AI Quizzes
Q) This is typically associated with the "Think" section of the Sense-Think-Do framework. A) Predict an outcome. B) Take informed action. C) Optimize a process. D) Find meaning in words.
A) Predict an outcome.
Q) This is one of the top two barriers for organizations to implement intelligent automation. A) Process fragmentation. B) Unwillingness to change. C) Lack of interest from top management. D) Rejection by employees.
A) Process fragmentation.
Q) This is NOT something that ShotSpotter can do: A) Report the identity of the shooter. B) Report the direction and speed of the bullet's travel. C) Report how many shots there were. D) Report the latitude, longitude, and altitude of the shot.
A) Report the identity of the shooter.
Q) Theft of an irrevocable identity marker, such as a fingerprint, can have lifetime implications on anindividual's ability to secure her personal data, as is an example of this type of risk: A) Security. B) Regulatory. C) Privacy.
A) Security.
Q) Computer vision to verify product specs and validate quality means dealing mostly with this type of information: A) Sensory (as in one of the five senses). B) Physical. C) Biological.
A) Sensory (as in one of the five senses).
Q) This is one of the few tasks remaining for managers: A) Strategy setting. B) Project management. C) Cost control. D) Development of direct reports.
A) Strategy setting.
Q) Creating a digital environment that replaces the user's real-world environment best defines: A) Virtual reality. B) 360 video. C) Immersive experience. D) Augmented reality.
A) Virtual reality.
Q) A question like "how do we leverage the continuum of talent from full-time to crowds" pertain to this dimension of the future of work: A) Workforce. B) Work development. C) Workplace. D) Work.
A) Workforce.
Q) Current projections related to automation estimate: A) Job losses and gains cancelling themselves out. B) A net gain in jobs. C) A net loss in jobs. D) We cannot predict net losses and gains due to automation.
B) A net gain in jobs.
Q) In supervised learning: A) An algorithm learns to perform a task simply by trying to maximize rewards it receives for its actions. B) An algorithm uses training data and feedback from humans to learn relationships. C) An algorithm uses neural networks to predict the answers. D) An algorithm explores input data without being given an explicit output variable.
B) An algorithm uses training data and feedback from humans to learn relationships.
Q) " Given a training set of data, determine whether specific inputs are out of the ordinary." This statement refers to: A) Clustering. B) Anomaly detection. C) Ranking. D) Continuous estimation.
B) Anomaly detection.
Q) Building frictionless intermodal travel needs a robust infrastructure of which this is NOT a part. A) Roadside sensors. B) Better consumer engagement options. C) Comprehensive telecommunications network. D) Traffic management systems.
B) Better consumer engagement options.
Q) A question like "How do you provide employees—ecosystem talent—and teams with the broadest and most meaningful range of development?" belongs to this category in the new model to manage talent. A) Access. B) Curate. C) Engage. D) Develop.
B) Curate.
Q) Use of NLG (Natural Language Generation) would be typically associated with this section of the Sense-Think-Do framework. A) Think. B) Do. C) Sense. D) Learn.
B) Do.
Q) The potential for organizations, and even nation-states, to target, manipulate, and discriminate against populations based on biometric data collected is an example of this type of risk: A) Regulatory. B) Ethical. C) Security.
B) Ethical.
Q) It is estimated that AI could potentially create this amount of value in the global economy: A) $300 to $900 billion. B) $1.1 to $3.2 trillion. C) $3.5 to $5.8 trillion. D) $6.3 to 9.2 trillion.
C) $3.5 to $5.8 trillion.
Q) According to Poitevin and colleagues from Gartner, AI will eliminate this percentage of on-the-job, task-based learning opportunities. A) 53%. B) 47%. C) 67%. D) 34%.
C) 67%.
Q) This technology is in first place at the list of game-changer technologies: A) Blockchain. B) Data analytics. C) AI/ML. D) Cloud.
C) AI/ML.
