IS Exam 5

 algorithms and models that enable computers to learn from data without being explicitly programmed for every task

Computer process of searching analyzing largedata sets Algorithms various techniques break down theconnections in data

Business users, Business analysts/Data analysts, Data scientists

applications technologies processes foranalyzing providing access amounts of data tohelp make better business decisions

powerful subset of machine learning that utilizes artificial neural networks with multiple layers to analyze data solve

Carries out a task with high efficiencyToday’s AI systems, No consciousness (not aware of surroundings) Chat GPT

Drivers of AI

drive better business decisions, improve operational efficiency, and achieve a competitive advantage

Structured, Unstructured Decisions, Semi-structured

artificial intelligence program that can understand and generate human language

Ability to identify objects, scenes, and activities in images

Identifies the likely outcome of each decisionSuggests multiple future outcomes based upon decision maker actions

Not yet achieved• Matches or exceeds human intelligence

Types of Analytics

Examines recent and historical data to detect patternsand predict future outcomes and trends

Intelligence Phase. Design Phase. Choice Phase. Implementation Phase

Displays human-like capabilities such as reasoning,learning, planning & creativity

BI Presentation Methods

Techniques that learn from a representation of artifacts from dataand models to generate new unique artifacts

Summarize what has happened in the pastEnables decision makers to learn from past behaviors