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Info Tech Midterm
Chapters 4, 5 and 6
| Question | Answer |
|---|---|
| Machine Learning (ML) | uses smaller neural networks and catagorized data to learn to preform a single function |
| Application Programming Interfaces (APIs) | Connects systems to share data or software systems being able to communicate with eachother |
| Types of APIs | Public, Internal, Partner and Composite |
| Limitations of API | Has Non-Determinism, Hallutinates and limited use cases |
| Benefits of APIs | improves productivity, more innovation, more security, reduces need for in-house development and can access 3rd party tools |
| Ways to Collaborate with AI | Mirroring, Assistant, Guide and Oracle |
| Assistant vs. Guide | Assistant allows for your own ideas to be validated instead of influenced through a guide |
| Retrieval-Augmented Generation (RAG) | focuses on specifics of the knowledge given and uses a workflow without an agentcy placed |
| How does RAG work? | User asks a question, it finds relevant information from knowledge base given, combines question + info and then generates an answer |
| AI Agent Characteristics | autonomous, goal-oriented, adaptive and provides decision making |
| AI Agent Challenges | Vulnerable, not trustworthy, explains action policies poorly and needs human oversight/control |
| The 3 Roles for Managers | Interpersonal (guide employees), Informational (obtain and transfer info) and decisional (take action after analysis) |
| 3 Main Business Problems | Operational, Managerial and Strategic |
| Data Analytics vs. Analysis | Analytics forecasts for future events and advances facts and algorithms to get better insights while Analysis understands the past processes inspections to find useful information |
| Business Analysis vs. Analytics | Analysis looks at the business, evaluates problems and finds solutions while Analytics looks at trends in the business to make it the most successful and is predictive |
| Types of Data Analytics and Analysis | Descriptive, Diagnostic, Predictive and Perspective |
| Benefits of Diganostics | Deeper insights, improved problem solving, lower risks, higher costumer satisfaction, etc |
| Trends vs. Patterns | Trends go in a general direction of some measurement overtime while a pattern is distinctive changes that repeats in some measurement overtime. |
| Benefits of Human AI Collab | Enhanced Quality, Higher productivity and efficiency |
| Challenges of Human AI Collab | Lowers employees expertise and cannot understand why or how tasks are formed and loss of knowledge and skills |
| Mental Models | how you conceptualize reality through an individual's internal repersentation of the external world |
| How to evaluate generated output | accuracy, relavence, fluency, transparency, safety and human alignment |
| autonomous weapons | created using machine learning and can engage and destroy targets without a human's help, which makes it easier for world conflicts to occur |
| Audits are used for which 2 biases? | actions or interventions that do not represent everyone and outcome of those actions that makes the system overall wrong |
| Why is there a data warehouse? | integrated, subject oriented and is non-volatile, has information needed for managers, simplistic and can process large sets of data daily |
Created by:
evehec
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