ARTIFICIAL INTELLIGENCE€¦ · Chatbots Service providers Media delivery Financial services Fraud detection, ID verification Government Cyber-security, smart cities and utilities

HPE DISCOVER MORE

ARTIFICIAL INTELLIGENCE

HEWLETT-PACKARD ENTERPRISE, MERCEDES AMG PETRONAS…WHAT ELSE?

2

AI IS EVERYWHERE

ManufacturingPredictive and prescriptive maintenance

HealthPersonalized medicine, image analytics

Consumer techChatbots

Service providersMedia delivery

Financial servicesFraud detection, ID verification

GovernmentCyber-security, smart cities and utilities

EnergySeismic and reservoir modeling

RetailVideo surveillance, shopping patterns

BUT KEY QUESTIONS REMAIN …

Skillset

IT Integration

Data Sources

Company Culture

Use case

BARRIERS TO MOVING AT AI SPEED

Unprecedentedvolumes of data

Data silosand complexity Lack of AI talent

and skilled resources

Ever-changing, expanding partner ecosystem

Unpredictable costsand capacity needs

Scalable infrastructure optimized for AI and ML

WHAT DO MY CUSTOMERS WANT ?

Decisions are made Need to make everything run

IT Manager/Admin

Questions / Challenges

– ‘Get control’ of AI IT projects across the org

– Maintain infrastructure standards

– Accelerate Speed of Deployment

– Minimize downtime

– ‘Look smart’ in front of developers/data scientists

What are theylooking for?

– Leverage existing vendor installations

– Automated management

– Expertise in design, deployment & support

– Ability to scale, boundless architecture

– Help on ‘Cloud vs. on-prem’ question

MLArchitect/Developer

Questions / Challenges

– Accelerate Business Model Development

– Keep up with the Technology Frameworks

What are theylooking for?

– Shortest path to learning & deployment

– Options to move “cloud deployed models” to on-premises

– Automated Cloud based offerings on a pay-per-use basis

CIO/CDO

Questions / Challenges

– Edict for Business Transformation

– AI is the path to Digital transformation

– AI is a Board / CEO level discussion now – ‘Why AI’ moving to ‘Why not AI’

What are theylooking for?

– ROI & Business Value on AI

– How/where to start?

– Defining the use case

– First to market with proven results

– Expand AI use in multiple domains

Questions / Challenges

– Latest models and techniques

– How to select the right model and use it

– Data management

– Deliver the promise of AI

What are theylooking for?

– modeling and data management advice

– Quick access to training / inference architecture with proven benchmarks

– Infrastructure needed?

