SlideShare ist ein Scribd-Unternehmen logo

Proposal 12 - Visual Analytics

•Als PPT, PDF herunterladen•
•
C
CISTI ICIST

The document proposes a project to investigate adopting visual analytics tools for unstructured content analysis and providing these tools as a service. It outlines a 3 stage process: 1) Needs analysis, 2) Survey available tools, 3) Pilot study selecting 1-2 tools. The pilot study would train teams and have them use the tools on 2 client projects each to evaluate effectiveness, usability and client feedback. The goals are to help answer client questions, improve analysis of unstructured content, and provide sophisticated analysis skills.

Technologie
1 von 23
“ The use of visual analytics tools for unstructured content analysis” David Whitehead TBA, Vancouver Visual Analytics
Visual Analytics
My Proposal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
My Proposal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],OVERLY AMBITIOUS
Reality ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Reality Practical
Why Visual Analytics ,[object Object]
Visual Analytics ,[object Object],From: http://en.wikipedia.org/wiki/Visual_analytics
Visual Analytics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why explore Visual Analytics ,[object Object],[object Object],[object Object],[object Object]
Visual Analytics Turns This Into This 1 - 10 of about 3,660,000 for enterprise usb content distribution
Demo ,[object Object]
Multiple Views
Multiple Views
Subject Views
Good ,[object Object],[object Object],[object Object],[object Object],[object Object]
Bad ,[object Object],[object Object],[object Object],[object Object]
Awesome! ,[object Object],[object Object],[object Object],[object Object],[object Object]
Test 1 ,[object Object],Traditional Approach Visual Analytics Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Test 2 ,[object Object],Traditional Approach Visual Analytics Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
General Observations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Visual Analytics ,[object Object],From: http://en.wikipedia.org/wiki/Visual_analytics
Why learn more… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Empfohlen

2015 Forrester Report
2015 Forrester Report2015 Forrester Report
2015 Forrester Report
Anthony Papp
 
Forrester on Big Data
Forrester on Big DataForrester on Big Data
Forrester on Big Data
John Cunningham
 
Empirical discovery concept model
Empirical discovery concept modelEmpirical discovery concept model
Empirical discovery concept model
Joe Lamantia
 
1 tihify
1 tihify1 tihify
1 tihify
Solutions IT et Business
 
Iterative Discovery and Analysis: Workflow / Activity and Capability Model
Iterative Discovery and Analysis: Workflow / Activity and Capability ModelIterative Discovery and Analysis: Workflow / Activity and Capability Model
Iterative Discovery and Analysis: Workflow / Activity and Capability Model
Joe Lamantia
 
Data analytics course with technologies
Data analytics course with technologiesData analytics course with technologies
Data analytics course with technologies
nakshatraL
 
Self-service analytics risk_September_2016
Self-service analytics risk_September_2016Self-service analytics risk_September_2016
Self-service analytics risk_September_2016
Leigh Ulpen
 
Making Predictive Analytics Practical: How Marketing Can Drive Engagement
Making Predictive Analytics Practical: How Marketing Can Drive EngagementMaking Predictive Analytics Practical: How Marketing Can Drive Engagement
Making Predictive Analytics Practical: How Marketing Can Drive Engagement
Progress® Sitefinity™
 

Empfohlen

2015 Forrester Report
2015 Forrester Report2015 Forrester Report
2015 Forrester Report
Anthony Papp
 
Forrester on Big Data
Forrester on Big DataForrester on Big Data
Forrester on Big Data
John Cunningham
 
Empirical discovery concept model
Empirical discovery concept modelEmpirical discovery concept model
Empirical discovery concept model
Joe Lamantia
 
1 tihify
1 tihify1 tihify
1 tihify
Solutions IT et Business
 
Iterative Discovery and Analysis: Workflow / Activity and Capability Model
Iterative Discovery and Analysis: Workflow / Activity and Capability ModelIterative Discovery and Analysis: Workflow / Activity and Capability Model
Iterative Discovery and Analysis: Workflow / Activity and Capability Model
Joe Lamantia
 
