Question 1: Module 1 – Complete the sentence: AI is a combination of Technology + Computing Power + Complex Algorithms + ______.
- Quantum physics
- Cloud computing
Question 2: Module 1 – Which of the following is an example of AI at work?
- Credit card fraud protection
- Automatic doors
- Virtual Reality headsets
Question 3: Module 2 – Which of the following statements is the most correct summary of AI?
- It’s an artificial sentient being that can understand human motivations with only basic demographic information.
- It’s a tool that helps people work better and do more by exploring new ways of working.
- It’s simply a fix-all that can plug in to any situation and improve it.
- It’s an android workforce that’s going to replace human workers.
Question 4: Module 2 – Which of the following is not an advantage of AI?
- Expanding business globally without a local presence.
- Empowering sales staff with online browsing insights on their customers.
- Overcoming language barriers with intelligent translation software.
- Improving poor quality or incomplete data without any further inputs
Question 5: Module 3 – What is the specific term used to describe the way a machine can understand enormous amounts of data by mapping relationships within it? For example, achieving speech recognition by determining the relationships and associations between words.
- Deep learning
- Data scoring
Question 6: Module 3 – What is ‘data wrangling’?
- The act of preparing and transforming data to be analysed by artificial intelligence and analytic software
- A hacking technique that extracts intel from competing companies’ databases.
- A process of generating brand new data, using simulation software.
- Another name for Artificial Intelligence.
Question 7: Module 4 – What is the foundation of AI?
- Computing power
- The cloud
Question 8: Module 4 – Which of the following isn’t necessarily a staple of good quality data?
- Validated: it has been cleansed to ensure it is high quality, accurate and relevant.
- Representative: it contains a broad scope of data and not only a narrow-sighted sample.
- Produced by humans: it is sourced from hand-typed data entry, such as an online form.
- Produced by machines: it is automatically generated by devices and other technology.
Question 9: Module 5 – Which of the following isn’t a necessary step for a business to take to get ready for the cloud and AI?
- Analyse the existing technology landscape.
- Begin ‘data wrangling’, collecting, organising and preparing data.
- Install adequate air-conditioning to keep the cloud cool and operating effectively.
- Invest in modern infrastructure.
Question 10: Module 6 – True or false? Many of today’s tech skills may become redundant in the future.
Question 11: Module 6 – What is a good strategy to bring about a cultural shift amongst current employees and their attitude towards AI?
- Focus only on employees who already understand and embrace the benefits of AI, ignoring naysayers.
- Switch the technology over and let employees learn to adapt on their own. Sink or swim!
- Engage and upskill your workforce, providing dedicated AI training, and clearly explain the benefits of upgrading your technology.
- Hire a fun mascot to dance around people’s desks, promoting AI until they come around to the idea.
Question 12: Module 7 – What type of AI analysis could be embedded directly into your product to continuously improve it with direct customer feedback?
- Email automation
- Machine learning
- Social media sentiment
- Cognitive services
Question 13: Module 7 – How could chatbots improve your customer data?
- Identify which of your customers have bad spelling.
- Introduce ‘gamification’, awarding users for updating their details.
- Trick them into thinking they are talking to a real human.
- Reveal more about their personality by analysing their profile photos.
Question 14: Module 8 – What is the core benefit of connecting the front and back end of office processes?
- More employee motivation
- More efficient workflows
- Fewer overhead costs
- Real-time collaboration
Question 15: Module 8 – How does AI fuel innovation?
- Algorithms can think more creatively than humans.
- Employees work harder so they aren’t replaced.
- AI frees up internal resources to allow your experts to focus on the bigger picture.
- Investing in new technology is innovation.
Question 16: Module 9 – What is the future AI development that will help AI understand and respond to us like another human?
- IQ (Intelligence Quotient)
- ET (Emotional Terrestrial)
- VA (Voice Activation)
- EQ (Emotional Intelligence)
Question 17: Module 9 – What was a technological shift that Conversational AI could be compared to?
- Dos Prompt > Windows Graphic Interface
- Radio > Television
- VCR > DVD
- Horse-drawn carriages > Cars