The document discusses the hype cycle of emerging technologies like XOps, AI/ML, and SIG and provides a path for personnel to navigate it. It describes the stages as technology trigger where broad exploration occurs, peak of inflated expectations where identification and a call for action happens, disillusionment where external ideas are considered, enlightenment which comes from personal experience and insights, and productivity where one recognizes their own skills and opportunities. It suggests channeling excitement during the trigger, articulating goals and problems during expectations, moving towards internal knowledge in disillusionment, applying insights in enlightenment, and recommending solutions based on self-experience in productivity.

1. Transformation by Self Exploration
… Road mapping Progress Paths …
Experience Living through the Hype Cycle
XOp’s
AI/ML
SIG

2. XOps, AI/ML, SIG
Personnel Path
Technology Trigger – External Excitation ( Infancy)
•Broad Effort exploration of Landscape, Where , What ?
Peak of Inflated Expectation – Identification (Teen )
•Deep Identification, Call for Action
Disillusionment – External Ideas ( Early Adulthood)
•How, Which, Algorithmic Insights
•Requires lot of dedication and individual commitment
•Hard to come by
Enlightenment – Established in Practice ( Mid Life)
•One must go through journey of Disillusionment and gather self driven insights
•Can’t be Taught/Inducted
Productivity – Dwelling in One’s own Space ( Effortless Living )
•When one discover, recognize, mapping one own skills and opportunity.
• Where every Individual is ?
• What every Individual Seeks ?
• What are their Drives/Motives ?
• How to Conceptualize Journey in SIG to traverse through
the Hype Cycle?

3. XOps, AI/ML, SIG
Personnel Path
Technology Trigger – Excitation
•More so Linguistic and Resonating Emotional Impressions, Purpose,
Meaning
•If the subject was called “Information Encoding” how may would
have responded and how? As compared to Artificial General
Intelligence?
Channelize - Excitation
•Build Clarity on What it is or not ?
•What/Where has been accomplished or not, Sate of Art ?
•Educate upon High Level Limitations ?
•Adversarial
•No need to Understand HOW its accomplished
•Survey

4. XOps, AI/ML, SIG
Personnel Path
Expectation - Identification
• Call for action is always driven by something
more external and superlative than oneself,
progression, role plays, career, or something
new or different, unexplored experiences
Articulate - Identification
• What projects they would like to Build ?
• What problem they would like to solve ?
• What value they aspire to create ?

5. XOps, AI/ML, SIG
Personnel Path
Disillusionment – External Knowledge
•Disbelief, Curious, Doubt, Drive to make it Happen, What else can
be done?
Move Towards Internal Knowledge
•Insights into Algorithms, Data, Pattern Etc, Modelling
•From Black Box to Grey Box
•Fundamental Discrimination
•Focus is on HOW, Feasible or Not, etc
•Unsolved Problems, ( Be it BIAS, Non IID, Generalization, Fair etc )

6. XOps, AI/ML, SIG
Personnel Path
Enlightenment – Quest
• Comes out of Firsthand Experience, following
one’s own insights, one’s own efforts
• Not by hearing or following any expert advise
Apply Insight
• Build something, at least some theme
• What is the Insight and How it can map to XOP’s

7. XOps, AI/ML, SIG
Personnel Path
Productivity – Quest
• Build upon Self Experience
• Recognize Needs, Frame of Problems
Solutioning
• Recommend what can possibly work
• It need not solve the problem, it can be a
step forward

8. Back Up My Thoughts – Scenario Mapping Exercise – For Brainstroming
AI/ML Limitations – Customer Concerns Mappings – XOP’s Recommendations
Customer deploys language
processing.
Can we have a Framework for
Adversarial Test?
Customer has concerns over
new data affected past
classification?
Can we have an Assurance over
a Classifier with Incremental
Data?
Customer has concerns over
evolution?
Can we have an Assurance over
a Classifier with Incremental
Classes?
Customer wants for audit trail,
regulation.
Can we have an Acute
Versioning ?
Customer wants to Re-Map
from Originally Trained class to
new class, fix error
Can we specifically Re-MAP
Data classification?
Customer wants to know what
are all vulnerable ?
Can we have a way to discover
the Vulnerability ?