Data analytics course with technologies
Data analytics course with technologiesData analytics course with technologies
Data analytics course with technologies
nakshatraL
 
Self-service analytics risk_September_2016
Self-service analytics risk_September_2016Self-service analytics risk_September_2016
Self-service analytics risk_September_2016
Leigh Ulpen
 
Making Predictive Analytics Practical: How Marketing Can Drive Engagement
Making Predictive Analytics Practical: How Marketing Can Drive EngagementMaking Predictive Analytics Practical: How Marketing Can Drive Engagement
Making Predictive Analytics Practical: How Marketing Can Drive Engagement
Progress® Sitefinity™
 
H2O World - Machine Learning for non-data scientists
H2O World - Machine Learning for non-data scientistsH2O World - Machine Learning for non-data scientists
H2O World - Machine Learning for non-data scientists
Sri Ambati
 
Data Quality Analytics: Understanding what is in your data, before using it
Data Quality Analytics: Understanding what is in your data, before using itData Quality Analytics: Understanding what is in your data, before using it
Data Quality Analytics: Understanding what is in your data, before using it
Domino Data Lab
 
Streamlined Product Evaluation
Streamlined Product EvaluationStreamlined Product Evaluation
Streamlined Product Evaluation
weeks.c
 
Micropanel Webinar 8 24-11
Micropanel Webinar 8 24-11Micropanel Webinar 8 24-11
Micropanel Webinar 8 24-11
QuestionPro
 
Developing an Analytical Mindset – Becoming an Analytical Competitor
Developing an Analytical Mindset – Becoming an Analytical CompetitorDeveloping an Analytical Mindset – Becoming an Analytical Competitor
Developing an Analytical Mindset – Becoming an Analytical Competitor
SAS Asia Pacific
 
Extending Enterprise Search at AstraZeneca
Extending Enterprise Search at AstraZenecaExtending Enterprise Search at AstraZeneca
Extending Enterprise Search at AstraZeneca
Steve Woodward
 
Elsevier
ElsevierElsevier
Elsevier
Christina Azzam
 
Supporting innovation in insurance with randomized experimentation
Supporting innovation in insurance with randomized experimentationSupporting innovation in insurance with randomized experimentation
Supporting innovation in insurance with randomized experimentation
Domino Data Lab
 
Emvigo Data Visualization - E Commerce Deck
Emvigo Data Visualization - E Commerce DeckEmvigo Data Visualization - E Commerce Deck
Emvigo Data Visualization - E Commerce Deck
Emvigo Technologies
 
Big data in action - Watson in banking Wealth management
Big data in action - Watson in banking Wealth management Big data in action - Watson in banking Wealth management
Big data in action - Watson in banking Wealth management
IBM Thailand Co Ltd
 
Getting Results through Data-driven Procurement
Getting Results through Data-driven ProcurementGetting Results through Data-driven Procurement
Getting Results through Data-driven Procurement
Dan Traub
 
Max diff scaling for research access(4)
Max diff scaling for research access(4)Max diff scaling for research access(4)
Max diff scaling for research access(4)
QuestionPro
 
Text/Content Analytics 2011: User Perspectives on Solutions and Providers
Text/Content Analytics 2011: User Perspectives on Solutions and ProvidersText/Content Analytics 2011: User Perspectives on Solutions and Providers
Text/Content Analytics 2011: User Perspectives on Solutions and Providers
Seth Grimes
 
Delivering Machine Learning Solutions by fmr Sears Dir of PM
Delivering Machine Learning Solutions by fmr Sears Dir of PMDelivering Machine Learning Solutions by fmr Sears Dir of PM
Delivering Machine Learning Solutions by fmr Sears Dir of PM
Product School
 
