The Executive's Guide to AI: Maximizing Value, Minimizing Risk

Summary

This course is designed for decision makers and their need to improve businesses through AI. This workshop will provide you with a comprehensive understanding of Generative Artificial Intelligence (GenAI) and its value in business. You'll learn about:

  • IF/WHEN AI solutions are worth the money.
  • HOW to estimate the return of investment of AI solutions.
  • WHAT the latest developments in GenAI and its applications in business.
  • WHAT questions to ask and how to manage AI vendors and AI tech teams (list of questions compiled by our AI expert) .
  • BEST practices on AI safety and governance considerations when implementing an AI solution (sample of AI policy given).
  • FREE BONUS for each attendee: after course access to feedback on your own projects with 'AI use case review' by our AI expert teacher.

Waiting list

The cost of the workshop depends on your location ($499, £399, EUR469). To secure your spot, please click the button below to join the waiting list.





We send to this email the confirmation and class info.

If you have these questions...

You're a business
executive

Do I actually need an AI solution or it is just a shiny tool with no value?

What is the return of investment of an AI project I should expect? How do I calculate it?

So many vendors in AI, what's the best quality and cost effective for me?

Given an AI vendor costs, will be easy to switch if we dont like it or what about the long term cost?

Should I buy an AI solution or build my own? What's best for me? Options and the costs?

If we implement this AI solution today, how do we know will be still good and not obsolete or redundant?

You're a tech and product leader

Do I need to hire AI developers or can I just use chatGPT or mid journey etc. myself?

Is it better outsourcing or recruiting internally, how do I know?

Which data or information I have to collect, if any?

Can I build an AI solution without our own sensitive data?

If the AI goes wrong it's because doesn't work or because I set up it wrongly? How do I know that?

How do I know what to ask to the AI developers?

You're a security and product leader

How do you know the AI solution is reliable, can you really trust?

Can you protect from harm by an AI solution and how much it cost?

How about AI governance and legal requirements for my business if I use AI? How much it cost?

What about security? If I use AI what's the exposure on cyber security attacks?

...You are in the right class!

Course Information

  • 3 hours of content in 2 sessions: next expected dates September/October 2024 (recording available soon after the session)
  • Criteria on how to choose the best AI tool for your case
  • Best prompts and setups examples to get the most out of AI tools
  • List of questions to AI developers and vendors to know if they providing you the best solution you can get
  • Actionable drafted procedure examples to ensure security and harmful content
  • Legal and cost information about the latest AI tools

What you will get out of this course...

  • In-depth knowledge of GenAI techniques applied to business applications
  • Hands-on experience with state-of-the-art tools and frameworks
  • Insights into the latest research and industry trends
  • Practical skills to integrate GenAI into your projects
  • Complimentary BONUS: AI use case review. After completing the course, you will have access indefinitely to our expert teacher to review your specific AI use cases and receive feedback on cost, suggested tech specs,AI governance, ROI etc.

Teacher Bio

Dr. Emily Wilson

The workshop will be taught by Dr. Andrea Isoni , a renowned expert in the field of Generative AI.

Dr. Isoni has over 10 years of experience in AI business applications. Physicist and PhD from Imperial College, Chief AI Officer at AI Technologies a company specialized in AI and automation (clients in various sectors Telecoms, Cybersecurity, Public Sector, Gaming, Energy).

Former advisor of Antler Venture Capital, committe member for IEE and ISO Standards for AI policy.

Writer in AI ('Machine Learning for the Web' published by Packt in English and translated in Chinese and Korean more 10,000+ copies sold).

International speaker (including London, New York, Dubai, Frankfurt, Saudi Arabia).

Previous AI business reports and research (like the State of AI) has been read and found insightful by leading organisations and government such as Deloitte, GE Healthcare, BMS Group, Asus, WWT, Japan Secretary of State, MOJ KSA etc.

100% Refund Policy

We offer a 100% refund if you're not satisfied with the workshop after the first day session.
We want to ensure that you get the most out of this course, and if it doesn't meet your expectations, you can request a full refund, no questions asked.

Full Course Roadmap

First Day

Section 1: WHY/WHEN AI SOLUTION ADD VALUE

  • 1
    Section 1: Business criteria and metrics to determine if AI solutions are valuable for your business
    • 2
      Section 1: genAI in action: Exercises of automations using genAI to ‘feel’ the potential
    • 3
      Section 1: many AI providers, how to choose: a comparison of major AI providers and cloud based on performance/pricing/maintenance/integration

    Section 2: WHAT AN EXEC SHOULD KNOW ABOUT AI AND THE USE OF DATA

    • 1
      Section 2: GenAI explained: what a business should know plain English
      • 2
        Section 2: Source of data: how to use internal or public data at your advantage

      Second Day

      Section 3: HOW AN EXEC SHOULD MANAGE DEVELOPMENT AND OPERATION OF AI SOLUTION

      • 1
        Section 3: Outsource vs Internal development: pros and cons
        • 2
          Section 3: Interact with AI teams in the right way: a list of questions to ask AI teams to ensure business results

        Section 4: HOW AN EXEC SHOULD CONTROL/MONITOR AND OPERATION OF AI SOLUTION

        • 1
          Section 4: AI solution to quantifiable returns: How to link and monitor technical metrics and business metrics
        • 2
          Section 4: Governance and regulations: which regulations AI solutions should abide to
        • 3
          Section 4: AI and data governance: how to implement an AI policy and procedure for your company
        • 4
          Section 4: Certification and governance: how write and implement an AI and data policy in your company

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