As ML-driven innovations are propelled by the Self-Service capabilities in the Enterprise Data and Analytics Platform, teams face a significant entry barrier and productivity issues in moving from POCs to Operating ML-powered apps at scale in production.
3. R&D
Catalog
Merchandising
Pricing
Data and Analytics is a critical success factor
Personalization
Marketing
Loyalty & rewards
Store Dev & operations
Inventory
Order & pay
Pay & benefits
Workforce
management
Recruiting
4. EDAP – AI/ML journey
Mission: Democratize AI/ML
Applications
• Trusted data
• Scalable Platforms
• Self-service
BREWKIT -
DEEP ANALYTICS
PLAYGROUND
EDAP
DATA
AI RESERVE
AI OPS
1
2
3
4
6. Theia –
computer
vision &
object
detection
Reference
Application
• Object detection Reference App
• FRCNN, YOLO V3, SSD MOBILENET
• TensorFlow, Keras, Pytorch
• Training Data : Over a million images
• Annotation and image processing
• Deployment
• Intelligent Cloud & Intelligent Edge
• Use cases
• Autonomous Inventory Counts Prototype.
Customer Store operations Supply Chain
7.
8.
9. How AIRESERVE helps Theia?
• Theia Challenges
• Algorithms
• Framework
• Data
• use cases
• Devices
• AIReserve : A LOWCODE way to
• Automate Training, Build and Deploy at will
and all the time
• Deploy the Model on the Managed cloud at
Starbucks Scale
• Deploy to the edge on Intelligent devices
• Provide end to end traceability
10. How AIRESERVE Works?
BREWKIT – Analytics
Playground
Solution Experimentation
Collaboration
Starbucks git
Train the
models @
Scale
Validate
Model
Deploy
Model
Monitor
Model
Retrain Model
• Track Experiments
• Track Models
• Track
Hyperparameters
• Track Model Efficacy
• Compare Models and
pick next best
• Track Next Best Model
• Track Images /
containers
• Deploy to Shared
services Internet
scale, Always On infra
• Deploy to Starbuck
Edge
• Monitoring Model
Health
• Model Performance
Management
• Drift Analysis
Autonomous Model Lifecyle Management driven
by Solution Manifest
ü Lead time to Secure / Scalable ML Infrastructure in minutes
ü Mean Time to Deploy in hours
11. AIRESERVE Consumer Experience
Discover and consume AI/ML Models without friction
STARBUCKS
GALLERY OF
TRUSTED
ANALYTICAL
MODELS
MULTI MODAL
CONSUMPTION:
CONSUME AS REST
API, SERIALIZED
MODELS, CODE
INTERNET SCALE
SERVING TO POWER
CUSTOMER FACING
APPLICATIONS AND
BUSINESS PROCESSES.
CONSUMPTION
GOVERNANCE
18. Coming Next
• Flexible Use Models
• Store Front Experience for
publishers and consumers
• Auto Data / Model Drift
Detection
• Driving Adoption onboarding..