Next Gen Clinical Data Sciences
Next Gen Clinical Data SciencesNext Gen Clinical Data Sciences
Next Gen Clinical Data Sciences
Saama
 
Meetup7 integration microservices_machine_learning
Meetup7 integration microservices_machine_learningMeetup7 integration microservices_machine_learning
Meetup7 integration microservices_machine_learning
Megatris Comp
 
CATI surveys in a CX environment
CATI surveys in a CX environmentCATI surveys in a CX environment
CATI surveys in a CX environment
Genex_Insights
 
Bigdataanalytics
BigdataanalyticsBigdataanalytics
Bigdataanalytics
Haroon Karim
 
An Industry Perspective on Subjectivity, Sentiment, and Social
An Industry Perspective on Subjectivity, Sentiment, and SocialAn Industry Perspective on Subjectivity, Sentiment, and Social
An Industry Perspective on Subjectivity, Sentiment, and Social
Seth Grimes
 
What’s next for healthcare information technology innovation?
What’s next for healthcare information technology innovation?What’s next for healthcare information technology innovation?
What’s next for healthcare information technology innovation?
Shahid Shah
 
in*Bug: Software Defect Analytics
in*Bug: Software Defect Analytics in*Bug: Software Defect Analytics
in*Bug: Software Defect Analytics
ESUG
 
Life Science Analytics
Life Science AnalyticsLife Science Analytics
Life Science Analytics
Andrew Malinow, PhD
 

Weitere ähnliche Inhalte

Was ist angesagt?

Getting Results through Data-driven Procurement
Getting Results through Data-driven ProcurementGetting Results through Data-driven Procurement
Getting Results through Data-driven Procurement
Dan Traub
 
Max diff scaling for research access(4)
Max diff scaling for research access(4)Max diff scaling for research access(4)
Max diff scaling for research access(4)
QuestionPro
 

Was ist angesagt? (20)

H2O World - Machine Learning for non-data scientists
H2O World - Machine Learning for non-data scientistsH2O World - Machine Learning for non-data scientists
H2O World - Machine Learning for non-data scientists
 
Data Quality Analytics: Understanding what is in your data, before using it
Data Quality Analytics: Understanding what is in your data, before using itData Quality Analytics: Understanding what is in your data, before using it
Data Quality Analytics: Understanding what is in your data, before using it
 
Streamlined Product Evaluation
Streamlined Product EvaluationStreamlined Product Evaluation
Streamlined Product Evaluation
 
Micropanel Webinar 8 24-11
Micropanel Webinar 8 24-11Micropanel Webinar 8 24-11
Micropanel Webinar 8 24-11
 
Developing an Analytical Mindset – Becoming an Analytical Competitor
Developing an Analytical Mindset – Becoming an Analytical CompetitorDeveloping an Analytical Mindset – Becoming an Analytical Competitor
Developing an Analytical Mindset – Becoming an Analytical Competitor
 
Extending Enterprise Search at AstraZeneca
Extending Enterprise Search at AstraZenecaExtending Enterprise Search at AstraZeneca
Extending Enterprise Search at AstraZeneca
 
Elsevier
ElsevierElsevier
Elsevier
 
Supporting innovation in insurance with randomized experimentation
Supporting innovation in insurance with randomized experimentationSupporting innovation in insurance with randomized experimentation
Supporting innovation in insurance with randomized experimentation
 
Emvigo Data Visualization - E Commerce Deck
Emvigo Data Visualization - E Commerce DeckEmvigo Data Visualization - E Commerce Deck
Emvigo Data Visualization - E Commerce Deck
 
Big data in action - Watson in banking Wealth management
Big data in action - Watson in banking Wealth management Big data in action - Watson in banking Wealth management
Big data in action - Watson in banking Wealth management
 
Getting Results through Data-driven Procurement
Getting Results through Data-driven ProcurementGetting Results through Data-driven Procurement
Getting Results through Data-driven Procurement
 
