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AI and ML
The rise of everything ‘smart’changing ‘how we work’
Three statisticians went out hunting, and came across a large deer.
1. The first statistician fired, but missed, by a meter to the left.
2. The second statistician fired, but also missed, by a meter to the right.
The third statistician didn’t fire, but shouted in triumph…
“On the average we got it!”
Before we get started…
The most important thing….
AI is at the top of EVERY discussion
Copyright © 2019 Pandera Systems 5
AI Overlord
You MUST!
DON’T forget!
You DIDN’T!
HOWEVER, it’s still OUR innovation
Copyright © 2019 Pandera Systems 6
AI Overlord
You MUST!
DON’T forget!
You DIDN’T!
We will NOT be controlled by Robots….
7
Innovation will change how we live, work, and learn.
Innovation will alter our understanding of business, how it operates, and define new meanings of success.
What is Intelligence: The Skinny on “A I”
Copyright © 2019 Pandera Systems 8
Augmented IntelligenceArtificial Intelligence
VS
• Self-sentient, designed to think on its own.
• Teaches itself.
• System-generated output.
• Systematic.
• Requires outside input.
• Evolves via learning loops and human interaction.
• Intuitive conversation.
• Environmental.
Despite all that, human ingenuity IS our
competitive advantage…
• It isn’t a feature• It isn’t a pattern• It isn’t math• It isn’t software• It isn’t ARTIFICIAL
• It IS free
• Its Under leveraged
Innovative tech is converging fast
Copyright © 2019 Pandera Systems 10
We innovated more in 2018 with technology solutions than we did in the prior 2 decades.
• Knowledge curation
• Information dissemination
• Automation of decisions
• Everything ”As a Service”AI
IOT
AR
How we leverage it all together is not well defined.
What’s Beyond IoT?
Synthesis and Interwoven Tech
Unlimited Potential/Immature Plans
Evolution of Analytics - The Foundation
14
A community of devices that contain a certain level of intelligence and learns from the ecosystem and its environment benefiting the quality of life, how a business
functions, and even how we learn.
Synthesizing and Interwoven
Obstacle - Connected and Distracted
Copyright © 2019 Pandera Systems 15
Knowledge as a Service doesn’t exist.
It’s still difficult to get and spreads slowly, or doesn’t spread at all.
Information needs to reach everyone in context at a much higher velocity.
Innovator's Dilemma
Copyright © 2019 Pandera Systems 16
Data Sciences has a much bigger and more important role than we think
17
90%of Organizations have a BI
programs.
Less than 5% put this knowledge in
all employees hands at the rate that
benefits their processes now,
functions, or changes how WE
WORK.
Less than 1% use their employees
devices as knowledge collection-
points or conduits to feed insights bi-
directionally.Analytics IoT AI
80
60
0
20
40
The Issue
We are facing with cognitive overload
18
Inefficient collation of knowledge points.
VS
Interweaving of emerging technology derails focus.
Recalibrate how we plan, solve, use, and evolve
Copyright © 2019 Pandera Systems 19
VS1. Most AI and ML programs innovation are “aim and
fire”.2. Fire fights often drives change in focus and impact
depth of DS longer term innovation.3. Results in too many DS point solutions and limited
self-evolving methods.
With today’s technology, our minds, and emerging platforms our research, assessments, planning, and simulation that result in impactful business strategy change should be faster and with less friction.
Having a method and a plan doesn’t mean success.
