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Mayank Chandla
IBM SAP Ariba Leader - Europe
Visit me at the IBM booth to learn more
IBM Cognitive
Procurement
Masterclass
SAP Ariba Live, Sydney
Breakout Session
22nd August 2017
More data created in 2017 ›5000 years of humanity
“We have far exceeded the
human threshold for interpreting
all the data we are surrounded
with”
“Drastic Technology transformation
is taking place to help businesses
consume data for strategic &
tactical decision making”
Despite significant investment in big data and analytics,
business are struggling with three major problems
Too much data and too little insight
Poor linkage between insights discovery and business action
Scarce learnings from actions taken
“Less than 1% of data is actually being analysed
for operational decision making”
Thus our evolution towards Artificial Intelligence
Traditional
Analytics
Big Data
Platforms
• Structured
Data
• Unstructured
Data
Machine
Learning
Platforms
• AI Technical
Services
• AI Tools
Augmented
Intelligence
Platforms
• User
Engagement
• Process
Engagement
Industry
Cognitive
Clouds
• New
Business
Models
• Cloud Scale
What can Augmented Artificial Intelligence do?
UNDERSTAND
• They derive meaning from all forms of multi-structured data and user interactions.
INTERPRET
• They represent the meaning in a deterministic and probabilistic knowledge graph
based on declared, observed, and inferred entities, events, and relationships.
REASON
• They reason over the domain-optimized interpretation in business and user context to
come up with personalized advice with supporting evidence.
LEARN
• They learn continuously based on real-time and historical data, user, and system
interactions.
ASSURE
• They use AI and Blockchain technology to ensure ongoing compliance and governance
for responsible and risk-managed use of cognitive services in the enterprise.
How this Works: The cognitive business delivers insight to serve
knowledge workers, data scientists, and clients
Where are we headed with Artificial Intelligence?
“We are moving from
a mobile-first to an AI-
first world”
Sundar Pichai
CEO, Google
“Human-AI partnership
can help solve society’s
challenges ”
Satya Nadella
CEO, Microsoft
“Cognitive Computing
will impact every
decision in 5 years”
Ginni Rometty
CEO, IBM
“45% of the fastest growing
companies in the world will
adopt more smart machines
and virtual agents than people
by 2018”
Gartner
“95% of top 100 largest
enterprise software companies
will have cognitive
incorporated in their products”
Gartner
Artificial Intelligence Use Cases across industries
Financial Services
•Risk Analytics
•Credit evaluation
•Customer segmentation
Retail
•Predictive Inventory Planning
•Recommendation Engines
•Market segmentation &
targeting
Healthcare & Life
Sciences
•Real time alerts & diagnostics
•Patient triage optimisation
•Proactive health management
Travel & Hospitality
•Aircraft scheduling
•Dynamic pricing
•Traffic patterns & congestion
management
Manufacturing
•Predictive maintenance
•Demand forecasting
•Telematics
•Process Optimisation
Energy & Utilities
•Power usage analysis
•Customer pricing
•Smart Grid Management
We have a real opportunity need to transform our
Procurement with Artificial Intelligence
Deeper engagement and adoption
• Increase end-user productivity (ease of use, less training required)
• Bring the application to users in their environment of choice
Better decision making
• Have access to richer and broader set of data
• Uncover and discover hidden insights
Improve business outcomes
• Automate repetitive tasks
• Improve approvals and accuracy
• Improve efficiency by delivering personalized and context-specific information
Cognitive Procurement Transformation Journey
Fragmented
Process & Systems
Single Cloud Platform
Source to Pay Process
Orchestration
Supplier Collaboration
Cognitive
Procurement
Two world leading companies together delivering greater value
IBM Watson APIs & Apps for Cognitive Procurement
Cognitive Procurement enhances the user experience and enables faster and more
insightful procurement resulting in greater savings and compliance.
