SlideShare a Scribd company logo
Lean AI
Automate routine, make space to innovate
Philosophie & Studio VV6
What is Lean AI?
• Current technology stacks are getting more and more
powerful – there is a lot more we can do with legacy
software and data
• We’re thinking about a new perspective that affects
the entire operation - from data to machine to people
and delivers more value from your existing systems
Philosophie & Studio VV6
What is the narrowest
task you can automate?
Consider
Philosophie & Studio VV6
First, data
It’s not only 1’s and 0’s
Philosophie & Studio VV6
Data are facts, such as names or numbers. If sensors
are collecting these, there are electronic impulses
when something happens when something moves.
Information is slightly different in that it
combines various data to say something
that the data alone can’t say. For
instance, data on our spending habits
tell us about our financial behavior and
about our patterns of expenditures–that
is information, not just groups of
unrelated numbers.
Source: Information and the Modern Corporation, James W Cortada, MIT Press
step 1
step 2
Philosophie & Studio VV6
Knowledge is more complicated than data or
information because it combines data,
information and experiences from logically
connected groups of facts (such as budget
data from a department) with things that
have no direction or obvious connections
(such as previous jobs and experiences).
Then there is wisdom: the
ability to make sense of data,
information, and knowledge
in ways that are relevant to
the organization.
Source: Information and the Modern Corporation, James W Cortada, MIT Press
step 3
step 4
Philosophie & Studio VV6
Data
Information
Knowledge
Wisdom
≠
≠
≠
ThickThin
Philosophie & Studio VV6
Data Utility
• An organization is a technological system comprised
of hardware, software and people
• What can be done to improve data utility?
• Creating thicker data will improve an organization’s
data utility: and create exponential marginal
utility for better decision making, productivity and
faster innovation cycles
Philosophie & Studio VV6
VV6 Philosophie
research, strategy, writing product workshops, prototyping
Kernel
Writing a plan
for what is ahead
Analog p/t
system thinking
hopefully with leadership
step 1
step 2
step 0
Philosophie & Studio VV6
VV6 Philosophie
research, strategy, writing product workshop, prototyping
Hypothesis &
Human-Machine 

System Design
Digital Prototyping
Contextual &
proprietary I.P.
Org’ Design & More
step 3
step 4
step 5
step 6 (optional)
Philosophie & Studio VV6
VV6 Philosphie
research, strategy, writing product workshop, prototyping
Contextual &
proprietary I.P.
Org’ Design & More
step 5
step 6
Philosophie & Studio VV6
Malcolm Frank, Paul Roehrig & Ben Pring. 

“What to Do When Machines Do Everything.”
“We think your baseline expectation should be cost
reductions of 25%, with an associated productivity
increase of 25%. Based on where the current average
is today (around 15%), and the productivity
improvement seen by some solutions (up to 90%),
this should be your achievable near-term rule of
thumb for initial robotic process automation efforts.”
The 25% - 25% Rule
Philosophie & Studio VV6
Philosophie is an agile product
consultancy with offices in LA,
New York, San Francisco and
Seattle
Philosophie
VV6 is a New York based
innovation consultancy and
research studio operating
between academia 

and industry.
VV6
We have worked together on a number of projects
and are excited to share more about this unique and
proprietary new offering.
philosophie.is vv6.co
emerson@philosophie.is x@vv6.co
Philosophie & Studio VV6

More Related Content

PPTX
NYC Open Data Meetup-- Thoughtworks chief data scientist talk
PPTX
Reproducible Dashboards and other great things to do with Jupyter
PDF
5 facets of cloud computing - Presentation to AGBC
PPTX
Managing Data Science | Lessons from the Field
PPTX
IT @ 2013
PPTX
Philips john huffman
PDF
Intro to Data Science for Non-Data Scientists
PPTX
Idiots guide to setting up a data science team
NYC Open Data Meetup-- Thoughtworks chief data scientist talk
Reproducible Dashboards and other great things to do with Jupyter
5 facets of cloud computing - Presentation to AGBC
Managing Data Science | Lessons from the Field
IT @ 2013
Philips john huffman
Intro to Data Science for Non-Data Scientists
Idiots guide to setting up a data science team

What's hot (20)

PDF
How to Build Successful Data Team - Dataiku ?
PPTX
Data Science Consulting at ThoughtWorks -- NYC Open Data Meetup
PPTX
Creating A Company Wide Data Science Learning Environment
PPTX
Keynote - An overview on Big Data & Data Science - Dr Gregory Piatetsky-Shapiro
PDF
Data Architecture: OMG It’s Made of People
PDF
How to build a data science team 20115.03.13v6
PPTX
Lifecycle of a Data Science Project
PPT
Ornl IT
PPTX
The Other 99% of a Data Science Project
PPTX
Machine Learning in Big Data
PDF
Data Scientist Enablement roadmap 1.0
PDF
Leveraged Analytics at Scale
PDF
Dataiku - data driven nyc - april 2016 - the solitude of the data team m...
PDF
Solve User Problems: Data Architecture for Humans
PPTX
5 ways to get more from data science
PDF
Data Analytics: From Basic Skills to Executive Decision-Making
PDF
Being the 1st Chief Data Officer of San Francisco City
PDF
Building a Data Platform Strata SF 2019
PPTX
A Hybrid Approach to Data Science Project Management
PDF
1. introduction to data science —
How to Build Successful Data Team - Dataiku ?
Data Science Consulting at ThoughtWorks -- NYC Open Data Meetup
Creating A Company Wide Data Science Learning Environment
Keynote - An overview on Big Data & Data Science - Dr Gregory Piatetsky-Shapiro
Data Architecture: OMG It’s Made of People
How to build a data science team 20115.03.13v6
Lifecycle of a Data Science Project
Ornl IT
The Other 99% of a Data Science Project
Machine Learning in Big Data
Data Scientist Enablement roadmap 1.0
Leveraged Analytics at Scale
Dataiku - data driven nyc - april 2016 - the solitude of the data team m...
Solve User Problems: Data Architecture for Humans
5 ways to get more from data science
Data Analytics: From Basic Skills to Executive Decision-Making
Being the 1st Chief Data Officer of San Francisco City
Building a Data Platform Strata SF 2019
A Hybrid Approach to Data Science Project Management
1. introduction to data science —
Ad

Similar to Lean AI: Automate routine, make space to innovate (20)

PDF
Lean AI - Automate Routine, make space to innovate
PDF
How to Prepare for a Career in Data Science
PDF
Success Through an Actionable Data Science Stack
PDF
Big Data LA 2016: Backstage to a Data Driven Culture
PDF
Agile data science
PPTX
Computer Applications and Systems - Workshop V
PPTX
Innovation med big data – chr. hansens erfaringer
PPTX
The Value of Pervasive Analytics
PPTX
Why Everything You Know About bigdata Is A Lie
PPTX
Workshop_Presentation.pptx
PDF
Nick Brown - Camp Digital 2016
PDF
Introduction-to-Data-Science.pdf
PDF
Introduction-to-Data-Science.pdf
PDF
Embracing data science
PPTX
Wearables Beyond the Drawer
PPTX
Big Data : From HindSight to Insight to Foresight
PDF
What Managers Need to Know about Data Science
PDF
Introduction to RPA and Document Understanding
PPTX
Bob Selfridge - Identify, Collect, and Act Upon Customer Interactions; Rinse,...
PPTX
Unlocking Big Data Insights
Lean AI - Automate Routine, make space to innovate
How to Prepare for a Career in Data Science
Success Through an Actionable Data Science Stack
Big Data LA 2016: Backstage to a Data Driven Culture
Agile data science
Computer Applications and Systems - Workshop V
Innovation med big data – chr. hansens erfaringer
The Value of Pervasive Analytics
Why Everything You Know About bigdata Is A Lie
Workshop_Presentation.pptx
Nick Brown - Camp Digital 2016
Introduction-to-Data-Science.pdf
Introduction-to-Data-Science.pdf
Embracing data science
Wearables Beyond the Drawer
Big Data : From HindSight to Insight to Foresight
What Managers Need to Know about Data Science
Introduction to RPA and Document Understanding
Bob Selfridge - Identify, Collect, and Act Upon Customer Interactions; Rinse,...
Unlocking Big Data Insights
Ad

Recently uploaded (20)

PPTX
ALIMENTARY AND BILIARY CONDITIONS 3-1.pptx
PPTX
Database Infoormation System (DBIS).pptx
PPTX
Introduction to Knowledge Engineering Part 1
PDF
Recruitment and Placement PPT.pdfbjfibjdfbjfobj
PPTX
Moving the Public Sector (Government) to a Digital Adoption
PPTX
Introduction-to-Cloud-ComputingFinal.pptx
PPTX
DISORDERS OF THE LIVER, GALLBLADDER AND PANCREASE (1).pptx
PPTX
Data_Analytics_and_PowerBI_Presentation.pptx
PDF
“Getting Started with Data Analytics Using R – Concepts, Tools & Case Studies”
PPTX
IBA_Chapter_11_Slides_Final_Accessible.pptx
PPTX
iec ppt-1 pptx icmr ppt on rehabilitation.pptx
PPTX
Business Ppt On Nestle.pptx huunnnhhgfvu
PDF
Lecture1 pattern recognition............
PPTX
CEE 2 REPORT G7.pptxbdbshjdgsgjgsjfiuhsd
PPTX
The THESIS FINAL-DEFENSE-PRESENTATION.pptx
PDF
22.Patil - Early prediction of Alzheimer’s disease using convolutional neural...
PPT
Quality review (1)_presentation of this 21
PPTX
IB Computer Science - Internal Assessment.pptx
PPT
Miokarditis (Inflamasi pada Otot Jantung)
PDF
Launch Your Data Science Career in Kochi – 2025
ALIMENTARY AND BILIARY CONDITIONS 3-1.pptx
Database Infoormation System (DBIS).pptx
Introduction to Knowledge Engineering Part 1
Recruitment and Placement PPT.pdfbjfibjdfbjfobj
Moving the Public Sector (Government) to a Digital Adoption
Introduction-to-Cloud-ComputingFinal.pptx
DISORDERS OF THE LIVER, GALLBLADDER AND PANCREASE (1).pptx
Data_Analytics_and_PowerBI_Presentation.pptx
“Getting Started with Data Analytics Using R – Concepts, Tools & Case Studies”
IBA_Chapter_11_Slides_Final_Accessible.pptx
iec ppt-1 pptx icmr ppt on rehabilitation.pptx
Business Ppt On Nestle.pptx huunnnhhgfvu
Lecture1 pattern recognition............
CEE 2 REPORT G7.pptxbdbshjdgsgjgsjfiuhsd
The THESIS FINAL-DEFENSE-PRESENTATION.pptx
22.Patil - Early prediction of Alzheimer’s disease using convolutional neural...
Quality review (1)_presentation of this 21
IB Computer Science - Internal Assessment.pptx
Miokarditis (Inflamasi pada Otot Jantung)
Launch Your Data Science Career in Kochi – 2025

Lean AI: Automate routine, make space to innovate

  • 1. Lean AI Automate routine, make space to innovate Philosophie & Studio VV6
  • 2. What is Lean AI? • Current technology stacks are getting more and more powerful – there is a lot more we can do with legacy software and data • We’re thinking about a new perspective that affects the entire operation - from data to machine to people and delivers more value from your existing systems Philosophie & Studio VV6
  • 3. What is the narrowest task you can automate? Consider Philosophie & Studio VV6
  • 4. First, data It’s not only 1’s and 0’s Philosophie & Studio VV6
  • 5. Data are facts, such as names or numbers. If sensors are collecting these, there are electronic impulses when something happens when something moves. Information is slightly different in that it combines various data to say something that the data alone can’t say. For instance, data on our spending habits tell us about our financial behavior and about our patterns of expenditures–that is information, not just groups of unrelated numbers. Source: Information and the Modern Corporation, James W Cortada, MIT Press step 1 step 2 Philosophie & Studio VV6
  • 6. Knowledge is more complicated than data or information because it combines data, information and experiences from logically connected groups of facts (such as budget data from a department) with things that have no direction or obvious connections (such as previous jobs and experiences). Then there is wisdom: the ability to make sense of data, information, and knowledge in ways that are relevant to the organization. Source: Information and the Modern Corporation, James W Cortada, MIT Press step 3 step 4 Philosophie & Studio VV6
  • 8. Data Utility • An organization is a technological system comprised of hardware, software and people • What can be done to improve data utility? • Creating thicker data will improve an organization’s data utility: and create exponential marginal utility for better decision making, productivity and faster innovation cycles Philosophie & Studio VV6
  • 9. VV6 Philosophie research, strategy, writing product workshops, prototyping Kernel Writing a plan for what is ahead Analog p/t system thinking hopefully with leadership step 1 step 2 step 0 Philosophie & Studio VV6
  • 10. VV6 Philosophie research, strategy, writing product workshop, prototyping Hypothesis & Human-Machine 
 System Design Digital Prototyping Contextual & proprietary I.P. Org’ Design & More step 3 step 4 step 5 step 6 (optional) Philosophie & Studio VV6
  • 11. VV6 Philosphie research, strategy, writing product workshop, prototyping Contextual & proprietary I.P. Org’ Design & More step 5 step 6 Philosophie & Studio VV6
  • 12. Malcolm Frank, Paul Roehrig & Ben Pring. 
 “What to Do When Machines Do Everything.” “We think your baseline expectation should be cost reductions of 25%, with an associated productivity increase of 25%. Based on where the current average is today (around 15%), and the productivity improvement seen by some solutions (up to 90%), this should be your achievable near-term rule of thumb for initial robotic process automation efforts.” The 25% - 25% Rule Philosophie & Studio VV6
  • 13. Philosophie is an agile product consultancy with offices in LA, New York, San Francisco and Seattle Philosophie VV6 is a New York based innovation consultancy and research studio operating between academia 
 and industry. VV6 We have worked together on a number of projects and are excited to share more about this unique and proprietary new offering. philosophie.is vv6.co emerson@philosophie.is x@vv6.co Philosophie & Studio VV6