Embed Size (px)
Citation preview
The Rise of Smart Mobility Era – Part 3
The Coming Fourth Digital Revolution in the Travel Ecosystem
William El Kaim – May 2015
This Presentation is part of the
Enterprise Architecture Digital Codex
http://www.eacodex.com/Copyright © William El Kaim 2016 3
Read the Companion Article on SKIFT
Copyright © William El Kaim 2016 4Access the Article
Lisez l’article associé à cette présentation sur TOM
Copyright © William El Kaim 2016 5Accès à l’article
Plan
• The 4th Revolution In Travel Industry: Travel As A Service And Mobility
• Interactive Proactive Multimodal Intermodal Assistant
• The Power of Big Data
• Pervasiveness Through Unbundling and Deep Linking
• Disruptions: End of Intermediaries?
6Copyright © William El Kaim 2016
The 4th Revolution In Travel
Industry: Travel As A Service
And Mobility
7Copyright © William El Kaim 2016
Customer at the HEART!
8Copyright © William El Kaim 2016
Sharing Economy
9Copyright © William El Kaim 2016
The 4th Revolution – Mobility as a Service
SOLOMO*
Sharing, User Generated Content,
Direct Booking
Pervasive access and usage of information pushed to people and connected objects: Open Data, Big Data, User Generated content, multimodal planner, etc.Mobility information natively supported in Calendar app, Operating System, voice activated virtual assistant, TV.
Travel booking is now commoditized and offered by Retail and eCommerce online shopsLocal and domestic transportation offer challenged in real time by customers and usageNew business models are emerging for renting vs. sharing vs. owning, impacting the transportation industry as a whole.
GDS
Birth of Travel Agency
Internet
Birth of Internet Travel Agencies and
Corporate Travel
Mobility
Smart city, Live Door To Door
Multimodal Journey
* SOLOMO means Social, Local, Mobile
11Copyright © William El Kaim 2016
Sidewalk Lab (from Google)
• We’re on the brink of a historic period for cities around the world.
• By 2050, the population in cities will double, intensifying existing
socioeconomic, public health and environmental problems.
• At the same time, innovations in technology can be used to design
communities that are more efficient, responsive and resilient.
• Sidewalk Labs aims to foster the development of technology products,
platforms and infrastructure that help improve life in cities around the world.
Copyright © William El Kaim 2016 13http://www.sidewalkinc.com/
Re-programming Mobility … and Travel
• Travel industry = 9,2% of global GDP
• Half is terrestrial, half is digital …
• Technology operates on 2 axis: making things and moving things
14Copyright © William El Kaim 2016
Re-programming: Software is Eating the World
• Value from bits (information content) grows faster
than the value from atoms (the physical product
or human-delivered service)
• Digital capabilities increasingly will determine which
companies create or lose value.
• The “plug and play” nature of digital assets causes
value chains to disaggregate, creating openings for
focused, fast-moving competitors.
• New market entrants often scale up rapidly at lower
cost than legacy players can, and returns may grow
rapidly as more customers join the network.
Source: McKinsey Quarterly and PWC15Copyright © William El Kaim 2016
API and Open Source Everywhere
16
https://developer.uber.com/
https://sudo.hailoapp.com/
Copyright © William El Kaim 2016
Mobility Aggregator: Capitaine Train
• Capitaine Train sells train tickets to
European destinations from SNCF,
Deutsche Bahn, Eurostar, Thalys
and more.
• It works on mobile, with an
emphasis on delivering great
customer support.
• Does not own any train!
https://www.capitainetrain.com/ 17Copyright © William El Kaim 2016
Tempo: Interactive Notifications
• Interactive Notifications are available to those on iOS8, and bring you contextual alerts so you don’t need to dig for information — it’s all brought to you.• Get maps, directions and estimated drive
times.
• Send “running late” texts or emails to meeting attendees.
• Dial-in to a conference call.
