This document summarizes Satyendra Rana's presentation at the ISE GRS Symposium on April 1, 2016 about his experiences with research, innovation, and entrepreneurship. It discusses his curiosities over the years related to centralized control in groups, essential business capabilities, and whether analytics and semantics compete or complement each other. It also covers topics like distributed systems, modeling businesses as self-stabilizing systems, and combining analytics and semantics. Throughout the presentation, Rana emphasizes connecting ideas and taking a cognitive approach to analytics to drive opportunities.

1. ISE GRS Symposium – April 1, 2016
MY EXPERIENCES WITH
RESEARCH, INNOVATION, & ENTREPRENEURSHIP
SATYENDRA RANA
CTO - LOVEN SYSTEMS
APRIL 1, 2016
“I am not that much knowledgeable but I know how to
access and process knowledge effectively.”

2. ISE GRS Symposium – April 1, 2016
1. Should I make an Apple pie !
2. Ignore – Preoccupied with Oranges!
3. Wonder why Apple didn’t rise up to the sky!
Curiosity
“Curiosity firms up
Learning Intention”.
2SATYENDRA RANA

3. ISE GRS Symposium – April 1, 2016My curiosities over the years
• Is some form of centralized control
essential for achieving collective goals
in a group?
1975
• If I have to single out one capability
that is essential for a business to
succeed, what would that be?
2005
• Do Analytics & Semantics approaches
compete or complement each other?2012
3SATYENDRA RANA

4. ISE GRS Symposium – April 1, 2016Connecting the Dots – Control Structures
Self-
Determination
Distributed
Problem
Solving
Multi-Agent
Systems
Distributed
Artificial
Intelligence
Distributed
Decision
Making
Cognitive Models of Cooperative work
Distributed
Operating
Systems
Distributed
Algorithms
Fully Symmetric
Distributed Algorithms
Distributed
Databases
Diffusing
Computations
Self-StabilizingSystems
4SATYENDRA RANA

5. ISE GRS Symposium – April 1, 2016Connecting the Dots – Modelling a Business Enterprise
5
SATYENDRA RANA

6. ISE GRS Symposium – April 1, 2016
6
Diffusing Computations to Diffusing Situations
Business as a Self-Stabilizing System
1. Monitor (ripple causing) Situations
2. Take actions to diffuse ripples
Opportunity Driven Enterprise
SATYENDRA RANA

7. ISE GRS Symposium – April 1, 2016
7
Connecting the Dots – Analytics & Semantics
System
of
Interest
LearningSemantics
Use Ontology
to Resolve
Questions
New
Scenario
Datasets
Learning
Use Models to
Resolve Questions
Analytics
Automated Ontology Creation
SATYENDRA RANA

8. ISE GRS Symposium – April 1, 2016So far ..
8
“A man should live if only to satisfy his curiosity”
– Yiddish Proverb
“God favors those who connect the dots”
SATYENDRA RANA

9. ISE GRS Symposium – April 1, 2016
9
Creativity
“ .. ability to make or bring into existence something new.”
“ .. ability to transcend traditional ideas, rules, patterns and
relationships to create meaningful new ideas ....”
“ .. Imaginative activity fashioned so as to produce
outcomes that are both original and of value....”
Creativity
cannot exist
without a
context.
• Remove a Constraint
• Assume Risk
SATYENDRA RANA

10. ISE GRS Symposium – April 1, 2016
10
Creativity in Context
Computer Systems
How to provide computational
scalability without degrading
performance?
Symmetric
Distributed
Computing
Big Data Systems
• Hadoop
• Spark
• Cassandra
Business Systems
How to survive & grow in a
highly dynamic environment?
Business Agility as
the Dominant
Perspective
Opportunity Driven Management
• Sense Opportunities
• Explore Strategies
• Act & learn
Business Analytics
How to make it easy for
business users to incorporate
analytics into their day-to-day
decision making?
Combining
Semantics with
Analytics
Cognitive Analytics
• Business User Empowerment
• Alerting in time
• Advisory
SATYENDRA RANA

11. ISE GRS Symposium – April 1, 2016So far ..
11
“A man should live if only to satisfy his curiosity”
– Yiddish Proverb
“God favors those who connect the dots.”
“ ’Value’ has to be verifiable to be any value.”
SATYENDRA RANA

12. ISE GRS Symposium – April 1, 2016
CONFLUENCE
1
Curiosity
2
Connecting
3
Creativity
4
Courage
5
Clarity
6
Capital
Other ‘C’ s
12
“ Many fear success more than failure because
success has a higher disruptive potential.”
SATYENDRA RANA

13. ISE GRS Symposium – April 1, 2016
SATYENDRA RANA 13
Data Driven
(Naïve Approach)
• Starts with Data
• First Milestone - Data Lake
• Embellish by Data Visualization
• User must understand Data
• User reaches out to System
(Discovery)
• Produce Analytics
• Develop Data Strategy (CDO)
Opportunity Driven
(Cognitive Approach)
• Starts with Value
• First Milestone – Opportunities Flow
• Embellish by Natural Language
Interaction
• System understands Data
• System reaches out to User
(Guidance)
• Consume Analytics
• Develop Opportunity
Management Strategy (COO)
Opportunity Driven Enterprise – What is different?

14. ISE GRS Symposium – April 1, 2016
SATYENDRA RANA
14
DIWO’ism
 Capture Data with a Purpose (Opportunity Driven)
“Ask not what data can do for you,
ask what you can do if you have the data”
 Don’t wait for perfect data (Evolutionary)
 Real world is messy, so is its data trail. Let it not be an excuse
for inaction.
 One can start with partial and messy data & improve over time
 No need to re-learn what is known to work well (Knowledge-
Based & Contextual)
 (Semantics + Analytics) is much larger than the sum of its
parts.
 Trust can trump Quality (Empowering)
 A system with high quality may not be adapted for lack of trust
in its working
 Building trust is usually cheaper than perfection
 Let machine wake you up, then vice versa (Preventive)
 When in doubt, ask the machine. When you doubt the machine,
ask for evidence (Conversational)
DIWO® -Cognitive Analytics Solutions Platform by Loven Systems