Q) When it comes to edge computing, we can state that, unlike other types of use cases, the approach to data retention should be focused on what can be thrown away, because that will often be most of the data. True/False
True
Q) Analyzing customer feedback data using NLP is typically associated with this section of the Sense-Think-Do framework. A) Think. B) Do. C) Sense. D) Learn.
C) Sense.
Q) Selecting the AI techniques linked to the use cases, the skills and the data pertains to this step to implement AI: A) Use cases. B) Organization. C) Technology. D) Data.
C) Technology.
Q) In this future scenario we could have air quality improving but congestion getting worse: A) Business-as-usual urbanization. B) Seamless mobility. C) Unconstrained autonomy. D) Structured mobility.
C) Unconstrained autonomy
Q) Virtual Customer Assistants (VCAs) neatly sums up sense, think and do at the same time. True/False
True
Q) When creating a Proof of Concept for an AI project, it is possible to build a solution with a relatively small amount of data as long as the data has high quality. True/False
True
Q) When use technology to do good, advanced analytics can be a more time- and cost-effective solution than AI for some use cases. True/False
True
Q) 81% of marketing leaders surveyed expect to mostly or completely compete on the basis of the customer experience (CX) by 2019. True/False
True
Q) A significant difficulty with AI projects is to manage expectations, according to a Gartner report by Choudhary and colleagues True/False
True
Q) AI functions based on data, rules, or other inputs from humans are intrinsically biased. True/ False
True
Q) According to a Gartner report by Choudhary and colleagues, organizations should facilitate decentralized AI initiatives. True/False
True
Q) Affective computing might make it possible for us to be human at scale. True/ False
True
Q) Assistive technologies in field service releases an untapped growth engine for the enterprise. True/False
True
Q) Automation talent is being hoarded and most organizations should expect to work with a scarcity of it. True/False
True
Q) Because cognitive agents can help build trust with users, this trust-building encourages humans to use them for increasingly complex issues. True/ False
True
Q) In scenarios involving highly complex algorithms, the concept of trustworthiness might be a more useful organizing principle than explainability because of the limited need for the end user to understand the inner workings of the AI algorithms, as long as they have been properly validated. True/False
True
Q) This is a correct statement about intelligent interfaces: "skilled human observation, combined with machine data, still delivers the most robust and impactful understanding of manufacturing processes or retail operations." True/ False
True
Q) AI and ML (Machine Learning) are the same and interchangeable. True/ False
False
Q) Adoption of AI will minimize gaps among countries, companies, and workers. True/False
False
Q) Among organisations in the pilot phase, less than half have not estimated the payback period. True/False
False
Q) Based on the McKinsey article, only one third of the opportunities to use AI are in improving the performance of existing analytics use cases. True/False
False
Q) Considering edge computing and the development of technology in general, analytics capabilities will increasingly need to be deployed in centralized environments to facilitate management. True/False
False
Q) Deep learning is the best AI. True/ False
False
Q) In the McKinsey survey, more people expect AI to cause workforce increases than decreases in the next three years, with variances across functions. True/False
False
Q) The global market for speech and voice recognition technologies alone could reach upwards of US $20 billion by 2024. True/ False
False
Q) The percentage of transportation plans of the 68 largest US municipalities that considered the role of private ridesharing companies is: A) Very small (less than 5%) B) Relatively small (between 15% and 25%) C) Moderate (between 25% and 35%). D) Small (between 5% and 15%)
???
Q) This is among the top benefits of using AI for early adopters, according to the Deloitte survey: A) Free workers to be more creative. B) Reduce headcount through automation. C) Optimize internal operations. D) Capture and apply scarce knowledge.
???
Q) This type of neural network can store information in context nodes, allowing it to learn data sequences and output a number or another sequence. A) GAN. B) Machine learning. C) RNN. D) CNN.
??? Not CNN
Q) When were Artificial Neural Networks (ANNs) first developed? a) 1950s. b) 1990s. c) 1880s. d) 2010s.
??? not 1990s
Q) "A multilayered neural network with a special architecture designed to extract increasingly complex features of the data at each layer to determine the output" describes: A) a GAN. B) Machine learning. C) a CNN. D) a RNN.
