ISQS Exam 3 mini quiz questions
IBM's _____________ is a good example of a system that does not think like humans.
Deep Blue
The objectives for those working on developing artificial intelligence (AI) are varied. Based on the class preparation materials, some of these objectives include which of the following.
* Build systems that think exactly the same way that people do ("strong AI"). * Use human reasoning as a model that can inform & inspire but not as the final target for imitation ("In-between AI"). * Get the job done & don't care if the computation has anything to do w/ human thought ("weak AI").
According to the prep material, which of the following are potential uses for drone technology. Select all that apply.
* Deliver pizzas * Survey construction sites * Track data important to agriculture * Check warehouse inventory * Inspect existing infrastructure * Replace existing infrastructure
To experience virtual reality (VR), you need to wear a special VR headset. VR headsets fall into which of the following categories? Select all that apply.
* Gaming console-connected VR headsets * Standalone headsets * Computer-connected VR headsets
Walmart is adding thousands of new robots to its stores to perform which of the following tasks? Select all that apply.
* Scrub floors * Scan boxes as they come off delivery trucks * Sort boxes by department onto conveyer belts * Scan shelf inventory
According to the prep material, Tableau allows you to do which of the following to see and understand data. Select all that apply.
* combine data from multiple sources * use natural language to go from question to answer * transform & shape data for analysis * drag & drop to discover trends & outliers * see all your data at a glance
According to the prep material, developing a deep understanding of the metrics that influence key performance indicators (KPIs), and the capability to do analytical reporting, will help businesses to do which of the following. Select all that apply.
* investigate trends * predict outcomes * discover new insights
What are some of the things that a business can do to develop a data-savvy workforce? Select all that apply.
* start from the top w/ data-driven leadership * use data everywhere & embed it into your culture
According to the prep material, with Tableau you can easily connect to which of the following data sources. Select all that apply.
- Spreadsheets - Big Data - Databases - Cloud Data - Data Warehouses
According to the prep material, the following will help to create a data-savvy workforce:
1. Start from the top w/ data-driven leadership 2. Hire data-driven team members 3. Look w/in your existing ranks 4. Use data everywhere & embed it into your culture 5. Create your own data dictionary & tools strategy 6. Remember that data is NOT everything
According to the preparation materials, one generation ago the half-life of a skill was about ____ years. Today, it is ____ years and dropping.
26; 4.5
The consulting group, McKinsey, suggests that by 2030, the workforce will spend ____ more time using technical skills than in 2016.
55%
A(n) _________ bias is an issue with artificial intelligence (AI) systems where biases can be created within AI systems and then become amplified as the algorithms evolve.
AI-induced
_____________ overlays virtual objects on the real-world environment.
Augmented reality
______________ is the ability to navigate the sea of information that is generated by machines.
Data literacy
According to the definition of a robot in the prep material, a drone that you pilot to pester your neighbors is considered a robot. (T/F)
False
According to the prep material, artificial intelligence (AI) is a robot. (T/F)
False
For a system to be considered AI, it has to work in the same way humans do. (T/F)
False
Generating lots of reports and/or having dashboards throughout an organization is sufficient for an organization to be considered as having a data-driven culture. (T/F)
False
Humans excel against machines on frequent, high-volume tasks. (T/F)
False
Machines excel against humans in tackling novel situations. (T/F)
False
______________ is what we as humans can do that machines (for the foreseeable future) cannot.
Human literacy
Developing a deep understanding of the metrics that influence _______, and the capability to do analytical reporting, will help businesses to investigate trends, predict outcomes, and discover new insights.
KPIs
_______________ augmented reality uses technology embedded in a device, such as GPS, digital compass, velocity meter, and/ or accelerometer, to provide data based on your location to produce a result.
Markerless
With ________________________________, virtual objects are not just overlaid on the real world but can interact with it.
Mixed reality that starts w/ the real world
_______________ augmented reality allows for human interaction by sending light onto a real world surface and then sensing the human interaction with that light.
Projection-based
Data are not really helpful unless you understand the questions you need to answer. (T/F)
True
Texas Tech University recently partnered with the software company, Aira, to provide an augmented reality service to students with visual impairments. (T/F)
True
The overarching goal of AI is to enable the development of computers that are able to do things normally done by people -- in particular, things associated with people acting intelligently. (T/F)
True
_____________ immerses users in a fully artificial digital environment.
Virtual reality
For Google, __________ form the basis for its data analytics and ultimately its innovative culture.
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