SlideShare a Scribd company logo

What is the Data Panel

•
•
Penn State EdTech Network
Penn State EdTech Network

Panel presentation from the IBM Watson team at Penn State's Nittany Watson Challenge Immersion event on January 19-20, 2017.

Education
1 of 5
Download to read offline
IBM Systems #nittanywatson What’s the Data? Nittany Watson Challenge
IBM SystemsIBM Systems Michael Gildein IBM z/OS Analytics Test Architect Mike Pointer IBM Watson Solution Architect Matt Haller IBM Bluemix Platform Mohammad Ahmed IBM Executive IT Cognitive Specialist Enrique Kortright IB Executive IT Architect Rich Prewitt IBM Chief Test Architect
IBM SystemsIBM Systems Help address the issue of determining if credits can be transferred to Penn State as part of the enrollment process. Transfer Credits | 324 January 2017
IBM SystemsIBM Systems Key Takeaways 1. Create an end goal to achieve 2. Data is key but may not not exist yet 3. Document your research and process (create more data!) 4. Solutions do not come overnight 5. Always focus on the end user experience 6. Do not fixate on what is here now but what we can do in the future 7. THINK! | 424 January 2017
IBM SystemsIBM Systems Questions? | 524 January 2017

Recommended

Measuring Data Quality with DataOps
Measuring Data Quality with DataOpsMeasuring Data Quality with DataOps
Measuring Data Quality with DataOpsSteven Ensslen
 
Moving from BI to AI : For decision makers
Moving from BI to AI : For decision makersMoving from BI to AI : For decision makers
Moving from BI to AI : For decision makerszekeLabs Technologies
 
Low-tech, Low-cost data management: Six insights from national reporting on f...
Low-tech, Low-cost data management: Six insights from national reporting on f...Low-tech, Low-cost data management: Six insights from national reporting on f...
Low-tech, Low-cost data management: Six insights from national reporting on f...srjbridge
 
Introduction to Data Engineering
Introduction to Data EngineeringIntroduction to Data Engineering
Introduction to Data EngineeringVivek Aanand Ganesan
 
Applied Data Science Course Part 1: Concepts & your first ML model
Applied Data Science Course Part 1: Concepts & your first ML modelApplied Data Science Course Part 1: Concepts & your first ML model
Applied Data Science Course Part 1: Concepts & your first ML modelDataiku
 
Washington DC DataOps Meetup -- Nov 2019
Washington DC DataOps Meetup -- Nov 2019Washington DC DataOps Meetup -- Nov 2019
Washington DC DataOps Meetup -- Nov 2019DataKitchen
 
Data & AI Platform Concepts
Data & AI Platform ConceptsData & AI Platform Concepts
Data & AI Platform ConceptsAnkit Rathi
 
From Hadoop to Enterprise Data Warehouse
From Hadoop to Enterprise Data WarehouseFrom Hadoop to Enterprise Data Warehouse
From Hadoop to Enterprise Data WarehouseBui Ha
 

Recommended

Measuring Data Quality with DataOps
Measuring Data Quality with DataOpsMeasuring Data Quality with DataOps
Measuring Data Quality with DataOpsSteven Ensslen
 
Moving from BI to AI : For decision makers
Moving from BI to AI : For decision makersMoving from BI to AI : For decision makers
Moving from BI to AI : For decision makerszekeLabs Technologies
 
Low-tech, Low-cost data management: Six insights from national reporting on f...
Low-tech, Low-cost data management: Six insights from national reporting on f...Low-tech, Low-cost data management: Six insights from national reporting on f...
Low-tech, Low-cost data management: Six insights from national reporting on f...srjbridge
 
Introduction to Data Engineering
Introduction to Data EngineeringIntroduction to Data Engineering
Introduction to Data EngineeringVivek Aanand Ganesan
 
Applied Data Science Course Part 1: Concepts & your first ML model
Applied Data Science Course Part 1: Concepts & your first ML modelApplied Data Science Course Part 1: Concepts & your first ML model
Applied Data Science Course Part 1: Concepts & your first ML modelDataiku
 
