Creating a Minimal Viable Product with Oracle. Getting on the Journey with Oracle AI/ML Based Platform

1. Fast Learning and Building
Fast Fail MVP
Learn andValidate
Parallel Learning and Sharing
Hard Work with Elements of Fun, Creativity
franco.ucci@oracle.com
Creating a Minimal Viable Product
with Oracle
Getting on the Journey with Oracle AI/ML Based Platform
1

2. +
New
App
Idea
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)
Data /
Services
Access &
Execution
Experience
Outcome
Value
Tech
Capability

3. +
New
App
Idea
Data /
Services
Access &
Execution
Experience
Outcome
Value
Tech
Capability
New App for
Customer Service
From Hardwired App
Integration to Data
Driven API Led On-
Prem to SAAS
Integration
Mobile App with
Back End App APIs,
Blockchain, AI
Based Workflow
SAAS containers
CI/CD frameworks
auto testing
APIs metadata
git
ML
AI
automation
orchestration
abstraction
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)
microservicespolyglot
json
image processing journey mapping
models
low code
blockchain
chatbots
AI/ML Robots

4. Y1
Outcome
Value
X Complexity
Y2
Tech
Capability
+
New
App
Idea
Data /
Services
Access &
Execution
Experience
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)

5. X Complexity
+
New
App
Idea
Data /
Services
Access &
Execution
Experience
Y1
Outcome
Value
Y2
Tech
Capability
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)

6. X Complexity
+
New
App
Idea
Data /
Services
Access &
Execution
Experience
Y1
Outcome
Value
Y2
Tech
Capability
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)

7. X Complexity
Characteristics
Security
Scale
Management
Resilience
Operations
AIMLAutomation
+
New
App
Idea
Data /
Services
Access &
Execution
Experience
Y1
Outcome
Value
Y2
Tech
Capability
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)

8. X Complexity
f(n)
Characteristics
Security
Scale
Management
Resilience
Operations
AIMLAutomation
+
New
App
Idea
Data /
Services
Access &
Execution
Experience
Y1
Outcome
Value
Y2
Tech
Capability
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)
speed
time
functionality
capability
tech/skills
learning
workshop
evaluation

9. X Complexity
f(n)
Characteristics
Security
Scale
Management
Resilience
Operations
AIMLAutomation
+
New
App
Idea
Data /
Services
Access &
Execution
Experience
Y1
Outcome
Value
Y2
Tech
Capability
APIs K8s
APEX
ATP
Graph
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)
u Service
blockchain
data science
java
python

10. X Complexity
f(n)
Characteristics
Security
Scale
Management
Resilience
Operations
AIMLAutomation
+
New
App
Idea
Data /
Services
Access &
Execution
Experience
Y1
Outcome
Value
Y2
Tech
Capability
APIs
Analytics
Process
Functions
K8s
Integration
Dig Assist
terraform
APEX
ATP
JSON
Workshop
iterate
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)
data science
u Service
nodeJS
IOT data

11. Image
processing
f(n)
+
New
App
Idea Data/Services
Access/Execution
Experience
API Policies
ML based Analytics
blockchain
K8s
AI based ntegration
digital assistant (ML)
terraform
APEX
ATP
JSON
APIs
Learning & Validation: Fast Fail MVP (weeks)
Recent Experiences
u ServicenodeJS
Express facial recognition
PoliceAgencyMajorBank
From Hardwired
App Integration
to Data Driven
API Led On-
Prem to SAAS
Integration
Mobile App with
Back End App
APIs, Blockchain,
AI Based
Workflow
Iterative
prototyping
devops
APIs
device
security
blockchain
Fast
validation
Cloud
integraion
APIsApp
connectors
Auto
testing
CI / CD
1st Iteration
2 weeks
4 Iterations
over 12
weeks
1st Iteration
2 weeks
3 Iterations
over 6
weeks
Image processing
python tensorflow
PSFT OCI VM
AI based integration
app connectors
On Prem Agent
APEX
ATP
JSON
APIs
federation/security
integration analytics
date based deployment
ML based auto testing

