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

More Related Content

Similar to The Evolution of Analytics in Organizations

More from Einat Shimoni

Recently uploaded

The Evolution of Analytics in Organizations