Max diff scaling for research access(4)
Max diff scaling for research access(4)Max diff scaling for research access(4)
Max diff scaling for research access(4)
 
Text/Content Analytics 2011: User Perspectives on Solutions and Providers
Text/Content Analytics 2011: User Perspectives on Solutions and ProvidersText/Content Analytics 2011: User Perspectives on Solutions and Providers
Text/Content Analytics 2011: User Perspectives on Solutions and Providers
 
Delivering Machine Learning Solutions by fmr Sears Dir of PM
Delivering Machine Learning Solutions by fmr Sears Dir of PMDelivering Machine Learning Solutions by fmr Sears Dir of PM
Delivering Machine Learning Solutions by fmr Sears Dir of PM
 
Next Gen Clinical Data Sciences
Next Gen Clinical Data SciencesNext Gen Clinical Data Sciences
Next Gen Clinical Data Sciences
 
Meetup7 integration microservices_machine_learning
Meetup7 integration microservices_machine_learningMeetup7 integration microservices_machine_learning
Meetup7 integration microservices_machine_learning
 
CATI surveys in a CX environment
CATI surveys in a CX environmentCATI surveys in a CX environment
CATI surveys in a CX environment
 
Bigdataanalytics
BigdataanalyticsBigdataanalytics
Bigdataanalytics
 
An Industry Perspective on Subjectivity, Sentiment, and Social
An Industry Perspective on Subjectivity, Sentiment, and SocialAn Industry Perspective on Subjectivity, Sentiment, and Social
An Industry Perspective on Subjectivity, Sentiment, and Social
 
What’s next for healthcare information technology innovation?
What’s next for healthcare information technology innovation?What’s next for healthcare information technology innovation?
What’s next for healthcare information technology innovation?
 

Andere mochten auch

Using Unstructured Text Data to Stay Ahead of Market Trends and Quantify Cust...
Using Unstructured Text Data to Stay Ahead of Market Trends and Quantify Cust...Using Unstructured Text Data to Stay Ahead of Market Trends and Quantify Cust...
Using Unstructured Text Data to Stay Ahead of Market Trends and Quantify Cust...
Course5i
 
Problem And Prospectus Of Export House
Problem And Prospectus Of Export HouseProblem And Prospectus Of Export House
Problem And Prospectus Of Export House
Suresh Singh
 
Digital analytics with R - Sydney Users of R Forum - May 2015
Digital analytics with R - Sydney Users of R Forum - May 2015Digital analytics with R - Sydney Users of R Forum - May 2015
Digital analytics with R - Sydney Users of R Forum - May 2015
Johann de Boer
 

Andere mochten auch (20)

in*Bug: Software Defect Analytics
in*Bug: Software Defect Analytics in*Bug: Software Defect Analytics
in*Bug: Software Defect Analytics
 
Life Science Analytics
Life Science AnalyticsLife Science Analytics
Life Science Analytics
 
Integrating Structure and Analytics with Unstructured Data
Integrating Structure and Analytics with Unstructured DataIntegrating Structure and Analytics with Unstructured Data
Integrating Structure and Analytics with Unstructured Data
 
Digital analytics: Visualization (Lecture 5)
Digital analytics: Visualization (Lecture 5)Digital analytics: Visualization (Lecture 5)
Digital analytics: Visualization (Lecture 5)
 
Web analytics using R
Web analytics using RWeb analytics using R
Web analytics using R
 
Inside Out of A Web Analyst Mind
Inside Out of A Web Analyst MindInside Out of A Web Analyst Mind
Inside Out of A Web Analyst Mind
 
A STUDY ON CHALLENGES & OPPORTUNITIES FOR FREIGHT FORWARDERS IN INDIA AND EXI...
A STUDY ON CHALLENGES & OPPORTUNITIES FOR FREIGHT FORWARDERS IN INDIA AND EXI...A STUDY ON CHALLENGES & OPPORTUNITIES FOR FREIGHT FORWARDERS IN INDIA AND EXI...
A STUDY ON CHALLENGES & OPPORTUNITIES FOR FREIGHT FORWARDERS IN INDIA AND EXI...
 
