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“Two key technologies that will determine the success of organizations are hybrid cloud and AI.”
-IBM CEO Arvind Krishna, speaking at Think 2021
Watson is IBM’s portfolio of cloud native, business-ready tools, applications and solutions, designed to reduce the costs and hurdles of AI adoption while optimizing outcomes and responsible use of AI. By the end of this short course you’ll understand the technologies that underlie Watson, the tools and applications that compose the Watson portfolio, and how the Watson platform is bringing value to businesses around the world.
Estimated Learning Time: 1 hr
Q1. Which of the following are recognized types and formats of data in business? (Select all that apply)
Q2. True or false: The terms Machine Learning and Deep Learning can be used interchangeably.
Q3. Hybrid cloud is a cloud computing environment that combines three IT infrastructures. Which are they? (Select three)
Q4. True or false: Data is useful when training most AI models, but it is not required.
Q5. Which of the following is a data variable or feature that involves quantitative data? (Select all that apply)
Q1. Select the IBM Watson Tool that helps you get your data ready for AI:
Q2. Select the IBM Watson tool that you can use to build models using R, Python, or Spark notebooks, as well as using AutoAI:
Q3. Select the IBM Watson application that you use to create a virtual assistant that can interact with customers:
Q4. Select the IBM Watson application that you use to surface answers and insights using AI-powered search and text analytics:
Q5. These are all Watson AI Solutions EXCEPT:
I hope this AI on IBM Watson: The Essential Guide IBM Quiz Answers would be useful for you to learn something new from this problem. If it helped you then don’t forget to bookmark our site for more Coding Solutions.
This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.
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