Fall 2024 Decision, Risk & Operations Management B8117 section 001

Business Analytics III: Modern AI, Deep

Business Analytics III: A

Call Number 17129
Day & Time
Location
W 2:20pm-5:35pm
620 GEFFEN HALL
Points 1.5
Grading Mode Standard
Approvals Required None
Instructor Charles R Guetta
Type LECTURE
Method of Instruction In-Person
Course Description

Business analytics refers to the ways in which enterprises such as businesses, non-profits, and
governments use data to gain insights and make better decisions. Business analytics is applied
in operations, marketing, finance, and strategic planning among other functions. Modern data
collection methods – arising in bioinformatics, mobile platforms, and previously unanalyzable
data like text and images – are leading an explosive growth in the volume of data available for
decision making. The ability to use data effectively to drive rapid, precise, and profitable
decisions has been a critical strategic advantage for companies as diverse as Walmart, Google,
Capital One, and Disney. Many startups are based on the application of AI & analytics to large
databases. With the increasing availability of broad and deep sources of information – so-called
“Big Data” – business analytics are becoming an even more critical capability for enterprises of
all types and all sizes.

Web Site Vergil
Department Decision, Risk and Operations
Enrollment 149 students (150 max) as of 11:06AM Saturday, December 7, 2024
Subject Decision, Risk & Operations Management
Number B8117
Section 001
Division School of Business
Open To Business, Journalism
Section key 20243DROM8117B001