Summer 2025 Decision, Risk & Operations Management B8117 section 001

Business Analytics III: Modern AI, Deep

Business Analytics III: A

Call Number 10971
Day & Time
Location
W 2:00pm-6:00pm
420 Kravis Hall
Day & Time
Location
RF 9:00am-5:00pm
420 Kravis 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 0 students (74 max) as of 10:06AM Saturday, February 22, 2025
Subject Decision, Risk & Operations Management
Number B8117
Section 001
Division School of Business
Section key 20252DROM8117B001