CIS 200 Reading 1

Internet of Things (IOT)

This is any device that is connected to the internet. This could be a smart watch connecting to a phone. Or appliances that send data.

Machine to Machine

Two or more devices interacting (wireless or wired) to share data. (ATM) Mostly used for data sharing

Data

Raw facts that decribe events or objects. This could be an order date or products that are sold. Too large for a single computer.

Information

This is when data is turned into useful context. This could determine best or worst selling products.

Business intellignence

Information that is collected across many sources that show patterns and trends. This could comparing sales to the economy.

Knowledge

Taking skills, experience, and information to make decisions. Making hiring/ firing decisions. Knowing what food is about to expire etc.

Structured data

Stored in a spreadsheet or accounts. Human generated. Includes numbers, dates.

Unstructured data

Not a specified format. Emails, tweets, texts. 90% of data

Other types of data

Eniviornmental, social, and governance

Report

A document containing data in a table. Many subjects

Variable

Stands for a value and changes or varies over time

Dynamic Report

Changes automatically during cration. Updting stock prices or inventory

Static Report

Once created does not change. Salary report from 10 years ago.

Algorithm

formulas splaced in softwares to perform analytics on data. Can be as simple as a recipe or scheduling uber rides or more complicated things.

Business Analytics

Scientific process of transforming data into information to promote a business’ decision.

Data Analyst vs data scientist

The analyst collects the data and identifies the patternes for strategic business decisions. Translate data to be more simple

The data scientist uses this data to understand big market trends or changes. Generate code to understand big data.

Descriptive analytics

Describes past performance to spot trends.

diagnostic analytics

examines data to understand why something happened.

predictive analytics

Predicts future trends to see patterns.

prescriptive analytics.

Models that show the best decisions to make or actions to take.

Knowledge assets

The human resources a organization has. The minds of the members, customers, and colleagujes.

Knowledge workers

Those who interpret and analyze information

Business Department

Part of company representing a specific business function (accounting, marketing)

Democratization

Making something accessible to everyone

Data democratization

The ability for data to be collected, analyzed, and accessible to everyone.

system

A collection of parts that link to achieve a common purpose.

systems thinking

A way of monitoring the entire system by viewing inputs while getting feedback

Management information systems (MIS)

A business function that such as accounting or HR that moves information about products or people throughout the company.

May focuse on Gender skills gap or DEI (diversity, equity, and inclusion)

Machine Learning

A type of artificial intellignece that enables computers to understand concepts in the enviornment and to learn.

How many categories of interdisciplinary AI are there

There are 6

Weak AI

Simulate human thoughts and reasoning to perform certain tasks. Such as ai chatboxes

Strong AI

not yet in affect. Find solutions when tasks are unfamiliar, has more common-sense reasoning. Mind as strong as a human

Generalized AI

Possess human level intelligence. Can learn and understand at the level a human.

Affinity bias

A tendency to connect with those with similar interests

conformithy bias

acting similarly to those around you regardless of your own views

confirmation bias

looking for evidence that backs up ideas of someone

name bias

tendency to perfer certain names.