Why Cognitive Computing Is In Trend For Those Who Are About To Integrate Chatbot
Since the invention of computers, AI hasn’t played a significant role in Computing. But, with the modern era of Cognitive Computing, this fact might change.
If you analyze the Human Brain, then it has lots of capabilities. It can work even faster than any damn software. Many experts believe that AI & Human partnership can be a deadly combination.
Human working with AI algorithm can be a delicious recipe. It can produce better results than an AI algorithm standalone.
Here’s an example of how AI & human can work together:
There is a reason why this combo is the best. If you bring a human into play, it will add context & common sense. On another hand, AI will work on accuracy.
So, together this can seal the deal for most of your problems.
Cognitive Computing Tools focuses on exhibiting human behavior via an electronic model. For making this happen, you need three basic things – Design, Language Handling & A PC. PCs are agile at computations compared to people.
It can’t handle two significant things:
- Knowing Common Language
- Extracting Items For Picture
Many people say that Cognitive Technologies are the third era of Computing. In the first era, the concept of programmable computer came into play.
In the second era, there was an invention of digital computers. After all that, Cognitive Computing came into the picture.
Now, analyze various Cognitive Computing Examples. You will find out that it takes its basis on Deep Learning & big data.
So, you can say that the Neural Network is the fundamental thing in Cognitive Computing.
What Do You Mean By Cognitive Computing?
As you know, Human Thinking can’t have any limits. Now, think if we can develop a computer that can exhibit human behavior?
People of IBM Watson are working it. The concept called Cognitive Computing by IBM Watson researchers.
Cognitive Computing by IBM is a combination of two major things:
(a) Cognitive Science & (b) Computer Science.
The technical definition of Cognitive Computing is as below:
“Cognitive Computing is a self-learning system that makes use of machine learning models. These models exhibit behavior like a human brain.”
In other words, Cognitive Computing is about crafting a technology. This technology will process large datasets to solve complex queries.
Cognitive Computing makes use of AI & Machine Learning. By doing this, it helps computers to know data & insights and use them to improve user experience.
With the help of Cognitive Computing, one can bring AI into computers. You can say that Cognitive Computing computers more intelligent & proactive.
Now, there are a lot of people who mix AI with Cognitive Computing. But in reality, both terms are different.
While AI deals with exhibiting human behavior, Cognitive Computing mimics human thinking.
You can search for Cognitive Computing vs. AI to know more about it. Many people think Cognitive Computing & Machine Learning are the same.
But, if you search for Cognitive Computing vs. Machine Learning, you will get the right answer.
Machine Learning is all about detecting patterns based on mathematical models. On another hand, Cognitive Computing focuses on making computers human-friendly.
Cognitive Computing Framework
The Cognitive Computing Framework provides various combinations. These combinations are of data, impact, setting, and knowledge.
With the help of this framework, you can make all the calculations. The framework makes use of a model to reclassify two significant things:
- The idea to connect among various persons
- The inescapable computer condition
Desirable Features Of Cognitive Computing Framework
It is the first & most desirable feature for an ethical framework. You can create a Machine Learning based cognitive system with this feature.
The solution should be able to adapt to the capability of the human brain. It also needs to be dynamic for data gathering & requirements.
Like a human brain, the solutions should be interactive. Be it a cloud service, user or processer; it should be able to interact with them. The focus should be on bi-directional interaction.
The system should know human input. For that purpose, it should make use of Natural Language Processing (NLP).
Many people are using Artificial Intelligence Chatbot for making this happen. So, you can also think about this option.
Iterative & Stateful
The system should memorize previous interactions. Based on that survey, it can provide accurate information. In addition to that, the system should also offer the problem statement.
One should always make sure that the system gets all the data & information. All this information should be from reliable sources.
The system should be able to know & discover contextual elements. It can be time, location, meaning, syntax, goal, task, etc.
For that purpose, structured & unstructured data comes into play.
Scope Of Cognitive Computing
As per the survey carried out by IBM, there can be three major scopes of Cognitive Computing.
Any cognitive system comprises structured & unstructured data. It can provide expert assistance. With the help of this system, one can build models.
These models help you to establish a contextual relationship. The system can create an engagement with humans.
Chatbot Technology is one of the best examples of engagement model. There are many AI Powered Chatbots trained with domain knowledge for a specific purpose.
