Explore a comprehensive guide to evaluating AI and data analytics solutions for enterprise business problems in this 50-minute conference talk. Learn to navigate the complex landscape of artificial intelligence, machine learning, and data analysis techniques. Discover a basic rubric for assessing AI's suitability for your specific business needs, avoiding costly implementation mistakes. Gain insights into traditional AI, its evolution over 45 years, and its current applications in various industries. Understand the differences between business intelligence, predictive analytics, and generative AI. Examine the importance of defining your problem, considering subjectivity, inputs, outputs, and data requirements. Evaluate the level of effort required and explore various AI frameworks to make informed decisions about implementing AI solutions in your enterprise.
Overview
Syllabus
Intro
Ambers AI background
Traditional AI
AI in 45 years
Boston Dynamics
Google
AI for Business
AI Landscape
Business Problem
Data Science
Expectations
The Reality
The Process
Define Your Problem
subjectivity
inputs and outputs
data
machine learning
business intelligence
predictive
generative
level of effort
frameworks
AI solution
Recap
Taught by
NDC Conferences
