Ai For Mastering Complexity
Published 12/2025
Created by Arun Singhal B-Tech, MB A (IIM-B),Unilever, J&J, Danone, IIMU, Cello
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 3h 53m ) | Size: 5.46 GB
What you'll learn
How to use AI for Mastering Complexity in Problem Solving & Decision Making
Case Studies of AI helping build Excellence in Mastering Complexity in Problem Solving & Decision Making
Building Blocks of using AI to build Mastering Complexity in Problem Solving & Decision Making
How to implement these AI Building Blocks for Mastering Complexity in Problem Solving & Decision Making
AI for Framing & Understanding the Problem
AI for Data-Driven Pattern Recognition(3 Lectures) AI for Multi-Scenario Simulation
AI for Multi-Scenario Simulation
AI for Cognitive Debiasing
AI for Decision Documentation & Reflection
Requirements
4 hours learning time
Description
Want to use AI (Artificial Intelligence) for Mastering Complexity in Problem Solving & Decision Making but don't know what to do and how?Take a look at this course where you willNot only learn about AI for Mastering Complexity in Problem Solving & Decision Making including how AI helps Mastering Complexity in Problem Solving & Decision Making , Case Studies of AI helping Master Complexity, Building Blocks of using AI to build Mastering Complexity in Problem Solving & Decision Making and How to implement these AI Building Blocks for Mastering Complexity in Problem Solving & Decision Making but alsoUsing AI for Framing & Understanding the Problem, Data-Driven Pattern Recognition, AI for Multi-Scenario Simulation, Cognitive Debiasing Decision Documentation & ReflectionPreview many lectures for free to see the content for yourselfGet Udemy's 30 days Money Back GuaranteeMy exposure to AI for Mastering Complexity in Problem Solving & Decision Making started in in three main waves:Analytics & Optimization Era (2000s-early 2010s)· AI (especially machine learning and optimization algorithms) started helping businesses analyze large, complex datasets and optimize decisions in areas like pricing, logistics, and risk.· Use: "What's the best decision given millions of variables and constraints?"Predictive & Prescriptive Era (2013-2020)· With big data and cloud computing, AI tools began predicting outcomes (e.g., churn, demand, failures) and giving prescriptive recommendations ("Do X, not Y, for best result").· Use: Scenario analysis, simulations, and "what-if" decision support for complex environments.Generative & Conversational Era (2020-now)· Tools like ChatGPT and other generative AIs let leaders and professionals
Who this course is for
Current, new and aspiring professional handling complex situations
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