Washington DC DataOps Meetup -- Nov 2019
Washington DC DataOps Meetup -- Nov 2019Washington DC DataOps Meetup -- Nov 2019
Washington DC DataOps Meetup -- Nov 2019DataKitchen
 
Data & AI Platform Concepts
Data & AI Platform ConceptsData & AI Platform Concepts
Data & AI Platform ConceptsAnkit Rathi
 
From Hadoop to Enterprise Data Warehouse
From Hadoop to Enterprise Data WarehouseFrom Hadoop to Enterprise Data Warehouse
From Hadoop to Enterprise Data WarehouseBui Ha
 
Introduction Big Data
Introduction Big DataIntroduction Big Data
Introduction Big DataFrank Kienle
 
Big data - A Really Big Enchilada?
Big data - A Really Big Enchilada?Big data - A Really Big Enchilada?
Big data - A Really Big Enchilada?Keshav Deshpande
 
Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01
Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01
Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01Soujanya V
 
AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...
AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...
AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...Stavros Papadopoulos
 
Big Data/Cloudera from Excelerate Systems
Big Data/Cloudera from Excelerate SystemsBig Data/Cloudera from Excelerate Systems
Big Data/Cloudera from Excelerate SystemsDavid Bennett
 
Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...
Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...
Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...Betacowork
 
Understanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application QualityUnderstanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application QualityDevOps.com
 
The lean principles of data ops
The lean principles of data opsThe lean principles of data ops
The lean principles of data opsLars Albertsson
 
Modern Data Architecture
Modern Data Architecture Modern Data Architecture
Modern Data Architecture Mark Hewitt
 
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data Modeler
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data ModelerThe Heart of Data Modeling: The Best Data Modeler is a Lazy Data Modeler
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data ModelerDATAVERSITY
 
Dsc 2021 presentation_radovan_bacovic
Dsc 2021 presentation_radovan_bacovicDsc 2021 presentation_radovan_bacovic
Dsc 2021 presentation_radovan_bacovicRadovan Baćović
 
From Volume to Value - A Guide to Data Engineering
From Volume to Value - A Guide to Data EngineeringFrom Volume to Value - A Guide to Data Engineering
From Volume to Value - A Guide to Data EngineeringRy Walker
 
Reducing Technology Risks Through Prototyping
Reducing Technology Risks Through Prototyping Reducing Technology Risks Through Prototyping
Reducing Technology Risks Through Prototyping Valdas Maksimavičius
 
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced features
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced featuresLearning Tableau - Data, Graphs, Filters, Dashboards and Advanced features
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced featuresVenkata Reddy Konasani
 
Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...
Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...
Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...Rehgan Avon
 
Big data technology
Big data technology Big data technology
Big data technology omer mohamed abd alrhman
 
Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science Venkata Reddy Konasani
 
The Rise of the DataOps - Dataiku - J On the Beach 2016
The Rise of the DataOps - Dataiku - J On the Beach 2016 The Rise of the DataOps - Dataiku - J On the Beach 2016
The Rise of the DataOps - Dataiku - J On the Beach 2016 Dataiku
 
Your Data Nerd Friends Need You!
Your Data Nerd Friends Need You! Your Data Nerd Friends Need You!
Your Data Nerd Friends Need You! DataKitchen
 
What Comes After The Star Schema? Dimensional Modeling For Enterprise Data Hubs
What Comes After The Star Schema? Dimensional Modeling For Enterprise Data HubsWhat Comes After The Star Schema? Dimensional Modeling For Enterprise Data Hubs
What Comes After The Star Schema? Dimensional Modeling For Enterprise Data HubsCloudera, Inc.
 
