emphasize a single subset of this ability, where there is a further scope to make a few advancements in this area.




Narrow Artificial Intelligence and its scopes

An ability to adapt to machine and learning to a machine is Artificial Intelligence, as described in brief. But artificial intelligence is more than we know and perceived to be. There are 3 types of artificial intelligence.

Let’s look at the first type of AI and broaden our knowledge about narrow artificial intelligence:

Artificial Narrow Intelligence (ANI)

Artificial Intelligence proved that technology could imitate the human brain and actions. Narrow artificial Intelligence or narrow AI is a specific technology that it can imitate the human action to accomplish a task, which is narrowly defined. These actions, for example, include speech recognition and voice assistants. It would be good to know that narrow artificial intelligence has cognitive abilities and emphasize a single subset of this ability, where there is a further scope to make a few advancements in this area.

Tracing the history of AI, narrow artificial intelligence marks the beginning of the basics of artificial intelligence, later, which developed into something more refined and improved. Since the time the computer was invented until the present time, various technologies have been put together to make the human effort easier. It would not be unfair to say that computers have surpassed the human abilities of computing and quantifying tasks. As technology advanced and technologies like narrow artificial intelligence came into place, people’s perception has changed. Probably, we want to know and explore what more artificial intelligence can offer. With endless opportunities, there is no limit to improving artificial intelligence.

With endless limits, narrow artificial intelligence scope is wide. Whether you want to play complex games or want to make some important business decisions and want to complete some critical and useful business tasks, smart devices and computers powered by AI can help you achieve with ease. The technology artificial intelligence systems are evolving and becoming more improved day after day. Narrow artificial intelligence was easier to comprehend, but as human brains are much improvised to accomplish more complex tasks, artificial intelligence striving hard to achieve similar brilliance. Phenomena, like natural language processing advancements, come closer to humans’ ideas. It can replicate the human mind and actions in a much more general strong artificial intelligence model. Technologies like this allow computers to write effective news stories and fiction novels based on what exactly a human mind can think, conceive, and act.

To role it up, narrow artificial intelligence is a stream of intelligence that can perform a single task smartly and intellectually as it is programmed to do so. The basic concept of AI is to learn or be programmed about a single task with intelligence and perform efficiently and smartly with minor or no errors.

The examples of narrow artificial intelligence are:

  1. Speech recognition is the ability of a machine or program to detect related words or phrases in the spoken language and transform the same into a format readable and identified by machines. The fundamental speech recognition software has a stock of limited words and phrases in its vocabulary. It can only recognize what lies in its spectrum and only when it is spoken clearly. To efficiently perform certain actions, it exclusively relies on specific audible and liable voice commands. This type of intelligence is achieved by humanity.

  1. The voice assistant is a digital assistant. It helps and provides solutions or results to the users through phones and voice recognition applications. To perform the tasks, it uses voice recognition, natural language processing, and speech synthesis.

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