The Evolution of Analytics in Organizations

STKI’s work Copyright@2016. Do not remove source or attribution from any slide, graph or portion of graph
1
How will Digital Transformation transform all of us
The Cognitive Era
AI technologies & their impact on
businesses, people and industries

2
Data is the new Oil

3

4
Just having a lot of data isn’t enough!

5
Only a fraction of your data is used

6
The Evolution of Analytics
1 2 3 4
Classic
BI/ DW
Data discovery
Analysis
Predictive
Analytics
Augmenting
Intelligence, ML
5
Autonomous
Decisions
“What happened?” “Why?” “What will happen?” “Help me to make
decisions”
“Make the
decision for me”
58% use 38% use76% use96% use ~12%?

7
Why are we still not in the autonomous stage?
AI Systems Still Demand Considered Design, Knowledge Engineering,
And Model Building
The goal of many AI systems is to have a functionally autonomous application.
But an AI system requires significant human effort to design, engineer the
knowledge that it represents, and build the models for taking inputs and executing
actions.
Source: Forrester AI Technologies Q12017

8
Artificial Intelligence is a VERY broad term

9
Analysis = human thinking?
No
Not yet
We are getting closer Neuron
The basic unit of the nervous system
A cell that carries messages between the
brain and other parts of the body
Deep Learning: a branch of machine
learning that is Inspired by the way
the brain works

10
Deep Learning
• Neural networks have a hidden layer and perform
“supervised” predictions (human intervention)
• Deep Learning Neural Networks – have more
hidden layers and can perform “unsupervised” tasks
like feature extraction & image recognition

11
Worldwide adoption of AI
2018 2016
62%
38%
Source: Narrative Science: Outlook on AI in the Enterprise 2016

12
The benefits of using AI
Liberate &
Simplify
Scale Self Correct
43%
36%
Amplify Human
Intelligence
Liberate employees
from banal tasks;
Overcome info.
overload
Robotic processes
for self-healing and
self correcting
systems

13
Data is the new Oil
AI

14
Source: CB Insights

15
STKI’s work Copyright@2016. Do not remove source or attribution from any slide, graph or portion of graphSource: CB Insights

16
STKI’s work Copyright@2016. Do not remove source or attribution from any slide, graph or portion of graphhttp://www.thread.it/top-10-hot-artificial-intelligence-ai-technologies/
What’s holding AI adoption back?

17
http://www.kdnuggets.com/2016/06/r-python-top-analytics-data-mining-data-science-software.html/2
18% use DL (up 200%)
Gartner: By 2018 DL will become a
standard component in 80% of Data
Scientists’ toolbox
Source: KDNuggets

18
NLG: Data Storytelling
Producing text (narrative insights) from computer data
Currently used in customer service, report generation, and
summarizing business intelligence insights.

19
The Evolution of Data Storytelling
1 2 3 4
Traditional
Reporting
Data
visualization &
Discovery
Predictive
Analytics
AI/ML
generated
stories
5
Natural Language
Generation
Story is
subject to
interpretation
The rise of data
storytelling
Better stories
Help me understand
what is the
underlying story?
Tell me the story

20
Bottom Lines:
• AI will impact people, workplace, customers,
efficiency, revenues, businesses and industries!
• Human + AI = best!
• Narrower use cases yield better results
• Look at areas of the company that have large
data sets but lack analytics (Gartner)

The Evolution of Analytics in Organizations

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