Data Cleansing
Data CleansingData Cleansing
Data CleansingPenn State EdTech Network
 
Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...
Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...
Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...WithTheBest
 

More Related Content

What's hot

Introduction Big Data
Introduction Big DataIntroduction Big Data
Introduction Big DataFrank Kienle
 
Big data - A Really Big Enchilada?
Big data - A Really Big Enchilada?Big data - A Really Big Enchilada?
Big data - A Really Big Enchilada?Keshav Deshpande
 
Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01
Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01
Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01Soujanya V
 
AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...
AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...
AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...Stavros Papadopoulos
 
Big Data/Cloudera from Excelerate Systems
Big Data/Cloudera from Excelerate SystemsBig Data/Cloudera from Excelerate Systems
Big Data/Cloudera from Excelerate SystemsDavid Bennett
 
Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...
Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...
Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...Betacowork
 
Understanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application QualityUnderstanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application QualityDevOps.com
 
The lean principles of data ops
The lean principles of data opsThe lean principles of data ops
The lean principles of data opsLars Albertsson
 
Modern Data Architecture
Modern Data Architecture Modern Data Architecture
Modern Data Architecture Mark Hewitt
 
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data Modeler
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data ModelerThe Heart of Data Modeling: The Best Data Modeler is a Lazy Data Modeler
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data ModelerDATAVERSITY
 
Dsc 2021 presentation_radovan_bacovic
Dsc 2021 presentation_radovan_bacovicDsc 2021 presentation_radovan_bacovic
Dsc 2021 presentation_radovan_bacovicRadovan Baćović
 
From Volume to Value - A Guide to Data Engineering
From Volume to Value - A Guide to Data EngineeringFrom Volume to Value - A Guide to Data Engineering
From Volume to Value - A Guide to Data EngineeringRy Walker
 
Reducing Technology Risks Through Prototyping
Reducing Technology Risks Through Prototyping Reducing Technology Risks Through Prototyping
Reducing Technology Risks Through Prototyping Valdas Maksimavičius
 
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced features
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced featuresLearning Tableau - Data, Graphs, Filters, Dashboards and Advanced features
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced featuresVenkata Reddy Konasani
 
Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...
Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...
Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...Rehgan Avon
 
Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science Venkata Reddy Konasani
 
The Rise of the DataOps - Dataiku - J On the Beach 2016
The Rise of the DataOps - Dataiku - J On the Beach 2016 The Rise of the DataOps - Dataiku - J On the Beach 2016
The Rise of the DataOps - Dataiku - J On the Beach 2016 Dataiku
 
Your Data Nerd Friends Need You!
Your Data Nerd Friends Need You! Your Data Nerd Friends Need You!
Your Data Nerd Friends Need You! DataKitchen
 
What Comes After The Star Schema? Dimensional Modeling For Enterprise Data Hubs
What Comes After The Star Schema? Dimensional Modeling For Enterprise Data HubsWhat Comes After The Star Schema? Dimensional Modeling For Enterprise Data Hubs
What Comes After The Star Schema? Dimensional Modeling For Enterprise Data HubsCloudera, Inc.
 

What's hot (20)

Introduction Big Data
Introduction Big DataIntroduction Big Data
Introduction Big Data
 
Big data - A Really Big Enchilada?
Big data - A Really Big Enchilada?Big data - A Really Big Enchilada?
Big data - A Really Big Enchilada?
 
Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01
Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01
Bigdataissueschallengestoolsngoodpractices 141130054740-conversion-gate01
 
AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...
AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...
AIS data management and time series analytics on TileDB Cloud (Webinar, Feb 3...
 
Big Data/Cloudera from Excelerate Systems
Big Data/Cloudera from Excelerate SystemsBig Data/Cloudera from Excelerate Systems
Big Data/Cloudera from Excelerate Systems
 
Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...
Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...
Course 4 : Big Data Structuring, Integration and Management Systems by Daan G...
 
Understanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application QualityUnderstanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application Quality
 
The lean principles of data ops
The lean principles of data opsThe lean principles of data ops
The lean principles of data ops
 
Modern Data Architecture
Modern Data Architecture Modern Data Architecture
Modern Data Architecture
 
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data Modeler
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data ModelerThe Heart of Data Modeling: The Best Data Modeler is a Lazy Data Modeler
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data Modeler
 
Dsc 2021 presentation_radovan_bacovic
Dsc 2021 presentation_radovan_bacovicDsc 2021 presentation_radovan_bacovic
Dsc 2021 presentation_radovan_bacovic
 
From Volume to Value - A Guide to Data Engineering
From Volume to Value - A Guide to Data EngineeringFrom Volume to Value - A Guide to Data Engineering
From Volume to Value - A Guide to Data Engineering
 
Reducing Technology Risks Through Prototyping
Reducing Technology Risks Through Prototyping Reducing Technology Risks Through Prototyping
Reducing Technology Risks Through Prototyping
 
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced features
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced featuresLearning Tableau - Data, Graphs, Filters, Dashboards and Advanced features
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced features
 
Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...
Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...
Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a...
 
Big data technology
Big data technology Big data technology
Big data technology
 
Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science
 
The Rise of the DataOps - Dataiku - J On the Beach 2016
The Rise of the DataOps - Dataiku - J On the Beach 2016 The Rise of the DataOps - Dataiku - J On the Beach 2016
The Rise of the DataOps - Dataiku - J On the Beach 2016
 
Your Data Nerd Friends Need You!
Your Data Nerd Friends Need You! Your Data Nerd Friends Need You!
Your Data Nerd Friends Need You!
 
What Comes After The Star Schema? Dimensional Modeling For Enterprise Data Hubs
What Comes After The Star Schema? Dimensional Modeling For Enterprise Data HubsWhat Comes After The Star Schema? Dimensional Modeling For Enterprise Data Hubs
What Comes After The Star Schema? Dimensional Modeling For Enterprise Data Hubs
 

Viewers also liked

Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...
Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...
Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...WithTheBest
 
Design Thinking Workshop at Nittany Watson Challenge
Design Thinking Workshop at Nittany Watson ChallengeDesign Thinking Workshop at Nittany Watson Challenge
Design Thinking Workshop at Nittany Watson ChallengePenn State EdTech Network
 
Visual recognition
Visual recognitionVisual recognition
Visual recognitionarey liu
 
Nittany Watson Challenge Opening Presentations
Nittany Watson Challenge Opening PresentationsNittany Watson Challenge Opening Presentations
Nittany Watson Challenge Opening PresentationsPenn State EdTech Network
 
Using Bluemix and Node-RED for Fast Prototyping
Using Bluemix and Node-RED for Fast PrototypingUsing Bluemix and Node-RED for Fast Prototyping
Using Bluemix and Node-RED for Fast PrototypingPenn State EdTech Network
 
Introduction to Cognitive Computing the science behind and use of IBM Watson
Introduction to Cognitive Computing the science behind and use of IBM WatsonIntroduction to Cognitive Computing the science behind and use of IBM Watson
Introduction to Cognitive Computing the science behind and use of IBM WatsonSubhendu Dey
 
Building an Image Recognition Service - How to leverage IBM Watson for visual...
Building an Image Recognition Service - How to leverage IBM Watson for visual...Building an Image Recognition Service - How to leverage IBM Watson for visual...
Building an Image Recognition Service - How to leverage IBM Watson for visual...10x Nation
 
Cognitive IBM Watson Services for Bluemix Developers
Cognitive IBM Watson Services for Bluemix DevelopersCognitive IBM Watson Services for Bluemix Developers
Cognitive IBM Watson Services for Bluemix DevelopersNiklas Heidloff
 
IBM Watson Developer Cloud Vision Services
IBM Watson Developer Cloud Vision ServicesIBM Watson Developer Cloud Vision Services
IBM Watson Developer Cloud Vision ServicesIBM Watson
 
Watson API Use Case Demos for the Nittany Watson Challenge
Watson API Use Case Demos for the Nittany Watson ChallengeWatson API Use Case Demos for the Nittany Watson Challenge
Watson API Use Case Demos for the Nittany Watson ChallengePenn State EdTech Network
 
Mastering the Art of Conversation
Mastering the Art of ConversationMastering the Art of Conversation
Mastering the Art of ConversationOliver Cox
 
Trace Criminal using IBM Watson
Trace Criminal using IBM WatsonTrace Criminal using IBM Watson
Trace Criminal using IBM WatsonAmitava Roy
 

Viewers also liked (16)

Data Cleansing
Data CleansingData Cleansing
Data Cleansing
 
Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...
Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...
Hands-on, Build an IoT app using IBM Bluemix, NodeRED and Simulated Sensor - ...
 
