SlideShare ist ein Scribd-Unternehmen logo
1 von 26
Downloaden Sie, um offline zu lesen
© IBM 2015 1#WatsonAnalytics
•  Single Analytics Experience
•  Fully Automated Intelligence
•  Natural Language Dialogue
•  Guided Analytic Discovery
Smarter Data Discovery
Get started at WatsonAnalytics.com
© IBM 2015 2#WatsonAnalytics
Agenda
Ian Balina
Watson Analytics Evangelist
Mid-Atlantic Region
•  What is Watson Analytics?
•  Problems With Existing Analytics Solutions
•  Why Watson Analytics is Different
•  Live Demonstration of Watson Analytics
© IBM 2015 #WatsonAnalytics 3
Three key areas were identified to bring
Watson to market:
•  Natural language processing
•  Hypothesis generation
•  Evidence-based learning
Products would be trained using artificial
intelligence (AI) and adapt with machine learning
algorithms
The Watson you know that won Jeopardy! is now an IBM brand
Watson solutions aim to enhance, scale, and accelerate human
expertise, targeting a wide range of complex challenges
Watson Analytics is a cloud based smart data discovery tool
from IBM Analytics
Watson Analytics leverages the unique cognitive capabilities of
Watson technology to accelerate the daily analytical activities of
business people in three ways:
• Provides semantic recognition of concepts in your data
• Identifies recommended starting points for analysis
• Enables interaction in natural language
How does Watson Analytics fit into the Watson family of solutions?
© IBM 2015 4#WatsonAnalytics
No data refinement
capabilities
Data exploration only
Slower to deploy, requires a
desktop installation
Creates data silos and maintenance
tasks for IT
Data needs to be manually
refined, an IT intensive task
Can only address simple business
questions
Not truly a “business user” solution
Existing “Desktop” solutions fall short
Still requires significant analytic skill
© IBM 2015 5#WatsonAnalytics
Even a simple analytics project has multiple
steps and people
Data
Access
Data
Preparation
Analysis
Validation
Collaboration
Reporting
Data Scientists
and Statisticians
Business
Users
ITBusiness
Analysts
© IBM 2015 6#WatsonAnalytics
And it’s rarely a straightforward process
Data	
  
