IBM Watson Analytics Interview Questions [FREQUENTLY ASK]

Last updated on 12th Nov 2021, Blog, Interview Questions

You can get a career based on these IBM Watson media interview questions that were created based on the analysis and survey of the company. The first question in our mind is How to crack the IBM Watson media interview processed. These IBM Watson media interview questions will give sufficient help to crack an interview. It gives the top direction to crack an interview in less time, as most of the organizations have asked similar questions, which is based on their past interviews and their business processes. Moreover, it will be enough to improve your information about the background and current position of the company. In addition to that IBM Watson, media interview questions are asked to set our mind that will improve your confidence level as well. You need to read these interview questions to get victory in your interview.

1. What is Watson Analytics?

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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?

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

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

4. How do you think this has benefitted them?

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It has 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 benefited with the use of Watson Analytics.

5. Who developed IBM Watson Analytics?

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

6. Why was it developed?

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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 prize money by competing with the previous winners.

7. What Was Its First Commercial Use?

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Its first commercial use was in the year of 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.

8. What are some of the advantages and disadvantages of IBM Watson Analytics?

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ADVANTAGES	DISADVANTAGE
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 available only in one language which is English because of this the area of usage becomes limited.
can handle a huge amount of data. It can at one point accumulate and possess a large amount of data with it.	One limitation is that it cannot directly process the data which is structured.

9. How is it beneficial for the business?

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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.

10. Who was it named after?

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

11. What does and can Watson do?

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

12. What is the cost of IBM Watson?

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

13. What do you mean by cognitive solutions?

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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.

14. What is the difference between data federation and data virtualization?

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Data virtualization	Data federation
Data virtualization is an interface that provides a single point of access to data that hides its distributed and heterogeneous storage details.	Data federation is a virtual database that provides a common data model and access point for distributed and heterogeneous data sources.

15. Give examples of cognitive technologies?

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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.

16. What can be said about cognitive automation?

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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.

17. What is cognitive analysis?

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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

18. What is the structure of IBM Watson architecture components?

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19. What are some of the technical details required?

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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.

20. What do you mean by cognitive artificial intelligence?

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

21. What is the source of information for Watson?

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

22. What is the future use of IBM Watson?

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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.

23. In what sectors can IBM Watson be applied?

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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.

24. Mention the difference between statistical AI and Classical AI?

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Statistical AI	Classical AI
Statistical AI is more concerned with “inductive” thought like given a set of patterns, inducting the trend etc.	classical AI, on the other hand, is more concerned with “ deductive” thought given as a set of constraints, deduce a conclusion etc.

25. What is the IBM Watson workspace?

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IBM Watson Workspace is a collaboration application with the built-in power of Watson. It’s designed to help teams do their best work.

26. What is IBM Watson Language Translator?

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IBM Watson Language Translator is a service that provides domain-specific translation utilizing Statistical Machine Translation techniques, it offers multiple domain-specific translation models, plus three levels of self-service customization for text with very specific language.

27. What is Watson natural language classifier?

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The IBM Watson Natural Language Classifier service applies deep learning techniques to make predictions about the best predefined classes for short sentences or phrases.

28. What is Watson Discovery Service?

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Watson Discovery is an award-winning AI-powered intelligent search and text-analytics platform that eliminates data silos and retrieves information buried inside enterprise data.

29. What is OpenScale?

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IBM Watson OpenScale is an open, enterprise-grade platform that enables businesses to build, operate, and manage production AI. Features include measurement and tracking of AI outcomes, continuous feedback loops, intelligent bias detection and correction, actionable metrics, and more.

30. What is Watson assistant?

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Watson Assistant lets you build conversational interfaces into any application, device, or channel. Add a natural language interface to your application to automate interactions with your end users. Common applications include virtual agents and chatbots that can integrate and communicate on any channel or device.

31. Mention the difference between breadth-first search and best-first search in artificial intelligence?

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Breadth- first	Best- first
While in breadth-first search a node is expanded in accordance with the cost function of the parent node.	In the best first search, we expand the nodes in accordance with the evaluation function.

32. What is What is Configuration storage?

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The microservices in the language understanding pipeline use Etcd to store some configuration values.

Each microservice has its own path in Etcd. Other metadata about models, such as the instance in which a model is loaded, is stored under different keys under the Etcd path.

• NLU /bluegoat/voyager-nlu/voyager-nlu-slot-${release-name}
• Master /bluegoat/bluegoat-master/voyager-master-slot-${release-name}
• TAS /bluegoat/tas-runtime/tas-runtime-slot-${release-name}
• ED-MM /bluegoat/tas-runtime/${release-name}-ed-mm/

33. What is the format of the documents that you can upload to Watson discovery?

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You can upload data in the following document formats: Word, PDF, HTML, and JSON documents. Data input can also be in binary format; this makes it easier to upload PDF and Word documents containing rich media content.

