IBM Watson Analytics Interview Questions

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IBM Watson Analytics Quiz

If you're looking for IBM Watson Analytics Interview Questions for Experienced or Freshers, you are in right place. There are a lot of opportunities from many reputed companies in the world. According to research IBM Watson software market would be worth $26.78 billion by 2024.

So, You still have the opportunity to move ahead in your career in IBM Watson Analytics. Mindmajix offers Advanced IBM Watson Analytics Interview Questions 2024 that helps you in cracking your interview & acquire your dream career as an IBM Watson Analyst.

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Top IBM Watson Analytics Interview Questions and Answers 

1)  What is Watson Analytics?

It is a cloud and analytics-based service for the individuals in business to successfully solve the problems faced in business which they need to skip through each day. These difficulties include problems related to any tools or data, measuring difficulties and they might be lacking the skills. They might also be on the board like understanding the churn of the customer, able to analyze which employer might decide to leave, analyzing the loss of money by operations. There are many other things that can be measured but they are rarely predicted with any accuracy. And these include marketing, failures in the asset, and satisfaction of the customers. 

2) Mention the group which would be benefitted from Watson Analytics.

People who don’t have any expertise in the analysis are the ones who benefit the most from this. They might have very trivial problems from the organization’s point of view. Someone might have an interaction of data on the cloud. A person can access it because it is at the lesser end of the list of priorities. In that data of interaction one can view who has posted, the time duration, and the number of tweets that went up. This information can be thrown into Watson Analytics and get insights into information like what is the time during which it was posted and the amount of people reading it. So these are the people who benefit who might have analytic problems that are solvable by Watson Analytics but need not necessarily have access to the required resources. 

3) What else can be accomplished by the business through Watson Analytics?

This is to know what is the real problem and trying to know what exactly can be done about the dame. Trying to find out sales managers' data around the deals, the quantity of the deal is the deal old or new, people working on that deal, etc. On the spreadsheets, there are many variables and the results can either be a win or loss in the deal. So Watson Analytics can take these deals and predict if they are going to be a win or loss. So action can be taken beforehand and this can be helpful for changing the outcome. It also helps in showing the effect of the downside of any decisions.

4) Role of cloud in Watson Analytics.

When using new technology or app most people expect to use all of it almost immediately without any guide or manual to go through. Cloud is that which brings to the user new features without any waiting period or date. It can be implemented almost immediately and the users can help with the testing which can enable in the development of newer features. It’s a huge advantage to both the users as well as the makers. It is also helpful in studying the using pattern of the people. It can be useful in studying the features which are favored by the people and the ones which they aren’t using much. These things can be taken and molded to make it better for the usage of the people. 

5) Mention one of the most important features in the journey of Watson Analytics.

There are various processes like accessing the data, preparation, analyzing it, refining it, and many such processes. Watson Analytics is the one that unifies all of it. This is done by very innovative methods of automation and allowing people to do all of this at their own will. It works on an interaction that is language-like. It bridges the gap between the understanding of humans and the advanced methods of computing. It moves matter from discovering to knowing about what is most important and is essential. 

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6)  Name some of the organizations which are using IBM Watson Analytics.

 Paschall Truck Lines, Mears Groups, Minter Ellison, Caliber Patient Care are the names of some of the organizations which are using the Watson Analysis. 

7) How do you think this has benefitted them?

It gas helped them with their patterns of hiring, it has helped with the development of health strategies and safety, identifying the profitable companies and redirecting the resources accordingly, helping the companies with the policies, determining the performances of people in the company, helps in studying the sales of the company and their practices, helping them making a real-time adjustment in their campaigns of marketing. These are some of the ways in which the organizations have been helped and benefitted with the use of Watson Analytics. 

8) How is it useful in terms of Social Media?

The IBM Watson Analytics is useful when it comes to social media. It is helpful in guiding the individual by giving them the usage of social networking and create a visualization of the data on its own which is insightful and all of this happens on the cloud. A person gets relevant and reliable content on any topic and this gives the user the patterns and their relationships. It is useful in collecting the audience's preference and gain insight into the market and also a comparison of data with other sources which gives information from different perspectives. 

9) Who developed IBM Watson Analytics?

It was developed by David Ferucci along with a research team that was lead by him. 

10)Why was it developed?

It was initially developed for answering the questions on Jeopardy which was a quiz show and it was specifically designed for that. And it acquires the price money by competing with the previous winners. 

Its first commercial use was in the year 2013 in the month of February. It was first used for utilizing management-related decisions in the treatment of lung cancer at a Center in New York along with an insurance company. This was the first use of IBM Watson software. 

11) What is the source of information for Watson?

