watsonx kickoff icebreaker

Generative AI will fuel business value if it is effectively _____________, which is best achieved through watsonx with IBM Consulting.

(Select the most appropriate answer that best represents IBM's point of view.)

• Introduced by our security consultants and platform partners

• Introduced on multi-cloud, secure platforms

• Tailored to the enterprise

• Tailored to include all current offerings

____________ is a complete enterprise-ready studio to train, validate, tune, and deploy AI models and a library of curated and trained IBM and open-source foundation models.

• watsonx.governance

• watsonx.ai

• generative AI center of excellence

• watsonx.data

Generative AI __________

• Is a single model with associated code

• Is a repository for data and content

• Can automate most tasks and is easy to implement and maintain

• Is a field of artificial intelligence focused on creating models and systems capable of generating new and original content.

____________ is a data store built on open lakehouse architecture optimized for governed data and AI workloads.

• watsonx.governance

• watsonx.ai

• generative AI center of excellence

• watsonx.data

___________ can generate human-like language, perform question-answer tasks, and even generate code.

• Large Language Models

• Foundation Models

• Deployable Language Models

• Encoders and Decoders

Which of the items listed below is NOT a benefit of Generative AI that IBM sees accruing to employees and business leaders?

• Augment or enhance human capabilities

• Decrease utilization

• Increase employee productivity

• Accelerate employees’ pace of work

_______________ allows you to rapidly apply Generative AI to new and existing use cases through a proven co-creation method. (Select the most appropriate option.)

• Enterprise Design Thinking

• Agile

• Application Management Services

• IBM Garage

IBM Consulting is using a use-case approach to penetrate the Generative AI opportunity set in the market. Which of the following are the top three use cases that IBM Consulting will focus on initially?

• Human Resources, Marketing, Product Optimization

• watsonx, Pilots & Workshops, Elite & Premiere clients

• Customer Service, Human Resources, Modernization & Migration

• Customer, Talent, Technology

IBM Consulting is aggressively working to penetrate the industry by the end of 2023 by targeting over ____________ pilots and workshops.

• 70

• 500

• 1000

• 700

Which of the following options correctly explains why a common risk of using Large Language Models (LLMs) is that of a “flagrantly false narratives"?

• IBM is not governing the rules of AI in all situations.

• Large Language Models are created by hackers.

• AI only guesses at the next best syntactically correct word and cannot infer meaning.

• AI doesn’t know how to tell authentic stories.