Design Thinking Workshop at Nittany Watson Challenge
Design Thinking Workshop at Nittany Watson ChallengeDesign Thinking Workshop at Nittany Watson Challenge
Design Thinking Workshop at Nittany Watson Challenge
 
Visual recognition
Visual recognitionVisual recognition
Visual recognition
 
Nittany Watson Challenge Opening Presentations
Nittany Watson Challenge Opening PresentationsNittany Watson Challenge Opening Presentations
Nittany Watson Challenge Opening Presentations
 
IBM Watson Tradeoff Analytics AlChemy
IBM Watson Tradeoff Analytics AlChemyIBM Watson Tradeoff Analytics AlChemy
IBM Watson Tradeoff Analytics AlChemy
 
Using Bluemix and Node-RED for Fast Prototyping
Using Bluemix and Node-RED for Fast PrototypingUsing Bluemix and Node-RED for Fast Prototyping
Using Bluemix and Node-RED for Fast Prototyping
 
Introduction to Cognitive Computing the science behind and use of IBM Watson
Introduction to Cognitive Computing the science behind and use of IBM WatsonIntroduction to Cognitive Computing the science behind and use of IBM Watson
Introduction to Cognitive Computing the science behind and use of IBM Watson
 
Building an Image Recognition Service - How to leverage IBM Watson for visual...
Building an Image Recognition Service - How to leverage IBM Watson for visual...Building an Image Recognition Service - How to leverage IBM Watson for visual...
Building an Image Recognition Service - How to leverage IBM Watson for visual...
 
Cognitive IBM Watson Services for Bluemix Developers
Cognitive IBM Watson Services for Bluemix DevelopersCognitive IBM Watson Services for Bluemix Developers
Cognitive IBM Watson Services for Bluemix Developers
 
IBM Watson Developer Cloud Vision Services
IBM Watson Developer Cloud Vision ServicesIBM Watson Developer Cloud Vision Services
IBM Watson Developer Cloud Vision Services
 
Introduction to Bluemix
Introduction to BluemixIntroduction to Bluemix
Introduction to Bluemix
 
Watson API Use Case Demos for the Nittany Watson Challenge
Watson API Use Case Demos for the Nittany Watson ChallengeWatson API Use Case Demos for the Nittany Watson Challenge
Watson API Use Case Demos for the Nittany Watson Challenge
 
Mastering the Art of Conversation
Mastering the Art of ConversationMastering the Art of Conversation
Mastering the Art of Conversation
 
Trace Criminal using IBM Watson
Trace Criminal using IBM WatsonTrace Criminal using IBM Watson
Trace Criminal using IBM Watson
 
IBM Watson Overview
IBM Watson OverviewIBM Watson Overview
IBM Watson Overview
 

Similar to What is the Data Panel

Webinar planning analytics 21 03-2017
Webinar planning analytics 21 03-2017Webinar planning analytics 21 03-2017
Webinar planning analytics 21 03-2017Finext
 
Process mining: The role of Data in Business Processes
Process mining: The role of Data in Business ProcessesProcess mining: The role of Data in Business Processes
Process mining: The role of Data in Business ProcessesBonitasoft
 
SMB50: State of the Union: Service Management
SMB50: State of the Union: Service ManagementSMB50: State of the Union: Service Management
SMB50: State of the Union: Service ManagementIvanti
 
Decision optimization how to carry projects
Decision optimization how to carry projectsDecision optimization how to carry projects
Decision optimization how to carry projectsssuser0bebd2
 
Ml, AI and IBM Watson - 101 for Business
Ml, AI and IBM Watson - 101 for BusinessMl, AI and IBM Watson - 101 for Business
Ml, AI and IBM Watson - 101 for BusinessJouko Poutanen
 
