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AI, HPC, Quantum: one more year down the road

Jérôme StollerHead of Artificial Intelligence (AI) & Software EngineeringDistinguished expert & member of the scientific community

Technology Days 2019 Artificial Intelligence

This is just the beginning of data revolution

By 2022, data produced outside data center and cloud will reach 75%

Today, less than 5% of all accessible data is analyzed

By 2030, data produced will reach 1 YottaByte

99%

By 2020, 99% of enterprise-captured video/image will be analyzed by machines

75%25%75%

1YB

5%

175Zettabytes

in 202550

Zettabytes

in 2020

33Zettabytes

in 2018

4

Zettabytesin 2013

We are here

Sources Gartner, IDC, Statista, Atos1 Zettabyte = 1,000,000,000,000, 000,000,000 bytes

1Yottabytearound2030

1 Yotta=1000 Zetta


4 challenges to leverage the data revolution

4

Edge Computing

▶ Computer Vision

▶ Real-time analytics

75%5%

1

Data center platforms

▶ Performance

▶ In-memory

▶ Massive data sets

1YB

2

Trust in data

▶ Data quality

▶ Data security

▶ Data privacy

5%

3

Data science AI platform

▶ Develop models

▶ Deploy from DC out to the edge

▶ Train & Infer models

99%


Data center platformsHybrid supercomputer for AI-augmented simulation

Flexibility and Customization

High Performance Storage

Reduced TCO

Open sequana architecture

Secure

VIR

TU

ALIZ

ATIO

N Hybrid

Ultra energy efficient

Futureproof

Highly secure

1

2

3

4


Data center platformsBullSequana S: Powerful, Ultra-scalable, Modular & Flexible


Our commitment in Quantum ComputingAtos Quantum Program

Quantum Programming

Platform

Quantum Algorithms

Next Generation Architectures

Quantum safe cryptography

1 2

3 4


▶ for education (universities)

▶ for research (research centers, university labs)

▶ for HPC ecosystems (post Moore’s law)

▶ for industry (first contracts)

The Atos Quantum Learning Machine huge success

Democratize quantum programming for researchers, students and developers worldwide


End-to-end, fast developmentof complex enterprise use cases

Applications are infrastructure-agnostic

Multi-frameworks ML Engine

Studio Forge Orchestrator ML Engine

Data science AI platformThe fast track to Artificial Intelligence Codex AI suite

12

Enable to easily combine ML, DL, analytics and data management to deliver complex and accurate use cases

Enable applications to run on HPC, enterprise and Edge servers, on clouds and on-premises

Advanced usage All Kind of data


Accelerating AI everywhere

CYBER SECURITY

COGNITIVE DATACENTER

COMPUTER VISION

SET OF TOOLSFast development and

deployment of use cases

SET OF ALGORITHMS & MODELSfor computer vision and

prescriptive maintenance

PROFESSIONAL SERVICES Use case

customisation


Codex AI Suite - Cognitive Data CenterEach minute of partial or global outage in a Data Center costs 9k$ in average.

This software, embedding specific AI components, is aimed at resolving these challenges:

Behavior analytics from logs and metrics – Understand systems through events

Anomaly & outlier detection: Increase accuracy, discover new incident pattern

Root cause analysis with service impact prediction and incident prioritarization

Root cause discovery in maintenance reports

PREDICT & DETECT PRESCRIPTION & INVESTIGATION SUPPORT


Codex AI Suite – Video Intelligence Delivering real-time person reidentification & search

▶ Existing product features

City map correlationSearch by photo or

attributes with replay sequence

Manage targets with path reconstruction

Best of breed of DL for video intelligence industrialized

2 Years of research on reidentification model

Multi-target multi-camera real-time people tracking and reidentification


Prescriptive SOCLeveraging AI to perform additional security

Adding a layer of defense… …by leveraging the User and EntityBehaviour Analytics

HOST ACCESS ANOMALY UNUSUAL ADMIN TOOLS USAGE

LOGON TYPES ANOMALY

SUSPICIOUS URL ON FRESHLY REGISTERED DOMAIN

Analysis & RemediationStatic defense

Avs, FWsKPI-based

UBAUEBA: Deep behavioral

analytics


AI – And next year? AI4SIM

Scheduling & runtime

Job Placement

Communication

Data Movement

Self-learning production analysis tool Provide production insights & recommendation

at the exascale level for customer exploitation

In the simulation business:• Improve simulation time to science through ML

• Replace Science Algorithms by ML based systems


Big Data Analytics

IOT

AI Machine Learning

European Processor Initiative

Quantum

Exascale and beyond

TECHNOLOGY CORNER

Compute & processQuantum computingQuantum Learning Machine

Cognitive EngineConversational AI for improved experiences

INDUSTRY CORNER

Future-proof Telecom

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