It obtains information from different sources which include newswire, dictionaries, thesaurus, literary work. it also makes use of taxonomies, ontologies, and databases. It used WrodNet, Yago, DBPedia. Various documents, references, and encyclopedias were used to build upon the knowledge. 

12) How is it beneficial for the business?

It is a service of visualization and analysis of data used to discover the meaning and patterns in the data quickly in your own way. One can get an answer they understand with the guided way to discover the data and its automatic prediction of analysis and the use of natural language. It's about spotting data and a trend quickly and visualizing the data quickly on the dashboard. 

13) Who was it named after?

It was named after Thomas. J. Watson was the founder of IBM. 

14)What does and can Watson do?

It merges artificial intelligence and sophisticated software for the utmost performance as a machine for answering questions. 

15) What is the cost of IBM Watson?

It would be somewhere around a few million with an approximate value of 3 million dollars. 

16)What do you mean by cognitive solutions?

It is a method of simulating human thought processes in a computer. It includes using data mining, processing of data language, pattern recognition for mimicking the work of a human brain. It involves the system of self-learning. 

17) What is cognitive technology?

Cognitive technology is the product of artificial intelligence. Now, these products can conduct tasks that could initially be performed only by human beings. 

18) Give examples of cognitive technologies?

Some of the examples of cognitive technologies are machine learning, speech recognition, computer vision, robotics, and language processing. These are some of the many such products of cognitive technology. 

19) What can be said about cognitive automation?

There’s a lot of work done in terms of artificial intelligence and automation processes in robotics and there are many more capabilities that are emerging. This cognitive automation is useful to enhance and emulate the strengths that the human mind has. 

20) What is cognitive analysis?

It is a terminology which is a description of the application of analytics and technologies of cognitive computing by the organizations which helps the human make smarter, quicker, and effective decisions. 

21)What are certain features of Watson Analytics?

It provides a programmed list of terms and context related to the topic which strengthens the analysis and improves it. It also breaks the topics into different metrics which helps in analyzing the topic in a better way. It helps in understanding the shades of social media automatically. With the help of technical and advanced knowledge and training, audience insight can be gained. One can obtain answers in a language one can understand. Guides a person to appropriate conclusions effectively and quickly. It also helps to move beyond a programmed sentiment. 

22) Are there any software or hardware requirements?

There are not any hardware or software requirements for the social media use of IBM Watson Analytics. 

23)  What are some of the technical details required?

Some of the browsers which support it are Mozilla Firefox, ESR, Google Chrome, Microsoft Explorer, Apple Safari. So the user needs to have a device workstation or a mobile that can run the web browsers which support it. 

24) What do you mean by cognitive artificial intelligence?

It is one subdivision of artificial intelligence that deals with behaviors that are cognitive that is which are related to thinking and has not much to do with motor control or perception. 

25) What are some of the advantages of IBM Watson Analytics?

Some of the advantages of IBM Watson Analytics are as follows: it is known to process data that is unstructured, it fills in any limitations by the human and also has minimal errors as opposed to humans, it is like a support for making a decision and it does not act as a replacement for human in any way. It is known to improve the performance and it also improves the abilities by providing the data which is available at its best. It transforms as well as improves the services which are provided to the customers. It can handle a huge amount of data. It can at one point accumulate and posse a large amount of data with it. It is known to have competitive sustainable advantages. 

26)  What are some of the disadvantages of IBM Watson Analytics.

Some of the disadvantages of IBM Watson Analytics are as follows:

It is available only in one language which is English because of this the area of usage becomes limited. It is known to be seen as a technology that is disruptive. It takes a lot of time and money for its maintenance. One limitation is that it cannot directly process the data which is structured. It increases the rate of the data but it does it only with the help of limited use of resources. 

27) What are certain barriers to the adoption of IBM Watson Analytics?

The barriers to the adoption of IBM Watson Analytics is as follows:

The cost of switching is apparently very high in IBM Watson. It requires a lot of time for the integration of Watson and the services provided by it in a company or an organization. It usually focuses its target on the bigger companies and organizations that they think can afford to take the Watson. It also requires a lot of time and an equal amount of effort in order to teach the use of Watson if it needs to be taught to its optimal potential. 

28)  What is the future use of IBM Watson?

IBM is known to have announced the inauguration of a new unit of the business that would look after the development and commercialize cognitive advisories that will be delivered by the cloud. 

29) In what sectors can IBM Watson be applied?

It can be applied in various sectors which include Cognitive applications, healthcare, information technology, travel, retail, government, etc. These are only some of the areas and they can be applied in many such areas. 

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Last updated: 04 Jan 2024
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Ravindra Savaram is a Technical Lead at His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.

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