Where the data jobs are? A Data PDX talk
Where the data jobs are? A Data PDX talkWhere the data jobs are? A Data PDX talk
Where the data jobs are? A Data PDX talkSteven Miller
 
The exciting new world of code & data
The exciting new world of code & dataThe exciting new world of code & data
The exciting new world of code & dataSteven Miller
 
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh JainAgile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh JainAgileNetwork
 
Infrastructure Designed for Cognitive Workloads: Why is it Crucial? - Xavier ...
Infrastructure Designed for Cognitive Workloads: Why is it Crucial? - Xavier ...Infrastructure Designed for Cognitive Workloads: Why is it Crucial? - Xavier ...
Infrastructure Designed for Cognitive Workloads: Why is it Crucial? - Xavier ...WithTheBest
 
Moving from BI to AI : For decision makers
Moving from BI to AI : For decision makersMoving from BI to AI : For decision makers
Moving from BI to AI : For decision makerszekeLabs Technologies
 
Accelerate business transformation with AI Builder
Accelerate business transformation with AI BuilderAccelerate business transformation with AI Builder
Accelerate business transformation with AI BuilderHamish Sheild
 
IT Trends - DAV Centenary College Presentation by Deepak Chauhan
IT Trends - DAV Centenary College Presentation by Deepak ChauhanIT Trends - DAV Centenary College Presentation by Deepak Chauhan
IT Trends - DAV Centenary College Presentation by Deepak ChauhanVOCSO Technologies
 
Avoid hiring data ninja rockstars: how to build effective data teams
Avoid hiring data ninja rockstars: how to build effective data teamsAvoid hiring data ninja rockstars: how to build effective data teams
Avoid hiring data ninja rockstars: how to build effective data teamsJodieBurchell1
 
AU Talk at the Unity Technologies Micro-Theater
AU Talk at the Unity Technologies Micro-TheaterAU Talk at the Unity Technologies Micro-Theater
AU Talk at the Unity Technologies Micro-TheaterBrett Young
 
Web Analytics & Data Warehousing Preso For Syncsort
Web Analytics & Data Warehousing Preso For SyncsortWeb Analytics & Data Warehousing Preso For Syncsort
Web Analytics & Data Warehousing Preso For SyncsortThe Content Advisory
 
Getting Data Quality Right
Getting Data Quality RightGetting Data Quality Right
Getting Data Quality RightDATAVERSITY
 
Pitfalls and pro-tips for effective and transparent Business Intelligence too...
Pitfalls and pro-tips for effective and transparent Business Intelligence too...Pitfalls and pro-tips for effective and transparent Business Intelligence too...
Pitfalls and pro-tips for effective and transparent Business Intelligence too...Data Con LA
 
SharePoint investment (and ways to get a better ROI)
SharePoint investment (and ways to get a better ROI)SharePoint investment (and ways to get a better ROI)
SharePoint investment (and ways to get a better ROI)Kamil Bączyk
 
IT Outsourcing - The GM Way
IT Outsourcing - The GM WayIT Outsourcing - The GM Way
IT Outsourcing - The GM Wayuapippo
 

Similar to What is the Data Panel (20)

Webinar planning analytics 21 03-2017
Webinar planning analytics 21 03-2017Webinar planning analytics 21 03-2017
Webinar planning analytics 21 03-2017
 
Process mining: The role of Data in Business Processes
Process mining: The role of Data in Business ProcessesProcess mining: The role of Data in Business Processes
Process mining: The role of Data in Business Processes
 
SMB50: State of the Union: Service Management
SMB50: State of the Union: Service ManagementSMB50: State of the Union: Service Management
SMB50: State of the Union: Service Management
 
Decision optimization how to carry projects
Decision optimization how to carry projectsDecision optimization how to carry projects
Decision optimization how to carry projects
 
Ml, AI and IBM Watson - 101 for Business
Ml, AI and IBM Watson - 101 for BusinessMl, AI and IBM Watson - 101 for Business
Ml, AI and IBM Watson - 101 for Business
 
Where the data jobs are? A Data PDX talk
Where the data jobs are? A Data PDX talkWhere the data jobs are? A Data PDX talk
Where the data jobs are? A Data PDX talk
 
The exciting new world of code & data
The exciting new world of code & dataThe exciting new world of code & data
The exciting new world of code & data
 
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh JainAgile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain
 
Infrastructure Designed for Cognitive Workloads: Why is it Crucial? - Xavier ...
Infrastructure Designed for Cognitive Workloads: Why is it Crucial? - Xavier ...Infrastructure Designed for Cognitive Workloads: Why is it Crucial? - Xavier ...
Infrastructure Designed for Cognitive Workloads: Why is it Crucial? - Xavier ...
 