??? not RNN
Q) Automation in the delivery of new applications can be mostly used in this area: A) Requirements gathering. B) Mapping processes. C) Creating UX. D) Testing.
???... mapping process incorrect
Q) This is not a layer in the composition of a smart city: A) Traditional infrastructure. B) Technology base. C) Specific applications. D) Adoption and usage.
???... not Specific applications.
Q) This is the percentage of all workers in developed countries who, by 2030, may need to move into new occupations or at least upgrade their skill sets significantly. A) 30-40%. B) 40-50%. C) 20-30%. D) 50-60%.
A) 30-40%.
Q) This is the percentage of the US workforce that is in supplemental, temporary, project, or contract-based work: A) 35%. B) 55%. C) 25%. D) 45%.
A) 35%.
Q) Poitevin and colleagues from Gartner assume that this percentage of a manager's work will be automated by 2024. A) 69%. B) 47%. C) 52%. D) 35%.
A) 69%.
Q) The percentage of long-term customers using emotional language to describe their connection to favored brands is: A) Between 50% and 70%. B) Between 70% and 90%. C) Between 10% and 30%. D) Between 30% and 50%.
A) Between 50% and 70%.
Q) Detecting brain waves to measure worker focus and stress levels means dealing mostly with this type of information: A) Biological. B) Physical. C) Sensory (as in one of the five senses).
A) Biological.
Q) The top us of AI in 2019 is: A) Chatbots. B) Computer assisted diagnostics. C) Resume screening. D) Anomaly or fraud detection on IoT data.
A) Chatbots.
Q) "These problems require a system to create a set of categories, for which individual data instances have a set of common or similar characteristics." This statement refers to: A) Clustering. B) Anomaly detection. C) Ranking. D) Continuous estimation.
A) Clustering.
Q) This is an example of a job that is evolving slowly and has low social-creative skills needs. A) Computer programmers. B) Customer service reps. C) Marketing managers. D) Critical care nurses.
A) Computer programmers.
Q) With Generative Adversarial Networks (GANs), we can: A) Create new images. B) Identify voice patterns. C) Understand speech. D) Recommend a new video to watch.
A) Create new images
Q) This is NOT one of the three primary benefits driving the uptake of intelligent automation: A) Decrease in the number of workers. B) Increased productivity and cost reduction. C) Greater accuracy. D) Improved customer experience.
A) Decrease in the number of workers.
Q) Maintaining buses and trains clean and reliable is part of this finding in the 2019 Deloitte City Mobility Index: A) Don't overlook the basics. B) What's past is prologue but not destiny. C) Integration is key. D) The challenges of private cars.
A) Don't overlook the basics.
Q) Ethnographic research is part of the tool set of this discipline: A) Human-centered design. B) Agile development. C) Programming. D) Data science.
A) Human-centered design.
Q) Those are two main factors that should be considered when selecting use cases: A) Impact and feasibility. B) Impact and technology certainty. C) Impact and requirements agreement. D) Time and feasibility.
A) Impact and feasibility.
Q) Scale, environmentals, remote management, and autonomy refer to this edge computing challenge: A) Locations. B) Data. C) Diversity. D) Protection.
A) Locations.
Q) This is the largest area of business impact for automation: A) New capabilities. B) Greater speed. C) Fewer workers. D) Scaled capabilities.
A) New capabilities.
Q) The use of AI in cyberwarfare would be an example of a violation of this ethical principle: A) Non-maleficence B) Comprehension C) Beneficence D) Distributive fairness
A) Non-maleficence
Q) Disallowing certain model forms that are overly complex and opaque to enable the organization to strike a balance with which it is comfortable is an example of this core principle to manage AI risk. A) Nuance. B) Clarity. C) Breadth. D) Autonomy.
A) Nuance.
Q) This is a true statement: A) Organizations adopting a combination of AI and RPA perform better than those implementing RPA only. B) Organizations using RPA only perform better than those using both RPA and AI. C) The performance of organizations using RPA is not comparable to those using AI. D) Performance of organizations using AI only is better than those using a combination of RPA and AI.