DataScientist

One company … many wishes

THE JOURNEY

New AI/ML Idea

1. Outcomes in Business Value2. Which use cases or workloads3. How to get there and start

CXO makes a decision based business priorities

DATA

Data Scientists Pile of AI Prototypes

Data Center / Production

Edge / Production

IT Manager/ Team

Tools

Workshop/CollaborationInspiration

AI Prototypes

AI/ML Developer

R & D LabPoC

THE COMPLETE JOURNEY

New AI/ML Idea

1. Outcomes in Business Value2. Which use cases or workloads3. How to get there and start

CXO makes a decision based business

priorities

DATA

Data Scientists

Pile of AI Prototypes

Workshop/Collaboration

Inspiration

AI Prototypes

AI/ML Developer

R & D LabPoC

Data Center / Production

Edge / Production

IT Manager/ Team

Tools

Orchestration

Scalability

Edge to Core Model and Data Management

User Experience

PEOPLE

CONFIDENTIAL

CXO makes a decision based business priorities

Data Scientists AI/ML Developer IT Manager/ Team

Workshop/Collaboration

PEOPLE + TECHNOLOGY

R & D LabPoC

Data Center / Production

Edge / Production

CXO makes a decision based business priorities

Data Scientists AI/ML Developer IT Manager/ Team

Workshop/Collaboration

Edge to Core Model and Data Management

Scalability

PEOPLE + TECHNOLOGY + PARTNERS

R & D LabPoC

Data Center /

Production

Edge / Productio

n

CXO makes a decision based

business priorities

Data Scientists AI/ML Developer

IT Manager/ Team

Workshop/Collaboration Orchestration

Edge to Core Model and Data Management

Scalability

Pile of AI Prototypes

AI Prototypes

AI/ML Developer

New AI/ML Idea

1. Outcomes in Business Value2. Which use cases or workloads3. How to get there and start

CXO makes a decision based business

priorities

DATA

Data Scientists

Pile of AI Prototypes

Workshop/Collaboration

Inspiration

AI Prototypes

AI/ML Developer

R & D LabPoC

Data Center / Production

Edge / Production

IT Manager/ Team

Tools

Orchestration

Scalability

Edge to Core Model and Data Management

User Experience

PEOPLE + TECHNOLOGY + PARTNERS = SOLUTIONS FOR BUSINESS OUTCOMES

Best-in-class people, technology and partners = solutions for business outcomesTHE HPE STRATEGIC ADVANTAGE

Best technologyIntegrated AI solutions leveraging HPE’s comprehensive portfolio

− Servers, storage, software, networking and services that work “better together” for the full end-to-end workflow

Best partnersProven global AI ecosystem, ideal for strategic planning / performance optimization

− ISVs

− System Integrators

− Channel /Distributors

− Value added resellers

− Technology partners

− Service providers

Best people Years of delivery expertise; global projects across multiple technologies and AI workloads

− Data scientists

− AI Ambassadors / pre-sales

− Solution architects

− Advisors / Consultants

− AI Centers of Excellence / POC

− Data center technologists

− AI benchmarking / engineers

Mercedes is using “Computer Vision” to setup the car using component level analysis before creating the final car.

BEST-IN-CLASS PEOPLE HELPING MERCEDES

Mercedes Formula 1Racing

People in action

HPE teams created a new AI model

Customer brainstorming sessions and workshops with HPE experts

Joint collaboration decreased processes from 4 weeks to 1 day

Edge Cloud

Compute Storage Fabrics Software

ManagementParallel Libraries

End-to-end

Infrastructure

Optimization

Orchestration Containers Bare Metal Cloud

Swarm Learning

Ingestion Federation Data Pipeline ConsumeRetain Stream Transform

BEST-IN-CLASS TECHNOLOGY

Less Traffic. Less Fatalities. Better Economics

BEST IN CLASS TECHNOLOGY HELPING AUTONOMOUS DRIVING

Technology in action

HPE is powering Autonomous driving working with various car manufacturers and providing the infrastructure from the ingestion station up to the data center.

Collecting Data Moving data Ingestion Station

Data Center

Ground Truth

Simulation

Single Events

BEST IN CLASS PARTNER ECOSYSTEM HELPING BANKING/FSI CUSTOMER

AI solution proactively monitors insider trading, collusion, and improper investment management practices

Partner ecosystem in action

– Partnered with Intelligent Voice (IV)

– Combined HPE and IV solution proactively monitors and stops suspicious activity

– Currently monitoring ~400 traders across email and IM (voice following shortly)

– Global monitoring ~1200 traders worldwide in a dozen languages (future plan)

ACCELERATE YOUR AI ADOPTION WITH HPE’S BLUEPRINTS

Surveillance usingvideo analytics

Airport surveillance– Facial recognition– Queue monitoring– Unattended items

Quality control and prescriptive maintenance

Manufacturing quality control– Identify defects

Prescriptive industrialmaintenance

– based on equipment condition

Speech To Text Natural Language Processing

Communication Surveillance – Speech to Text– Biometric search– Live Call monitoring

Autonomous Driving Connected Cars

HAD– Implementation of level 3 and

level 4 of autonomous driving

PEOPLETECHNOLOGYPARTERNSHIPS

A STORY

24Fixing Predicting

Generic Customized

Obedience Autonomy

Isolated Connected

THANK YOUsorin.cheran@hpe.com

CONFIDENTIAL 28