• Check flight status, terminal and gate information.
• Find and order Uber rides to your next meeting, intelligently auto filling destinations based on data from your calendars.
• Discover the weather forecast based on location.
http://www.tempo.ai/ 18Copyright © William El Kaim 2016
Calendar42: Mobility Attached to Agenda
19http://site.calendar42.com/
Copyright © William El Kaim 2016
“Intelligent Email”
20http://www.slidemailapp.com/Copyright © William El Kaim 2016
Using Hackatons To Reinvent Mobility
• 2 months to build a
connected mobility app
using API from one
Bank, connected car
startup Xee, Salesforce
and mobility providers
(Uber, ZenPark).
http://mobilebankingfactory2.bemyapp.com/ 21Copyright © William El Kaim 2016
Re-programming Mobility
• In lieu of large civil infrastructure projects, transportation systems are increasingly
being augmented with a range of information technologies that make them smarter,
safer, more efficient, more integrated.
• Transformation is now being driven by the private sector.
• Companies are investing in infrastructure for mobility on a similar scale, but using very different
technology.
• All but invisible to planners and citizens alike, new communications network are
becoming the most important transportation infrastructure of our era, enabling us to re-
invent the how our roads, transit systems, and freight and logistics networks function.
• The hidden nature of these new mobility infrastructures – tiny devices in our pockets
communicating over invisible radio waves with algorithms running on servers in the
cloud – has conspired to conceal the important public policy and planning issues that
their mass adoption raises.Source: RE-PROGRAMMING MOBILITY, The Digital Transformation of Transportation in the United States, Dr. Anthony Townsend, Senior Research Scientist; Rudin Center for Transportation Policy & Management
22Copyright © William El Kaim 2016
Re-programming Mobility
• A large portion of 2020 revenues are likely to come from products and
services that don’t even exist today
• Advances in technology without a change in business model nor traction are
mere productivity gains from the multitude’s standpoint, and are
commoditized in the blink of an eye, preventing the company from
differentiating itself.
Source: Frost and Sullivan
23Copyright © William El Kaim 2016
4th Digital Revolution: Pulled by Unicorns
• “The Unicorns”, the billion-dollar tech
startup was supposed to be the stuff of
myth said Forbes. Now they seem to be
… everywhere.
• AirBnb, GrabTaxi, SpaceX, Lyft, Uber, to name
a few, are already conquering the world.
• E-Commerce companies are also
entering the travel and transport market
• Amazon and eBay selling hotels, or Alibaba
launching AliTrip
• Giants in Asia are also selling Travel, with a
mobile vision
• Qunar
• Didi Dache taxi hailing service via the WeChat
app
24Copyright © William El Kaim 2016
Top Technology Shift To Leverage
25Copyright © William El Kaim 2016
Interactive Proactive Multimodal Intermodal Assistant
26Copyright © William El Kaim 2016
IPITA Vision
• Integrated proactive intermodal travel assistant (IPITA) creates an integrated
tool for selecting, booking and navigating different modes of travel
customized to individual needs, using real-time information and advanced
technology.
• Easy to steer, it uses smart devices or other interfaces such as data glasses
or contact lenses as displays.
• Any changes or disruptions, such as congestion or weather problems, are
directly detected, and alternative modes of travel or rerouting are suggested
in real time.
• All of this is provided by one interface that can also purchase a ticket for all
the transportation required.
Source: World Economic Forum/The Boston Consulting Group analysis; illustrated by The Value Web 27Copyright © William El Kaim 2016
Source: World Economic Forum/The Boston Consulting Group analysis; illustrated by The Value Web 28Copyright © William El Kaim 2016
IPITA: Not Existing Yet
Source: World Economic Forum/The Boston Consulting Group analysis; illustrated by The Value Web 29Copyright © William El Kaim 2016
IPITA: Business Models
30Copyright © William El Kaim 2016
The Power of Big Data
31Copyright © William El Kaim 2016
Mobility Ecosystem requires Big Data
• The shift from a world of static reporting (aggregated data on cubes) to a
world of predictive and intelligence services (generated value from data in
multiple ways) is Now!
• Rise of predictive information through cards
• Leveraging both data at rest (stored in a database) and data in motion (data
stream in real time) is the new normal.e
32Copyright © William El Kaim 2016
The Power of Big Data
Historical Data
Big Data: Data Mining, Reporting, and Benchmarking, Forecasting
33Copyright © William El Kaim 2016
Google Flight Explorer
https://www.google.com/flights/explorer/34Copyright © William El Kaim 2016
SkyScanner Traveler Insight
35http://business.skyscanner.net/portal/en-GB/AnalyticsCopyright © William El Kaim 2016
NYC Taxi Data Visualization
http://googlemapsmania.blogspot.co.uk/2014/11/mapping-new-york-taxi-data.html 36Copyright © William El Kaim 2016
Safety Line
http://www.safety-line.fr/en/ 37Copyright © William El Kaim 2016
Uber Leaderboard
https://uberstats.parseapp.com/ 38Copyright © William El Kaim 2016
The Power of Big Data
Live Data
Live Dashboards and Tracking systems like Pre and Post Ticketing, Early compliance and fare check.
Historical Data
Big Data: Data Mining, Reporting, and Benchmarking, Forecasting
39Copyright © William El Kaim 2016
Waze Live Map
https://www.waze.com/fr/livemap 41Copyright © William El Kaim 2016
Airports Misery Map
http://fr.flightaware.com/miserymap/ 43Copyright © William El Kaim 2016
Train Misery Map by CrowdSourcing
http://www.raildar.fr/
If you do not open your data, the crowd will do it for you!
44Copyright © William El Kaim 2016
Train Maps by SNCF
http://www.sncf.com/fr/geolocalisation 45Copyright © William El Kaim 2016
The Power of Big Data
Forecast Data
Ad-hoc advanced analytics or for pro-active information generation through information cards (like Google Now!)
Live Data
Live Dashboards and Tracking systems like Pre and Post Ticketing, Early compliance and fare check.
Historical Data
Big Data: Data Mining, Reporting, and Benchmarking, Forecasting
46Copyright © William El Kaim 2016
Qucit: Forecast Urban Mobility
http://www.qucit.com/#top 48Copyright © William El Kaim 2016
Urban Engines : CrowdSourcing or Tracking?
• Without embedding any sensors in the subway or video cameras watching the platforms, Urban Engines can tell:• things like how long commuters were waiting, how many trains went by that were so full
commuters couldn’t get on and what the volume of each train car was throughout the day.
• It only needs the data from when the commuter enters and exits the station, and by knowing the aggregate of all the commuter data at the same time, it can infer how the system is operating.
• Essentially, Urban Engines is taking the smallest and cleanest amount of data possible to map out the entire public transportation network.
• Could be used also inside airports or in any place where mobility could be tracked
• https://www.urbanengines.com/
Source: Gigaom 51Copyright © William El Kaim 2016
Urban Engines
Videohttps://www.urbanengines.com/
52Copyright © William El Kaim 2016
Urban Engines
Source: Gigaom 53Copyright © William El Kaim 2016
Urban Engines
Source: Gigaom 54Copyright © William El Kaim 2016
Urban Engines
Source: Gigaom 55Copyright © William El Kaim 2016
MultiModal and Time Series - iGeolise
http://www.igeolise.com/ 56Copyright © William El Kaim 2016
Beeline
• Singapore has announced a proof of concept for an experimental bus scheme that could allow citizens to reserve bus seats and create new routes that better suit their needs.
• The scheme, called Beeline, is intended to allow commuters to suggest where they would like to be picked up from, and where they would like to go.
• The government has this week launched a web site - beeline.sg - with an interactive map for this purpose.