A) Organizations adopting a combination of AI and RPA perform better than those implementing RPA only.
Q) The ability to understand the physical space in which the machine is operating refers to this capability of autonomous things: A) Perception. B) Collaboration. C) Learning. D) Mobility.
A) Perception.
Q) Temperature sensors to regulate the environment to optimize material production deal mostly with this type of information: A) Physical. B) Sensory (as in one of the five senses). C) Biological.
A) Physical.
Q) This is one of the most-time consuming activities in automation projects: A) Create the script for the automation routine. B) Identify and select which tasks to automate. C) Scale the automated task. D) Develop the APIs for automation processes.
B) Identify and select which tasks to automate.
Q) This is NOT one of the steps to automating intelligently. A) Develop a resilient culture. B) Identify cost cutting measures. C) Align to business goals. D) Map skills and needs.
B) Identify cost cutting measures.
Q) This is the most complex (in terms of number of technologies involved) implementation of Digital Reality: A) Augmented reality. B) Immersive experience. C) 360 video. D) Virtual reality.
B) Immersive experience.
Q) This is the area with the fewest among of use cases in using AI for good, as identified in a McKinsey report: A) Heath and hunger. B) Information verification and validation. C) Security and justice. D) Environment.
B) Information verification and validation.
Q) Job crafting is: A) Analyzing the tasks done in each process. B) Involving individuals in the design of their own jobs. C) Creating new training paths for development. D) Redesigning jobs to work with technology.
B) Involving individuals in the design of their own jobs.
Q) Costs decrease from adopting AI is felt the most at this function: A) Marketing and sales. B) Manufacturing. C) Strategy and corporate finance. D) Product and service development.
B) Manufacturing.
Q) Revenue increase from adopting AI is felt the most at this function: A) Risk. B) Marketing and sales. C) HR. D) Manufacturing.
B) Marketing and sales.
Q) This is the area in which AI potential impact is greatest according to use cases. A) HR. B) Marketing and sales. C) Finance and IT. D) Risk.
B) Marketing and sales.
Q) Most cities have this target as the top priority in their transition to become smarter: A) Power and water. B) Mobility. C) Health. D) Safety.
B) Mobility.
Q) The potential for AI models to discriminate unintentionally against protected classes and other groups by weaving together zip code and income data to create targeted offerings is an example og this pain point category that can give rise to AI risks: A) Technology troubles. B) Models misbehaving. C) Security snags. D) Data difficulties.
B) Models misbehaving.
Q) This is the percentage of IT spend that can be targeted with automation: A) Between 50 and 70%. B) More than 70%. C) Up to 30%. D) Between 30% and 50%.
B) More than 70%.
Q) Integration and shared mobility is a component of this mobility theme: A) Investment and returns. B) Performance and resilience. C) Service and inclusion. D) Vision and leadership.
B) Performance and resilience.
Q) Optimized emergency response is an example of this category of smart solutions: A) Environment. B) Safety. C) Jobs. D) Cost of living.
B) Safety.
Q) Designing future roles and creating talent accelerators is part of this phase for continuous transformation of the workforce. A) Support. B) Shape. C) Scout. D) Shift.
B) Shape.
Q) This is NOT something typically associated with a typical journey mapping elements: A) Moments of truth and pain points. B) Technology supporting the shopping experience. C) Persona details. D) Customer goals, needs, and expectations.
B) Technology supporting the shopping experience.
Q) Regarding AMRs (Autonomous Mobile Robots): A) They are industrial robots that work autonomously in the physical world. B) They move materials around warehouses. C) They may work as personal assistants. D) They are able to swarm to tackle specific tasks.
B) They move materials around warehouses.
Q) This is NOT a step in an automated process to reset a password: A) Send instructions for self service via email. B) Ticket closed by agent. C) Confirm password change via email. D) Send link with instructions via email/SMS.
B) Ticket closed by agent.
