ART OF THE POSSIBLE. Houman Goudarzi Manager Innovation, IATA. 18TH AIRLINE MARKETING WORKSHOP, 1 st MARCH 2018

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Transcription:

ART OF THE POSSIBLE INNOVATION & TECHNOLOGY ACROSS THE AVIATION INDUSTRY Human Gudarzi Manager Innvatin, IATA 18TH AIRLINE MARKETING WORKSHOP, 1 st MARCH 2018

LEADING INNOVATION OPEN INNOVATION WITH DISRUPTERS ACCELERATE INNOVATION THROUGH INCUBATION & FUNDING DELIVER INNOVATION TO MARKET WITH SPEED IDEATE DEVELOP & TEST INCUBATE FUND IMPLEMENT GROW IATA INDUSTRY GROUPS OTHER INDUSTRY GROUPS IATA INDUSTRY THINK TANKS OTHER INDUSTRY THINK TANKS IATA INTERNAL IATA PARTNERS HACKS DEV PORTAL PROTOTYPING (IATA/PARTNER) ITG CONCEPTUALIZATION SPRINT IATA INCUBATION PARTNER INCUBATION IATA INNOVATION FUND COMPETITION PRIZES HACKS PRIZES PARTNER FUND IATA R&D BUDGET IATA TRANSF PROJECTS NewGen ISS NDC ONE ORDER CROSS-BORDER PAYMENT PILOTS MOBILIZATION & ADOPTION INDUSTRY CAMPAIGNS COMMUNICATIONS & PARTNERSHIP

WHATS ON THE RADAR ARTIFICIAL INTELLIGENCE BLOCKCHAIN TECHNOLOGY DRONE & UAV TECHNOLOGY AUGMENTED & VIRTUAL REALITY CRYPTO CURRENCIES BIOMETRICS & DIGITAL IDENTITY AUTONOMOUS VEHICLES RENEWABLE ENERGY

BLOCKCHAIN TECHNOLOGY Unique Slutin Disintermediatin Effect Data Security Cntinuus Availability

WHAT IS THE BLOCKCHAIN? A decentralized system that let's a grup f cmputers maintain a ledger guarantying its integrity, and availability + + Underlying technlgy f digital currencies such as Bitcin and Ether

UNDER THE HOOD User Identity Management Order f Entries/Blcks Advanced Ledgers Blckchains Asymmetric Cryptgraphy Cryptgraphic Hashing Public Private Permissinless Permissined

BLOCKCHAIN AREAS OF APPLICATION IN AVIATION Prvenance

BLOCKCHAIN AREAS OF APPLICATION IN AVIATION Identity Management

BLOCKCHAIN AREAS OF APPLICATION IN AVIATION Cdifying Agreements

BLOCKCHAIN AREAS OF APPLICATION IN AVIATION Tkenizing Value

BLOCKCHAIN AREAS OF APPLICATION IN AVIATION Certificatin

BLOCKCHAIN CHALLENGES Gvernance Structure Regulatry Cmpliance Scalability Perfrmance Crwd Dependency Develper Cmmunity

ARTIFCIAL INTELLIGENCE (AI) Field f study that gives cmputers the ability t learn withut being explicitly prgrammed. Samuel, Arthur L. (1959) Cmputer + human-like intelligence Lgical reasning Prblem slving Learning Embdied (e.g. Rbts) Disembdied (e.g. Siri, Ggle Nw) Cmputer Science Artificial Intelligence Machine Learning Deep Learning

WHAT IS INTELLIGENCE? T understand and analyze the evlutin f AI; ne requires t define it acrss sme simplified dimensins. The 4 dimensins belw are inspired by DARPA s perspective n AI. Analysis & Cnclusin Perceiving Outside Wrld Abstractin f Knwledge Learning frm Experiences

EVOLUTION OF AI Lgical reasning within a defined and limited space Learning thrugh big data Analytical awareness Applying knwledge t different prblem 1 st Gen AI 2 nd Gen AI 3 rd Gen AI 4 th Gen AI 1960 1970 1980 1990 2000 2010 2020????

AI 1 st GEN: RULE DRIVEN REASONING Analysis & Cnclusin 1 st Gen AI Lgical reasning within a defined and limited space Perceiving Outside Wrld Abstractin f Knwledge Learning frm Experiences Flight management cmputer systems used in sme aircraft t assist the pilt. Autpilt: T steer the aircraft alng a predefined trajectry withut pilt interventin. Aut cabin pressurizatin t ensure the envirnment is safe and cmfrtable.

AI 2 nd GEN: LEARNING THROUGH BIG DATA Analysis & Cnclusin 2 nd Gen AI Learning thrugh big data Perceiving Outside Wrld Abstractin f Knwledge Learning frm Experiences Analysis and predictin f passenger behavir/demand. Seamless airprt security prcesses, thrugh facial recgnitin and bimetrics. Optimizatin f revenue management, rute netwrk, fleet management.

AI 3 rd GEN: ANALYTICAL AWARENESS Analysis & Cnclusin 3 rd Gen AI Analytical awareness Perceiving Outside Wrld Abstractin f Knwledge Learning frm Experiences 3rd Gen AI desn't need t see thusand example images f different aircraft damage, t be able t detect ne n an aircraft. Why? "because the data says s

AI 4 th GEN: CONTEXTUAL AWARENESS Human Intelligence Analysis & Cnclusin 4 th Gen AI Applying knwledge t different prblem Perceiving Outside Wrld Abstractin f Knwledge Learning frm Experiences Self-flying planes. AI driving ptimizatin f revenue management, rute netwrk, fleet management. Autnmus in-flight services.

AREAS OF OPPORTUNITY CUSTOMER TOUCH-POINT CAPABILITIES OPERATIONAL CAPABILITIES SUPPORT & MANAGEMENT CAPABILITIES INTELLIGENT BOT ERA OUTCOME & IMPACT PREDICTION VALUE CHAIN RISK MANAGEMENT DYNAMIC RESOURCE ALLOCATION CORRELATIONS OF DATA ASSET (AIRCRAFT) PROTECTION PERSONALIZED FULFILLMENT AGILE AND ADAPTABLE OPERATIONS MAINTENANCE & SAFETY CHECKS DISRUPTION DAMAGE CONTROL AUTONOMOUS VEHICLES SUPPLY CHAIN RISK MANAGEMENT COMPLAINTS & CLAIMS AI DRIVEN MACHINE LEARNING FRAUD & DEFAULT MANAGEMENT IDENTITY MANAGEMENT ASSET PROVENANCE CERTIFICATION TOKENIZING LOYALTY REWARDS SMART CONTRACTS

THANK YOU! linkedin.cm/in/humang