Using Unstructured Text Data to Stay Ahead of Market Trends and Quantify Cust...
Using Unstructured Text Data to Stay Ahead of Market Trends and Quantify Cust...Using Unstructured Text Data to Stay Ahead of Market Trends and Quantify Cust...
Using Unstructured Text Data to Stay Ahead of Market Trends and Quantify Cust...
 
Biometrics research paper
Biometrics research paperBiometrics research paper
Biometrics research paper
 
Future of Visitor Audience segmentation
Future of Visitor Audience segmentationFuture of Visitor Audience segmentation
Future of Visitor Audience segmentation
 
The what, why and how of web analytics testing
The what, why and how of web analytics testingThe what, why and how of web analytics testing
The what, why and how of web analytics testing
 
Problem And Prospectus Of Export House
Problem And Prospectus Of Export HouseProblem And Prospectus Of Export House
Problem And Prospectus Of Export House
 
Advanced analytics proposal review guide
Advanced analytics proposal review guideAdvanced analytics proposal review guide
Advanced analytics proposal review guide
 
Hadoop at aadhaar
Hadoop at aadhaarHadoop at aadhaar
Hadoop at aadhaar
 
IBM Watson Content Analytics Redbook
IBM Watson Content Analytics RedbookIBM Watson Content Analytics Redbook
IBM Watson Content Analytics Redbook
 
Digital analytics with R - Sydney Users of R Forum - May 2015
Digital analytics with R - Sydney Users of R Forum - May 2015Digital analytics with R - Sydney Users of R Forum - May 2015
Digital analytics with R - Sydney Users of R Forum - May 2015
 
Design to Differentiate An Approach to Test, Target and Learn
Design to Differentiate An Approach to Test, Target and LearnDesign to Differentiate An Approach to Test, Target and Learn
Design to Differentiate An Approach to Test, Target and Learn
 
Getting Started with Unstructured Data
Getting Started with Unstructured DataGetting Started with Unstructured Data
Getting Started with Unstructured Data
 
Advanced Defect Management
Advanced Defect ManagementAdvanced Defect Management
Advanced Defect Management
 
Models of audience segmentation
Models of audience segmentationModels of audience segmentation
Models of audience segmentation
 

Ähnlich wie Proposal 12 - Visual Analytics

Supercharge Your Corporate Dashboards With UX Analytics
Supercharge Your Corporate Dashboards With UX AnalyticsSupercharge Your Corporate Dashboards With UX Analytics
Supercharge Your Corporate Dashboards With UX Analytics
UserZoom
 
How to use your data science team: Becoming a data-driven organization
How to use your data science team: Becoming a data-driven organizationHow to use your data science team: Becoming a data-driven organization
How to use your data science team: Becoming a data-driven organization
Yael Garten
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender Systems
vivatechijri
 
Study of Recommendation System Used In Tourism and Travel
Study of Recommendation System Used In Tourism and TravelStudy of Recommendation System Used In Tourism and Travel
Study of Recommendation System Used In Tourism and Travel
ijtsrd
 
Analytics and Self Service
Analytics and Self ServiceAnalytics and Self Service
Analytics and Self Service
Mike Streb
 

Ähnlich wie Proposal 12 - Visual Analytics (20)

Combining analytics and user research
Combining analytics and user researchCombining analytics and user research
Combining analytics and user research
 
Supercharge Your Corporate Dashboards With UX Analytics
Supercharge Your Corporate Dashboards With UX AnalyticsSupercharge Your Corporate Dashboards With UX Analytics
Supercharge Your Corporate Dashboards With UX Analytics
 
How to use your data science team: Becoming a data-driven organization
How to use your data science team: Becoming a data-driven organizationHow to use your data science team: Becoming a data-driven organization
How to use your data science team: Becoming a data-driven organization
 