34. How does IBM Watson work?

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IBM Watson is a machine learning system, trained primarily by data as opposed to rules. … Watson can sift through unstructured data, such as Wikipedia and newswires, as well as structured databases and data. After it generates potential answers, Watson gathers additional evidence.

35. What is IBM Watson visual recognition?

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What is Watson Visual Recognition? The IBM Watson™ Visual Recognition service uses deep learning algorithms to analyze images for scenes, objects, faces, and other content.

36. Difference between Model accuracy or Model Performance?

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Model accuracy	Model performance
It has everything to do with how model accuracy was only a subset of model performance & at that, sometimes misleading one.	Your Machine Learning model performance & often look towards details. There are models with higher accuracy that can perform worse in predictive power as well.

37. Is IBM Watson the best AI?

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IBM Watson. IBM is one of the best AI engines because of Watson. It comes powered by modern innovation in machine learning to allow the models to learn more with less data. Developers can choose to build new models from scratch or use Watson APIs and pre-trained solutions to power existing applications.

38. What are two ways Watson natural language understanding can be used?

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There are various use cases for Watson Natural Language Understanding. These include advertising optimization, content recommendation, voice-of-customer analysis, audience segmentation, data mining, and more. NLU allows for the extraction of insights from unstructured data.

39. What is Watson Natural Language Classifier?

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Natural Language Classifier returns the best matching classes for a sentence or phrase. For example, you submit a question and it returns keys to the best matching answers or next actions for your app.

40. What type of content Can Watson use to infer personality insights?

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According to IBM’s website, the tool “uses linguistic analytics to infer individuals’ intrinsic personality characteristics, including Big Five [or O.C.E.A.N], Needs, and Values, from digital communications such as email, text messages, tweets, and forum posts.” In addition, Personality Insights shows your consumption

41. Differentiate between parametric and non-parametric models?

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Parametric models	Non parametric models
A finite number of parameters to predict new data	Unbounded number of parameters
Logistic regression, linear discriminant analysis, perceptron, and Naive Bayes	K-nearest neighbors, decision trees like CART and C4.5, and support vector machines

42. What is the reason why Watson was built?

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Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering

43. Which statement best describes the primary use for Watson knowledge catalog?

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Watson Knowledge Catalog helps business users quickly discover, curate, categorize and share data assets, data sets, analytical models and their relationships with other members of your organization.

44. Describe the IBM Watson Studio Architecture?

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45. Why is IBM Watson important?

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Simplified Analysis: IBM Watson helps to quickly understand what your data wants to convey to you by using automation. Automation does all the hard work so that you can spend less time analyzing your data using new and unexpected insights to your business.

46. Differentiate between supervised, unsupervised?

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Supervised	Unsupervised
The training set has both predictors and predictions.	The training set has only predictors.
Image recognition, speech recognition, forecasting, etc.	Preprocessing data, pre-training supervised learning algorithms, etc

47. How many processors does Watson have?

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2880 processor cores

Watson runs on a cluster of Power 750™ computers—ten racks holding 90 servers, for a total of 2880 processor cores running DeepQA software and storage. It can hold the equivalent of about one million books worth of information.

48. How many countries is IBM in?

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IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue.

49. What is IBM data virtualization?

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Data Virtualization integrates data sources across multiple types and locations and turns it into one logical data view. This virtual data lake makes the job of getting value out of your data easy.

50. What is unique about IBM Watson?

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Unlike typical computers, Watson can unlock the vast world of unstructured data that makes up as much as 80 percent of existing information today. Watson knows that all data is not created equal. It’s able to distinguish between different kinds of information.

51. What are certain barriers to the adoption of IBM Watson Analytics?

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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.

52. What are the main benefits of using auto AI in IBM Watson Studio?

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• Intelligent automation empowers everyone
• Speed AI lifecycle management. Automatically build machine learning and AI models without deep data science expertise.
• Accelerate machine learning implementation. Build custom AI and machine learning models in minutes or even seconds.
• Implement trustworthy AI.

53. Is IBM Watson artificial intelligence?

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IBM Watson is AI for business. Watson helps organizations predict future outcomes, automate complex processes, and optimize employees’ time.

54. What are the main goals of AI?

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The basic objective of AI (also called heuristic programming, machine intelligence, or the simulation of cognitive behavior) is to enable computers to perform such intellectual tasks as decision making, problem solving, perception, understanding human communication (in any language, and translation among them).

55. What is cognitive technology?

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

56. Are there any software or hardware requirements?

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

57. Which of the following features is available with Watson discovery service out of the box?

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The platform’s out-of-the-box NLP enrichments include entity extraction, sentiment analysis, emotion analysis, keyword extractions, category classification, concept tagging, and more.

