Business AI with Cho-Nan Tsai

Name: Business AI with Cho-Nan Tsai
Rating: 4.6 (5 reviews)

Navigate Business AI: From Hype to Reality - Lead Secure, High-Impact Projects with AI in Enterprise Environments

Created byCho-Nan Tsai

Last updated 4/2025

English

What you'll learn

Develop enterprise AI strategy with true cost analysis and resource planning, avoiding the expensive pitfalls
Master practical frameworks for evaluating enterprise AI solutions - cut through vendor hype and assess real costs, limitations, and business value.
Scale AI with effective governance and security, implementing risk mitigation that works in enterprise environments.
Build sustainable AI operations that deliver real ROI, with clear frameworks for maintenance and measurable business outcomes.

Course content

6 sections • 24 lectures • 1h 45m total length

Welcome3:14
A personal introduction from Cho-Nan, an experienced 3X CTO, who promises to cut through AI hype and deliver practical, real-world implementation strategies for businesses.
What is business AI?2:35
Explains how AI is becoming an invisible but essential part of business operations, emphasizing that AI augments rather than replaces human capabilities.
Why does AI matter in businesses?4:12
Uses compelling examples like Polaroid and Blockbuster to illustrate how AI adoption is becoming crucial for business survival and competitive advantage.
How does business AI work?3:17
Breaks down how AI recognizes patterns in data, using analogies to human pattern recognition but at a much larger scale, with practical business applications.
Are you ready to implement business AI?3:09
Home work assignment

Types of AI projects in enterprise world5:31
Covers eight key domains where AI is creating impact, including Data Analytics, Customer Service, Process Automation, Supply Chain, Cybersecurity, HR, Product Development, and Financial Management.
On conducting AI readiness assessment5:45
Outlines five critical dimensions for evaluating organizational AI readiness: Data Infrastructure, Technical Capabilities, Organizational Culture, Strategic Alignment, and Governance.
Assessing company needs3:50
Details a three-phase approach to evaluating AI implementation: Discovery, Opportunity Assessment, and Feasibility Analysis, emphasizing the importance of understanding business problems before applying AI solutions.
Where to get data7:59
Teaches creative ways to find data within your organization to work with and what to do there isn't enough data.
How to train an AI model4:37
Explains the fundamentals of AI training, comparing it to human learning but at massive scale, emphasizing the importance of quality data and proper validation.
Model validation4:39
Details the process of ensuring AI models work effectively in real-world conditions, using analogies to quality control in manufacturing.

History of AI evolvement3:19
Traces the evolution of AI from early rule-based systems to modern deep learning and generative AI, highlighting key developments and breakthroughs.
What can generative AI do?2:54
Explores how generative AI amplifies human creativity and productivity, with practical business applications and examples.
Prompt engineering3:30
Describes the crucial skill of effectively communicating with AI systems, explaining why it's becoming a vital business competency with high-paying career opportunities.
Large language model and multimodal LLM5:25
Covers the capabilities of advanced AI models that can process multiple types of data (text, images, audio) and their business implications.
Best practices for building LLM applications5:12
Shares lessons learned from Intuit's experience in implementing AI, focusing on practical approaches to model selection and deployment.
Challenges with generative AI applications6:50
Addresses key issues like data drift, hallucination, context limitations, and biases in AI systems.
Case study: building a customer support agent6:19
Provides a detailed walkthrough of creating an AI-powered customer service solution, from planning to deployment.

Changement management considerations3:16
Focuses on the human aspect of AI implementation, addressing employee concerns and resistance to change.
Cybersecurity considerations for AI applications3:39
Outlines security risks and protective measures for AI systems, including data leaks, prompt injection, and other vulnerabilities.
AI and data governance considerations4:32
Emphasizes the importance of proper data management and governance frameworks for successful AI implementation.

Requirements

Do you care about delivering a solid AI project that brings ROI?
Appreciation for technology solutions, especially in the field of AI. This is all you need to get started for this course.

Description

Transform your business with AI - beyond the hype and headlines. Led by a current USC lecturer and a 3x CTO with extensive experience building AI systems for fintech and banking, this comprehensive course equips business leaders with practical knowledge to successfully implement AI initiatives.

You'll learn to distinguish between AI capabilities and limitations, from basic AI projects to advanced large language models. Through real-world case studies and practical frameworks, discover how AI can drive operational efficiency, enhance decision-making, and elevate customer experience.

The course covers critical aspects of enterprise AI implementation including:

- Strategic project planning and execution

- Technology selection and evaluation

- Change management and team alignment

- Cybersecurity and compliance considerations

- Data governance and best practices

- Framework for AI readiness test

Special focus is given to emerging technologies like generative AI, with practical insights on applications, limitations, and implementation strategies. You'll learn to navigate common pitfalls, manage risks, and build sustainable AI initiatives that deliver measurable business value.

Designed for C-suite executives, business owners, and leaders who want to drive AI transformation but may lack technical background. No coding experience required - we focus on the strategic and practical aspects of AI implementation that matter to business leaders.

By the end of this course, you'll have the knowledge and frameworks to confidently lead AI initiatives, evaluate opportunities, and make informed decisions about AI investments in your organization.

The course is meant to be interactive. Submit answers to questions in homework assignment and our instructor will respond with comments. Also, any time when you are implementing an AI project, please send any questions. Our instructor can help you along the way - 24 hour response time!

Who this course is for:

Business leaders
Business executives
Business owners
Board members
CEOs
CIOs
CFOs
CTOs
SVP of business organizations
VP of business organizations
Directors of business organizations
Managers of business organizations

Business AI with Cho-Nan Tsai

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Course content

Introduction5 lectures • 16min

Hype vs. Reality2 lectures • 9min

Your First AI Project6 lectures • 32min

Generative AI7 lectures • 33min

Management Tactics3 lectures • 11min

Conclusion1 lecture • 3min

Requirements

Description

Who this course is for: