SlideShare a Scribd company logo
OMM Solutions
TECHtalks #18
1< OMM Solutions GmbH >
www.tech-talks.eu
Einmal im Monat ist TECHtalk Zeit! First come first served!
< OMM Solutions GmbH > 2
Talk: The possibilities of information that can be
extracted from seemingly simple data
Speaker: Olaf Horstmann
3< OMM Solutions GmbH >
• Data Science != Big Data != Machine Learning != AI
• Data Science = Extracting information from any data
• Big Data = TeraBytes to PetaBytes of data
• Machine Learning = Training algorithms to classify or predict specific data
• AI = Training an algorithm to make correct decisions on a wide range of different situations
• Data does not deliver “truth”
• Every piece of extracted information is just an assumption/thesis
4
...things to remember
Prequisit
< OMM Solutions GmbH >
Data from a fitness-tracker
5
Images by Strava; https://www.strava.com/heatmap#7.00/-120.90000/38.36000/hot/all
< OMM Solutions GmbH >
Runners
Data from a fitness-tracker
6< OMM Solutions GmbH >
Images by Strava; https://www.strava.com/heatmap#7.00/-120.90000/38.36000/hot/all
Cyclists
Data from a fitness-tracker
7< OMM Solutions GmbH >
Images by Strava; https://www.strava.com/heatmap#7.00/-120.90000/38.36000/hot/all
Sometimes they reveal streets that are not on the map ...
Data from a fitness-tracker
8< OMM Solutions GmbH >
Images by Strava; https://www.strava.com/heatmap#7.00/-120.90000/38.36000/hot/all
… somewhere in Afghanistan
Data from a fitness-tracker
9< OMM Solutions GmbH >
Images by Strava; https://www.strava.com/heatmap#7.00/-120.90000/38.36000/hot/all
Example: “Spiegel Mining” by David Kriesel
• 70.000 Spiegel Online articles
• time-frame ~2 years
• everything saved to a database
• analysis based on feature-extraction
Data Science on data from a news-website
10< OMM Solutions GmbH >
Quelle: http://www.dkriesel.com/spiegelmining
Step 1: Visualisation
Data Science on data from a news-website
11
Graphs by David Kriesel dkriesel.com
< OMM Solutions GmbH >
Step 2: “Trivial” derivations
Data Science on data from a news-website
12
Graphs by David Kriesel dkriesel.com
< OMM Solutions GmbH >
Step 2: “Trivial” derivations
Data Science on data from a news-website
13
Graphs by David Kriesel dkriesel.com
< OMM Solutions GmbH >
Step 3: More in depth analysis
Data Science on data from a news-website
14
Graphs by David Kriesel dkriesel.com
< OMM Solutions GmbH >
Step 4: Somewhat unrelated interpretations
Data Science on data from a news-website
15
Graphs by David Kriesel dkriesel.com
< OMM Solutions GmbH >
Step 5: Further unrelated interpretations
Data Science on data from a news-website
16
Graphs by David Kriesel dkriesel.com
< OMM Solutions GmbH >
Step 6: Combination of multiple datasources
Data Science on data from a news-website
17
Graphs by David Kriesel dkriesel.com; instagram.com; twitter.com
+
< OMM Solutions GmbH >
Data does not deliver “truth”
18
Remember
< OMM Solutions GmbH >
• Statistics have shown, that employees that used Chrome or Firefox performed better on
employment assessment metrics and stayed on longer than those who did not.
• => “Users of the Chrome and Firefox browsers are better employees.”
• The ones with “relatively feminine” names killed an average of 42 people, the ones with
“relatively male” name killed only 15 on average.
• => “Female-named hurricanes are more deadly.”
• American men 45 to 82 who skip breakfast showed a 27 percent higher risk of coronary heart
disease over a 16-year period.
• => “Skipping breakfast causes coronary heart disease”
...your turn to guess
Correlation != Causation
19
https://blogs.scientificamerican.com/guest-blog/9-bizarre-and-surprising-insights-from-data-science/
Correlation != Causation
20
Graphs by Tyler Vigen (http://www.tylervigen.com/spurious-correlations)
Correlation != Causation
21
Graphs by Tyler Vigen (http://www.tylervigen.com/spurious-correlations)
Correlation != Causation
22
Graphs by Tyler Vigen (http://www.tylervigen.com/spurious-correlations)
Vielen Dank für Eure Aufmerksamkeit!
23< OMM Solutions GmbH >
Ihr persönlicher Ansprechpartner
Fragen oder Interesse?
< OMM Solutions GmbH > 24
Olaf Horstmann
Technology & Innovation
OMM Solutions GmbH
Vor dem Lauch 4
70567 Stuttgart
Germany
oh@omm-solutions.de
+49 (0)711 75 86 46 04
25< OMM Solutions GmbH >
www.omm-solutions.de
OMM Solutions GmbH
Vor dem Lauch 4
70567 Stuttgart
Geschäftsführer
Martin Allmendinger
Malte Horstmann
Olaf Horstmann
Kontakt
Telefon: +49 711 6747 051-0
E-Mail: info@omm-solutions.de
Umsatzsteuer-ID: DE295716572
Sitz der Gesellschaft: Stuttgart
Amtsgericht Stuttgart, HRB 749562
Impressum

More Related Content

Similar to The possibilities of information that can be extracted from seemingly simpel data

DutchMLSchool. ML Business Perspective
DutchMLSchool. ML Business PerspectiveDutchMLSchool. ML Business Perspective
DutchMLSchool. ML Business Perspective
BigML, Inc
 
DutchMLSchool 2022 - Smart Safe Stadiums
DutchMLSchool 2022 - Smart Safe StadiumsDutchMLSchool 2022 - Smart Safe Stadiums
DutchMLSchool 2022 - Smart Safe Stadiums
BigML, Inc
 
9 Hyperion Performance Myths and How to Debunk Them
9 Hyperion Performance Myths and How to Debunk Them9 Hyperion Performance Myths and How to Debunk Them
9 Hyperion Performance Myths and How to Debunk Them
Datavail
 
Solve User Problems: Data Architecture for Humans
Solve User Problems: Data Architecture for HumansSolve User Problems: Data Architecture for Humans
Solve User Problems: Data Architecture for Humans
mark madsen
 
DMDW Lesson 04 - Data Mining Theory
DMDW Lesson 04 - Data Mining TheoryDMDW Lesson 04 - Data Mining Theory
DMDW Lesson 04 - Data Mining Theory
Johannes Hoppe
 
DataOps @ Scale: A Modern Framework for Data Management in the Public Sector
DataOps @ Scale: A Modern Framework for Data Management in the Public SectorDataOps @ Scale: A Modern Framework for Data Management in the Public Sector
DataOps @ Scale: A Modern Framework for Data Management in the Public Sector
TamrMarketing
 
Drawing Your career in business analytics and data science
Drawing Your career in business analytics and data scienceDrawing Your career in business analytics and data science
Drawing Your career in business analytics and data science
Data Science Thailand
 
The Journey to Big Data Analytics
The Journey to Big Data AnalyticsThe Journey to Big Data Analytics
The Journey to Big Data Analytics
Dr.Stefan Radtke
 
Shoutlet and IBM's Executive Social Marketing Summit
Shoutlet and IBM's Executive Social Marketing SummitShoutlet and IBM's Executive Social Marketing Summit
Shoutlet and IBM's Executive Social Marketing Summit
Shoutlet, a Spredfast Company
 
The 3 Key Barriers Keeping Companies from Deploying Data Products
The 3 Key Barriers Keeping Companies from Deploying Data Products The 3 Key Barriers Keeping Companies from Deploying Data Products
The 3 Key Barriers Keeping Companies from Deploying Data Products
Dataiku
 
A Practical Approach To Data Mining Presentation
A Practical Approach To Data Mining PresentationA Practical Approach To Data Mining Presentation
A Practical Approach To Data Mining Presentation
millerca2
 
Digital Transformation: How to Run Best-in-Class IT Operations in a World of ...
Digital Transformation: How to Run Best-in-Class IT Operations in a World of ...Digital Transformation: How to Run Best-in-Class IT Operations in a World of ...
Digital Transformation: How to Run Best-in-Class IT Operations in a World of ...
Precisely
 
Future se oct15
Future se oct15Future se oct15
Future se oct15
CS, NcState
 
Data Management: Case Study Presented @ Enterprise Data World 2010
Data Management:  Case Study Presented @ Enterprise Data World 2010Data Management:  Case Study Presented @ Enterprise Data World 2010
Data Management: Case Study Presented @ Enterprise Data World 2010
Jaime Fitzgerald
 
Big data and the data quality imperative
Big data and the data quality imperativeBig data and the data quality imperative
Big data and the data quality imperative
Trillium Software
 
DN 2017 | Data product discovery - The product perspective on digital transfo...
DN 2017 | Data product discovery - The product perspective on digital transfo...DN 2017 | Data product discovery - The product perspective on digital transfo...
DN 2017 | Data product discovery - The product perspective on digital transfo...
Dataconomy Media
 
InfoZoom Tips & Tricks – Part 7: Analysis of phone data via InfoZoom template
InfoZoom Tips & Tricks – Part 7: Analysis of phone data via InfoZoom templateInfoZoom Tips & Tricks – Part 7: Analysis of phone data via InfoZoom template
InfoZoom Tips & Tricks – Part 7: Analysis of phone data via InfoZoom template
corma GmbH
 
O365Engage17 - Black belting office 365 security with secure score
O365Engage17 - Black belting office 365 security with secure scoreO365Engage17 - Black belting office 365 security with secure score
O365Engage17 - Black belting office 365 security with secure score
NCCOMMS
 
Taming Big Data With Modern Software Architecture
Taming Big Data  With Modern Software ArchitectureTaming Big Data  With Modern Software Architecture
Taming Big Data With Modern Software Architecture
Big Data User Group Karlsruhe/Stuttgart
 
Smart Solutions: Data Analytics to Support Fraud Examinations
Smart Solutions: Data Analytics to Support Fraud ExaminationsSmart Solutions: Data Analytics to Support Fraud Examinations
Smart Solutions: Data Analytics to Support Fraud Examinations
corma GmbH
 

Similar to The possibilities of information that can be extracted from seemingly simpel data (20)

DutchMLSchool. ML Business Perspective
DutchMLSchool. ML Business PerspectiveDutchMLSchool. ML Business Perspective
DutchMLSchool. ML Business Perspective
 
DutchMLSchool 2022 - Smart Safe Stadiums
DutchMLSchool 2022 - Smart Safe StadiumsDutchMLSchool 2022 - Smart Safe Stadiums
DutchMLSchool 2022 - Smart Safe Stadiums
 
9 Hyperion Performance Myths and How to Debunk Them
9 Hyperion Performance Myths and How to Debunk Them9 Hyperion Performance Myths and How to Debunk Them
9 Hyperion Performance Myths and How to Debunk Them
 
Solve User Problems: Data Architecture for Humans
Solve User Problems: Data Architecture for HumansSolve User Problems: Data Architecture for Humans
Solve User Problems: Data Architecture for Humans
 
DMDW Lesson 04 - Data Mining Theory
DMDW Lesson 04 - Data Mining TheoryDMDW Lesson 04 - Data Mining Theory
DMDW Lesson 04 - Data Mining Theory
 
DataOps @ Scale: A Modern Framework for Data Management in the Public Sector
DataOps @ Scale: A Modern Framework for Data Management in the Public SectorDataOps @ Scale: A Modern Framework for Data Management in the Public Sector
DataOps @ Scale: A Modern Framework for Data Management in the Public Sector
 
Drawing Your career in business analytics and data science
Drawing Your career in business analytics and data scienceDrawing Your career in business analytics and data science
Drawing Your career in business analytics and data science
 
The Journey to Big Data Analytics
The Journey to Big Data AnalyticsThe Journey to Big Data Analytics
The Journey to Big Data Analytics
 
Shoutlet and IBM's Executive Social Marketing Summit
Shoutlet and IBM's Executive Social Marketing SummitShoutlet and IBM's Executive Social Marketing Summit
Shoutlet and IBM's Executive Social Marketing Summit
 
The 3 Key Barriers Keeping Companies from Deploying Data Products
The 3 Key Barriers Keeping Companies from Deploying Data Products The 3 Key Barriers Keeping Companies from Deploying Data Products
The 3 Key Barriers Keeping Companies from Deploying Data Products
 
A Practical Approach To Data Mining Presentation
A Practical Approach To Data Mining PresentationA Practical Approach To Data Mining Presentation
A Practical Approach To Data Mining Presentation
 
Digital Transformation: How to Run Best-in-Class IT Operations in a World of ...
Digital Transformation: How to Run Best-in-Class IT Operations in a World of ...Digital Transformation: How to Run Best-in-Class IT Operations in a World of ...
Digital Transformation: How to Run Best-in-Class IT Operations in a World of ...
 
Future se oct15
Future se oct15Future se oct15
Future se oct15
 
Data Management: Case Study Presented @ Enterprise Data World 2010
Data Management:  Case Study Presented @ Enterprise Data World 2010Data Management:  Case Study Presented @ Enterprise Data World 2010
Data Management: Case Study Presented @ Enterprise Data World 2010
 
Big data and the data quality imperative
Big data and the data quality imperativeBig data and the data quality imperative
Big data and the data quality imperative
 
DN 2017 | Data product discovery - The product perspective on digital transfo...
DN 2017 | Data product discovery - The product perspective on digital transfo...DN 2017 | Data product discovery - The product perspective on digital transfo...
DN 2017 | Data product discovery - The product perspective on digital transfo...
 
InfoZoom Tips & Tricks – Part 7: Analysis of phone data via InfoZoom template
InfoZoom Tips & Tricks – Part 7: Analysis of phone data via InfoZoom templateInfoZoom Tips & Tricks – Part 7: Analysis of phone data via InfoZoom template
InfoZoom Tips & Tricks – Part 7: Analysis of phone data via InfoZoom template
 
O365Engage17 - Black belting office 365 security with secure score
O365Engage17 - Black belting office 365 security with secure scoreO365Engage17 - Black belting office 365 security with secure score
O365Engage17 - Black belting office 365 security with secure score
 
Taming Big Data With Modern Software Architecture
Taming Big Data  With Modern Software ArchitectureTaming Big Data  With Modern Software Architecture
Taming Big Data With Modern Software Architecture
 
Smart Solutions: Data Analytics to Support Fraud Examinations
Smart Solutions: Data Analytics to Support Fraud ExaminationsSmart Solutions: Data Analytics to Support Fraud Examinations
Smart Solutions: Data Analytics to Support Fraud Examinations
 

More from OMM Solutions GmbH

Growth Hacking
Growth HackingGrowth Hacking
Growth Hacking
OMM Solutions GmbH
 
IoT-Home fails
IoT-Home failsIoT-Home fails
IoT-Home fails
OMM Solutions GmbH
 
Mythos und Realität des Intrapreneurs - Wer ist er und welche organisatorisch...
Mythos und Realität des Intrapreneurs - Wer ist er und welche organisatorisch...Mythos und Realität des Intrapreneurs - Wer ist er und welche organisatorisch...
Mythos und Realität des Intrapreneurs - Wer ist er und welche organisatorisch...
OMM Solutions GmbH
 
How everyone can program a browser to quickly automate research and analyst-t...
How everyone can program a browser to quickly automate research and analyst-t...How everyone can program a browser to quickly automate research and analyst-t...
How everyone can program a browser to quickly automate research and analyst-t...
OMM Solutions GmbH
 
How we automate tasks and processes at OMM
How we automate tasks and processes at OMMHow we automate tasks and processes at OMM
How we automate tasks and processes at OMM
OMM Solutions GmbH
 
Industrie 4.0: State of the art
Industrie 4.0: State of the artIndustrie 4.0: State of the art
Industrie 4.0: State of the art
OMM Solutions GmbH
 
How AI will affect individuals
How AI will affect individualsHow AI will affect individuals
How AI will affect individuals
OMM Solutions GmbH
 
The future of society with AI
The future of society with AIThe future of society with AI
The future of society with AI
OMM Solutions GmbH
 
Quantum computing - the next big thing
Quantum computing - the next big thingQuantum computing - the next big thing
Quantum computing - the next big thing
OMM Solutions GmbH
 
How AI will affect individuals
How AI will affect individuals How AI will affect individuals
How AI will affect individuals
OMM Solutions GmbH
 
Industry ready software ecosystems how to attract software development part...
Industry ready software ecosystems   how to attract software development part...Industry ready software ecosystems   how to attract software development part...
Industry ready software ecosystems how to attract software development part...
OMM Solutions GmbH
 
Wie Edtech das Lernen der Zukunft verändert
Wie Edtech das Lernen der Zukunft verändertWie Edtech das Lernen der Zukunft verändert
Wie Edtech das Lernen der Zukunft verändert
OMM Solutions GmbH
 
How AI will effect individuals
How AI will effect individualsHow AI will effect individuals
How AI will effect individuals
OMM Solutions GmbH
 
Agile Software Development – Why all the fuzz?
Agile Software Development – Why all the fuzz?Agile Software Development – Why all the fuzz?
Agile Software Development – Why all the fuzz?
OMM Solutions GmbH
 
New Work - Collaborative Work
New Work - Collaborative WorkNew Work - Collaborative Work
New Work - Collaborative Work
OMM Solutions GmbH
 
The state of AI & ML Hype or potential – what‘s possible, how the future will...
The state of AI & ML Hype or potential – what‘s possible, how the future will...The state of AI & ML Hype or potential – what‘s possible, how the future will...
The state of AI & ML Hype or potential – what‘s possible, how the future will...
OMM Solutions GmbH
 
Scaling Blockchain Transaction Are 1000000 Transactions / second really possi...
Scaling Blockchain Transaction Are 1000000 Transactions / second really possi...Scaling Blockchain Transaction Are 1000000 Transactions / second really possi...
Scaling Blockchain Transaction Are 1000000 Transactions / second really possi...
OMM Solutions GmbH
 
Passwörter lang oder kurz?
Passwörter lang oder kurz?Passwörter lang oder kurz?
Passwörter lang oder kurz?
OMM Solutions GmbH
 
Nutzerzentrierte Prozesse und Methoden im Überblick - Mit Design Thinking, Cu...
Nutzerzentrierte Prozesse und Methoden im Überblick - Mit Design Thinking, Cu...Nutzerzentrierte Prozesse und Methoden im Überblick - Mit Design Thinking, Cu...
Nutzerzentrierte Prozesse und Methoden im Überblick - Mit Design Thinking, Cu...
OMM Solutions GmbH
 
Hello, Bot! - When AI starts communicating
Hello, Bot! - When AI starts communicatingHello, Bot! - When AI starts communicating
Hello, Bot! - When AI starts communicating
OMM Solutions GmbH
 

More from OMM Solutions GmbH (20)

Growth Hacking
Growth HackingGrowth Hacking
Growth Hacking
 
IoT-Home fails
IoT-Home failsIoT-Home fails
IoT-Home fails
 
Mythos und Realität des Intrapreneurs - Wer ist er und welche organisatorisch...
Mythos und Realität des Intrapreneurs - Wer ist er und welche organisatorisch...Mythos und Realität des Intrapreneurs - Wer ist er und welche organisatorisch...
Mythos und Realität des Intrapreneurs - Wer ist er und welche organisatorisch...
 
How everyone can program a browser to quickly automate research and analyst-t...
How everyone can program a browser to quickly automate research and analyst-t...How everyone can program a browser to quickly automate research and analyst-t...
How everyone can program a browser to quickly automate research and analyst-t...
 
How we automate tasks and processes at OMM
How we automate tasks and processes at OMMHow we automate tasks and processes at OMM
How we automate tasks and processes at OMM
 
Industrie 4.0: State of the art
Industrie 4.0: State of the artIndustrie 4.0: State of the art
Industrie 4.0: State of the art
 
How AI will affect individuals
How AI will affect individualsHow AI will affect individuals
How AI will affect individuals
 
The future of society with AI
The future of society with AIThe future of society with AI
The future of society with AI
 
Quantum computing - the next big thing
Quantum computing - the next big thingQuantum computing - the next big thing
Quantum computing - the next big thing
 
How AI will affect individuals
How AI will affect individuals How AI will affect individuals
How AI will affect individuals
 
Industry ready software ecosystems how to attract software development part...
Industry ready software ecosystems   how to attract software development part...Industry ready software ecosystems   how to attract software development part...
Industry ready software ecosystems how to attract software development part...
 
Wie Edtech das Lernen der Zukunft verändert
Wie Edtech das Lernen der Zukunft verändertWie Edtech das Lernen der Zukunft verändert
Wie Edtech das Lernen der Zukunft verändert
 
How AI will effect individuals
How AI will effect individualsHow AI will effect individuals
How AI will effect individuals
 
Agile Software Development – Why all the fuzz?
Agile Software Development – Why all the fuzz?Agile Software Development – Why all the fuzz?
Agile Software Development – Why all the fuzz?
 
New Work - Collaborative Work
New Work - Collaborative WorkNew Work - Collaborative Work
New Work - Collaborative Work
 
The state of AI & ML Hype or potential – what‘s possible, how the future will...
The state of AI & ML Hype or potential – what‘s possible, how the future will...The state of AI & ML Hype or potential – what‘s possible, how the future will...
The state of AI & ML Hype or potential – what‘s possible, how the future will...
 
Scaling Blockchain Transaction Are 1000000 Transactions / second really possi...
Scaling Blockchain Transaction Are 1000000 Transactions / second really possi...Scaling Blockchain Transaction Are 1000000 Transactions / second really possi...
Scaling Blockchain Transaction Are 1000000 Transactions / second really possi...
 
Passwörter lang oder kurz?
Passwörter lang oder kurz?Passwörter lang oder kurz?
Passwörter lang oder kurz?
 
Nutzerzentrierte Prozesse und Methoden im Überblick - Mit Design Thinking, Cu...
Nutzerzentrierte Prozesse und Methoden im Überblick - Mit Design Thinking, Cu...Nutzerzentrierte Prozesse und Methoden im Überblick - Mit Design Thinking, Cu...
Nutzerzentrierte Prozesse und Methoden im Überblick - Mit Design Thinking, Cu...
 
Hello, Bot! - When AI starts communicating
Hello, Bot! - When AI starts communicatingHello, Bot! - When AI starts communicating
Hello, Bot! - When AI starts communicating
 

Recently uploaded

CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSECHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
kumarjarun2010
 
Amul milk launches in US: Key details of its new products ...
Amul milk launches in US: Key details of its new products ...Amul milk launches in US: Key details of its new products ...
Amul milk launches in US: Key details of its new products ...
chetankumar9855
 
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyyActive Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
RaminGhanbari2
 
Using LLM Agents with Llama 3, LangGraph and Milvus
Using LLM Agents with Llama 3, LangGraph and MilvusUsing LLM Agents with Llama 3, LangGraph and Milvus
Using LLM Agents with Llama 3, LangGraph and Milvus
Zilliz
 
The Role of Technology in Payroll Statutory Compliance (1).pdf
The Role of Technology in Payroll Statutory Compliance (1).pdfThe Role of Technology in Payroll Statutory Compliance (1).pdf
The Role of Technology in Payroll Statutory Compliance (1).pdf
paysquare consultancy
 
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptxUse Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
SynapseIndia
 
Choose our Linux Web Hosting for a seamless and successful online presence
Choose our Linux Web Hosting for a seamless and successful online presenceChoose our Linux Web Hosting for a seamless and successful online presence
Choose our Linux Web Hosting for a seamless and successful online presence
rajancomputerfbd
 
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
bhumivarma35300
 
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
Priyanka Aash
 
How to build a generative AI solution A step-by-step guide (2).pdf
How to build a generative AI solution A step-by-step guide (2).pdfHow to build a generative AI solution A step-by-step guide (2).pdf
How to build a generative AI solution A step-by-step guide (2).pdf
ChristopherTHyatt
 
WPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide DeckWPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide Deck
Lidia A.
 
Comparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdfComparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdf
Andrey Yasko
 
Salesforce AI & Einstein Copilot Workshop
Salesforce AI & Einstein Copilot WorkshopSalesforce AI & Einstein Copilot Workshop
Salesforce AI & Einstein Copilot Workshop
CEPTES Software Inc
 
“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Usef...
“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Usef...“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Usef...
“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Usef...
Edge AI and Vision Alliance
 
Password Rotation in 2024 is still Relevant
Password Rotation in 2024 is still RelevantPassword Rotation in 2024 is still Relevant
Password Rotation in 2024 is still Relevant
Bert Blevins
 
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptxRPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
SynapseIndia
 
Best Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdfBest Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdf
Tatiana Al-Chueyr
 
Implementations of Fused Deposition Modeling in real world
Implementations of Fused Deposition Modeling  in real worldImplementations of Fused Deposition Modeling  in real world
Implementations of Fused Deposition Modeling in real world
Emerging Tech
 
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfBT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
Neo4j
 
Data Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining DataData Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining Data
Safe Software
 

Recently uploaded (20)

CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSECHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
CHAPTER-8 COMPONENTS OF COMPUTER SYSTEM CLASS 9 CBSE
 
Amul milk launches in US: Key details of its new products ...
Amul milk launches in US: Key details of its new products ...Amul milk launches in US: Key details of its new products ...
Amul milk launches in US: Key details of its new products ...
 
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyyActive Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
Active Inference is a veryyyyyyyyyyyyyyyyyyyyyyyy
 
Using LLM Agents with Llama 3, LangGraph and Milvus
Using LLM Agents with Llama 3, LangGraph and MilvusUsing LLM Agents with Llama 3, LangGraph and Milvus
Using LLM Agents with Llama 3, LangGraph and Milvus
 
The Role of Technology in Payroll Statutory Compliance (1).pdf
The Role of Technology in Payroll Statutory Compliance (1).pdfThe Role of Technology in Payroll Statutory Compliance (1).pdf
The Role of Technology in Payroll Statutory Compliance (1).pdf
 
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptxUse Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
 
Choose our Linux Web Hosting for a seamless and successful online presence
Choose our Linux Web Hosting for a seamless and successful online presenceChoose our Linux Web Hosting for a seamless and successful online presence
Choose our Linux Web Hosting for a seamless and successful online presence
 
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
High Profile Girls call Service Pune 000XX00000 Provide Best And Top Girl Ser...
 
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
(CISOPlatform Summit & SACON 2024) Digital Personal Data Protection Act.pdf
 
How to build a generative AI solution A step-by-step guide (2).pdf
How to build a generative AI solution A step-by-step guide (2).pdfHow to build a generative AI solution A step-by-step guide (2).pdf
How to build a generative AI solution A step-by-step guide (2).pdf
 
WPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide DeckWPRiders Company Presentation Slide Deck
WPRiders Company Presentation Slide Deck
 
Comparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdfComparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdf
 
Salesforce AI & Einstein Copilot Workshop
Salesforce AI & Einstein Copilot WorkshopSalesforce AI & Einstein Copilot Workshop
Salesforce AI & Einstein Copilot Workshop
 
“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Usef...
“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Usef...“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Usef...
“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Usef...
 
Password Rotation in 2024 is still Relevant
Password Rotation in 2024 is still RelevantPassword Rotation in 2024 is still Relevant
Password Rotation in 2024 is still Relevant
 
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptxRPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptx
 
Best Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdfBest Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdf
 
Implementations of Fused Deposition Modeling in real world
Implementations of Fused Deposition Modeling  in real worldImplementations of Fused Deposition Modeling  in real world
Implementations of Fused Deposition Modeling in real world
 
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfBT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
 
Data Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining DataData Integration Basics: Merging & Joining Data
Data Integration Basics: Merging & Joining Data
 

The possibilities of information that can be extracted from seemingly simpel data

  • 1. OMM Solutions TECHtalks #18 1< OMM Solutions GmbH > www.tech-talks.eu
  • 2. Einmal im Monat ist TECHtalk Zeit! First come first served! < OMM Solutions GmbH > 2
  • 3. Talk: The possibilities of information that can be extracted from seemingly simple data Speaker: Olaf Horstmann 3< OMM Solutions GmbH >
  • 4. • Data Science != Big Data != Machine Learning != AI • Data Science = Extracting information from any data • Big Data = TeraBytes to PetaBytes of data • Machine Learning = Training algorithms to classify or predict specific data • AI = Training an algorithm to make correct decisions on a wide range of different situations • Data does not deliver “truth” • Every piece of extracted information is just an assumption/thesis 4 ...things to remember Prequisit < OMM Solutions GmbH >
  • 5. Data from a fitness-tracker 5 Images by Strava; https://www.strava.com/heatmap#7.00/-120.90000/38.36000/hot/all < OMM Solutions GmbH >
  • 6. Runners Data from a fitness-tracker 6< OMM Solutions GmbH > Images by Strava; https://www.strava.com/heatmap#7.00/-120.90000/38.36000/hot/all
  • 7. Cyclists Data from a fitness-tracker 7< OMM Solutions GmbH > Images by Strava; https://www.strava.com/heatmap#7.00/-120.90000/38.36000/hot/all
  • 8. Sometimes they reveal streets that are not on the map ... Data from a fitness-tracker 8< OMM Solutions GmbH > Images by Strava; https://www.strava.com/heatmap#7.00/-120.90000/38.36000/hot/all
  • 9. … somewhere in Afghanistan Data from a fitness-tracker 9< OMM Solutions GmbH > Images by Strava; https://www.strava.com/heatmap#7.00/-120.90000/38.36000/hot/all
  • 10. Example: “Spiegel Mining” by David Kriesel • 70.000 Spiegel Online articles • time-frame ~2 years • everything saved to a database • analysis based on feature-extraction Data Science on data from a news-website 10< OMM Solutions GmbH > Quelle: http://www.dkriesel.com/spiegelmining
  • 11. Step 1: Visualisation Data Science on data from a news-website 11 Graphs by David Kriesel dkriesel.com < OMM Solutions GmbH >
  • 12. Step 2: “Trivial” derivations Data Science on data from a news-website 12 Graphs by David Kriesel dkriesel.com < OMM Solutions GmbH >
  • 13. Step 2: “Trivial” derivations Data Science on data from a news-website 13 Graphs by David Kriesel dkriesel.com < OMM Solutions GmbH >
  • 14. Step 3: More in depth analysis Data Science on data from a news-website 14 Graphs by David Kriesel dkriesel.com < OMM Solutions GmbH >
  • 15. Step 4: Somewhat unrelated interpretations Data Science on data from a news-website 15 Graphs by David Kriesel dkriesel.com < OMM Solutions GmbH >
  • 16. Step 5: Further unrelated interpretations Data Science on data from a news-website 16 Graphs by David Kriesel dkriesel.com < OMM Solutions GmbH >
  • 17. Step 6: Combination of multiple datasources Data Science on data from a news-website 17 Graphs by David Kriesel dkriesel.com; instagram.com; twitter.com + < OMM Solutions GmbH >
  • 18. Data does not deliver “truth” 18 Remember < OMM Solutions GmbH >
  • 19. • Statistics have shown, that employees that used Chrome or Firefox performed better on employment assessment metrics and stayed on longer than those who did not. • => “Users of the Chrome and Firefox browsers are better employees.” • The ones with “relatively feminine” names killed an average of 42 people, the ones with “relatively male” name killed only 15 on average. • => “Female-named hurricanes are more deadly.” • American men 45 to 82 who skip breakfast showed a 27 percent higher risk of coronary heart disease over a 16-year period. • => “Skipping breakfast causes coronary heart disease” ...your turn to guess Correlation != Causation 19 https://blogs.scientificamerican.com/guest-blog/9-bizarre-and-surprising-insights-from-data-science/
  • 20. Correlation != Causation 20 Graphs by Tyler Vigen (http://www.tylervigen.com/spurious-correlations)
  • 21. Correlation != Causation 21 Graphs by Tyler Vigen (http://www.tylervigen.com/spurious-correlations)
  • 22. Correlation != Causation 22 Graphs by Tyler Vigen (http://www.tylervigen.com/spurious-correlations)
  • 23. Vielen Dank für Eure Aufmerksamkeit! 23< OMM Solutions GmbH >
  • 24. Ihr persönlicher Ansprechpartner Fragen oder Interesse? < OMM Solutions GmbH > 24 Olaf Horstmann Technology & Innovation OMM Solutions GmbH Vor dem Lauch 4 70567 Stuttgart Germany oh@omm-solutions.de +49 (0)711 75 86 46 04
  • 25. 25< OMM Solutions GmbH > www.omm-solutions.de OMM Solutions GmbH Vor dem Lauch 4 70567 Stuttgart Geschäftsführer Martin Allmendinger Malte Horstmann Olaf Horstmann Kontakt Telefon: +49 711 6747 051-0 E-Mail: info@omm-solutions.de Umsatzsteuer-ID: DE295716572 Sitz der Gesellschaft: Stuttgart Amtsgericht Stuttgart, HRB 749562 Impressum