58. What is the primary way that interfaces with Watson to answer queries?

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A web page provides an interface for the user to query the documents uploaded to Watson Discovery. The webpage also allows the user to select the desired language for answers from Watson. The logic contained in the webpage sends the user queries to PubNub Data Stream Network.

59. Which statement best describes the primary use for Watson knowledge catalog?

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Watson Knowledge Catalog helps business users quickly discover, curate, categorize and share data assets, data sets, analytical models and their relationships with other members of your organization.

60. How can we use IBM Watson?

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• Here are five different types of applications where Watson is making an impact.
• Healthcare. The medical field is the sector that is likely being impacted the most by Watson.
• Finance. In the financial sector, Watson use is typically geared toward its question and answer capabilities.
• Legal.
• Retail.
• Fantasy Football.

61. What does IBM Watson analytics do?

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Watson Analytics is a smart data discovery solution available on the cloud. It guides data exploration, automates predictive analytics and enables effortless dashboard and infographic creation. You can get answers and new insights to make confident decisions in minutes, all on your own.

62. What happened to IBM Watson analytics?

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At the end of last year, IBM discontinued Watson for Genomics, which grew out of the joint research with the University of North Carolina. It also shelved another cancer offering, Watson for Oncology, developed with another early collaborator, the Memorial Sloan Kettering Cancer Center.

63. How smart is IBM Watson?

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In total, the system has 2,880 POWER7 processor threads and 16 terabytes of RAM. According to John Rennie, Watson can process 500 gigabytes, the equivalent of a million books, per second.

64. What is the Original IBM Watson Architecture light blue?

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65. What is the IBM Watson platform?

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IBM’s portfolio of business-ready tools, applications and solutions, designed to reduce the costs and hurdles of AI adoption while optimizing outcomes and responsible use of AI.

66. Is Watson a supercomputer?

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Watson is an IBM supercomputer that combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a “question answering” machine. The supercomputer is named for IBM’s founder, Thomas J.

67. Why did IBM fail?

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In 1993, IBM stunned the world by reporting quarterly losses of $8bn, caused by increased competition and a changing market. IBM was failing to compete with the new breed of innovative software companies and hardware producers who could make computers much more cheaply. … “This was an immense blow to IBM.

68. Is IBM Watson open source?

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Model Asset Exchange (MAX) makes trained open source deep learning models available for application use. IBM Watson Studio enables data scientists to engage with data to answer tough questions. It relies on Jupyter Notebook, to create/share documents with live code, equations, visualizations, & narrative text.

69. Explain the Architecture of Watson assistant for cloud private?

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70. How does IBM Watson process data?

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IBM Watson is a data analytics processor that uses natural language processing, a technology that analyzes human speech for meaning and syntax. IBM Watson performs analytics on vast repositories of data that it processes to answer human-posed questions, often in a fraction of a second.

71. What is the Watson project?

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Watson is a computer running software called Deep QA, developed by IBM Research. While the grand challenge driving the project was to win on Jeopardy!, the broader goal of Watson was to create a new generation of technology that can find answers in unstructured data more effectively than standard search technology.

72. Where does Watson get its information?

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Watson had stored in its memory millions of documents, including books, dictionaries, and encyclopedias as well as news articles. The data was collected either online from sources like Wikipedia or offline. The algorithm employed different techniques that together made Watson win the competition.

73. What does Watson stand for?

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Wireless Activities Transmitted Seamlessly Over the Network

74. What technologies were used in building Watson?

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Watson is built on the DeepQA framework. The hardware for this system involves a massively parallel processing architecture to enable simultaneous consideration of multiple interpretations and hypotheses.

75. What is IBM best known for?

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IBM is, perhaps, the best known computer company in the world. It began as the Computing, Tabulating & Recording Company (C-T-R) founded by Herman Hollerith in the late 1800s. IBM was the world leader in providing computer systems for both business and scientific applications.

76. Who uses Watson assistant?

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Companies using IBM Watson Assistant for Conversational AI Platform include: DB Dialog & DB Systel, a Germany based Transportation organisation with 336278 employees and revenues of $42.70 billions, Panasonic, a United States based Manufacturing organization with 23000 employees and revenues of $14.38 billions

77. Can I talk to IBM Watson?

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Go to the Start a Chat with IBM Support article for information on how to start a chat with IBM Support. Chat with Watson is currently available for select products, but Watson is always learning new skills and will be coming soon to additional IBM products.

78. Is IBM Watson the best AI?

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IBM Watson. IBM is one of the best AI engines because of Watson. It comes powered by modern innovation in machine learning to allow the models to learn more with less data. Developers can choose to build new models from scratch or use Watson APIs and pre-trained solutions to power existing applications.

