1 of 23

AI has Gone Viral, Filling the Skills Gap

January 4, 2024

2 of 23

Years…I may be a bit older, in data and analytics space
Helped invent and pioneer entire field of data literacy (still write and speak on this quite often)
Published Author
Nicknames: Chief Nerd Officer and Godfather of Data Literacy

3 of 23

4 of 23

What Are We Doing?

The World of data and AI

�Data Literacy & AI

�Closing the Skills Gap

5 of 23

The World of Data�An Evolving Landscape

6 of 23

180,000,000,000,000,000,000,000

The annual datasphere by 2025

7 of 23

The Evolving World of Data

What is my role in the world of data and analytics?
What is AI doing to shape the world of data and how does it impact me?
What is data literacy? Do I have a background that can use data?
What is the future of data technology, will robots take my job?
How does data interact with digital transformation?

8 of 23

The Data Driven Train – The Purpose of Data

DATA

ANALYTICS

Descriptive

Diagnostic

Predictive

Prescriptive

INSIGHT

DECISION

9 of 23

9

Let’s See Some Numbers

85%

87%

20%

11%

According to Gartner, 85% of big data projects fail

According to VentureBeat, 87% of Data Science Projects never make it to production

According to Gartner, 20% of analytic insights will deliver business outcomes

According to Qlik, 11% of employees are full confident in their ability to read, work with, analyze, and communicate with data

85%

According to Pactera Technologies, 85% of AI projects fail to deliver on their intended promises to businesses

85%

According to Gartner, 85% of machine learning projects fail

The combination of business and data

10 of 23

10

Organizational Readiness and Maturity

11 of 23

The Four Levels of Analytics

Descriptive

Diagnostic

Predictive

Prescriptive

Observational Analytics

Insight Level

Let the Machine Talk

Let’s Fortune Tell

12 of 23

�Data & AI�Literacy

13 of 23

Roles and Support

Business

Data Analyst

Data Scientist

Data Engineer

Data Consumer

AI/ML Engineer

BI Specialist

Data Viz Specialist

CDO

Human Resources

Operations Management

IT Department

Marketing Department

Sales

Accounting & Finance

14 of 23

Benefits of Data & AI Literacy

Business

Data Analyst

Data Scientist

Data Engineer

Data Consumer

AI/ML Engineer

BI Specialist

Data Viz Specialist

CDO

Support

Decision Making

The Four Levels of Analytics

Automation

Efficiency & Effectiveness

Competitive Advantage

15 of 23

�Closing the Skills Gap

16 of 23

Ongoing Skill Enhancement & Understanding

Change and Adaptability

Understanding of Business Principles

Communication

Interpersonal Skills

Seek Mentoring and Guidance

Personal Pillars

17 of 23

Vision and Strategy

Assessment

Communication Plan

Feedback

Performance, Adoption, and Change Measurement

Documentation and Standardization

Change Agents or Champions

Long lasting change and success…

Change Management – Create Your Playbook

18 of 23

The Four Rights of Data

The RIGHT data
At the RIGHT time
For the RIGHT Objective/Need
With the RIGHT data literacy

The RIGHTS of Data

19 of 23

Mindset plays a key role to empowering an individual, unit, and organization to seize the opportunity that data and AI present…develop the right mindset.

The Power of Mindset

20 of 23

For AI success, the majority of people need to improve question asking….

- Clear

- Concise

- Context

- Creative

The Power of Questions

21 of 23

Become Data-Driven – Set Your Plan

What am I trying to achieve? Set the outcome

How do we get there? Build the strategy

Do I have the right tools? Arm yourself

Do I have the right skills? Train yourself

Do I have the right environment? Establish the culture

22 of 23

Resources

LinkedIn – Jordan Morrow�
www.bodhidata.com�
Book 1: Be Data Literate

Book 2: Be Data Driven

Book 3: Be Data Analytical

23 of 23

THANK YOU!