Going MAD: A Framework For Delivering Pervasive BI Solutions
Going MAD: A Framework For Delivering Pervasive BI SolutionsGoing MAD: A Framework For Delivering Pervasive BI Solutions
Going MAD: A Framework For Delivering Pervasive BI Solutions
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender Systems
 
Recommendation system (1).pptx
Recommendation system (1).pptxRecommendation system (1).pptx
Recommendation system (1).pptx
 
recommendationsystem1-221109055232-c8b46131.pdf
recommendationsystem1-221109055232-c8b46131.pdfrecommendationsystem1-221109055232-c8b46131.pdf
recommendationsystem1-221109055232-c8b46131.pdf
 
IRJET - Sentiment Analysis and Rumour Detection in Online Product Reviews
IRJET - Sentiment Analysis and Rumour Detection in Online Product ReviewsIRJET - Sentiment Analysis and Rumour Detection in Online Product Reviews
IRJET - Sentiment Analysis and Rumour Detection in Online Product Reviews
 
Review on Opinion Targets and Opinion Words Extraction Techniques from Online...
Review on Opinion Targets and Opinion Words Extraction Techniques from Online...Review on Opinion Targets and Opinion Words Extraction Techniques from Online...
Review on Opinion Targets and Opinion Words Extraction Techniques from Online...
 
Driving Customer Loyalty with Azure Machine Learning
Driving Customer Loyalty with Azure Machine LearningDriving Customer Loyalty with Azure Machine Learning
Driving Customer Loyalty with Azure Machine Learning
 
The top ten free and open-source tools for video analytics.pdf
The top ten free and open-source tools for video analytics.pdfThe top ten free and open-source tools for video analytics.pdf
The top ten free and open-source tools for video analytics.pdf
 
Study of Recommendation System Used In Tourism and Travel
Study of Recommendation System Used In Tourism and TravelStudy of Recommendation System Used In Tourism and Travel
Study of Recommendation System Used In Tourism and Travel
 
Intro to Data Analytics with Oscar's Director of Product
Intro to Data Analytics with Oscar's Director of Product Intro to Data Analytics with Oscar's Director of Product
Intro to Data Analytics with Oscar's Director of Product
 
Science Gateway Canvas
Science Gateway CanvasScience Gateway Canvas
Science Gateway Canvas
 
Guided Analytics vs. Self-Service BI: Choose Your Path to Data-driven Success!
Guided Analytics vs. Self-Service BI: Choose Your Path to Data-driven Success!Guided Analytics vs. Self-Service BI: Choose Your Path to Data-driven Success!
Guided Analytics vs. Self-Service BI: Choose Your Path to Data-driven Success!
 
NOW! Get the internet to work for you!
NOW! Get the internet to work for you!NOW! Get the internet to work for you!
NOW! Get the internet to work for you!
 
Analytics and Self Service
Analytics and Self ServiceAnalytics and Self Service
Analytics and Self Service
 
Detect Early Stress in Borrower Accounts
Detect Early Stress in Borrower Accounts Detect Early Stress in Borrower Accounts
Detect Early Stress in Borrower Accounts
 
Using the power of OpenAI with your own data: what's possible and how to start?
Using the power of OpenAI with your own data: what's possible and how to start?Using the power of OpenAI with your own data: what's possible and how to start?
Using the power of OpenAI with your own data: what's possible and how to start?
 
IRJET- Predicting Review Ratings for Product Marketing
IRJET- Predicting Review Ratings for Product MarketingIRJET- Predicting Review Ratings for Product Marketing
IRJET- Predicting Review Ratings for Product Marketing
 

Kürzlich hochgeladen

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Enterprise Knowledge
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
Principled Technologies
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Drew Madelung
 

Kürzlich hochgeladen (20)

Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 

Proposal 12 - Visual Analytics