79. Why is IBM successful?

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However, IBM’s success was also the result of a devoted labor base and progressive corporate culture well ahead of its time. Fostered by the late chairman and CEO Thomas J. Watson, Sr., this culture emphasized a “family” atmosphere at IBM with Watson as father figure and provider for his employees.

80. Does IBM still exist?

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It currently operates through five business segments: Cloud & Cognitive Software, Global Business Services, Global Technology Services, Systems, and Global Financing. Below, we take a closer look at six of IBM’s more recent acquisitions, all of which have taken place within the past 20 years.

81. What is the IBM Watson API models?

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82. Who are IBM’s main competitors?

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• Competitive Analysis
• IT Services: IBM’s main competitors are Accenture, Hewlett Packard, and Wipro Technologies. Infrastructure Software: IBM’s biggest competitors are Microsoft, Oracle, and Amazon. Hardware: IBM mainly competes against Oracle, Dell, and HP.

83. What is the use of Watson discovery?

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Watson Discovery is an intelligent search and text analytics platform from IBM. It enables enterprises to quickly and accurately find and unlock insights hidden in documents and other structured and semi-structured information.

84. What is the purpose of Watson Discovery Service?

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Watson Discovery Service is a new suite of APIs that enables you to ingest, normalize, enrich, index, search, and explore your data, both structured and unstructured. Watson Discovery gives you the ability to store, analyze, and understand your data at scale.

85. How is Watson discovery accessed?

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Architecture. A common way to use Discovery is by accessing the Discovery APIs from your application. The Watson team releases SDKs that support many programming languages so that you can use Discovery easily in a web or mobile application.

86. How does the Watson tone analyzer work?

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Tone Analyzer uses linguistic analysis to detect three types of tones from communications: emotion, social, and language. Watson Tone Analyzer leverages cognitive linguistic analysis to identify a variety of tones at both the sentence and document level. This insight can then be used to refine and improve communications.

87. What is Watson Discovery News?

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Infuse your applications with news made smarter by Watson. By discovering trends and patterns in sentiment with aggregate analysis, you’ll see new perspectives on how news unfolds across the globe. You can also track recent historical trends across millions of articles and stories.

88. What are IBM Watson personality insights?

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The installable IBM Watson Personality Insights service enables applications to derive insights from social media, enterprise data, or other digital communications. This service can automatically infer, from potentially noisy social media, portraits of individuals that reflect their personality characteristics.

89. Why did IBM create Watson?

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Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.

90. What is IBM Watson cognitive computing?

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Cognitive computing refers to systems that learn at scale, reason with purpose and interact with humans naturally. Rather than being explicitly programmed, they learn and reason from their interactions with us and from their experiences with their environment.

91. Is IBM Watson good?

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IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a strong analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you’ll find and easily takes our Editors’ Choice honor.

92. Who is the CEO of Watsons?

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Malina Ngai

A.S. Watson Group

93. What type of AI is IBM Watson?

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Watson is an IBM supercomputer that combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a “question answering” machine. The supercomputer is named for IBM’s founder, Thomas J.

94. What challenges did the programmers of Watson have to overcome?

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Figuring out the actual meanings of phrases in this so-called “natural language” that people use has been singled out as the greatest challenge Watson’s programmers faced.

95. Who uses IBM Watson?

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Companies using IBM Watson for AI Platform include: Mizuho Bank, Ltd, a Japan based Banking and Financial Services organization with 59132 employees and revenues of $17.72 billions, Vodafone New Zealand, a New Zealand based Communications organization with 3000 employees and revenues of $2.03 billions

96. What makes IBM unique?

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What makes IBM unique is its ability to continually renew itself and create new markets. That’s key to understanding how IBM approaches innovation. While other companies think in terms of quarters or years, IBM thinks in terms of decades—or longer.

97. Is IBM Watson on premise?

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Through their integration with IBM Cloud Private for Data (ICP for Data), Watson and Watson Open Scale can now be run in any environment – on premises, or on any private, public or hybrid-multi cloud – enabling businesses to apply AI to data wherever it is hosted.

98. How do you deploy a chatbot?

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For building and deploying a chatbot successfully you should be familiar with flask and HTML frameworks. Yes obviously, you should be very good with Python and most importantly the Chatterbot library in python to build this AI chatbot.

99. What is Watson used for?

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IBM Watson is AI for business. Watson helps organizations predict future outcomes, automate complex processes, and optimize employees’ time.

100. What is IBM famous for?

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IBM, in full International Business Machines Corporation, leading American computer manufacturer, with a major share of the market both in the United States and abroad. Its headquarters are in Armonk, New York.