Access	
  
Data	
  
Prepara,on	
  
Analysis	
  
Valida,on	
  
Collabora,on	
  
Repor,ng	
  
Data Scientists
and StatisticiansBusiness Users
IT
Business
Analysts
© IBM 2015 7#WatsonAnalytics
Fully Automated
Intelligence
Natural
Language
Dialogue
Guided Analytic
Discovery
Single Analytics
Experience
IBM Watson Analytics
Self-service analytics capabilities in the cloud
© IBM 2015 8#WatsonAnalytics
IBM Watson Analytics
Get Better Data
Understand Your
Business
Think Ahead
Tell a Story
© IBM 2015 9#WatsonAnalytics
IBM Watson Analytics
Get Better Data
Understand Your
Business
Think Ahead
Tell a Story
Embedded information services provide data
access and refinement
© IBM 2015 10#WatsonAnalytics
IBM Watson Analytics
Get Better Data
Understand Your
Business
Think Ahead
Tell a Story
Automated intelligence accelerates your ability
to answer questions
© IBM 2015 11#WatsonAnalytics
IBM Watson Analytics
Get Better Data
Understand Your
Business
Think Ahead
Tell a Story
Predictive analytics reveals insights and
opportunities
© IBM 2015 12#WatsonAnalytics
IBM Watson Analytics
Get Better Data
Understand Your
Business
Think Ahead
Tell a Story
Visualizations support your decisions and
communicate results
© IBM 2015 13#WatsonAnalytics
a new era of decision making
Hashtag analysis
Leverage social data to achieve a more
complete view of your business
Tap into the expressions thoughts, ideas
and sentiment on Twitter
Simply type in a Twitter hashtag
Direct connection to Twitter - no need to
import data
© IBM 2015 14#WatsonAnalytics
the power of insights!
Forecast analysis
Weather data services in the IBM cloud
Taps into the 10’s or thousands of sensors
around the world
10 billion forecasts a day
Easy integration of historical and real-time
weather
Bring weather data into decision making
***Partnership integration and implementation details not yet determined****
© IBM 2015 15#WatsonAnalytics
Watson Analytics Editions
Free Personal Professional
Amount of storage included 500MB 2GB 100GB
Number of users Single Single Multiple
Collaboration
Connector to Cognos report
data
Access to data in the cloud
(Box, Dropbox, MS
OneDrive) *
RDBMS support (dashDB,
DB2, MS SQL Server,
MySQL, Oracle, PostgreSQL,
SQL DB for Bluemix) *
Access to social data from
Twitter
25K tweets per
dataset
50K tweets per
dataset
Additional storage available
File size parameters (CSV,
TSV, XLS etc. and
compressed files)
50 columns by 100K rows 256 columns by 1M rows 500 columns by 10M rows
Choose your plan FREE $30 a month per user $80 a month per user
* Capabilities and Features for IBM Watson Analytics can change, italics represent access at a later date, please consult IBM.com for Watson Analytics editions and latest information
© IBM 2015 16#WatsonAnalytics
WatsonAnalytics.com – get started today!
© IBM 2015 17#WatsonAnalytics
Demonstration
© IBM 2015 18#WatsonAnalytics
IBM Watson Analytics marketecture
Tell a Story
Think Ahead
Understand your Business
Infrastructure
Data Sources
Get Better Data
IBM Watson Analytics
Templates &
Themes
Guided Analytics
Predictive
Drivers
Anticipate
Outcomes
Natural Language
Dialogue Automatic Insights Easy Search
Access Refinement QualityIntegration
SoftLayer
User
Administration
Data
Security
User
Interface
Items listed and product direction for IBM Watson Analytics are subject to change as advancements are made
ComplementaryIntegration
IBM
Cognos
report
data
Jumpstart Your
Analysis
Recommended
Visualizations Reusable Content Collaboration
© IBM 2015 19#WatsonAnalytics
IBM a Leader in the Forrester Wave:
Big Data Predictive Analytics Solutions, Q2 2015
The Forrester Wave is copyrighted by Forrester Research,
Inc. Forrester and Forrester Wave are trademarks of
Forrester Research, Inc. The Forrester Wave is a graphical
representation of Forrester's call on a market and is
plotted using a detailed spreadsheet with exposed scores,
weightings, and comments. Forrester does not endorse
any
vendor, product, or service depicted in the Forrester
Wave. Information is based on best available resources.
Opinions reflect judgment at the time and are subject to
change.
“IBM assembles an impressive set of capabilities, putting
predictive at the center. No matter how an organization
wants to get started with predictive analytics, IBM has an
option for them. The solution offers one of the most
comprehensive set of capabilities to build models, conduct
analysis, and deploy predictive applications: both on-
premises and in the cloud. With customers deriving
insights from data sets with scores of thousands of
features, IBM’s predictive analytics has the power to take
on truly big data and emerge with critical insights.”
Source: Forrester Research Inc. “The Forrester Wave: Big
Data Predictive Analytics Solutions, Q2 2015”, Mike
Gualtieri & Rowan Curran, April 1, 2015
© IBM 2015 20#WatsonAnalytics
Explore
Automatically
analyzes your data
and provides
questions for you
to explore Ask your own
questions about
your data using
natural language
Select and dive
deeper into
each
exploration
© IBM 2015 21#WatsonAnalytics
Explore
Continue to ask
questions about
your data using
natural language
Click on the new
insights provided by
Watson Analytics and
explore the text and
visual results
© IBM 2015 22#WatsonAnalytics
Explore
Share images
with your peers,
or email it to
your team
© IBM 2015 23#WatsonAnalytics
Explore
Add in data points
and see things
differently using the
visualization menu,
data filters, color
pallets and more
© IBM 2015 24#WatsonAnalytics
Predict
Additional
insights
discovered
for you
Pin your results
for use in
dashboards and
storytelling
Automated data
visualizations
Identified
predictors of
your target
analysis
© IBM 2015 25#WatsonAnalytics
Predict
Additional tabs for
further predictive
insights
Pinning for
dashboard and
storytelling
Top decision rule
determined for
highest
percentage of
Wins
© IBM 2015 26#WatsonAnalytics
Assemble
Include graphics,
corporate logos
and more to
personalize your
view
Create
dashboards and
infographics
from your pinned
objects
Select from a
wide array of
templates and
color schemes

Weitere ähnliche Inhalte

Was ist angesagt?

Watson Analytics for HSE - Copy
Watson Analytics for HSE - CopyWatson Analytics for HSE - Copy
Watson Analytics for HSE - CopyAlexei Cherenkov
 
What Watson Explorer is and How it works
What Watson Explorer is and How it worksWhat Watson Explorer is and How it works
What Watson Explorer is and How it worksVirginia Fernandez
 
Watson and Analytics
Watson and AnalyticsWatson and Analytics
Watson and AnalyticsJorge W. Hago
 
Oltre l’intelligenza Artificiale: agire alla velocità del pensiero
Oltre l’intelligenza Artificiale: agire alla velocità del pensieroOltre l’intelligenza Artificiale: agire alla velocità del pensiero
Oltre l’intelligenza Artificiale: agire alla velocità del pensieroJürgen Ambrosi
 
