This talk will reveal the 5 key elements that you need to have success with a Data Science project. Based on the rollout of a multimillion-dollar AI initiative several key factors have been crucial for the success of the project. Those five items will be outlined in this talk and some of them may surprise you.

1. Top 5 Items
For a Successful
Data Science Project
(c) 2018 Robert Joseph, Ph.D.

2. About Me
• BS and MS from Massachusetts
Institute of Technology
• MS and Ph.D. from Carnegie Mellon
University
• Over 30 years State-Of-The Art
Development
• Over 14 years as Professor
• Patent for Internet Radio Station &
DJ System
• Proud Father of 2 Teenage Boys
• Senior Data Scientist solving Data
Science Problems and Building an
Analytical Learning Infrastructure
(c) 2018 Robert Joseph, Ph.D.

3. Question
(c) 2018 Robert Joseph, Ph.D.
Who is in the audience

4. Successful Project
Definition
•Used in production
•Positive impact on revenue
or efficiency
(c) 2018 Robert Joseph, Ph.D.

5. The 2 Faces of a
Data Science Project
Exploratory
• What Data, Technique and Results
• Experimentation
• Access to different tools
• Not always AI solution
Production
• Up 24/7
• Integrated into workflow
(c) 2018 Robert Joseph, Ph.D.

6. 1. Commit
Get total buy in
• Leadership
• Process
• Just in data gathering could mean workflow
change
• Bad data often time reflects processes that
can be improved
• Not about the technique or technology but
about problem solving
• Financial
• Resources:
• IT, Business Personnel, Development,
Change Management, UAT, etc.
(c) 2018 Robert Joseph, Ph.D.

7. 2. Define Benefits
Define needs and benefits
that tie into a revenue
stream and how it will be
used
(c) 2018 Robert Joseph, Ph.D.

8. 3. Business People
Involvement
Have business users
involved in the process from
the beginning
(c) 2018 Robert Joseph, Ph.D.

9. 4. Project has phases
Project has 3 phases
• Exploration
• Transition
• Live Deployment
• Plan for deployment ahead of time
Exploration
Production
Transition
(c) 2018 Robert Joseph, Ph.D.

10. 5. Data Gathering
Takes Time
Data gathering, and
cleaning always takes
longer than the scheduled
time.
What ever your estimate
multiply by 4 trillion times
J
(c) 2018 Robert Joseph, Ph.D.

11. 5+ Automatic Data
Checking
Put automated data
integrity checks in place.
(c) 2018 Robert Joseph, Ph.D.

12. Summary
(c) 2018 Robert Joseph, Ph.D.
1. Commit
2. Define Benefits
3. Get Business People Involved
4. Project has Phases
5. Data Cleaning Takes More Time
that expected
5+. Establish Automated Data Integrity

13. Contact Information
THANK YOU
Robert Joseph, Ph.D.
• LinkedIn: @drrobertjoseph
• Email: Robert@vizmotion.com
(c) 2018 Robert Joseph, Ph.D.

14. Next Show Dec 4th
Hudson Grille
1st Tuesday every
Month
except January 8th
RLJProductions.com
(c) 2018 Robert Joseph, Ph.D.

15. Questions
(c) 2018 Robert Joseph, Ph.D.