SAP Ariba Platform & IBM Watson Apps / API cover the entire
spectrum of Cognitive Procurement
Adding Cognitive to SAP Ariba Solutions to drive future procurement
Sourcing Intelligence In consideration
Contract Intelligence In consideration
Cognitive Solution – Value drivers
IBM Cognitive App / API Description and Value
19
Approach for building Automated Cognitive Solutions for you
AUTOMATED DATA &
CONTENT QUALITY
MANAGEMENT
Normalization
Automated
Classification
Analysis
Taxonomy
& Ontology
Management
Data Quality
Score Cards
Content Quality
Agreements
Watson
Automated Data
Enrichment
Chemical / Safety
Flagging
Validation
Cleansing
Business
Rules
Automated
Classification
Enforcement
Data Warnings
Metrics
Ontology
Mapping
Image Quality
Validator
Enrichment
Packing Details
Verification
Category
Restrictions
• Local
• Trusted Source
• Global
• Manufacturers
• Suppliers
• Ontology
Values
• Units of
Measure
Manual DQA
Audits
Locate, Collect & Enrich
Required Data Attributes
Similar Item
Grouping
Stakeholder
DQA Reviews
Personalized mobile app that scales across multiple buying channels and
systems
Recommends the optimum compliant product while being transparent to the
end-user
Delivers recommendations from preferred vendor catalogues based on users
needs, Profile-of-one and peer feedback
Enables users to interact in Natural language for optimized user experience and
speed
20
Cognitive Buying Assistant (CBA) Prototype
21
Cognitive App interfaces with SAP Ariba Buying & Invoicing
Accesses SAP Ariba Customer Content as well as external market content and is cognitive
SAP Ariba Mobile
Interface
Guided Buying
Interface
Cognitive Buying
App
22
Cognitive App – understands your voice, suggests appropriate products
Accesses SAP Ariba Customer Content as well as external market content and is cognitive
23
Cognitive App – understands image input, suggests appropriate products
Accesses SAP Ariba Customer Content as well as external market content and is cognitive
24
Cognitive App – predictive insights, compliant buying, delivery tracking
Accesses SAP Ariba Customer Content as well as external market content and is cognitive
25
Cognitive Buying App – launch SAP Ariba for more detailed buying
formats
How can IBM engage with you for Cognitive Transformation?
27 Š 2017 IBM Corporation
Use cases in Procurement for Robotic Process Automation?
29
Watson Company Analyzer – Supplier IQ
The vision
Supplier financial and risk
assessment tool using real
time holistic view of all
information to uncover hidden
trends
The disruption
Comprehensive information
aggregation to change how
Sourcing Professionals consume
and exploit data
Deep
Supplier
Insight
The result: Users equipped with enhanced supplier knowledge for
optimal source identification and/or informed negotiations
Internal supplier
data
External market
intelligence
Watson APIs+ +
30
Watson Company Analyzer – Supplier IQ
31
Watson Analytics in Source to Pay Analytics
Visibility
•Explore data by asking questions to Watson cognitive tool, identify insights by mining large volumes of data
•With the Dynamic view dashboards enables to see different parameters in real time.
•Gives a birds eye view of all the different parameters that drive savings.
•Watson helps in looking at different regions separately.
•The prediction component is used to identify key drivers for the selected KPI.
Visualization
•Graphical representation to identify Vendors with high volume of spend and PO count
•Leveraging Watsons more refined graphical representations for a more lucid data graphs.
•Watson helps create customer specific dashboards that can be refreshed with new data periodically.
•Watson is helping us replace the standard excel/ppt reports with the more detailed and dynamic Watson
Dashboards
Agility
•Watson helps make changes to the data on the fly with Refine. Which helps team to be more Agile.
•With flexible nature of Watson, multiple iterations of the analysis can be completed in a shorter time frame.
Collaborate
•Watson helps the customer ask questions regarding the data and provides the necessary analysis.
32
Comprehensive analytics enable you to systematically turn
information into insight and insight into business outcomes
Source to contract (S2C) Procure to Pay (P2P)
Multiple data sources
structured and unstructured
Suppliers
Employees
External markets
Transactions
S2P applications
Business outcomes
 Increased savings
 Reduced cost
 Enhanced service
 Improved control
 Diminished risk
Analytics
Insight
What is
happening?
Why did it
happen?
What
action
should I
take?
What
could
happen?
Factors limiting analytics effectiveness:
 Data quality and complexity
 Time, expertise and investment required to
produce analytical insight
33
IBM Supply Chain Risk Insights
Predicting
Risk with
Certainty
The vision
Monitor natural, social, and
economic supply chain
disruptions to make fast
informed decisions in the
most critical situations when
every minute counts.
The disruption
Hyper-localized insights that are now
built into supply chain models
.