IBM Watson Explorer: Explore, analyze and interpret information for better bu...
IBM Watson Explorer: Explore, analyze and interpret information for better bu...IBM Watson Explorer: Explore, analyze and interpret information for better bu...
IBM Watson Explorer: Explore, analyze and interpret information for better bu...Virginia Fernandez
 
Big Data and Analytics: The IBM Perspective
Big Data and Analytics: The IBM PerspectiveBig Data and Analytics: The IBM Perspective
Big Data and Analytics: The IBM PerspectiveThe_IPA
 
Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterpr...
Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterpr...Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterpr...
Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterpr...Data Con LA
 
IBM Big Data Analytics - Cognitive Computing and Watson - Findability Day 2014
IBM Big Data Analytics - Cognitive Computing and Watson - Findability Day 2014IBM Big Data Analytics - Cognitive Computing and Watson - Findability Day 2014
IBM Big Data Analytics - Cognitive Computing and Watson - Findability Day 2014Findwise
 
Tools and techniques for predictive analytics
Tools and techniques for predictive analyticsTools and techniques for predictive analytics
Tools and techniques for predictive analyticsRohanKumarJumnani
 
The Big Picture: Real-time Data is Defining Intelligent Offers
The Big Picture: Real-time Data is Defining Intelligent OffersThe Big Picture: Real-time Data is Defining Intelligent Offers
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
 
InTTrust -IBM Artificial Intelligence Event
InTTrust -IBM Artificial Intelligence  EventInTTrust -IBM Artificial Intelligence  Event
InTTrust -IBM Artificial Intelligence EventMichail Pagiatakis
 
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...Precisely
 
You are not Facebook or Google? Why you should still care about Big Data and ...
You are not Facebook or Google? Why you should still care about Big Data and ...You are not Facebook or Google? Why you should still care about Big Data and ...
You are not Facebook or Google? Why you should still care about Big Data and ...Kai Wähner
 
Using Watson to build Cognitive IoT Apps on Bluemix
Using Watson to build Cognitive IoT Apps on BluemixUsing Watson to build Cognitive IoT Apps on Bluemix
Using Watson to build Cognitive IoT Apps on BluemixIBM
 
CONNtext presentation
CONNtext presentationCONNtext presentation
CONNtext presentationArmedia LLC
 
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...Impetus Technologies
 
Compositional AI: Fusion of AI/ML Services
Compositional AI: Fusion of AI/ML ServicesCompositional AI: Fusion of AI/ML Services
Compositional AI: Fusion of AI/ML ServicesDebmalya Biswas
 
Advance Data Visualization and Storytelling Virtual Workshop
Advance Data Visualization and Storytelling Virtual WorkshopAdvance Data Visualization and Storytelling Virtual Workshop
Advance Data Visualization and Storytelling Virtual WorkshopCCG
 
5 Pillars of API Management
5 Pillars of API Management5 Pillars of API Management
5 Pillars of API ManagementRich Graham
 

Was ist angesagt? (20)

Watson Analytics for HSE - Copy
Watson Analytics for HSE - CopyWatson Analytics for HSE - Copy
Watson Analytics for HSE - Copy
 
What Watson Explorer is and How it works
What Watson Explorer is and How it worksWhat Watson Explorer is and How it works
What Watson Explorer is and How it works
 
Watson and Analytics
Watson and AnalyticsWatson and Analytics
Watson and Analytics
 
IBM Watson Overview
IBM Watson OverviewIBM Watson Overview
IBM Watson Overview
 
Oltre l’intelligenza Artificiale: agire alla velocità del pensiero
Oltre l’intelligenza Artificiale: agire alla velocità del pensieroOltre l’intelligenza Artificiale: agire alla velocità del pensiero
Oltre l’intelligenza Artificiale: agire alla velocità del pensiero
 
IBM Watson Explorer: Explore, analyze and interpret information for better bu...
IBM Watson Explorer: Explore, analyze and interpret information for better bu...IBM Watson Explorer: Explore, analyze and interpret information for better bu...
IBM Watson Explorer: Explore, analyze and interpret information for better bu...
 
Big Data and Analytics: The IBM Perspective
Big Data and Analytics: The IBM PerspectiveBig Data and Analytics: The IBM Perspective
Big Data and Analytics: The IBM Perspective
 
Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterpr...
Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterpr...Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterpr...
Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterpr...
 
IBM Big Data Analytics - Cognitive Computing and Watson - Findability Day 2014
IBM Big Data Analytics - Cognitive Computing and Watson - Findability Day 2014IBM Big Data Analytics - Cognitive Computing and Watson - Findability Day 2014
IBM Big Data Analytics - Cognitive Computing and Watson - Findability Day 2014
 
Tools and techniques for predictive analytics
Tools and techniques for predictive analyticsTools and techniques for predictive analytics
Tools and techniques for predictive analytics
 
The Big Picture: Real-time Data is Defining Intelligent Offers
The Big Picture: Real-time Data is Defining Intelligent OffersThe Big Picture: Real-time Data is Defining Intelligent Offers
The Big Picture: Real-time Data is Defining Intelligent Offers
 
InTTrust -IBM Artificial Intelligence Event
InTTrust -IBM Artificial Intelligence  EventInTTrust -IBM Artificial Intelligence  Event
InTTrust -IBM Artificial Intelligence Event
 
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...
 
