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Building AI-Powered Business Model - mitsumi - 11-14-2024
Building AI-Powered Business Model
![[Image: 3862618b68240df10b8da604265e9d05.jpeg]](https://i124.fastpic.org/big/2024/1114/05/3862618b68240df10b8da604265e9d05.jpeg)
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.14 GB | Duration: 2h 18m
Transform Your Business with AI: Strategies for Integrating AI to Drive Growth, Innovation, and Competitive Advantage
What you'll learn
Identify High-Impact AI Opportunities
Develop an AI-Powered Business Strategy
Design an AI Adoption Roadmap
Leverage Data for AI-Driven Decision Making
Implement AI Use Cases Across Key Business Functions
Address Ethical and Regulatory Challenges
Measure and Optimize AI Performance
Build and Lead Cross-Functional AI Teams
Requirements
Basic Understanding of Business and Technology Concepts
Experience in a Professional or Managerial Role
Openness to Learning New Concepts in AI and Strategy
Description
In today's fast-paced digital landscape, artificial intelligence (AI) is transforming how businesses operate, opening new avenues for innovation, efficiency, and growth. "Building AI-Powered Business Models" is designed to help you understand how to harness the potential of AI to drive value, optimize operations, and create a competitive edge in your industry. This course will guide you through the steps of designing, implementing, and scaling AI-driven strategies within your business model, with practical insights and real-world examples tailored to professionals in business, tech, and management roles.What You'll LearnIdentify Key AI Applications: Discover how AI is used across industries to enhance customer experience, streamline operations, and innovate new product lines.Build an AI-Driven Strategy: Learn how to design a business model that integrates AI effectively, creating measurable impact and aligning with your organization's goals.Implement AI Solutions for Real Results: Develop a roadmap for integrating AI projects that deliver value early and create a framework for sustainable AI growth.Manage Ethical and Practical Challenges: Understand the risks, ethics, and governance frameworks essential to building responsible and compliant AI-powered solutions.Who This Course is ForThis course is ideal for:Business leaders and managers looking to integrate AI into their strategic planningEntrepreneurs and innovators aiming to create AI-driven products or servicesTech professionals and data scientists interested in understanding the business impact of AIConsultants and analysts working with AI adoption and digital transformation initiativesWhy Take This Course?As AI becomes a cornerstone of digital transformation, understanding how to build a business model around it is crucial for staying competitive. By the end of this course, you'll have the tools and knowledge to design a sustainable AI strategy, from initial project selection to full-scale implementation. Equip yourself to lead AI-powered initiatives that create value for your organization and meet the evolving needs of the modern market.
Overview
Section 1: Introduction to AI in Business
Lecture 1 Overview of AI in Business Models
Lecture 2 Key Trends in Generative AI
Section 2: Defining Business Problems for AI
Lecture 3 Identifying Core Challenges
Lecture 4 Use Cases for AI
Lecture 5 Aligning AI with Business Goals
Section 3: Building the AI Strategy
Lecture 6 Creating an AI Adoption Roadmap
Lecture 7 Prioritizing Early Successes
Lecture 8 AI-Driven Value Creation
Section 4: Selecting AI Projects
Lecture 9 Criteria for Project Selection
Lecture 10 AI for Efficiency vs Innovation
Lecture 11 Risk Mitigation Strategies
Section 5: AI-Powered Business Models
Lecture 12 Subscription and AI-as-a-Service (AIaaS) Models
Lecture 13 Data Monetization
Lecture 14 Outcome-Based Pricing Models
Section 6: Building Cross-Functional Teams
Lecture 15 Collaboration Across Departments
Lecture 16 Involving End-Users
Lecture 17 Managing Change and Adoption
Section 7: Ethics and Risks in AI
Lecture 18 AI Governance Frameworks
Lecture 19 Bias and Fairness
Lecture 20 Regulatory Considerations
Section 8: AI in Action: Case Studies
Lecture 21 AI in Financial Services
Business Leaders and Executives,Entrepreneurs and Innovators,Managers and Project Leaders in Technology and Data Science,Consultants and Business Analysts,Anyone Interested in AI-Driven Business Strategy
Screenshots
![[Image: a0d9ef8081e82158454b032d1ffa33d8.jpeg]](https://i124.fastpic.org/big/2024/1114/d8/a0d9ef8081e82158454b032d1ffa33d8.jpeg)
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