Q) An elastic approach when deploying AI means: A) Allowing data to be provided on demand for AI clients. B) Allowing AI experts to have flexible contracts. C) Allowing clients to mature from off-the-shelf AI solutions by opening up the models. D) Allowing processing power to be hired on demand.
C) Allowing clients to mature from off-the-shelf AI solutions by opening up the models.
Q) This is the area of the world where the highest percentage of respondents has already deployed AI: A) Latin America. B) North America. C) Asia/Pacific. D) EMEA.
C) Asia/Pacific.
Q) The largest market for autonomous things is: A) Drones. B) Household devices. C) Autonomous vehicles. D) Robots.
C) Autonomous vehicles.
Q) Increasing capacity to transmit IoT data to the place where it will be processed means solving a problem related to: A) Cloud computing. B) Big Data. C) Bandwidth. D) Processing power.
C) Bandwidth.
Q) This AI-related risk is the most identified one by respondents in the McKinsey survey: A) National security. B) Organizational reputation. C) Cybersecurity. D) Equity and fairness.
C) Cybersecurity.
Q) This is the role in AXD that serves as the voice of the user. A) Product owner. B) Operations lead. C) Designer. D) The AI and automation solution architect
C) Designer.
Q) In the context of Digital Reality, tetherless access indicates: A) Location-free access to data. B) Environments that are completely fictitious. C) Devices that are free of tethering wires or unwieldy battery packs. D) Mixed reality involving virtual strings to enhance response.
C) Devices that are free of tethering wires or unwieldy battery packs.
Q) Capturing key transitions and handoffs, noting critical skills (and gaps), and establishing clear escalation measures are part of this AXD activity: A) Assess technology needs across multiple layers of the enterprise. B) Invest in change management. C) Draft the operational blueprint. D) Map the customer journey end to end.
C) Draft the operational blueprint.
Q) This is a mistake that many companies make when planning for the future of their workforce: A) Focusing too much on the technology. B) Moving too slow to adapt. C) Focusing too much on just the costs. D) Being too ambitious in their use of technology.
C) Focusing too much on just the costs.
Q) A system architect brings with her the following when assembling a team to create and deploy AI solutions: A) Team dynamics knowledge. B) Domain knowledge. C) IT skills. D) AI skills.
C) IT skills.
Q) Customer research, interviews, and process mapping are part of this AXD key activity: A) Assess technology needs across multiple layers of the enterprise. B) Invest in change management. C) Map the customer journey end to end. D) Draft the operational blueprint.
C) Map the customer journey end to end.
Q) Eye tracking is an example of: A) Human-centered design. B) Agility. C) Neuroscientific method. D) Manual input.
C) Neuroscientific method.
Q) The fact that AI/ML models can be opaque can lead to this political issue: A) Perception that data is not being collected fairly. B) Concerns with data transparency. C) Perception that some sectors of the population are better served than others. D) Concerns with data collection.
C) Perception that some sectors of the population are better served than others.
Q) Promoting fair treatment belongs to this category of ethical principles: A) Control. B) Comprehension. C) Procedural fairness. D) Beneficence.
C) Procedural fairness.
Q) The expectation that edge computing locations must be assumed to be uncontrolled and subject to physical tampering and theft refers to this edge computing challenge: A) Diversity. B) Locations. C) Protection. D) Data.
C) Protection.
Q) Gaming is the major end-user segment driver for this market: A) Mixed reality. B) Augmented reality. C) Virtual reality. D) 360 video.
C) Virtual reality.
Q) This is the most deployed type of intelligent interface. A) Mouse. B) Keyboard. C) Voice recognition. D) Affective computing.
C) Voice recognition.
Q) For employers, a need for more explicit attention to creating connections and community is a response to this issue: A) The future need for technical talent. B) The need for constant reskilling. C) Workplaces becoming more virtual and filled with more contingent workers. D) Machines working together with humans in organizations
C) Workplaces becoming more virtual and filled with more contingent workers.
Q) AI non-adopters might experience this percentage in decline in their cash flow from today's levels, assuming the same cost and revenue model as today. A) 80%. B) 2%. C) 50%. D) 20%.
D) 20%.
