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1Copyright © 2013 Tata Consultancy Services Limited
K. Ananth Krishnan
Vice President & Chief Technology Officer
What it takes to predict the future?
TCS Predictive Analytics Event
2
Agenda
 TCS Research Agenda
 The Digital 5 Forces
 Beyond Enterprise Information Fusion
Prescriptive, Adaptive Analytics
Contextual Intelligence
 Analytics and Data Innovation
 Co-Innovation Opportunities
3
TCS Invention Agenda
Research
Areas
Software
Systems
Applications
and
Sciences
Software and Services Life Cycle
Domain Knowledge
Enterprise Systems
Information Systems
Communication Systems
Cyber-physical Systems
Engineering Sciences
Life Sciences
Data Sciences
People Sciences
4
Digital Forces Are Re-Imagining The Business
AI &
Robotics
Mobility & Pervasive
Computing
Cloud
Big Data
Analytics
Social
Media
Five
Digital
Forces
Business Models
Channels
Products & Services
Business Processes
Customer Segments
Workplaces
5
Enterprise Information Fusion
Voice of Customer
Supply-Chain Monitoring
Social CRM
Competitive Intelligence
i-Sourcing
Real-Time Data
Harmonization
Temporal Pattern Mining
Real-Time Insights
Sense
Analyze
Deep Text Mining
Demand-Signal Refinement Relationship Discovery
Exploit
Enterprise Social
Intelligence
Next-Gen KM
Email Analytics
Sensor Analytics
Real-Time Collaboration
@
Suppliers
Sales History
Customers
Filter
6
Beyond Enterprise Information Fusion
Anticipate Detect Predict Prescribe
7
Adaptive
Predictive
Prescription
Decision
Support &
Feedback
Mining &
Knowledge
Discovery
Simulation &
Optimization
Modeling
Information Fusion
Integrating predictive modeling with simulation models and optimization
8
Prediction
Model
Simulation
Model
Optimization Model
Cost Model
Recent Data and Strategy used
Prescribed Strategy
PredictionProposed Strategy
Simulated Data
& Strategy used
Domain
Priors
Inverse Inference
in Scientific
Computing
After Market
Servicing
Demand Signal
Refinement
9
Recommendation
Retrieval &
Relevance Feedback
Content
Models &
Mining
Context
Models & Mining
(User Activity Tracking)
Models of
Contextual
Needs
(Needs & Scenarios)
Information Fusion
10
Data as an enabler of value:
The journey continues!Complexity
Business Value
 Deployment of BI Tools
 Content Management
 Data Cleansing
 Data Transformation
 Operational Data Warehousing
 Real-time Process Analytics
 Outsourced Reporting Services
 Point Solutions Real-World
Awareness and Response
 In-depth Analysis & Insights
from External Sources
 Data-Intensive BI Platforms
 Segmentation & Profiling
 Forecasting, Cross-sell
Loyalty Churn, Fraud
High
HighLow
External
Insights
Real-time
Business
Intelligence
Data Warehousing
OLAP &
Knowledge Management
Predictive
Analytics
Information Fusion
Services for
Real-time Response
 Global Situation
Awareness
 Integration of External and
Internal Intelligence
 Automated Processing of
Inputs – Text, Video and
Real-time Awareness
 Pro-active Suggestion for
Remedial Actions
 Bridging Enterprise Silos
Real-World
Awareness
Data-Intensive
Real-time BI
Reporting
Services
11
Many More Datasets are becoming useful
Genomes
Things
Materials
People
The Web
12
TCS Innovation Agenda: Analytics in every Theme!
Innovation
Themes
Optimize
Digitize
AnalyzeDe-Risk
Sustain
Analytics-led IT Transformation
Software Engineering Tools
Domain-aware processes
Internet of Everything
Social in the Enterprise
ICME
Information Fusion
Connected Marketing
Supply Chains
Security and DRM
Privacy
GRC Platforms
Green IT
IT for Green
Water
Frugal
Health
13
Opportunities to collaborate: TCS COINTM
Ecosystem of innovative partners
encompassing:
 Academic Institutions,
 Start up companies,
 Venture Funds & Multi-lateral
organizations ,
 Strategic Alliance partners,
 Tata Group companies,
 and TCS customers
COIN™ is a rich and diverse network that drives innovation in an open
community:
TCS
Innovation
Labs
Startups
Customers
Research
Institutions
Academic
Institutions
Student
Community
Venture
Capitalists
Entrepreneurs
In Residence
Alliance
Partners
Consultants
Industry BodiesTATA
Group
14
Summary
 TCS Research Agenda
 The Digital 5 Forces
 Beyond Enterprise Information Fusion
Prescriptive, Adaptive Analytics
Contextual Intelligence
 Analytics and Data Innovation
 Co-Innovation Opportunities
Thank You

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TCS Predictive Analytics Event Agenda