The result: Cognitive event monitoring that saves time and money
focusing efforts on true impacts to your supply chain
Supply chain
operational data
Twitter
The Weather Company
Local events
+ + Watson APIs
Thank you
Please complete session survey
Locate Session Click Surveys Button Select Breakout Survey Rate Session

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Cognitive Procurement Masterclass with IBM - SID 51774

  • 1. Mayank Chandla IBM SAP Ariba Leader - Europe Visit me at the IBM booth to learn more
  • 2. IBM Cognitive Procurement Masterclass SAP Ariba Live, Sydney Breakout Session 22nd August 2017
  • 3. More data created in 2017 ›5000 years of humanity “We have far exceeded the human threshold for interpreting all the data we are surrounded with” “Drastic Technology transformation is taking place to help businesses consume data for strategic & tactical decision making”
  • 4. Despite significant investment in big data and analytics, business are struggling with three major problems Too much data and too little insight Poor linkage between insights discovery and business action Scarce learnings from actions taken “Less than 1% of data is actually being analysed for operational decision making”
  • 5. Thus our evolution towards Artificial Intelligence Traditional Analytics Big Data Platforms • Structured Data • Unstructured Data Machine Learning Platforms • AI Technical Services • AI Tools Augmented Intelligence Platforms • User Engagement • Process Engagement Industry Cognitive Clouds • New Business Models • Cloud Scale
  • 6. What can Augmented Artificial Intelligence do? UNDERSTAND • They derive meaning from all forms of multi-structured data and user interactions. INTERPRET • They represent the meaning in a deterministic and probabilistic knowledge graph based on declared, observed, and inferred entities, events, and relationships. REASON • They reason over the domain-optimized interpretation in business and user context to come up with personalized advice with supporting evidence. LEARN • They learn continuously based on real-time and historical data, user, and system interactions. ASSURE • They use AI and Blockchain technology to ensure ongoing compliance and governance for responsible and risk-managed use of cognitive services in the enterprise.
  • 7. How this Works: The cognitive business delivers insight to serve knowledge workers, data scientists, and clients
  • 8. Where are we headed with Artificial Intelligence? “We are moving from a mobile-first to an AI- first world” Sundar Pichai CEO, Google “Human-AI partnership can help solve society’s challenges ” Satya Nadella CEO, Microsoft “Cognitive Computing will impact every decision in 5 years” Ginni Rometty CEO, IBM “45% of the fastest growing companies in the world will adopt more smart machines and virtual agents than people by 2018” Gartner “95% of top 100 largest enterprise software companies will have cognitive incorporated in their products” Gartner
  • 9. Artificial Intelligence Use Cases across industries Financial Services •Risk Analytics •Credit evaluation •Customer segmentation Retail •Predictive Inventory Planning •Recommendation Engines •Market segmentation & targeting Healthcare & Life Sciences •Real time alerts & diagnostics •Patient triage optimisation •Proactive health management Travel & Hospitality •Aircraft scheduling •Dynamic pricing •Traffic patterns & congestion management Manufacturing •Predictive maintenance •Demand forecasting •Telematics •Process Optimisation Energy & Utilities •Power usage analysis •Customer pricing •Smart Grid Management
  • 10. We have a real opportunity need to transform our Procurement with Artificial Intelligence Deeper engagement and adoption • Increase end-user productivity (ease of use, less training required) • Bring the application to users in their environment of choice Better decision making • Have access to richer and broader set of data • Uncover and discover hidden insights Improve business outcomes • Automate repetitive tasks • Improve approvals and accuracy • Improve efficiency by delivering personalized and context-specific information
  • 11. Cognitive Procurement Transformation Journey Fragmented Process & Systems Single Cloud Platform Source to Pay Process Orchestration Supplier Collaboration Cognitive Procurement
  • 12. Two world leading companies together delivering greater value
  • 13. IBM Watson APIs & Apps for Cognitive Procurement Cognitive Procurement enhances the user experience and enables faster and more insightful procurement resulting in greater savings and compliance.
