Building Distributed and Decentralized AI Systems: Security and Privacy Challenges

Tim Llewellynn

9th April 2019Singapore

ARTIFICIAL INTELLIGENCE MARKETPLACE 2

h t tp s :/ / w w w .b o nse ye s .c o mCo p yrig h t Bo nse ye s 20 19 . All rig h t s re se rve d .

OVER 100 LEADING EUROPEAN DATA SCIENTISTS, DEVELOPERS, INDUSTRY EXPERTS PLATFORM FOR DISTRIBUTED AI SYSTEMS OF SYSTEMS DEVELOPMENT FOR EDGE COMPUTING

Countries : 9UK, Ireland, Serbia, Spain, Germany, Switzerland, Austria, Sweden, Greece

Partners : 14nViso SA, University of Castilla-La Mancha, Trinity College Dublin, FHNW, University of Edinburgh, Sciprom, ICCS, TechnischenUniversität München, University of Applied Sciences and Arts of Western Switzerland, Syno, ARM, ZF, RT-RK

Expertise : Compiler optimization, machine learning, computer vision, processor IP, embedded systems, application development, automotive manufacturing and components, and embedded software development.

ARTIFICIAL INTELLIGENCE MARKETPLACE 3

h t tp s :/ / w w w .b o nse ye s .c o mCo p yrig h t Bo nse ye s 20 19 . All rig h t s re se rve d .

DATA REDEFINING USER EXPERIENCES -> AI PREDICTIVE POWER INCREASESIMPROVES SIGNIFICANTLY WITH MORE DATA AND COMPUTE POWER DOMINATED BY A CLOUD CENTRIC MODEL

Indispensable to Business to Consumer Products• Asian tech leaders predict artificial intelligence and

cognitive computing will be the most disruptive technology impacting the global business-to-consumer (B2C) marketplace.

• Companies rapidly leveraging AI to enter into new markets and taking leadership positions.

FROM SENSOR TO USER EXPERIENCE

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High Barriers to Entry

• Structural investment required• Systems improving overtime through

increasing generation of new data• Loyalty by continually improving experience

Chicken/Egg Problem for New Comers

• Not enough data to compete/attract users• Struggle to maintain critical mass• Latecomers to AI will face significant

barriers to entry that are almost impossible to surpass

CREATES STRONG DATA NETWORK EFFECTSTENDANCY TO CENTRALIZE DATA

ARTIFICIAL INTELLIGENCE MARKETPLACE 5

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AI can predict sleep patterns based on encrypted data traffic

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REDUCE MOVEMENT OF DATADECENTRALIZED AND DISTRIBUTED AI

Cloud algorithms run at the data center on custom FPGA / GPUs or dedicated hardware and CPUs.

Edge algorithms runs on appliances between devices and cloud data centers running Intel x86 or GPUs.

Device algorithms run devices such as mobile phones, watches, and IoT devices often battery operated

Sensor algorithms run directly on sensor data at the sensor before communicating data to the network or main processing unit over a form of interconnection.

Centralized and Monolithic

High

LOW

Movem

ent of Data

ARTIFICIAL INTELLIGENCE MARKETPLACE 7

h t tp s :/ / w w w .b o nse ye s .c o mCo p yrig h t Bo nse ye s 20 19 . All rig h t s re se rve d .

• Galvanize EUROPEAN AI community around challenge based, user driven innovation.

• Create a sustainable research-development-industry virtuous cycle.

• Develop a suitable software infrastructure.

• Fill technology gaps.• Develop a Strategic Research and

Innovation Agenda for AI including ELSE (Ethical, Legal, Socio-Economic).

EUROPEAN AI ECOSYSTEMINDUSTRY DRIVEN INNOVATION

DATA

KNOWLEDGE

ALGORITHMS

TOOLS

AUTOMOTIVE

HEALTHCARE

FINANCE

MANUFACTURIN

RESEARCHERS INDUSTRY

MULTIPARTY COLLABORATION

AI SERVICE LAYER FOR EDGE AI

ARTIFICIAL INTELLIGENCE MARKETPLACE 8

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ENABLING MULTI-PARTY COLLABORATIONARTIFICIAL INTELLIGENCE VALUE CHAIN

The Bonseyes Marketplace provides the reuse of data, meta data, and models among separate legal entities, to significantly reduce design and development time in building systems of artificial intelligence. It support a number key actors in the AI value chain:

• Challenge Providers• Data Providers• Data Scientists• Application Developers• Infrastructure Providers• Solution Integrators

BENCHMARKKNOWLEDGE

Data Scientists App Developers

Infrastructure Providers

SERVICES & TOOLS

DATA MODEL APPLICATION

USE

CAS

ECH

ALLE

NGE

SDa

ta P

rovi

ders

DATA

-DRI

VEN

SOLU

TIO

NS

Inte

grat

ors

AI Marketplace Participants

80% Reduction in Time and Cost

ARTIFICIAL INTELLIGENCE MARKETPLACE 9

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INDUSTRIES THAT ARE SUPPORTEDWHY GET INVOLVED?

Boost Competitiveness• Top European intelligent product/service research• Reduce CAPEX, experts, time to adoption

Boost Technology Transfer• Mobilize talent, innovation hubs, pilots• Integrated assets, tools, data portals• European industry user-driven challenges

Boost Tech Convergence • Fertilize technology leadership• AI coalitions and interworking• Expand current market

AI SERVICE LAYER FOR EDGE AI

USECASESINFRASTRUCTURE

FinanceManufacturing

TALENT

AutomotiveHealthcare

DATA

USE CASES

Diagnostics Autonomous Driving

Predictive Maintenance Fraud

AI ENABLING TECHNOLOGIES

LEARNING VISION SPEECH NLP DIALOG

CPS ROBOTICS IOT BIG DATA HPC 5G

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732204 (Bonseyes). This work is supported by the Swiss State Secretariat for Education‚ Research and Innovation (SERI) under contract number 16.0159. The opinions expressed and arguments employed herein do not necessarily reflect the

official views of these funding bodies.

Questions?

www.bonseyes.com