You are not Facebook or Google? Why you should still care about Big Data and ...
You are not Facebook or Google? Why you should still care about Big Data and ...You are not Facebook or Google? Why you should still care about Big Data and ...
You are not Facebook or Google? Why you should still care about Big Data and ...
 
Using Watson to build Cognitive IoT Apps on Bluemix
Using Watson to build Cognitive IoT Apps on BluemixUsing Watson to build Cognitive IoT Apps on Bluemix
Using Watson to build Cognitive IoT Apps on Bluemix
 
CONNtext presentation
CONNtext presentationCONNtext presentation
CONNtext presentation
 
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...
 
Compositional AI: Fusion of AI/ML Services
Compositional AI: Fusion of AI/ML ServicesCompositional AI: Fusion of AI/ML Services
Compositional AI: Fusion of AI/ML Services
 
Advance Data Visualization and Storytelling Virtual Workshop
Advance Data Visualization and Storytelling Virtual WorkshopAdvance Data Visualization and Storytelling Virtual Workshop
Advance Data Visualization and Storytelling Virtual Workshop
 
5 Pillars of API Management
5 Pillars of API Management5 Pillars of API Management
5 Pillars of API Management
 

Andere mochten auch

Big Data: Introducing BigInsights, IBM's Hadoop- and Spark-based analytical p...
Big Data: Introducing BigInsights, IBM's Hadoop- and Spark-based analytical p...Big Data: Introducing BigInsights, IBM's Hadoop- and Spark-based analytical p...
Big Data: Introducing BigInsights, IBM's Hadoop- and Spark-based analytical p...Cynthia Saracco
 
Ibm's watson
Ibm's watsonIbm's watson
Ibm's watsonHdavey01
 
Overview - IBM Big Data Platform
Overview - IBM Big Data PlatformOverview - IBM Big Data Platform
Overview - IBM Big Data PlatformVikas Manoria
 
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!Tony Pearson
 
Big Data & Analytics Architecture
Big Data & Analytics ArchitectureBig Data & Analytics Architecture
Big Data & Analytics ArchitectureArvind Sathi
 
Bring IBM Watson to your telephone
Bring IBM Watson to your telephoneBring IBM Watson to your telephone
Bring IBM Watson to your telephoneBrian Pulito
 

Andere mochten auch (8)

IBM Watson
IBM Watson IBM Watson
IBM Watson
 
IBM WATSON
IBM WATSONIBM WATSON
IBM WATSON
 
Big Data: Introducing BigInsights, IBM's Hadoop- and Spark-based analytical p...
Big Data: Introducing BigInsights, IBM's Hadoop- and Spark-based analytical p...Big Data: Introducing BigInsights, IBM's Hadoop- and Spark-based analytical p...
Big Data: Introducing BigInsights, IBM's Hadoop- and Spark-based analytical p...
 
Ibm's watson
Ibm's watsonIbm's watson
Ibm's watson
 
Overview - IBM Big Data Platform
Overview - IBM Big Data PlatformOverview - IBM Big Data Platform
Overview - IBM Big Data Platform
 
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!
 
Big Data & Analytics Architecture
Big Data & Analytics ArchitectureBig Data & Analytics Architecture
Big Data & Analytics Architecture
 
Bring IBM Watson to your telephone
Bring IBM Watson to your telephoneBring IBM Watson to your telephone
Bring IBM Watson to your telephone
 

Ähnlich wie IBM Watson Analytics Presentation

Chris Brown - Watson analytics
Chris Brown - Watson analyticsChris Brown - Watson analytics
Chris Brown - Watson analyticsIBMInterconnect
 
How to Consume Your Data for AI
How to Consume Your Data for AIHow to Consume Your Data for AI
How to Consume Your Data for AIDATAVERSITY
 
Accelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and VisualizationAccelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
 
Cogntive computing ibm workshop Assirm15
Cogntive computing ibm workshop Assirm15Cogntive computing ibm workshop Assirm15
Cogntive computing ibm workshop Assirm15Pietro Leo
 
Accelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and VisualizationAccelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
 
What has IBM Watson been up to since the Jeopardy! challenge?
What has IBM Watson been up to since the Jeopardy! challenge?What has IBM Watson been up to since the Jeopardy! challenge?
What has IBM Watson been up to since the Jeopardy! challenge?Raul Chong
 
Master the art of Data Science
Master the art of Data ScienceMaster the art of Data Science
Master the art of Data ScienceInTTrust S.A.
 