  • 14. SAP Ariba Platform & IBM Watson Apps / API cover the entire spectrum of Cognitive Procurement
  • 15. Adding Cognitive to SAP Ariba Solutions to drive future procurement
  • 16. Sourcing Intelligence In consideration
  • 17. Contract Intelligence In consideration
  • 18. Cognitive Solution – Value drivers IBM Cognitive App / API Description and Value
  • 19. 19 Approach for building Automated Cognitive Solutions for you AUTOMATED DATA & CONTENT QUALITY MANAGEMENT Normalization Automated Classification Analysis Taxonomy & Ontology Management Data Quality Score Cards Content Quality Agreements Watson Automated Data Enrichment Chemical / Safety Flagging Validation Cleansing Business Rules Automated Classification Enforcement Data Warnings Metrics Ontology Mapping Image Quality Validator Enrichment Packing Details Verification Category Restrictions • Local • Trusted Source • Global • Manufacturers • Suppliers • Ontology Values • Units of Measure Manual DQA Audits Locate, Collect & Enrich Required Data Attributes Similar Item Grouping Stakeholder DQA Reviews
  • 20. Personalized mobile app that scales across multiple buying channels and systems Recommends the optimum compliant product while being transparent to the end-user Delivers recommendations from preferred vendor catalogues based on users needs, Profile-of-one and peer feedback Enables users to interact in Natural language for optimized user experience and speed 20 Cognitive Buying Assistant (CBA) Prototype
  • 21. 21 Cognitive App interfaces with SAP Ariba Buying & Invoicing Accesses SAP Ariba Customer Content as well as external market content and is cognitive SAP Ariba Mobile Interface Guided Buying Interface Cognitive Buying App
  • 22. 22 Cognitive App – understands your voice, suggests appropriate products Accesses SAP Ariba Customer Content as well as external market content and is cognitive
  • 23. 23 Cognitive App – understands image input, suggests appropriate products Accesses SAP Ariba Customer Content as well as external market content and is cognitive
  • 24. 24 Cognitive App – predictive insights, compliant buying, delivery tracking Accesses SAP Ariba Customer Content as well as external market content and is cognitive
  • 25. 25 Cognitive Buying App – launch SAP Ariba for more detailed buying formats
  • 26. How can IBM engage with you for Cognitive Transformation?
  • 27. 27 Š 2017 IBM Corporation
  • 28. Use cases in Procurement for Robotic Process Automation?
  • 29. 29 Watson Company Analyzer – Supplier IQ The vision Supplier financial and risk assessment tool using real time holistic view of all information to uncover hidden trends The disruption Comprehensive information aggregation to change how Sourcing Professionals consume and exploit data Deep Supplier Insight The result: Users equipped with enhanced supplier knowledge for optimal source identification and/or informed negotiations Internal supplier data External market intelligence Watson APIs+ +
  • 30. 30 Watson Company Analyzer – Supplier IQ
  • 31. 31 Watson Analytics in Source to Pay Analytics Visibility •Explore data by asking questions to Watson cognitive tool, identify insights by mining large volumes of data •With the Dynamic view dashboards enables to see different parameters in real time. •Gives a birds eye view of all the different parameters that drive savings. •Watson helps in looking at different regions separately. •The prediction component is used to identify key drivers for the selected KPI. Visualization •Graphical representation to identify Vendors with high volume of spend and PO count •Leveraging Watsons more refined graphical representations for a more lucid data graphs. •Watson helps create customer specific dashboards that can be refreshed with new data periodically. •Watson is helping us replace the standard excel/ppt reports with the more detailed and dynamic Watson Dashboards Agility •Watson helps make changes to the data on the fly with Refine. Which helps team to be more Agile. •With flexible nature of Watson, multiple iterations of the analysis can be completed in a shorter time frame. Collaborate •Watson helps the customer ask questions regarding the data and provides the necessary analysis.
  • 32. 32 Comprehensive analytics enable you to systematically turn information into insight and insight into business outcomes Source to contract (S2C) Procure to Pay (P2P) Multiple data sources structured and unstructured Suppliers Employees External markets Transactions S2P applications Business outcomes  Increased savings  Reduced cost  Enhanced service  Improved control  Diminished risk Analytics Insight What is happening? Why did it happen? What action should I take? What could happen? Factors limiting analytics effectiveness:  Data quality and complexity  Time, expertise and investment required to produce analytical insight
  • 33. 33 IBM Supply Chain Risk Insights Predicting Risk with Certainty The vision Monitor natural, social, and economic supply chain disruptions to make fast informed decisions in the most critical situations when every minute counts. The disruption Hyper-localized insights that are now built into supply chain models . The result: Cognitive event monitoring that saves time and money focusing efforts on true impacts to your supply chain Supply chain operational data Twitter The Weather Company Local events + + Watson APIs
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