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What is Cognitive Cloud Computing? Features and Scope

As we can see world-changing very rapidly and many things develop and many more inventions come day by day. In this one of the arising modern technology is Cognitive Cloud Computing.

Human thinking is beyond imagination this result that Artificial Intelligence takes place everywhere and with the development of the technology Artificial Intelligence gets a huge look.

Cognitive Cloud Computing | Futureyan

The purpose of Cognitive Computing is the creation of a computing framework that can solve problems without constant human intervention.

What is Cognitive Cloud Computing?

Cognitive Computing defines as machine systems that can mimic human understanding of the environment, bringing an immense level of contextualization and Intelligence to business processes.

The primary goal of COC is to simulate humans through processed in a computerized model. We can say that this technology will facilitate the creation of automated IT models that are capable to solve problems without constant human involvement.

Cognitive Computing uses Artificial Intelligence and Machine learning to enable computers to understand data and use them as a learning experience in the future.

Cognitive Cloud Computing | Futureyan

With the rise of the time Internet of Things(IoT) is developing rapidly and its focus on research in smart cities, especially on a surveillance tracking system in which computing devices are widely distributed and a huge amount of dynamic real-time data collected and processed.

Cognitive Computing want real-time data collected to use as a learning of there self and perform their work accordingly.

Cognitive Cloud Computing Consortium has the following features for the Computing System:

1. Adaptive:

It adopts the new information from surrounding and should mimic the ability of the human brain to learn from its surroundings.

In other words, we can say, the system must be able to digest dynamic data in real-time and make adjustments to the data as environmental change.

2. Interactive:

Cognitive Computing makes it work like a brain so it works similarly to the brain the Cognitive solution must interact with all elements in the system devices, processes, and cloud services.

Interactive | Futureyan | Cognitive Cloud Computing

Cognitive Computing should understand human input and provides relevant results using natural language processing.

Human-computer interaction(HCI) is a critical component in the cognitive system by which computers learn or make adjustments faster and a system able to interact with users.

3.Iterative and Stateful:

Cognitive Computing technologies can also identify problems by asking questions and finding additional sources of information if a problem is incomplete.

The systems should do maintaining information also in similar situations that have previously occurred.

4. Contextual:

Understanding and extracts contextual elements such as meaning, time, location, process, and other multiple sources of information. It also including structured and unstructured data and visual, auditory, or sensor data.

How Cognitive Cloud Computing beneficial for Use:

Today Cognitive Cloud Computing applications are used in industries. Using a computer system to solves the types of problems that humans are typically tasked with the required amount of structured and unstructured data.

Cognitive Computing is a different field collectively where it serves as an assistant rather than the one finishing the task. With the rising technology it makes businesses create a proper response to uncontrollable factors, simultaneously it helps to generate leads in business processes.

Cognitive Cloud Computing beneficial | FutureYan

By adopting Cognitive Cloud Computing enterprises can obtain many benefits that can assist them to accelerate business growth and generate high revenue.

Optimize Resources Utilization:

Companies spend a huge amount on cognitive-ready infrastructure with they do not need to do longer. Cognitive Cloud Computing can be used the same as when required.

Less Human Interaction:

Less human means less chance to mistake and error which is done by humans it starts reducing. It covers by Cognitive Cloud Computing because they learn through the surrounding information.

Accelerate Projects:

The overlong planning, investments, and set up period is replaced by a ready to deploy solution and some of the cloud vendors offer customizable default Artificial Intelligence models.

Increased customer experience:

As IBM did an overview 49% of organizations help to improve consumer engagement and service. It causes organizations to improve consumer experience by enabling cognitive applications. Consumers feel safe and satisfy through this Cognitive Cloud Computing technology.


There are 3 capabilities are related to ways people think and demonstrate their cognitive abilities in everyday life.

1. Engagement 2. Discovery 3. Decision

1. Engagement:

The cognitive systems have wide repositories of structured and unstructured data. Cognitive Computing has the power to develop deep domain insights and supply expert assistance. The models build by these systems include the contextual relationships between various entities during a system’s world that enable it to make hypotheses and arguments. This is self-contradictory data. Thus these systems are ready to engage in deep dialogue with humans.


2. Discovery:

Discovery involves finding insights and understanding a large amount of data and developing skills. These models are built for deep learning and unsupervised machine learning. With increasing volumes of knowledge, there’s a transparent need for systems that help exploit information more effectively than humans could on their own.

3. Decision:

Apart from anything, they have decision-making capabilities. Decisions made by cognitive systems continually evolve supported new information, outcomes, and actions. Autonomous decisions depend on the power to trace why the actual decision was made and change the confidence score of a system’s response and These systems are generated for using reinforcement learning.

Limitation of Cognitive Computing:

1. Security:

When talking about digital work first image come in the mind related to security. With the potential to handle a larger amount of knowledge and analyze an equivalent, cognitive computing features a significant challenge concerning data security and encryption.

Limitation of Cognitive Computing | Futureyan

2. Meticulous training process:

Cognitive Computing systems need a meticulous training data process. The laborious process of coaching cognitive systems is most likely the reason for its slow adoption. About more, the complex and expensive process of using cognitive systems makes it even worse.

Initially, the cognitive computing systems need training data to completely understand the process and improve.

3. New ways of Management:

New ways of management is another crucial challenge that cognitive computing will have to overcome. People are resistant to implement something new because of their natural human behavior and as cognitive computing has the power to learn like humans, people are fearful that machines can replace humans someday.

Cognitive technology generates to work in sync with humans. Human beings will nurture the technology by feeding information into the systems and make this technology more thinkable. This makes it a suitable example of a human-machine interaction that people will have to accept.

4.More intelligence augmentation rather than artificial intelligence:

Cognitive cloud computing is the next step in computing started by automation. It sets a benchmark for computing systems to reach the level of the human brain with that it has some limitations which make AI difficult to apply in situations with a high level of uncertainty, rapid change, or creative demands.

Cognitive computing systems are most effective as assistants which are more like intelligence augmentation instead of artificial intelligence. This technology supplements human thinking and analysis but depends on humans to take the critical decisions.

Some Questions Related to Cognitive Cloud Computing.

Q1. How Cognitive Computing different from AI? OR Is Cognitive Computing same as AI?

In simple terms, Cognitive computing is a subfield of AI and it refers to computing that focuses on reasoning and understanding at a higher level. The term cognitive computing is used to describe AI systems that aim to simulate human thought.

AI and Cognitive Computing | Fuutureyan

AI focus on algorithms to solve a problem or to identify patterns hidden in data, cognitive computing systems have the goal of creating algorithms that mimic the human brain’s reasoning process to solve an array of problems as the data.

Q2. What does cognitive computing involve?

Cognitive computing describes a technical platform that combines the below features

  • learning
  • reasoning
  • human-computer interaction
  • speech
  • vision
  • natural language processing

Q3.Who are the best Cognitive Cloud Computing Companies?

  1. Sparkcognition
  2. Expert System
  3. Microsoft cognitive services
  4. IBM Watson
  5. Numenta
  6. Deepmind

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