Data Science at Speed. At Scale.
Data Science at Speed. At Scale.Data Science at Speed. At Scale.
Data Science at Speed. At Scale.DataWorks Summit
 
An AI Maturity Roadmap for Becoming a Data-Driven Organization
An AI Maturity Roadmap for Becoming a Data-Driven OrganizationAn AI Maturity Roadmap for Becoming a Data-Driven Organization
An AI Maturity Roadmap for Becoming a Data-Driven OrganizationDavid Solomon
 
Webinar: Understanding Cortana Intelligence Suite & Power BI Demo
Webinar: Understanding Cortana Intelligence Suite & Power BI DemoWebinar: Understanding Cortana Intelligence Suite & Power BI Demo
Webinar: Understanding Cortana Intelligence Suite & Power BI DemoEmtec Inc.
 
Understanding Cortana Intelligence Suite & Power BI Demo
Understanding Cortana Intelligence Suite & Power BI DemoUnderstanding Cortana Intelligence Suite & Power BI Demo
Understanding Cortana Intelligence Suite & Power BI DemoElizabeth Beutjer-Feldman
 
Content Analytics
Content AnalyticsContent Analytics
Content AnalyticsSIKM
 
How IBM is Creating a Foundation for Cloud Innovation
How IBM is Creating a Foundation for Cloud InnovationHow IBM is Creating a Foundation for Cloud Innovation
How IBM is Creating a Foundation for Cloud InnovationCCG
 
IBM Watson - Cognitive Robots
IBM Watson - Cognitive RobotsIBM Watson - Cognitive Robots
IBM Watson - Cognitive RobotsJouko Poutanen
 
NOVA Data Science Meetup 1/19/2017 - Presentation 1
NOVA Data Science Meetup 1/19/2017 - Presentation 1NOVA Data Science Meetup 1/19/2017 - Presentation 1
NOVA Data Science Meetup 1/19/2017 - Presentation 1NOVA DATASCIENCE
 
Analytics et Big Data. Vers une informatique cognitive et Watson. [#CloudAcce...
Analytics et Big Data. Vers une informatique cognitive et Watson. [#CloudAcce...Analytics et Big Data. Vers une informatique cognitive et Watson. [#CloudAcce...
Analytics et Big Data. Vers une informatique cognitive et Watson. [#CloudAcce...IBM France PME-ETI
 
[한국IBM] Watson AI 소개 및 도입사례 (201904)
[한국IBM] Watson AI 소개 및 도입사례 (201904)[한국IBM] Watson AI 소개 및 도입사례 (201904)
[한국IBM] Watson AI 소개 및 도입사례 (201904)Sejeong Kim 김세정
 
[한국IBM] Watson API를 통한 디지털혁신 사례_201904
[한국IBM] Watson API를 통한 디지털혁신 사례_201904[한국IBM] Watson API를 통한 디지털혁신 사례_201904
[한국IBM] Watson API를 통한 디지털혁신 사례_201904Sejeong Kim 김세정
 
OC Big Data Monthly Meetup #6 - Session 1 - IBM
OC Big Data Monthly Meetup #6 - Session 1 - IBMOC Big Data Monthly Meetup #6 - Session 1 - IBM
OC Big Data Monthly Meetup #6 - Session 1 - IBMBig Data Joe™ Rossi
 

Ähnlich wie IBM Watson Analytics Presentation (20)

Chris Brown - Watson analytics
Chris Brown - Watson analyticsChris Brown - Watson analytics
Chris Brown - Watson analytics
 
How to Consume Your Data for AI
How to Consume Your Data for AIHow to Consume Your Data for AI
How to Consume Your Data for AI
 
Accelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and VisualizationAccelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and Visualization
 
Cogntive computing ibm workshop Assirm15
Cogntive computing ibm workshop Assirm15Cogntive computing ibm workshop Assirm15
Cogntive computing ibm workshop Assirm15
 
Accelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and VisualizationAccelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and Visualization
 
What has IBM Watson been up to since the Jeopardy! challenge?
What has IBM Watson been up to since the Jeopardy! challenge?What has IBM Watson been up to since the Jeopardy! challenge?
What has IBM Watson been up to since the Jeopardy! challenge?
 
Master the art of Data Science
Master the art of Data ScienceMaster the art of Data Science
Master the art of Data Science
 
Data Science at Speed. At Scale.
Data Science at Speed. At Scale.Data Science at Speed. At Scale.
Data Science at Speed. At Scale.
 