For knowing more about this subject, you can contact any Chatbot Maker. He/She will be able to guide you with its knowledge & experience.
Any Cognitive Computing system has decision making power. All these decisions take their basis on outcome & actions. Autonomous Decision Making is the need of the art.
IBM Watson can be a perfect example of it. The tool collects the data & then, analyze it. Based on that, it can provide an accurate conclusion. It aids to successful decision making.
It is the advance level scope for Cognitive Computing. This stage deals with collecting various insights. For achieving this, we make use of Machine Learning algorithms.
With the exponential increase in data, there’s a need for a system. Cognitive Information Management (CIM) can be one of your solutions.
Building Blocks Of Cognitive Computing
There are three main building blocks of Cognitive Computing:
- Big Data Analytics
- Machine Learning
- Cloud Computing
Big Data Analytics
The human brain can process a vast amount of information. Understanding the context of any question is vital. For machines, you can make it happen by feeding data.
There can be two types of data – Organized & Unorganized. So, for processing this vast data, the role of Big Data Analytics comes into play.
Machine Learning is about making use of algorithms. The purpose of this algorithm is to analyze data & predict the trends. Generally, there is a training data set for feeding information.
You need to test this data on various data sets for knowing efficiency. For Cognitive Computing, self-learning feature is essential. That’s where Machine Learning comes into play.
If you want to process massive data, you will require high computing power. In Cognitive Computing, the demand keeps on changing. Therefore, scalability is a huge factor.
That’s where Cloud Computing can be your best bet. It provides you with scalable resources. This type of scenario suits well for Cognitive Computing.
Applications Of Cognitive Computing
Chatbots are computer programs that can simulate human behavior. For this purpose, it uses the concept of Natural Language Processing (NLP).
With the help of NLP, you can take input from a human. Cognitive Computing can make Chatbots more intellectual. It can understand the context & provide the answer.
Sentiment Analysis deals with knowing various emotions. For a human, this thing comes naturally. But, for the machine, you need to provide training data of conversations.
You can mostly use Sentiment Analysis for dissecting social media conversation. You can analyze Likes, Tweets, Comments, Reply, etc. quickly.
Face Detection is the upper level of Image Processing. Any cognitive system uses contours, eye colors, etc. to detect a face. After generating a facial image, one can identify the face.
Generally, Face Detection was for 2D images. But, now you can also perform it for 3D models. Mostly Face Detection is useful in any security system.
Risk Management is about analyzing current trends to predict the risks. This analysis involves data, behavior, instincts, etc. It’s a combination of art and science.
Cognitive Computing assists you to gather data & trends. Based on this integration, it can generate valuable insights. You can contact any analyst for further details.
Fraud Detection detects abnormal transactions. For that purpose, you need to study historical data. That’s where Cognitive Computing can play a significant role.
Top Players In Cognitive Computing
There are three leading players in the field of Cognitive Computing:
- IBM Watson
- Microsoft Cognitive Services
- Google DeepMind
IBM is one of the top most companies in Cognitive Computing. IBM Watson was a supercomputer that uses AI & analysis tool.
Right now, it takes basis on NLP, Machine Learning, Text Analysis & Virtual Assistants. It also uses Deep Learning & real-time analysis to improve decision making.
Microsoft Cognitive Services
It is a set of APIs, SDKs & Machine Learning framework. Developers make use of it for making the app for more intellectual. Now, creating a smart app is a lot of fun.!
Sentiment Analysis, Speech Recognition, Contextual Analysis, etc. are new market trends. That’s where Microsoft Cognitive Services play a vital role.
Google has always been at the forefront of every innovation. It acquired DeepMind in 2014. Now, DeepMind is a global leader in AI & Machine Learning.
Google has made a constant effort to make AI accessible. The same applies to the case of Cognitive Computing. Google DeepMind is going to be a force in the future.
Future Of Cognitive Computing
With recent advancement in technology, Cognitive Computing can change the development scenario. Right from process to solutions to services, there will be a massive difference.
As per the study by IBM Institute For Business Value, companies have known the importance of Cognitive Computing. They know that the future belongs to this technology.
Plenty of companies have started to take actions in this regard. With the help of Cognitive Computing, there’s a chance of getting better business output.
Many experts believe that 2019 is going to be a big year for Cognitive Computing. According to a research, Cognitive Computing market is expected to grow at a CAGR of 34.2%.