• If enough citizens suggest a new route, a private bus service could be activated.• Other proposed features include allowing pre-
booking of seats; notifications of bus arrival times; and express buses for especially popular routes.
Copyright © William El Kaim 2016 58https://www.beeline.sg/
Public Bus On Demand
• MIT researchers have created a platform that could turn bus transportation
into your own personal pickup service.
• Platform that would place buses strategically around the city.
• As people request them via phone or computer, the buses would use an algorithm to
reroute to their locations. It would take no more than seven minutes for a bus to arrive.
• Karthik Narayan, a senior experience designer at Isobar US, has a potential
solution: on-demand public buses that pick you up wherever you are and
drop you off where you need to go, no need to run to the bus stop or go ten
blocks out of your way.
• The concept is a bit similar to the carpool services that Uber and Lyft offer
today.
• Source: FastCoExist
Copyright © William El Kaim 2016 59https://youtu.be/_JF5jWdJXPw
Xerox Mobility Analytics Platform
• Xerox’s new Mobility
Analytics Platform
(MAP) provides a new
city-wide picture of
transportation operations
including, adherence to
schedules, passenger-
loading levels and car
park utilization rates.
• The world’s leading
provider of parking
spaces, VINCI Park is
testing MAP in Neuilly,
France
60Copyright © William El Kaim 2016
Sabre MarketPlace Analytics
• Offers airlines visibility into shopping activity for their routes, including how well they are converting travel demand into bookings.
• Analytical dashboards and heat maps used to visualize shopping activity for travel up to a year in the future and as far back as 120 days in the past
61Copyright © William El Kaim 2016
WayBlazer: IBM Watson for Travel
http://wayblazer.com/ 63Copyright © William El Kaim 2016
BD4Travel
• bd4travel (“Big Data for
Travel”) offers IT solutions for
real time personalization and
targeting of customers and
customer segments on travel
portals.
Copyright © William El Kaim 2016 64http://bd4travel.com/
Pervasiveness Through
Unbundling and Deep Linking
65Copyright © William El Kaim 2016
SIRIUS
• SIRIUS open source
initiative
• Provide an end-to-end
standalone speech and
vision based intelligent
personal assistant (IPA)
• Similar to Apple’s Siri,
Google’s Google Now,
Microsoft’s Cortana, and
Amazon’s Echo.
67Copyright © William El Kaim 2016
Xerox New Virtual Agent
• Xerox has developed an intelligent, virtual customer care agent that is capable of understanding and solving customer queries in the same way a human agent would.
• The WDS Virtual Agent is based on artificial intelligence research developed by PARC and the Xerox Research Centre Europe (XRCE) and is capable of learning from its human colleagues.
• The AI software listens to human agents diagnose and solve customer issues and then develops the intelligence required to answer customer queries itself, without having to be programmed.
http://www.wds.co/product/self-care/virtual-agent/68Copyright © William El Kaim 2016
3rd Generation Mobile App is There
• First generation: ‘information appliance’ model.
• Using software, you transformed your phone into a mostly mono-purpose device just
like it said on the tin. Now it’s a phone. Now it’s a calculator. Now it’s a messaging tool.
• Second generation: the ‘home screen’ era
• Every app fought hard to be your home base.
• The prevailing wisdom was that you had to cram everything your service offered into
mobile, using a form of design-driven gavage to stuff your app until it was positively
groaning with tabs and gutters and drawers.
• 3rd Generation: Apps As Service Layers
• Apps you have on your phone but only open when you know they explicitly have
something to say to you
• They’re purpose built and informed by contextual signals like hardware sensors,
location, history of use and predictive computation.
Source: TechCrunch 69Copyright © William El Kaim 2016
The Age Of Apps As Service Layers
• These ‘invisible apps’ are less about the way they look or how many features
they cram in and more about maximizing their usefulness to you without
monopolizing your attention.
• A confluence of factors have made these kinds of context-aware apps
possible at this point in time.