12. Learning &Validation: Fast Fail MVP (weeks)
Candidate AI/MLTechnology Choices
Utilize Compute
On Demand
Collaborative
Workflow
Model
Deployment
Access Data and
Open Source Tools
Open
Source
Tools / Languages Visualization Version ControlAI and ML
PerformanceBusiness InsightSecurity
Capability Prebuilt
Process Automation Business Accelerators
Application Integration Adapters
HCM ERPCX
Visual App Builder ML Recommendations
Integration Cloud
Data
access
Oracle Analytics for
Applications
Data Science
Service*
Oracle Analytics
Cloud
Analytics
Automated Data
Center Operations and
Machine Learning
Complete
Infrastructure
Automation
Complete Database
Automation
ORACLE
CLOUD
Autonomous Database
Autonomous Database
Data Safe
Data Safe
Visual
Builder
Digital
Assistant
APEX Blockchain
Cloud
Low CodeLow Code

13. 13
https://www.oracle.com/cloud/arch
itecture-center.html
Autonomous
Database
with a private
endpoint
Deploy a HA
Web App

14. 14
https://www.oracle.com/database/technolo
gies/datawarehouse-bigdata/adw-
patterns.html
Terraform
Stack
2 Choices

15. 15 Confidential – © 2020 Oracle Internal

16. Live Labs
In Progress
Oracle Confidential – Internal/Restricted/Highly Restricted16
https://apex.oraclecorp.com/pls/apex/f?p=LIVELABS:51:3003544082828:::::

17. +
New
App
Idea Data/Services
Access/Execution
Experience
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)
Outcome
Value Tech
Capability
How to Get Started
Plan for Positive Experience, Skilling, Outcome
New Mobile
App to Back
End Apps
Automate Integration
between back end
Apps through change
auto testing
APIs
analytics
automation
orchestration
low code

18. +
New
App
Idea Data/Services
Access/Execution
Experience
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)
Outcome
Value Tech
Capability
How to Get Started
Plan for Positive Experience, Skilling, Outcome
New Mobile
App to Back
End Apps
Automate Integration
between back end
Apps through change
1. Draft UI
2. Storyboard Scenario
3. Identify Data
4. Identify Apps
5. Identify Touch Points
6. End to End Picture  Test
7. Vision Video
8. Idea to Operation Timing
9. Key People
10. Why vs DoNothing
A
auto testing
APIs
automation
orchestration
low code
analytics

19. +
New
App
Idea Data/Services
Access/Execution
Experience
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)
Outcome
Value Tech
Capability
How to Get Started
Plan for Positive Experience, Skilling, Outcome
New Mobile
App to Back
End Apps
Automate Integration
between back end
Apps through change
1. Draft UI
2. Storyboard Scenario
3. Identify Data
4. Identify Apps
5. Identify Touch Points
6. End to End Picture  Test
7. Vision Video
8. Idea to Operation Timing
9. Key People
10. Why vs DoNothing
A
auto testing
APIs
automation
orchestration
low code
1. Provision
2. Data (Model, Test, Load)
3. Build UI or API
4. Test, Share, Iterate
5. Evaluate B
1. One Page Sharing
2. Functional Check to Model
3. Parallelize Initiatives
4. Build Collective IP
5. Aggregate Learnings
6. Evaluate / Package
7. Showcase / Next Steps
C
analytics

20. +
New
App
Idea Data/Services
Access/Execution
Experience
Learning & Validation: Fast Fail MVP (weeks)
Parallel Initiatives (2h-2d)
Outcome
Value Tech
Capability
How to Get Started
Plan for Positive Experience, Skilling, Outcome
New Mobile
App to Back
End Apps
Automate Integration
between back end
Apps through change
1. Draft UI
2. Storyboard Scenario
3. Identify Data
4. Identify Apps
5. Identify Touch Points
6. End to End Picture  Test
7. Vision Video
8. Idea to Operation Timing
9. Key People
10. Why vs DoNothing
A
auto testing
APIs
automation
orchestration
low code
1. Provision
2. Data (Model, Test, Load)
3. Build UI or API
4. Test, Share, Iterate
5. Evaluate B
1. One Page Sharing
2. Functional Check to Model
3. Parallelize Initiatives
4. Build Collective IP
5. Aggregate Learnings
6. Evaluate / Package
7. Showcase / Next Steps
C
Identify Your
Outcome Hero
Identify your
Tech Hero
analytics

21. Fast Learning and Building
Fast Fail MVP
Learn andValidate
Parallel Learning and Sharing
Hard Work with Elements of Fun, Creativity
franco.ucci@oracle.com
Creating a Minimal Viable Product
with Oracle
Getting on the Journey with Oracle AI/ML Based Platform
21