Accelerating Artificial Intelligence With Business Analysis
Anyone defining requirements for digital solutions must keep up with new trends in technology such as Artificial Intelligence (AI) and Big Data to remain relevant in the workforce. The requirements […]
About Course
Anyone defining requirements for digital solutions must keep up with new trends in technology such as Artificial Intelligence (AI) and Big Data to remain relevant in the workforce.
The requirements elicitation and analysis process is just as crucial for AI initiatives as it is for any other project. Business stakeholders and technical experts like data scientists, chatbot developers, or machine learning engineers involved in an AI project need to collaborate to produce a successful product.
Business Analysts Make Sure Technological Developments Drive Business Value
The role of the business analyst is to help organizations with their decision-making process by asking questions and analyzing data to better understand what they need. With the emergence of AI, data scientists need input from business analysts about what type of information is needed to generate AI models.
Course Content
MODULE ( 1 )
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Introduction to AI
00:00 -
History of Artificial Intelligence
00:00 -
Artificial Intelligence (AI) vs. Machine Learning (ML) vs. Deep Learning (DL)
00:00 -
AI Applications
00:00 -
AI Basics
00:00 -
The benefits of Artificial Intelligence
00:00 -
Future of Artificial Intelligence
00:00 -
How Do Big Data and Data Analytics Change IT Analysis
00:00 -
Machine Learning, Weak AI (ANI), and Strong AI (AGI)
00:00 -
The Business Analyst Role in Implementing AI-Based Business Solutions
00:00 -
The Impact of AL in Three Level of Business Analysis
00:00 -
Targeted IT Business Analysis: Analyze Features and User Stories
00:00 -
Tactical Business Analysis: Elicit and Prioritize User Requirements
00:00 -
Strategic Business Analysis: Prepare for Future Changes
00:00