• Increasing power efficiency in physical memory and device processors has led to better
battery life.
• As iOS and Windows Phone and Android get more sophisticated and more contextually
aware, they’re providing the tools needed by developers to not only collate and act on
these signals, but also to present them to a user with speed and care.
• And services like Foursquare or Waze have reached a critical mass of data and users
that have enabled it to develop systems for accurately telling whether you’re walking by
a restaurant or actually walking in the doors.
Source: TechCrunch 70Copyright © William El Kaim 2016
The Age Of Apps As Service Layers
Source: GLASSEFFECT 71Copyright © William El Kaim 2016
The Age Of Apps As Service Layers
Source: GLASSEFFECT 72Copyright © William El Kaim 2016
Hailo New Google Now Card
• Hailo has teamed up with Google to introduce a Now card that will help make the commute a little bit easier for its customers.
• Instead of poking around in apps and web pages to find what you need, Now cards in the Google app can give you the right information at exactly the right time.
• For people who have opted in to Google Now and have downloaded the Hailo app, the HailoNow card will send an alert to anyone who has booked a journey from outer London zones in to Central London between 7-10am in the morning an offer of a cab home if the passenger is still in the same London location after 5pm.
73https://blog.hailoapp.com/2015/02/02/hailo-google-now/
Copyright © William El Kaim 2016
Mobile App Linking
http://applinks.org/
Apple shows off iOS app extensibility at WWDC 2014.Extensibility opens the door for developers to hand off data between apps and work with content between apps.
74Copyright © William El Kaim 2016
Scout: Mobile Taxi Aggregator in India
75
Check real time
availability of cabs
across multiple
service providers in
one single app.
Once you have selected your nearest cab, the app will lead you to the relevant
service providers app to complete the
booking
http://scootapp.com/Copyright © William El Kaim 2016
Le Taximetre: Taxi/Black Car Aggregator in France
Copyright © William El Kaim 2016 76http://www.letaximetre.fr/
Quixey
78http://www.quixey.com/Copyright © William El Kaim 2016
From AdWords to AppWords
• New technology that lets mobile apps reach outside of their respective walled gardens so that users can search and navigate between specific places within them.
• Israel’s Deeplink.melaunched AppWords, a mobile search and ad platform that uses keywords to trigger relevant content between one app and another.
• Installed Apps will bid for displaying the ads and link to them.• Several Taxi Apps can bid for an ad on
an Itinerary
79http://deeplink.me/appwordsCopyright © William El Kaim 2016
UBER New API
https://developer.uber.com/ 80Copyright © William El Kaim 2016
Ride New Carpooling Commuting Service
81https://www.ride.com/Copyright © William El Kaim 2016
Travelstart Use Yo!
https://index.justyo.co/a/TRAVELSTART 82Copyright © William El Kaim 2016
Pocket WiFi
http://hippocketwifi.com/en/ 83Copyright © William El Kaim 2016
Disruptions: End of
Intermediaries?
85Copyright © William El Kaim 2016
Uber Quicker Than Taxi
• In a few short years, ride-sharing
companies have dominated their taxi
competitors. In San Francisco alone,
Uber reportedly earnsmore than three
times the entire taxi market ($500 million
vs. $140 million).
• The longer Uber exists in a city, the less
patient consumers become. Uber is
making consumers impatient!
• Uber alerts drivers to a potential surge
in users, they hop on the road and are
back home in a few hours.
• Big data and predictions are key!
86Source: The WeekCopyright © William El Kaim 2016
HRG Splits Operations – Launch Fraedom
http://www.fraedom.com/ 87Copyright © William El Kaim 2016
Locomote Disrupted Bus. Travel in Austalia
88Copyright © William El Kaim 2016
NexTravel: New OBT
https://www.nextravel.com/intro 89Copyright © William El Kaim 2016
Serko: New Mobile App for Bus. Traveler
90Copyright © William El Kaim 2016
Ex: Ride Share in Washington D.C.