An AI Maturity Roadmap for Becoming a Data-Driven Organization
An AI Maturity Roadmap for Becoming a Data-Driven OrganizationAn AI Maturity Roadmap for Becoming a Data-Driven Organization
An AI Maturity Roadmap for Becoming a Data-Driven Organization
 
Webinar: Understanding Cortana Intelligence Suite & Power BI Demo
Webinar: Understanding Cortana Intelligence Suite & Power BI DemoWebinar: Understanding Cortana Intelligence Suite & Power BI Demo
Webinar: Understanding Cortana Intelligence Suite & Power BI Demo
 
Understanding Cortana Intelligence Suite & Power BI Demo
Understanding Cortana Intelligence Suite & Power BI DemoUnderstanding Cortana Intelligence Suite & Power BI Demo
Understanding Cortana Intelligence Suite & Power BI Demo
 
Content Analytics
Content AnalyticsContent Analytics
Content Analytics
 
How IBM is Creating a Foundation for Cloud Innovation
How IBM is Creating a Foundation for Cloud InnovationHow IBM is Creating a Foundation for Cloud Innovation
How IBM is Creating a Foundation for Cloud Innovation
 
Just ask Watson Seminar
Just ask Watson SeminarJust ask Watson Seminar
Just ask Watson Seminar
 
IBM Watson - Cognitive Robots
IBM Watson - Cognitive RobotsIBM Watson - Cognitive Robots
IBM Watson - Cognitive Robots
 
NOVA Data Science Meetup 1/19/2017 - Presentation 1
NOVA Data Science Meetup 1/19/2017 - Presentation 1NOVA Data Science Meetup 1/19/2017 - Presentation 1
NOVA Data Science Meetup 1/19/2017 - Presentation 1
 
Analytics et Big Data. Vers une informatique cognitive et Watson. [#CloudAcce...
Analytics et Big Data. Vers une informatique cognitive et Watson. [#CloudAcce...Analytics et Big Data. Vers une informatique cognitive et Watson. [#CloudAcce...
Analytics et Big Data. Vers une informatique cognitive et Watson. [#CloudAcce...
 
[한국IBM] Watson AI 소개 및 도입사례 (201904)
[한국IBM] Watson AI 소개 및 도입사례 (201904)[한국IBM] Watson AI 소개 및 도입사례 (201904)
[한국IBM] Watson AI 소개 및 도입사례 (201904)
 
[한국IBM] Watson API를 통한 디지털혁신 사례_201904
[한국IBM] Watson API를 통한 디지털혁신 사례_201904[한국IBM] Watson API를 통한 디지털혁신 사례_201904
[한국IBM] Watson API를 통한 디지털혁신 사례_201904
 
OC Big Data Monthly Meetup #6 - Session 1 - IBM
OC Big Data Monthly Meetup #6 - Session 1 - IBMOC Big Data Monthly Meetup #6 - Session 1 - IBM
OC Big Data Monthly Meetup #6 - Session 1 - IBM
 

Kürzlich hochgeladen

DNT_Corporate presentation know about us
DNT_Corporate presentation know about usDNT_Corporate presentation know about us
DNT_Corporate presentation know about usDynamic Netsoft
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comFatema Valibhai
 
why an Opensea Clone Script might be your perfect match.pdf
why an Opensea Clone Script might be your perfect match.pdfwhy an Opensea Clone Script might be your perfect match.pdf
why an Opensea Clone Script might be your perfect match.pdfjoe51371421
 
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...kellynguyen01
 
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdfLearn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdfkalichargn70th171
 
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected WorkerHow To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected WorkerThousandEyes
 
Right Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsRight Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsJhone kinadey
 
Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...OnePlan Solutions
 
A Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxA Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxComplianceQuest1
 
Active Directory Penetration Testing, cionsystems.com.pdf
Active Directory Penetration Testing, cionsystems.com.pdfActive Directory Penetration Testing, cionsystems.com.pdf
Active Directory Penetration Testing, cionsystems.com.pdfCionsystems
 
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...OnePlan Solutions
 
Clustering techniques data mining book ....
Clustering techniques data mining book ....Clustering techniques data mining book ....
Clustering techniques data mining book ....ShaimaaMohamedGalal
 
Software Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsSoftware Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsArshad QA
 
The Ultimate Test Automation Guide_ Best Practices and Tips.pdf
The Ultimate Test Automation Guide_ Best Practices and Tips.pdfThe Ultimate Test Automation Guide_ Best Practices and Tips.pdf
The Ultimate Test Automation Guide_ Best Practices and Tips.pdfkalichargn70th171
 
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...gurkirankumar98700
 
Test Automation Strategy for Frontend and Backend
Test Automation Strategy for Frontend and BackendTest Automation Strategy for Frontend and Backend
Test Automation Strategy for Frontend and BackendArshad QA
 
Diamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionDiamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionSolGuruz
 
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsUnveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsAlberto González Trastoy
 
5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdfWave PLM
 

Kürzlich hochgeladen (20)

DNT_Corporate presentation know about us
DNT_Corporate presentation know about usDNT_Corporate presentation know about us
DNT_Corporate presentation know about us
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.com
 
why an Opensea Clone Script might be your perfect match.pdf
why an Opensea Clone Script might be your perfect match.pdfwhy an Opensea Clone Script might be your perfect match.pdf
why an Opensea Clone Script might be your perfect match.pdf
 
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
 
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdfLearn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
 
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected WorkerHow To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
 
Right Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsRight Money Management App For Your Financial Goals
Right Money Management App For Your Financial Goals
 
Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...
 
A Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxA Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docx
 
Active Directory Penetration Testing, cionsystems.com.pdf
Active Directory Penetration Testing, cionsystems.com.pdfActive Directory Penetration Testing, cionsystems.com.pdf
Active Directory Penetration Testing, cionsystems.com.pdf
 
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
 
Clustering techniques data mining book ....
Clustering techniques data mining book ....Clustering techniques data mining book ....
Clustering techniques data mining book ....
 
Software Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsSoftware Quality Assurance Interview Questions
Software Quality Assurance Interview Questions
 
The Ultimate Test Automation Guide_ Best Practices and Tips.pdf
The Ultimate Test Automation Guide_ Best Practices and Tips.pdfThe Ultimate Test Automation Guide_ Best Practices and Tips.pdf
The Ultimate Test Automation Guide_ Best Practices and Tips.pdf
 
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
 
Test Automation Strategy for Frontend and Backend
Test Automation Strategy for Frontend and BackendTest Automation Strategy for Frontend and Backend
Test Automation Strategy for Frontend and Backend
 
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Diamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionDiamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with Precision
 
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsUnveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
 
5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf
 

IBM Watson Analytics Presentation

  • 1. © IBM 2015 1#WatsonAnalytics •  Single Analytics Experience •  Fully Automated Intelligence •  Natural Language Dialogue •  Guided Analytic Discovery Smarter Data Discovery Get started at WatsonAnalytics.com
  • 2. © IBM 2015 2#WatsonAnalytics Agenda Ian Balina Watson Analytics Evangelist Mid-Atlantic Region •  What is Watson Analytics? •  Problems With Existing Analytics Solutions •  Why Watson Analytics is Different •  Live Demonstration of Watson Analytics
  • 3. © IBM 2015 #WatsonAnalytics 3 Three key areas were identified to bring Watson to market: •  Natural language processing •  Hypothesis generation •  Evidence-based learning Products would be trained using artificial intelligence (AI) and adapt with machine learning algorithms The Watson you know that won Jeopardy! is now an IBM brand Watson solutions aim to enhance, scale, and accelerate human expertise, targeting a wide range of complex challenges Watson Analytics is a cloud based smart data discovery tool from IBM Analytics Watson Analytics leverages the unique cognitive capabilities of Watson technology to accelerate the daily analytical activities of business people in three ways: • Provides semantic recognition of concepts in your data • Identifies recommended starting points for analysis • Enables interaction in natural language How does Watson Analytics fit into the Watson family of solutions?
  • 4. © IBM 2015 4#WatsonAnalytics No data refinement capabilities Data exploration only Slower to deploy, requires a desktop installation Creates data silos and maintenance tasks for IT Data needs to be manually refined, an IT intensive task Can only address simple business questions Not truly a “business user” solution Existing “Desktop” solutions fall short Still requires significant analytic skill
  • 5. © IBM 2015 5#WatsonAnalytics Even a simple analytics project has multiple steps and people Data Access Data Preparation Analysis Validation Collaboration Reporting Data Scientists and Statisticians Business Users ITBusiness Analysts
  • 6. © IBM 2015 6#WatsonAnalytics And it’s rarely a straightforward process Data   Access   Data   Prepara,on   Analysis   Valida,on   Collabora,on   Repor,ng   Data Scientists and StatisticiansBusiness Users IT Business Analysts
  • 7. © IBM 2015 7#WatsonAnalytics Fully Automated Intelligence Natural Language Dialogue Guided Analytic Discovery Single Analytics Experience IBM Watson Analytics Self-service analytics capabilities in the cloud
  • 8. © IBM 2015 8#WatsonAnalytics IBM Watson Analytics Get Better Data Understand Your Business Think Ahead Tell a Story
  • 9. © IBM 2015 9#WatsonAnalytics IBM Watson Analytics Get Better Data Understand Your Business Think Ahead Tell a Story Embedded information services provide data access and refinement
  • 10. © IBM 2015 10#WatsonAnalytics IBM Watson Analytics Get Better Data Understand Your Business Think Ahead Tell a Story Automated intelligence accelerates your ability to answer questions
  • 11. © IBM 2015 11#WatsonAnalytics IBM Watson Analytics Get Better Data Understand Your Business Think Ahead Tell a Story Predictive analytics reveals insights and opportunities
