CHANGING 'HOW WE WORK' - AI AND ML THE RISE OF EVERYTHING 'SMART' - BEYOND IOT
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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
AI Overlord
You
MUST!
You
DIDN’T!
DON’T forget!
Copyright © 2019 Pandera Systems 5
HOWEVER, it’s still OUR innovation
AI Overlord
You
MUST!
You
DIDN’T!
DON’T forget!
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We will NOT be controlled by Robots….
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.
7
What is Intelligence: The Skinny on “A I”
Artificial Intelligence Augmented Intelligence
• Self-sentient, • Requires outside
designed to think input.
on its own.
• Evolves via learning
• Teaches itself. VS loops and human
interaction.
• System-
generated • Intuitive
output. conversation.
• Systematic. • Environmental.
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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
We innovated more in 2018 with
technology solutions than we did
in the prior 2 decades.
• Knowledge curation AR
• Information dissemination IOT
• Automation of decisions
AI
• Everything ”As a Service”
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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
Synthesizing and Interwoven
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.
14Obstacle - Connected and Distracted
Copyright © 2019 Pandera Systems 15Innovator's Dilemma
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.
Data Sciences has a much bigger and
more important role than we think
Copyright © 2019 Pandera Systems 16The Issue
90%
of Organizations have a BI
programs.
80
Less than 5% put this knowledge in
60 all employees hands at the rate that
benefits their processes now,
40 functions, or changes how WE
WORK.
20
Less than 1% use their employees
0
devices as knowledge collection-
points or conduits to feed insights bi-
Analytics IoT AI
directionally.
17We are facing with cognitive overload
Inefficient collation of knowledge points. Interweaving of emerging technology derails focus.
VS
18Recalibrate how we plan, solve, use, and evolve
VS
1. Most AI and ML programs innovation are “aim and With today’s technology, our minds, and
fire”. emerging platforms our research,
2. Fire fights often drives change in focus and impact assessments, planning, and simulation that
depth of DS longer term innovation. result in impactful business strategy change
3. Results in too many DS point solutions and limited
should be faster and with less friction.
self-evolving methods.
Copyright © 2019 Pandera Systems 19Having a method and a plan doesn’t mean
success.Typical method for AI/ML Solutions
One time or Repeated task (pending
infrequent Repeated
validation from EDA
task Task
phase)
Current State Exploratory Productionalizati
Assessment Data Analysis on of Findings
Understand business Define scope of Build AI/DS science
need analysis services
Document current Expose key Provide maintenance,
state architecture characteristics of data monitoring, and
support
Document Data Validate findings with
Science Architecture SMEs Create documentation
Gain access to IT Design data stream
systems plan
21Typical method for AI/ML Roadmaps
One time or Repeated Repeated task (pending
infrequent task Task validation from EDA phase)
YES!!!
Current State Exploratory Productionalizati Buy me!
Assessment Data Analysis on of Findings
Understand business Define scope of Build data science
need analysis service
Document current Expose key Provide maintenance,
state architecture characteristics of data monitoring, and
support
Document Data Validate findings with
Science Architecture SMEs Create documentation
Gain access to IT Design data stream
systems plan
Narrow
Layers of team Disjointed roles and Imperfect research Impractical mass
focus use
abstraction layers stack consumption format
plan
Slow to move, lift in organizational intelligence is momentary, mostly point in timeTech Clutter – WHY?
23DS Must become ’Smart’ to overcome being shifted
‘Innovative to Stasis’
Can’t find it Too Much of it Its in too many places
24Tooling, role, research boundaries vs focuses on
outcome.
Innovation Stasis Irrelevance
Cutting edge technology, wide Maintenance and cautious growth, Stagnation or gradual decline, heavy
open innovation, no rules, gradual governance, slowed innovation process limiting progress, paralysis by
boundless solutions and limitless and limited advancement. analysis, sluggish to respond, belabored
problem solving, planting seeds. and slow delivery.