• Lift startup based out of the 1776 tech incubator, offers an app-based hailing system similar to Uber or Lyft but with its own gimmicks designed to make it stand out.• Counts Transdev as investor
• Split works much like a car-pool. • Drivers will pick up customers who are all going the same way, taking them to their
destination one by one.
• It's $2 per ride and $1 per mile with no surge pricing, with rides costing between $2 and $8.
• The eventual plan is to cover the entire District, but for now, Split is driving around the area in the map below and has about 20 drivers working for them.
• Compete with: Uber, Lyft, Sidecar and Green Tomato Cars + commuter sharing startup Bridj + Getaround, a shared-car rental platform
Copyright © William El Kaim 2016 91
http://www.bridj.com/#new-page
Bridj: Luxury Shuttle on Demand in DC
93Copyright © William El Kaim 2016
Getaround in DC
Copyright © William El Kaim 2016 94https://www.getaround.com/
Transloc
• The emerging TransLoc operating system can draw on Traveler data in two key ways.
• First, it can inform agencies that some of their fixed route service might be inefficient—say, by changing the number of buses or routes that run at different times of the day based on ridership.
• More critically, says Kaufman, the new system will be able to recommend where transit agencies can supplement existing fixed service with a more flexible, on-demand option.
95http://transloc.com/Copyright © William El Kaim 2016
LA Zooz – No company – Bitcoin like
http://lazooz.org/ 96Copyright © William El Kaim 2016
Mobility Era Will Lead to New Ecosystems
97Copyright © William El Kaim 2016
Source: TheFamily98
Uber, Leap Transit, and Bridj have
made mass transit agencies realize
that their captive ridership could actually be threatened over time.
Copyright © William El Kaim 2016
Digital Darwinism
Source: Altimeter 99Copyright © William El Kaim 2016
Red Queen Effect
Source: Meedabyte 100Copyright © William El Kaim 2016
Evolutions of Ecosystem
Traveler
Travel agency
GDS
Airlines, Train, Hotel
Traveler
GDS
Airlines, Train, Hotel
MetaSearch
Aggregators
Travel agencyOnline Travel
agencyDirect Booking
101Copyright © William El Kaim 2016
Conquering the Last Mile
TravelerDoor-to-door
GDS
Airlines, Train, Hotel
MetaSearch
Aggregators
Travel agencyOnline Travel
agencyDirect Booking
Taxi, VTC, Bikes, car sharing, restaurant etc.
Mobility Planner
Direct Booking
102Copyright © William El Kaim 2016
Anatomy of a Modern Digital Business (Pivotal)
103Copyright © William El Kaim 2016
Platform Needed…
104
The new digital, networked, real-time society forces us to start thinking and acting as an ecosystem
Ecosystems are developed using platforms to glue services via API and funds to encourage startups and partners to hook in
Copyright © William El Kaim 2016
Key Resources
• Connected World – Transforming Travel,
Transportation and Supply Chains, World
Economic Forum.
• Re-programming Mobility: The Digital
Transformation of Transportation in the
United States
• Frost & Sullivan’s Future of Mobility
Claudine O'Sullivanhttp://www.claudineosullivan.com/Email : [email protected]
William(at)el-kaim(point)com
+33 6 41 73 00 34
http://fr.linkedin.com/in/williamelkaim
http://www.twitter.com/welkaim
http://www.slideshare.net/welkaim
105Copyright © William El Kaim 2016
![WELCOME [nursing.ubc.ca] · WELCOME FROM THE SYMPOSIUM PLANNING COMMITTEE Hello everyone, Thank you for coming, and welcome to the fourth annual 2016 Graduate Student Nursing Research](https://img.dokumen.tips/doc/110x75/5e38ddfe02986c64c46a5b5d/welcome-welcome-from-the-symposium-planning-committee-hello-everyone-thank.jpg)