IBM Watson is also working on Cognitive Computing. You can connect it with any service setting with ease. It can find a pattern from a vast amount of data.
As per IBM’s study, 88% of the top performers believe Cognitive Computing will play a significant role in the firm’s growth. 46% of outperforms have already adopted this technology.
From the above statistics, it’s clear that the future of Cognitive Computing is very bright. So, organizations should start working on this aspect as soon as possible.
How Can We Use Cognitive Computing?
IBM Watson was one of the first members to adopt Cognitive Computing technology. So, you will be able to understand the use of Cognitive Computing with this tool.
With IBM Watson, you’re able to access 200 million pages and 90+ servers.
Nowadays IBM is using Watson for the social insurance industry. With the help of Watson, IBM can collect all the information.
The results of Watson depends on three major factors:
- Real-Time Data
- Human Instincts
In addition to that, you can also use Watson for the healthcare industry. It can collect information about the patient’s health. Based on that, doctors can make the correct decision instantly.
The goal of IBM Watson is not to replace the doctor. It aids in the capabilities of medical science. This process is beneficial when you have a large amount of data.
Cognitive Computing can be suitable for fields like finance, education & law. In addition to that, one can also use this technology in various other areas.
Customer support, shopping bots, travel agents, security systems, etc. are also using Cognitive Computing to their advantage.
In the near future, you will also see the Digital Assistants moving to the Cognitive Computing platforms. So, start working on this aspect.
Reasons To Opt For Business Bot
There are many reasons to opt for business bot. In this section, we’re going to discuss you some of the major ones. So, let’s start the show, right now.!
Bots Can Manage Business Issues
Many organizations have to perform repetitive tasks. They are as listed below:
- Keeping a note of high volume queries
- Investigating various structures
- Presenting recorded information
- Making admin arrangements
For these tasks, Chatbot can be a perfect solution. It can help you decrease the required resources. At the same time, it could also increase business productivity. In addition to that, Business Bot can also handle customer inquiries.
There are many areas where Chatbots have made a massive impact. Some of them are as listed below:
(A) Social Insurance
Many hospitals are making use of Chatbot. With the help of it, they can:
- Get reports about systems
- Helping patients in appointments
- Manage the waiting times
- Answer patients’ query
- Give information regarding medicine
(B) Advanced Education
Chatbot in Education plays a key role. For advanced education, the Chatbots can help you to:
- Generate student’s transcript
- Take student’s application
- Manage administrative work
- Answer the query regarding school
- Provide the necessary information
Many schools, colleges & universities have already implemented this thing on their website. In the next few years, it will become a norm for educational sites.
(C) Banking & Finance
Chatbots can also help you in the banking & finance sector. It can help the client to:
- Know account details
- Know credit scores
- Know the latest offers
- Know custom proposals
Chatbots Give AI The Necessary Boost
With the help of Chatbots, AI can get the necessary boost. National Institute of Advanced Industrial Science and Technology (AIST) have made improvements in AI.
Chatbots have played a significant role in this improvement. You can say that Chatbots have made AI fashionable. Nowadays people are loving Chatbots. So, indirectly AI is getting the boost.
Many big players have supported bot solutions. Due to that, Chatbots have emerged as one of the top inventions. So, if you have not worked on this technology, start doing it right now.!
Chatbots Promotes Innovation & Latest Technology
Nowadays the buzz question for a developer is, How To Build AI Chatbot? Building a chatbot is not that easy. To Build A Bot, you need to know all its fundamentals.
One of the reasons for the popularity of Chatbot is that it gives you the chance of innovation. The scope of Chatbots is vast. You can use it in any area. So, it has become a global leader.
If you’re beginner, then you can start working on Botbuilder landing page. One can find details on MS virtual assistant & GitHub.
The 21st century belongs to the latest technology innovations. We have seen plenty of trending technology emerge and take a giant stride.
Cloud Computing, Machine Learning & Artificial Intelligence have already made their mark. With this base, Chatbots are also on the horizon of greatness.
Now, the technology that is booming right now is Cognitive Computing. It has given a whole new dimension to the world of technology.
In this blog, we have provided you with an in-depth guide on Cognitive Computing. We have also focused on how it can be a huge factor in Bot Development.
If you’ve any questions or suggestions related to this blog, then feel free to ask them in our comment section.
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