1. David Gillman Collaborative Metrix
Understanding Artificial Intelligence AI The Next Step In Your Analytics Journey
David Gillman
Collaborative Metrix
Property of Collaborative Metrix
“Helping our collaborative team of customers and partners use technology as a competitive weapon”

2. First Problem – What is AI?
Artificial Intelligence term created by professor – in 1955!
“Any computing process that mimics human cognitive function such as learning or problem solving.”
AI is the future and always will be – but not for why you think

3. Other Common Terms
Machine learning
Predictive analytics
Deep Learning

4. Graphical Relationship
Artificial Intelligence
Machine Learning
Deep Learning
Artificial Intelligence
Machine Learning
Deep Learning

5. Speaking of Predictive Analytics
Four phases of analytics
Source: Gartner (March 2012)

6. Revised View
Source: Gartner (October 2014)

7. Roadblocks being Removed
Computing Power
Processors, memory, software…
Communications
Cloud, APIs, database queries…
Understanding through familiarity
Pervasiveness of discussion – hype, news articles and advertising…

8. Process Understanding
Data
Algorithms
Tools
Regression
Classification
Clustering
Association …
Output
Predictions
Actions
Causes
Being Used By People

9. Artificial Hype
Peak Hype – Getting closer to when reality matches expectations
Note that mainstream adoption is projected in 2-5 years. Compared to most other technologies on this chart, the time curve for machine learning adoption is shorter.
Source: Gartner Infographic July 2017

10. Glossary (Highly Abridged)
Data Scientist
Plays with data for money and glory
Machine Learning Engineer
Exemplifies the confusion – Either…
an ultra high level coder creating and implementing new algorithms or,
IT focused person connecting services to end uses
Cognitive Services
Hosted AI models such as facial recogntion
NLP – Natural Language Processing
Chatbots, website interactivity, customer service front ends
MLaaS – Machine Learning as a Service
AWS, Microsft Azure, IBM Watson, Google Tensor Flow

11. It Is Coming Management/Technology Consulting Projects
Targeted processes
Industry Analytics Services
Data science on retainer
Big Data Services
Targeted IoT data streams
ERP/CRM/Other
New releases, function upgrades

12. Entry Point: Management/Technology Consulting
Big Projects for Big Companies .
Just another consulting project

13. Entry Point: Industry Analytics Services
Lots of Data Coming Back at You
You need to integrate the insight into your processes

14. Entry Point: Big Data Services
Data Driven – Not Purpose Driven
Just because the data exists does not mean it has value

15. Entry Point: ERP/CRM/Other Enterprise Applications
Process Driven – Not Purpose Driven
Figure out how to use it yourself

16. First Steps Evaluate Current State Coming Functions in Owned Software
Any advanced analytics projects going on in isolated areas?
Coming Functions in Owned Software
Contact software vendors for detailed descriptions of current of future AI functions. Understand how much tweaking and experimenting is needed and possible.
Beware pretty descriptive analytics being passed off as predictive.
Market Trends
Monitor competitors adoption of AI.  Especially the giants in your industry.  They know the power and know they cannot compete without it.
Skills in house
Foundational education in concepts and terminology
Establish common language and level-set expectations

17. Collaborative Metrix 941.926.6040 www.collaborativemetrix.com
David Gillman –
Mike Blair –
“Helping our collaborative team of customers and partners use technology as a competitive weapon”