• Incremental Change
• Step Changes • Red Tape
• Predictability
• Significant Growth • Bureaucracy
• Limited Innovation
• Marketplace Disruption • Group Think
Copyright © 2019 Pandera Systems 25Programs must shift the way we solution and deliver
Solves a particular Every AI solution is a feature to
topic. Typically a fire solve the problem and is part of a
or emerging issue bigger accessible and repeatable
ecosystem.
Toda Tomorrow
y
Point and time Forging Sustainable
‘Smarts’
We innovate with DS, but we need to address the
root of the problem. Frequency, availability, with
context, and for everyone.
26Did You Know?
• 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 27Building Blocks of a ROI Rich
AI and ML program that
alters work process design
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You MUST have a bigger and purposeful mandate beyond silo’s of tech.
• 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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Your mandate needs
to advance the 6
pillars of ‘analytics
maturity’.
NOT just solve
outcome focused
problems.
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You MUST have a hyper adaptive engagement model that builds the
roadmap out of PUSH AND PULL engagement methods.
PRODUCTIONIZE
AI/Data Science
PUSH productionizes use cases that
AI/Data Science experiments are used by external parties
with data and generates use for frictionless relationships
PULL cases.
AI/Data Science works on use
cases identified by the
business.
Data Science team engagement model
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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.
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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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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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Realize every Data Science solution has 50
Broader Accessibility
more uses and opens the door for emerging and AI Based
‘Assistant Based’ Distribution of
data and smarter data systems AI like
Analytics
Knowledge.
Increase Measurement
Frequency. RT Enabled.
Value and Larger
User Populations
Feedback loops feed Big Data Powered.
learning
Common Measures/Models Smarter more human Systems can suggest
like data affects
Enable closed Loop
models
collaboration between
business to capture causality
Simple, but broadly and emerging knowledge
available Measurement
system or Models Competitive Watermark
Relate BI self service
assets to variations in
measurement system and
models
| 357
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
Digital Knowledge Digital Experience
• Business Measurements
• Dashboards and performance results
• Reports • Action Plans around
• Measurements Measurement Variation.
• Patterns • Observed Changes in
ML/Predictive/Prescripti Analytical Patterns or
ve outputs & Models as Business Performance
a Service and correlated human
reaction.
Results or expected The meaning of good
results and what we did
368
Solution each item on the roadmap with the end in mind. Individual solutions, when
combined, create hyper smart an efficient exploratory data tools.
AI
Analytical Brain
Learning Loop
Observed Intuition
Elective Evolution
Copyright © 2019 Pandera Systems 379 If you do, you WILL change ‘how we work’
I can help you
use at scale
and tune this!
Solve
Invent
Create
Copyright © 2019 Pandera Systems 38Community accelerated insights. Crowd sourced intelligence
refinement is fastest
Advanced Algorithms The Human Factor
Subject matter experts,
Advanced analytical models experienced, meaningful context,
provide direction at scale. rapid accurate results.
39Example of Composite ‘Smart’ Solutions
Advanced Analytics: ‘Smart’ Enabled Apps
Constant Coaching
Awareness & Options
41Advanced Analytics: ‘Smart’ Enabled Apps
Reporting and Analytics Decision Models and Outcomes
42Augmented Reality - A New Dimension Analytics
44IoT Meets Progressive Analytics
Diagnose
system failures
Non-Acute/
Trend Detection
Acute
Event Detection
45IoT Meets Progressive Analytics – Use Case
By comparing acute and non-
acute event detection to the failure
Diagnose modes matrix, we can diagnose
failures and provide calls-to-action
system failures that are easier for contractors to
understand.
Rolling windows are compared to
determined whether more recent
Non-Acute/ data is showing significant
Trend Detection 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
Acute metric, for each system, and at
various ambient temperatures. The
Event Detection inbound data stream is compared to
these pre-calculated thresholds to
identify anomalies.
46Analytics, IoT, and Augmented Reality
Combining Technologies Seamlessly
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
47 47Use Case Deep Dive
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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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!!!!
Joshua.sutton@panderasystems.com
407-529-5090
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