Presentation Title to be placed hereTransforming GE Healthcare with Data Platform Strategy
GE Healthcare Where every voice makes a difference, and every difference builds a healthier world
Abey Varughese Director – Architecture, Data & Analytics
Asha Poulose Johnson VP – Data & Analytics
Agenda
Abey Varughese Data Platform Architecture
Business & Technology Context
$17B 160+ $1B+
Using our imaging agents
imaging, mobile diagnostic & monitoring
O U R P U R P O S E
A healthier world with more precise and efficient care
O U R V I S I O N
Be the leading global medical technology and digital solutions innovator enabling Precision
Health for better clinical and operational outcomes
S T R A T E G I C T H O U G H T S
Focus for growth
Innovate for technology leadership
• Regionalization : Data regulations are tightening across globe. (GDPR, China security law, CCPA); Regional data segregation (China data lake)
• External data: Contextual awareness to support decisions including use of 3rd party/public data
• Responsiveness different for Go to Markets domains vs fulfillment domains; (Near Real time, Real time, Batch)
• Impact of COVID : Changed expectation on TAT of outcomes – Weeks to days/hours
• Data culture : Enabling self service; citizen data analysts & citizen data scientists
• Data quality: Increasingly becoming a hindrance to drive incremental outcomes
• Regionalization : Data regulations are tightening across globe. (GDPR, China security law, CCPA); Regional data segregation
• External Data: Contextual awareness to support decisions including use of 3rd party/public data
• Responsiveness different for Go to Markets domains vs fulfillment domains; (Near Real time, Real time, Batch)
• Impact of COVID : Changed expectation on TAT of outcomes – Weeks to days/hours
• Data culture : Enabling self service; citizen data analysts & citizen data scientists
• Data quality: Increasingly becoming a hindrance to drive incremental outcomes
• Regionalization : Data regulations are tightening across globe. (GDPR, China security law, CCPA); Regional data segregation (China data lake)
• External data: Contextual awareness to support decisions including use of 3rd party/public data
• Responsiveness different for Go to Markets domains vs fulfillment domains; (Near Real time, Real time, Batch)
• Impact of COVID : Changed expectation on TAT of outcomes – Weeks to days/hours
• Data culture : Enabling self service; citizen data analysts & citizen data scientists
• Data quality: Increasingly becoming a hindrance to drive incremental outcomes
• Integrated Data Ecosystem & Platform Strategy: High quality mash up of equipment, enterprise & external data. easily accessible, Purpose built, Secure, Scalable, Flexible
• Invest in Data management and Quality: Data cataloging , lineage , visual discovery , metadata management & master data
•Data, insights, Analytics as a Service: Self service & Subscription based consumption framework to enable reuse and scale. More Usage = better outcomes
•Data Driven Culture: Data Literacy, Mission based teams, Horizontal working, outcome focused, Develop technical talent
GE Healthcare One Data Platform T h e D a t a & A n a l y t i c s O p e r a t i n g s y s t e m
The Operating System for Analytics
Enterprise Data IOT Data
Security & Regionalizat
Data Store
Mirror | Entity | Trusted
Data Owners/- Monitor definitions/rule s & quality
Architects, Engineers & Developers – Build & support ecosystem, Ensure security & compliance , Maintain vitality & performance
Analytical Products
Data Products/Analytics/Data Science Solutions/Analytics Apps
D A
TA P
LA TF
O R
Automated Analytics Provisioning
Common Ingestion, Mirroring & Processing
Secure - Data stitching & store
Data consumption service offerings across persona sets Analytics Service improving accuracy with usage
1
2
3
4
5
6
Business outcomes with Analytics Apps that leverage foundation data services
8
6
As Service Offering Data StoreData Management Foundational Offerings
GE Healthcare One Data Platform P l a t f o r m A r c h i t e c t u r e
Real-Time Big Data Analytics Architecture on Cloud
Data Platform Architecture En
• Single source of truth • Supports self-service • Accelerate outcomes with democratization • Domain based APIs • Data Services @scale & speed by Products/Regions
• Integration of Enterprise/ IoT /Machine data • Wing to Wing automation of services • Certified data sets • Elastic & scalable API integration • Access integrated with Data Catalog • Edge acceleration
AIaaS – Democratizing AI
• Stable, Reliable and Secure platform for Analytics • AIOps- Logs, Events, Metrics; Pattern Discovery and Recognition • Transform IT operations using machine learning • Data Notebook & Framework
• Enable Cognitive computing solutions transforming business' approach to decision-making and problem-solving
• Evolution of Analytics from Descriptive, Diagnostic & Prescriptive Analytics to more Predictive & Cognitive Analytics
Artificial Intelligence as a Service (AIaaS)Data as a Service (DaaS) Enterprise
Machine
using two factor authentication (MFA)
Security Tools Integrate security agents as part of the Infrastructure as a code
Data Lifecycle Manager Using DLM, Automated snapshots are created for Disaster recovery
and Backup Compliance.
User Home Directory on S3 The S3 User home directory solution is implemented across cloud
accounts for Users.
ODP Cloud Infrastructure & Automation
AutoTAG AutoTAG is a tool built using event-driven architecture for
better cost visibility and improved security governance.
Auto-Remediate S3 Bucket Public Access Monitor S3 buckets for any ACL/Permission change to public In case of ACL change, It is auto-remediated and ACL is changed back to private along with notification.
Auto Instance Scheduler • Shutdown/start instances during defined business hours
for Cost Optimization.
AIOps: Analytics Driven Automation
A scalable & nimble data platform with right data that is democratized and consumed by an increasingly data literate organization is a true multiplier and will enable exponential growth.
Feedback
Don’t forget to rate and review the sessions.