How to Start an AI Consulting or AI Services Firm

$175
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Jill Cannon Associates LLC provides workshops and customized short courses for professionals seeking to enhance their professional skills and effectiveness in adopting/developing and implementing AI and Data-driven projects and strategies that deliver tangible ROI and avoid risk.

As Artificial intelligence continues to transform industries, with very few exceptions, the fact of the matter however is that only a small portion of AI projects are successful with millions being wasted on Artificial Intelligence initiatives every year. The 3 core competencies an AI strategist/consultant should have, covered in this workshop include:

  • Deep understanding of a business domain: An AI Strategist is typically a non-technical professional with knowledge about a certain sector(s) or industry; A fundamental grasp of the business’s customers, sources of revenue, costs, operations etc. will help the strategist understand and prioritize where in the value chain AI implementation will have the most impact. This is where the Data scientists and Engineers fall short. Most of them do not understand the business problem to be solved.
  • Knowledgeable grasp over the fundamentals of Machine learning: The AI strategist should have an understanding of the fundamentals of the AI language, making it easier to communicate with the data scientists and engineers and make the bridging of the gap between IT and Business that much easier.
  • Ability to separate AI myth versus reality: Most of the disappointments in AI implementations arise because of misguided expectations. An astute AI strategist will be able to articulate in solving a business problem, how much will be done by an AI system and how much by the human system hence setting the right expectations.

In this best practice-training course, we break down Data Dominance and these Critical Capabilities to provide guidance on how to bolster them within any organization to deliver ROI and avoid risks.

On completion of this course, you will walk away with:

  • An understanding of the economic opportunity for AI consulting;
  • The ability to assess the AI readiness of any business organization;
  • Definition of your AI Consulting or AI Services brand;
  • Guide on representing your AI consulting or AI services brand;
  • A practical plan to successfully drive and implement an AI strategy within a business environment;
  • An understanding of the various internal and external considerations to ensure successful AI project delivery; and
  • Insight into the value, risks, and opportunities associated with implementing an AI strategy.

What we provide:

Helping professionals leverage on their business knowledge and experience in leading enterprise AI Strategy through specific & specialized knowledge.

Takeaway Resources:

  • AI Readiness Canvas;
  • AI Project’s Data Worksheet;
  • AI Adoption Essentials Cheat-sheet;
  • AI Career Roadmap for Non-technical Professionals Bundle;
  • AI Adoption Strategy Bundle;
  • AI Terms & Components Definitions (ML, Chat-bots, NLP, RPA etc.).

Benefits:

  • Understand AI, what to do with it, how, when, where and why;
  • Have a clear understanding of the enterprise problem AI is intended to be applied to;
  • Build successful AI projects with tailored consulting;
  • Be able to translate business/enterprise problems into data questions;
  • Have the requisite knowledge to assemble and maintain teams to develop and deploy AI projects.

COURSE CURRICULUM

Learn to develop an AI strategy that aligns with organization’s goals as you work through the modules of this online short course.

Part 1: KNOWING:

1. Module 1: AI Strategist Role Definition

  • The job of an AI Strategist;
  • Analytics Awareness;
  • Delivering AI Use-Cases.

2. Module 2: AI Strategist Skills Definition

  • Necessary Skills for AI Strategist;
  • Developing the Ability to deliver AI Use-Cases;
  • Defining a Business Problem;
  • Prioritizing Business Problems.

Part 2: CONNECTING:

3. Module 3: Managing AI Adoption Phases

  • Building blocks of AI & Strategy;
  • Understanding the AI Project building blocks;
  • Knowing when AI Isn't for Your Client.

4. Module 4: Challenges of Integrating AI

  • Framework for enterprise AI adoption;
  • The Challenges of Integrating AI;
  • How to Overcome These Challenges.

Part 3: DOING & BEING:

5. Module 5: Ethical implications of AI

  • Transparency;
  • Accuracy;
  • Accountability;
  • Job security and AI;
  • Rules of Thumb on AI & Job Security.

6. Module 6: Vendor Selection Process

  • Support for the AI lifecycle (Problem Scenario);
  • Viability (Motivation);
  • Modern software engineering (Architecture);
  • Support for a broad range of users (Usability).
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$175

How to Start an AI Consulting or AI Services Firm

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I want this!