Ai-Powered Business Models: From Strategy To Execution
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.65 GB | Duration: 4h 42m

Transformative AI Strategies for Business Growth, Innovation, and Ethics

What you'll learn

Understand AI fundamentals and their business applications.

Identify AI integration opportunities within various industries.

Develop strategic AI roadmaps tailored to business goals.

Master data acquisition, management, and quality assurance.

Implement AI in key business operations like supply chain, HR, and finance.

Build and deploy AI models using suitable algorithms and tools.

Innovate products and services through AI-driven strategies.

Analyze AI impact using KPIs and ROI for continuous improvement.

Navigate ethical and legal considerations in AI deployment.

Scale AI solutions across global operations and infrastructure.

Requirements

Basic understanding of business concepts

Interest in AI technologies and their applications

No prior AI experience needed

A computer with internet access

Description

Unlock the full potential of artificial intelligence with our comprehensive course on developing AI-powered business models. This course offers a deep dive into harnessing AI technologies to revolutionize your business operations, innovate products and services, and drive strategic growth.You will begin with an introduction to AI-powered business models, tracing their historical evolution and exploring contemporary trends and future prospects. Delve into the core AI technologies, including machine learning, deep learning, natural language processing, and robotics, to understand how they can be applied to solve business challenges.Learn to identify lucrative business opportunities for AI integration through market research and competitive analysis. Gain essential skills in data acquisition, management, and analysis, which are crucial for building robust AI models. We cover everything from defining AI objectives and developing strategic roadmaps to budgeting and risk management.Explore practical applications of AI across various business functions such as supply chain management, customer support, human resources, and finance. Discover how AI can drive product and service innovation, enhance marketing strategies, and streamline operations in areas like Amazon FBA and design services.Address ethical and legal considerations to ensure responsible AI use and learn how to assess AI's impact through KPIs, ROI analysis, and customer feedback. Finally, prepare for scaling your AI solutions and strategize for future advancements in AI technology.This course is designed for business leaders, entrepreneurs, and professionals eager to leverage AI for competitive advantage and long-term success. Join us to master the art of integrating AI into your business model and stay ahead in the rapidly evolving AI landscape.

Overview

Section 1: Introduction to AI-Powered Business Models

Lecture 1 Introduction

Lecture 2 Historical Background and Progression

Lecture 3 Contemporary Trends and Future Prospects

Section 2: Contemporary Trends and Future Prospects

Lecture 4 Machine Learning and Deep Learning Fundamentals

Lecture 5 Natural Language Processing and Computer Vision

Lecture 6 Robotics and Automation

Section 3: Identifying Business Opportunities for AI Integration

Lecture 7 Market Research and Customer Demands

Lecture 8 Analysis of the Competitive Environment by Using AI

Section 4: dаta: The Foundation of AI

Lecture 9 Data Acquisition and Management

Lecture 10 Ensuring Data Quality and Preprocessing

Lecture 11 Big Data Analysis

Section 5: Developing AI Strategies for Business

Lecture 12 Defining AI Objectives and Aims

Lecture 13 Developing an AI Roadmap

Lecture 14 Budgeting, Resource Allocation, and Risk Management

Section 6: Building AI Models

Lecture 15 Choosing Suitable Algorithms

Lecture 16 Model Training and Validation

Lecture 17 Model Deployment

Section 7: Implementing AI in Operations

Lecture 18 AI in Supply Chain Management

Lecture 19 AI in Customer Support

Lecture 20 AI in Human Resources

Lecture 21 AI in Finance and Accounting

Section 8: AI-Driven Product and Service Innovation

Lecture 22 Customized Customer Experiences

Lecture 23 AI in Product Design and Development

Lecture 24 AI in Service Delivery

Section 9: Ethical and Legal Considerations

Lecture 25 Ethical AI Practices

Lecture 26 Compliance with Regulations

Lecture 27 Addressing Bias and Ensuring Fairness

Section 10: AI-Powered Marketing Agency

Lecture 28 AI Generated Content

Lecture 29 Personalization and Customer Engagement

Lecture 30 AI in Social Media Marketing

Section 11: AI-Powered Amazon FBA Business

Lecture 31 Product Hunting and Research

Lecture 32 Inventory Management and Forecasting

Section 12: AI-Powered Design Services Agency

Lecture 33 Project Overview

Lecture 34 AI-Driven Graphic Design

Lecture 35 Delivering Tailored Design Solutions

Section 13: Assessing and Evaluating AI Impact

Lecture 36 Key Performance Indicators (KPIs)

Lecture 37 Return on Investment (ROI) Analysis

Lecture 38 Gathering and Analyzing Customer Feedback

Lecture 39 Continuous Improvement Strategies

Section 14: Scaling AI Solutions

Lecture 40 Addressing Scaling Challenges

Lecture 41 Infrastructure, Scalability, and Global Expansion

Section 15: The Future of AI in Business

Lecture 42 Advancements in AI Technologies

Lecture 43 Forecasts and Emerging Trends

Lecture 44 Long-Term Business Strategies

Lecture 45 Final Thoughts and Conclusions

Business professionals looking to integrate AI into their operations,Entrepreneurs aiming to innovate with AI-driven business models,Data scientists seeking to apply AI in real-world business scenarios,Tech enthusiasts interested in the intersection of AI and business,Corporate strategists focused on future-proofing their organizations,Students and beginners wanting to explore AI in a business context