Q) Creating opportunities to engage consumers in transit is a trend that includes: A) Considering the use of flying commuting vehicles. B) Allowing for better route optimization. C) Providing frictionless intermodal travel. D) Allowing media and entertainment companies to discover new ways of connecting with audiences within vehicles.
D) Allowing media and entertainment companies to discover new ways of connecting with audiences within vehicles.
This is NOT a core principle advocated by McKinsey to manage AI risk: A) Clarity. B) Nuance. C) Breadth. D) Autonomy.
D) Autonomy.
Q) This is a critical bottleneck in most domains for the use of AI for good: A) Access to software libraries and other tools. B) Privacy concerns. C) Organizational receptiveness. D) Data accessibility.
D) Data accessibility.
Q) Use cases, topologies, technologies, and standards refer to this edge computing challenge: A) Protection. B) Locations. C) Data. D) Diversity.
D) Diversity.
Q) According to the Deloitte survey, this is the most common method for adopting AI: A) Crowdsourced development. B) Data science modeling tools. C) Automated machine learning. D) Enterprise software with AI.
D) Enterprise software with AI.
Q) This is the business function with the highest applicability of automation: A) Legal. B) Learning and development. C) Marketing. D) Finance.
D) Finance.
Q) This is the first of five steps to help understanding clients more efficiently. A) Map and analyze your customers' journeys. B) Decide whether to build or buy your solution. C) Track and measure success. D) Formulate your CX strategy.
D) Formulate your CX strategy.
Q) In this mode of control for autonomous things, control tasks are automated under all conditions. A) Conditional automation. B) Partial automation. C) Human-assisted automation. D) Full control.
D) Full control.
Q) "Pairing an expert jewelry forger against an expert appraiser" is an analogy that best describes: A) RNNs. B) CNNs. C) Machine learning. D) GANs.
D) GANs
Q) Convolutional Neural Networks (CNNs) are particularly good with: A) Speech recognition. B) Generating new images. C) Understanding data sequences. D) Image classification.
D) Image classification.
Q) Blending digital content into the real world better defines: A)Virtual reality. B) 360 video. C) Immersive experience. D) Mixed reality.
D) Mixed reality.
Q) This is an example of a city whose smart transportation initiatives have not caused a significant impact on its population: A) Medellin. B) Columbus, OH. C) Zurich. D) Paris.
D) Paris.
Q) Regarding the core elements and technologies of digital reality, visual overlays are an example of: A) Source of the data. B) Data processing. C) 360 videos. D) Presentation of the data.
D) Presentation of the data.
Q) Unsupervised learning can be particularly good with: A) Decision trees. B) Logical regression. C) Linear regression. D) Recommender systems.
D) Recommender Systems
Q) This is NOT one of the core principles that can help leader think about AI's ethical implications: A) Justice. B) Impact. C) Autonomy. D) Reliability.
D) Reliability.
Q) A Recurrent Neural Network (RNN) is a good tool for: A) Video recognition. B) Image recognition. C) Generating new images. D) Speech recognition.
D) Speech recognition.
Q) An algorithm management platform will greatly facilitate this task usually performed by managers: A) Project management. B) Administrative tasks. C) Development of direct reports. D) Team management.
D) Team management.
Q) This is true for off-the-shelf AI solutions: A) The skills requirements are high. B) The implementation risk is high. C) The maintenance requirements are high. D) The time to value is low.
D) The time to value is low.
Q) Upon analyzing these electroencephalographic (EEG) signals—the same ones used by doctors to understand brain (dys)function—machine learning algorithms can detect increased distraction and stress in an air traffic controller's brain activity patterns and decided that she needs a pause. True/ False
True
Q) This is a true statement about the development of computing power to support AI. a) CPUs are superior to IPUs when processing training data. b) GPUs are vastly superior to CPUs with regard to processing training data. c) The performance of CPUs and GPUs regarding processing training data is equivalent. d) CPUs are vastly superior to GPUs with regard to processing training data.
b) GPUs are vastly superior to CPUs with regard to processing training data.