  • 12. © IBM 2015 12#WatsonAnalytics IBM Watson Analytics Get Better Data Understand Your Business Think Ahead Tell a Story Visualizations support your decisions and communicate results
  • 13. © IBM 2015 13#WatsonAnalytics a new era of decision making Hashtag analysis Leverage social data to achieve a more complete view of your business Tap into the expressions thoughts, ideas and sentiment on Twitter Simply type in a Twitter hashtag Direct connection to Twitter - no need to import data
  • 14. © IBM 2015 14#WatsonAnalytics the power of insights! Forecast analysis Weather data services in the IBM cloud Taps into the 10’s or thousands of sensors around the world 10 billion forecasts a day Easy integration of historical and real-time weather Bring weather data into decision making ***Partnership integration and implementation details not yet determined****
  • 15. © IBM 2015 15#WatsonAnalytics Watson Analytics Editions Free Personal Professional Amount of storage included 500MB 2GB 100GB Number of users Single Single Multiple Collaboration Connector to Cognos report data Access to data in the cloud (Box, Dropbox, MS OneDrive) * RDBMS support (dashDB, DB2, MS SQL Server, MySQL, Oracle, PostgreSQL, SQL DB for Bluemix) * Access to social data from Twitter 25K tweets per dataset 50K tweets per dataset Additional storage available File size parameters (CSV, TSV, XLS etc. and compressed files) 50 columns by 100K rows 256 columns by 1M rows 500 columns by 10M rows Choose your plan FREE $30 a month per user $80 a month per user * Capabilities and Features for IBM Watson Analytics can change, italics represent access at a later date, please consult IBM.com for Watson Analytics editions and latest information
  • 16. © IBM 2015 16#WatsonAnalytics WatsonAnalytics.com – get started today!
  • 17. © IBM 2015 17#WatsonAnalytics Demonstration
  • 18. © IBM 2015 18#WatsonAnalytics IBM Watson Analytics marketecture Tell a Story Think Ahead Understand your Business Infrastructure Data Sources Get Better Data IBM Watson Analytics Templates & Themes Guided Analytics Predictive Drivers Anticipate Outcomes Natural Language Dialogue Automatic Insights Easy Search Access Refinement QualityIntegration SoftLayer User Administration Data Security User Interface Items listed and product direction for IBM Watson Analytics are subject to change as advancements are made ComplementaryIntegration IBM Cognos report data Jumpstart Your Analysis Recommended Visualizations Reusable Content Collaboration
  • 19. © IBM 2015 19#WatsonAnalytics IBM a Leader in the Forrester Wave: Big Data Predictive Analytics Solutions, Q2 2015 The Forrester Wave is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of Forrester Research, Inc. The Forrester Wave is a graphical representation of Forrester's call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor, product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change. “IBM assembles an impressive set of capabilities, putting predictive at the center. No matter how an organization wants to get started with predictive analytics, IBM has an option for them. The solution offers one of the most comprehensive set of capabilities to build models, conduct analysis, and deploy predictive applications: both on- premises and in the cloud. With customers deriving insights from data sets with scores of thousands of features, IBM’s predictive analytics has the power to take on truly big data and emerge with critical insights.” Source: Forrester Research Inc. “The Forrester Wave: Big Data Predictive Analytics Solutions, Q2 2015”, Mike Gualtieri & Rowan Curran, April 1, 2015
  • 20. © IBM 2015 20#WatsonAnalytics Explore Automatically analyzes your data and provides questions for you to explore Ask your own questions about your data using natural language Select and dive deeper into each exploration
  • 21. © IBM 2015 21#WatsonAnalytics Explore Continue to ask questions about your data using natural language Click on the new insights provided by Watson Analytics and explore the text and visual results
  • 22. © IBM 2015 22#WatsonAnalytics Explore Share images with your peers, or email it to your team
  • 23. © IBM 2015 23#WatsonAnalytics Explore Add in data points and see things differently using the visualization menu, data filters, color pallets and more
  • 24. © IBM 2015 24#WatsonAnalytics Predict Additional insights discovered for you Pin your results for use in dashboards and storytelling Automated data visualizations Identified predictors of your target analysis
  • 25. © IBM 2015 25#WatsonAnalytics Predict Additional tabs for further predictive insights Pinning for dashboard and storytelling Top decision rule determined for highest percentage of Wins
  • 26. © IBM 2015 26#WatsonAnalytics Assemble Include graphics, corporate logos and more to personalize your view Create dashboards and infographics from your pinned objects Select from a wide array of templates and color schemes