Typical method for AI/ML Solutions
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Current State Assessment
Exploratory Data Analysis
Productionalization of Findings
Understand business need
Document current state architecture
Document Data Science Architecture
Gain access to IT systems
Define scope of analysis
Expose key characteristics of data
Validate findings with SMEs
Design data stream plan
Build AI/DS science services
Provide maintenance, monitoring, and
support
Create documentation
One time or infrequent
taskRepeated
Task
Repeated task (pending validation from EDA
phase)
Typical method for AI/ML Roadmaps
Current State Assessment
Exploratory Data Analysis
Productionalization of Findings
Understand business need
Document current state architecture
Document Data Science Architecture
Gain access to IT systems
Define scope of analysis
Expose key characteristics of data
Validate findings with SMEs
Design data stream plan
Build data science service
Provide maintenance, monitoring, and
support
Create documentation
One time or infrequent task
Repeated Task
Repeated task (pending validation from EDA phase)
Narrow focus use
plan
Impractical mass consumption format
Disjointed roles and layers
Layers of team abstraction
Imperfect research stack
YES!!!Buy me!
Slow to move, lift in organizational intelligence is momentary, mostly point in time
Tech Clutter – WHY?
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Can’t find it Too Much of it Its in too many places
DS Must become ’Smart’ to overcome being shifted ‘Innovative to Stasis’
Cutting edge technology, wide open innovation, no rules, boundless solutions and limitless problem solving, planting seeds.
• Step Changes
• Significant Growth
• Marketplace Disruption
Tooling, role, research boundaries vs focuses on outcome.
Copyright © 2019 Pandera Systems 25
Innovation IrrelevanceStasis
Maintenance and cautious growth, gradual governance, slowed innovation and limited advancement.
• Incremental Change
• Predictability
• Limited Innovation
Stagnation or gradual decline, heavy process limiting progress, paralysis by analysis, sluggish to respond, belabored and slow delivery.
• Red Tape
• Bureaucracy
• Group Think
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We innovate with DS, but we need to address the root of the problem. Frequency, availability, with
context, and for everyone.
Point and time Forging Sustainable ‘Smarts’
Solves a particular topic. Typically a fire
or emerging issue
Every AI solution is a feature to
solve the problem and is part of a bigger accessible and repeatable
ecosystem.
Today
Tomorrow
Programs must shift the way we solution and deliver
Did You Know?
Copyright © 2019 Pandera Systems 27
• The very most important input into Artificial Intelligence or Augmented Intelligence is the data sciences?
• It can play the same role to the brain of an AI identity as memories, experience, or knowledge. It’s just digitized!
Copyright © 2019 Pandera Systems 28
Building Blocks of a ROI Rich AI and ML program that
alters work process design
• Establish the Data Science & Innovation teams as a supporting, value-added partner to help business leaders achieve their goals, not just produce models, research, or new data.
• Leverage the foundations for Advanced Analytics that leads to expansive AI, including fully leveraging technology platforms and immersion capabilities.
• Pursue Analytics across a broad continuum, activated through building the foundations for analytics on strategy focused on outcome use cases to generate EBITDA.
• Develop proprietary predictive AND optimization solutions/features to improve how WE WORK.
• Collaborate with & educate various business functions around advanced analytics applications.
• Enable our organization to thrive in a new, interconnected marketplace, building capabilities and solutions to improve things like pricing, product recommendation and customer performance.
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1
You MUST have a bigger and purposeful mandate beyond silo’s of tech.
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1
Your mandate needs to advance the 6 pillars of ‘analytics maturity’.
NOT just solve outcome focused problems.
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PULLAI/Data Science works on use cases identified by the business.
PUSHAI/Data Science experiments with data and generates use cases.
PRODUCTIONIZEAI/Data Science productionizes use cases that are used by external parties for frictionless relationships
2
You MUST have a hyper adaptive engagement model that builds the roadmap out of PUSH AND PULL engagement methods.
Data Science team engagement model
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3
You MUST have VERY clear focus areas derived from your engagement model in business terms. Use a unit of measure we all understand to describe the benefit (e.g. EBITDA).
Example Data Science Team Roadmap Item Summary and Value Alignment for planning with the business.
Copyright © 2019 Pandera Systems 33
4
You MUST must break down the barriers between Data Sciences, Technologist, and the business with approaches and communications everyone understands by mastering each domain.
What do you mean data scientist are business strategists,
technologist, wield emerging technology, and are AGILE?