  • 1. 1Copyright © 2013 Tata Consultancy Services Limited K. Ananth Krishnan Vice President & Chief Technology Officer What it takes to predict the future? TCS Predictive Analytics Event
  • 2. 2 Agenda  TCS Research Agenda  The Digital 5 Forces  Beyond Enterprise Information Fusion Prescriptive, Adaptive Analytics Contextual Intelligence  Analytics and Data Innovation  Co-Innovation Opportunities
  • 3. 3 TCS Invention Agenda Research Areas Software Systems Applications and Sciences Software and Services Life Cycle Domain Knowledge Enterprise Systems Information Systems Communication Systems Cyber-physical Systems Engineering Sciences Life Sciences Data Sciences People Sciences
  • 4. 4 Digital Forces Are Re-Imagining The Business AI & Robotics Mobility & Pervasive Computing Cloud Big Data Analytics Social Media Five Digital Forces Business Models Channels Products & Services Business Processes Customer Segments Workplaces
  • 5. 5 Enterprise Information Fusion Voice of Customer Supply-Chain Monitoring Social CRM Competitive Intelligence i-Sourcing Real-Time Data Harmonization Temporal Pattern Mining Real-Time Insights Sense Analyze Deep Text Mining Demand-Signal Refinement Relationship Discovery Exploit Enterprise Social Intelligence Next-Gen KM Email Analytics Sensor Analytics Real-Time Collaboration @ Suppliers Sales History Customers Filter
  • 6. 6 Beyond Enterprise Information Fusion Anticipate Detect Predict Prescribe
  • 7. 7 Adaptive Predictive Prescription Decision Support & Feedback Mining & Knowledge Discovery Simulation & Optimization Modeling Information Fusion Integrating predictive modeling with simulation models and optimization
  • 8. 8 Prediction Model Simulation Model Optimization Model Cost Model Recent Data and Strategy used Prescribed Strategy PredictionProposed Strategy Simulated Data & Strategy used Domain Priors Inverse Inference in Scientific Computing After Market Servicing Demand Signal Refinement
  • 9. 9 Recommendation Retrieval & Relevance Feedback Content Models & Mining Context Models & Mining (User Activity Tracking) Models of Contextual Needs (Needs & Scenarios) Information Fusion
  • 10. 10 Data as an enabler of value: The journey continues!Complexity Business Value  Deployment of BI Tools  Content Management  Data Cleansing  Data Transformation  Operational Data Warehousing  Real-time Process Analytics  Outsourced Reporting Services  Point Solutions Real-World Awareness and Response  In-depth Analysis & Insights from External Sources  Data-Intensive BI Platforms  Segmentation & Profiling  Forecasting, Cross-sell Loyalty Churn, Fraud High HighLow External Insights Real-time Business Intelligence Data Warehousing OLAP & Knowledge Management Predictive Analytics Information Fusion Services for Real-time Response  Global Situation Awareness  Integration of External and Internal Intelligence  Automated Processing of Inputs – Text, Video and Real-time Awareness  Pro-active Suggestion for Remedial Actions  Bridging Enterprise Silos Real-World Awareness Data-Intensive Real-time BI Reporting Services
  • 11. 11 Many More Datasets are becoming useful Genomes Things Materials People The Web
  • 12. 12 TCS Innovation Agenda: Analytics in every Theme! Innovation Themes Optimize Digitize AnalyzeDe-Risk Sustain Analytics-led IT Transformation Software Engineering Tools Domain-aware processes Internet of Everything Social in the Enterprise ICME Information Fusion Connected Marketing Supply Chains Security and DRM Privacy GRC Platforms Green IT IT for Green Water Frugal Health
  • 13. 13 Opportunities to collaborate: TCS COINTM Ecosystem of innovative partners encompassing:  Academic Institutions,  Start up companies,  Venture Funds & Multi-lateral organizations ,  Strategic Alliance partners,  Tata Group companies,  and TCS customers COIN™ is a rich and diverse network that drives innovation in an open community: TCS Innovation Labs Startups Customers Research Institutions Academic Institutions Student Community Venture Capitalists Entrepreneurs In Residence Alliance Partners Consultants Industry BodiesTATA Group
  • 14. 14 Summary  TCS Research Agenda  The Digital 5 Forces  Beyond Enterprise Information Fusion Prescriptive, Adaptive Analytics Contextual Intelligence  Analytics and Data Innovation  Co-Innovation Opportunities

Notas del editor

  1. “The TCS Co-Innovation Network (or COIN) is is led by TCS Innovation Labs and includes academic institutions, start-ups, venture funds, strategic alliance partners, multilateral organizations and key clients. COIN™ helps to bring forth extended capabilities and solutions in emergent technologies.Innovative solutions are effectively sourced globally, and customized to customer requirements. This helps to mitigate risk for new technologies while simplifying an increasingly complex technical environment.”