Moving from BI to AI : For decision makers
Moving from BI to AI : For decision makersMoving from BI to AI : For decision makers
Moving from BI to AI : For decision makers
 
Accelerate business transformation with AI Builder
Accelerate business transformation with AI BuilderAccelerate business transformation with AI Builder
Accelerate business transformation with AI Builder
 
IT scope
IT scopeIT scope
IT scope
 
IT Trends - DAV Centenary College Presentation by Deepak Chauhan
IT Trends - DAV Centenary College Presentation by Deepak ChauhanIT Trends - DAV Centenary College Presentation by Deepak Chauhan
IT Trends - DAV Centenary College Presentation by Deepak Chauhan
 
Avoid hiring data ninja rockstars: how to build effective data teams
Avoid hiring data ninja rockstars: how to build effective data teamsAvoid hiring data ninja rockstars: how to build effective data teams
Avoid hiring data ninja rockstars: how to build effective data teams
 
AU Talk at the Unity Technologies Micro-Theater
AU Talk at the Unity Technologies Micro-TheaterAU Talk at the Unity Technologies Micro-Theater
AU Talk at the Unity Technologies Micro-Theater
 
Web Analytics & Data Warehousing Preso For Syncsort
Web Analytics & Data Warehousing Preso For SyncsortWeb Analytics & Data Warehousing Preso For Syncsort
Web Analytics & Data Warehousing Preso For Syncsort
 
Getting Data Quality Right
Getting Data Quality RightGetting Data Quality Right
Getting Data Quality Right
 
Pitfalls and pro-tips for effective and transparent Business Intelligence too...
Pitfalls and pro-tips for effective and transparent Business Intelligence too...Pitfalls and pro-tips for effective and transparent Business Intelligence too...
Pitfalls and pro-tips for effective and transparent Business Intelligence too...
 
SharePoint investment (and ways to get a better ROI)
SharePoint investment (and ways to get a better ROI)SharePoint investment (and ways to get a better ROI)
SharePoint investment (and ways to get a better ROI)
 
IT Outsourcing - The GM Way
IT Outsourcing - The GM WayIT Outsourcing - The GM Way
IT Outsourcing - The GM Way
 

Recently uploaded

Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitolTechU
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...jaredbarbolino94
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Meghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentMeghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentInMediaRes1
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersFull Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 

Recently uploaded (20)

Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptx
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...
 
ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Meghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentMeghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media Component
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersFull Stack Web Development Course for Beginners
Full Stack Web Development Course for Beginners
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 

What is the Data Panel

  • 1. IBM Systems #nittanywatson What’s the Data? Nittany Watson Challenge
  • 2. IBM SystemsIBM Systems Michael Gildein IBM z/OS Analytics Test Architect Mike Pointer IBM Watson Solution Architect Matt Haller IBM Bluemix Platform Mohammad Ahmed IBM Executive IT Cognitive Specialist Enrique Kortright IB Executive IT Architect Rich Prewitt IBM Chief Test Architect
  • 3. IBM SystemsIBM Systems Help address the issue of determining if credits can be transferred to Penn State as part of the enrollment process. Transfer Credits | 324 January 2017
  • 4. IBM SystemsIBM Systems Key Takeaways 1. Create an end goal to achieve 2. Data is key but may not not exist yet 3. Document your research and process (create more data!) 4. Solutions do not come overnight 5. Always focus on the end user experience 6. Do not fixate on what is here now but what we can do in the future 7. THINK! | 424 January 2017