Artificial Intelligence

Introduction To Implementation

Course now available in Japan – English & Japanese Versions

Gain the knowledge and confidence to determine how to apply AI in your organization

8 Hour Course

One Day Private
Onsite or 5
Online Sessions


Multiple Payment

Course Benefits

1. Build Foundational Knowledge:

Develop understanding of AI and its business applications, giving you knowledge and confidence to lead your team and transform your organization

2. Lead Strategic Decision-Making:

Identify opportunities, mitigate risks, and assess opportunities for growth

3. Manage Risks:

Better assess and manage the security, privacy, and legal risks posed by AI

4. Drive small start experiments:

Initiate small start experiments and measure business value.  

5. Organize for success:

Create a task force to operationalize and kickstart the experimentation process

Stay Ahead! Experience What US Executives Are Learning on AI

Future leaders must evolve their leadership approach to maintain an advantage in the digital age which now includes AI.

Course Overview

AI Foundation

  • What is AI
  • How does Generative AI differ from traditional AI and current systems?
  • What has changed? What is the new opportunity?
  • What is most important for building a strategy? What do most people get wrong about AI?
  • What is a neural network? Why is it important to building your strategy?
  • What is the difference between an AI system and a Neural Network?

Generative AI

  • What new capabilities are now available?
  • What new risks must be considered and managed? How do I prepare to lower risk?
  • What makes Generative AI more challenging to implement?
  • What are the roadblocks to getting started?
  • What is the next frontier?

Case Studies

  • What makes Generative AI use cases different from traditional AI?
  • What are the current applications and use cases?
  • What are the emerging use cases for the future?
  • How do I identify the right use cases for my company?

Building a strategy and Implementation Plan

  • Who are you? A pioneer, an early adopters, or late adopter
  • What should most companies do? How should they start?
  • Who do I need on my team? How do I select the right team?
  • Build vs Buy - Buy from my vendor, build myself, or a hybrid?
  • What are the typical project phases to get started?
  • How do I change my organization to make implementation progress?

Why Did We Create This Course?

"I am surrounded daily with smart, successful executives who don't know how to get started with AI. I realized many truly don't understand the technology or why it matters, much less how to assess its viability for their organization."
Mani Agrawal, PHD, MS Engineering, Operations Research
Curriculum Creator

Meet Your Instructors

Jay Revels
CEO and Founder

Working at Adobe Japan and Marin Software Japan, Jay has a 19 year technology career with 10+ years of executive leadership in Japan building high performing revenue teams. Jay co-founded Ichizoku to help Japanese technology companies build high performing engineering teams with global talent capability. He is passionate about helping Japan technology companies build teams that use new technologies and global talent to provide competitive advantage and accelerate market share growth. Jay also led the integration of AI technology to support Japan customers of Ichizoku's partner, Sentry. Ichizoku is one of the first companies in Japan to deploy AI technology to support the Japanese customers of Global Software vendors.

Mani Agrawal
COO and Co Founder

Mani has a distinguished academic background where he earned a Ph.D. in operations research from North Carolina State University, a M.S. in Engineering from Vanderbilt University, and a Bachelor of Technology from the Indian Institute of Technology. Mani first began his research of Neural Networks during his doctorial studies at North Carolina State University. He founded and headed the business consulting practice of Cognizant in Europe, was Chief Scientist at Manugistics (now Blue Yonder) in USA, and was an expert consultant with McKinsey in the Chicago office. Mani supported global customers that were struggling with operational efficiency and supply chain bottlenecks. Mani led the the worldwide turn around of a business unit of a Fortune 10 company in the energy sector. In addition, Mani designed a supply chain system for a leading Japan automotive manufacture, enabling three week order-to-delivery for custom vehicles. Mani has lectured at leading global universities in the USA, China, and Europe on topics such as optimizing large scale systems. Today, Mani is passionate about creating algorithms to solve real world challenges for global industries.

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