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5
Perfect isn’t best. Almost done isn’t useful. Use research and clear/frequent communication to educate, align, and find value routes faster. Not everything is an SDLC.
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Simple, but broadly available Measurement system or Models
Relate BI self service assets to variations in measurement system and models
Enable closed Loop collaboration between business to capture causality and emerging knowledge
Smarter more human like data affects models
Systems can suggest
Broader Accessibility
and AI Based
Distribution of
Knowledge.
Competitive Watermark
Increase Measurement Frequency. RT Enabled.
Big Data Powered.
Valu
e a
nd
Larg
er
Use
r Po
pu
latio
nsCommon Measures/Models
Feedback loops feed learning
‘Assistant Based’ AnalyticsAI like
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Realize every Data Science solution has 50 more uses and opens the door for emerging data and smarter data systems
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• Business Measurements and performance results
• Action Plans around Measurement Variation.
• Observed Changes in Analytical Patterns or Business Performance and correlated human reaction.
• Dashboards• Reports• Measurements• Patterns
ML/Predictive/Prescriptive outputs & Models as a Service
The meaning of good and what we did
Results or expected results
Digital Knowledge Digital Experience
7
Realize that every input, output, or result is usable in the greater quest of Knowledge as a Service and it will be Data Scientists that breathe life into broader AI to the enterprise
Copyright © 2019 Pandera Systems 37
AI
Analytical Brain
Learning Loop
Observed Intuition
Elective Evolution
8
Solution each item on the roadmap with the end in mind. Individual solutions, when combined, create hyper smart an efficient exploratory data tools.
Copyright © 2019 Pandera Systems 38
If you do, you WILL change ‘how we work’
I can help you use at scale
and tune this!
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Solve Invent Create
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Subject matter experts, experienced, meaningful context, rapid accurate results.
Advanced Algorithms The Human Factor
Community accelerated insights. Crowd sourced intelligence refinement is fastest
Advanced analytical models provide direction at scale.
Example of Composite ‘Smart’ Solutions
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Advanced Analytics: ‘Smart’ Enabled Apps
Constant
AwarenessCoaching
& Options
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Advanced Analytics: ‘Smart’ Enabled Apps
Reporting and Analytics Decision Models and Outcomes
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Augmented Reality - A New Dimension Analytics
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IoT Meets Progressive Analytics
Diagnose
system failures
Non-Acute/
Trend Detection
Acute
Event Detection
46
IoT Meets Progressive Analytics – Use Case
Diagnose
system failures
Non-Acute/
Trend Detection
Acute
Event Detection
By comparing acute and non-
acute event detection to the failure
modes matrix, we can diagnose
failures and provide calls-to-action
that are easier for contractors to
understand.
Rolling windows are compared to
determined whether more recent
data is showing significant
uptrending or downtrending. This is
used to identify changes that might
not get detected by analyzing only
short-term (acute) events.
An analytics application generates
thresholds off of recent data for each
metric, for each system, and at
various ambient temperatures. The
inbound data stream is compared to
these pre-calculated thresholds to
identify anomalies.
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1. Leadership analytics on listing
activity (digital and in person)
with data from IoT
1. Listings enriched with
augmented reality to help
improve or inspire with a new
dimension of creative assets
and its relation to hire closes
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Analytics, IoT, and Augmented Reality
Combining Technologies Seamlessly
Use Case Deep Dive
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Using Analytics, AI, and DS to Change how we work
To reimagine customer experience and reinvent with new possibilities, it’s imperative that we embed software enabled intelligence into integrated
products and services. It’s expected
How does a world’s leading hospitality company unleash the value trapped inside the ecosystem and realize these opportunities of consumer connectedness and their direct correlation to revenue streams?
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Copyright © 2019 Pandera Systems 54
Use More Data, Inspire More People, Be Better…
The future is about helping people be equipped and amazing not about people being replaced by robots.
Thank YOU!!!!
407-529-5090