What is Artificial Intelligence? Where is the value potential of AI? Major Acquisitions in AI AI business cases AI (& BI) Ecosystem AI challenges Networking/expertise Conclusion

1. Artificial Intelligence
Concept, Markets, Opportunity & Community
2017

2.  What is Artificial Intelligence?
 Is the AI just a “Hype”?
 Where is the value potential of AI?
 Major Acquisitions in AI
 AI business cases
 Annexes

3. What is Artificial Intelligence?
Intelligence
the capacity to learn and solve problems
Artificial intelligence (since 1956)
AI is the intelligence of machines and robots and the
branch of computer science that aims to create it :
the ability to solve problems
the ability to act rationally
the ability to act like humans
“The ability of a system to autonomously learn from data
and turn this knowledge into actions and / or
recommendations”
(Innoviris)
Several approaches
AI brings together sciences and technologies that make it possible to
imitate and/or to increase human intelligence using machines

4. What is Artificial Intelligence?
Some key dates
Dartmouth Conference,
the first artificial
intelligence conference
 By McCarthy, Marvin,
Minsky
The Man (Garry Kasparov)
vs. The Machine (Deep Blue- IBM)
The 1997 match was the first defeat of a reigning world
chess champion to a computer under tournament conditions
Natural language : Jeoparty (Game) IBM's
Watson computer facing off against
 Watson proved it can understand the
nuances of language and contextual references
.
AI has definitively
bested humans at poker
(casino in Pittsburgh)
The AI, named Libratus,
was created by
researchers at Carnegie
Mellon University and
bested its opponents by
$1.76 million in chips.
intelligent personal assistant
Sirri (Apple, Now (Google),
Cortana (Microsoft°
Singularity concept
The first anthropomorphic robot,
the WABOT-1 with a limb-control
system, a vision system and a
conversation system (Japan)
Dendral, The first
expert system
(a computer system
that emulates the
decision making
ability of a human
expert)
AlphaGo is AI computer program (by machine learning)
developed by Google DeepMind
 it became the first Computer Go
program to beat a human professional
Go player
 this started the Deep Learning
awareness in the Industry

5. What is Artificial Intelligence?
New Industrial Revolution
Source : http://journal.jp.fujitsu.com/en/2016/01/12/01/
Salesforce CEO Marc
Benioff says that AI is way
bigger than that, and is really
the next big thing
after mobile and social
changed the tech world over
the past five years
“An important shift from a
mobile first world to an
AI first world”
declared Google CEO
Sundar Pichai, summarizing
the Google I/O 2017 keynote
Apple CEO Tim Cook has talked
about the importance of expanding
artificial intelligence and machine
learning across the company’s
products (Apple WWDC - June 2017)
Amazon Jeff Bezos “ AI
is Renaissance to
Technology, Business
and Society“
&
“AI to Fuel
Amazon's Success”
“We have no global
growth, we need
AI” says Microsoft
CEO Satya
The Era of
Thinking
Computers
Is Here, Says IBM
CEO Ginni
Rometty
« My Successor will
govern a country being
transformed by
AI » (2016)

6. What is Artificial Intelligence?
AI covers different sub-specialties*
Deep/Machine Learning · Virtual Assistants · Computer Vision / Image Recognition · Statistical
Methods · Algorithm · Machine reasoning · Affective computing · Computational Intelligence ·
traditional symbolic · Big Data · MapReduce · Mechanism design · Data warehouses · Data
analytics · Knowledge extraction · Robotics · Neural networks · Computational linguistics · Data
Science · OpenAI · Video Automatic Content Recognition · Chatterbot · Abstract data type…
*https://en.wikipedia.org/wiki/Glossary_of_artificial_intelligence
*https://blogs.thomsonreuters.com/answerson/artificial-intelligence-legal-practice/
Technology Classification
Main categories

7. What is Artificial Intelligence?
http://www.brandknewmag.com/artificial-intelligence-and-you-demystifying-the-technology-landscape/
Technology Positioning
Category/Outcome
IBM, Salesforce
Collaborate to
Strengthen
Presence in A.I
(that will make the
decision making
process smooth
for clients)
SEE = Watson Visual
Recogntion
HEAR = Watson
Speech-to-Text
READ = Natural
Language Processing
FEEL (empathy) = Watson
Personality Insights
SPEAK = Watson Text-
to-Speech

8. Is the AI just a “Hype”?
Top 10
Hot Artificial Intelligence Technologies
http://www.forbes.com/sites/gilpress/2017/01/23/top-10-hot-artificial-intelligence-ai-technologies/#73439a6442de
1.Natural Language Generation: Producing
text from computer data. Currently used in customer
service, report generation, and summarizing business
intelligence insights. Sample vendors: Attivio,
Cambridge Semantics, Digital Reasoning,
Lucidworks, Narrative Science, SAS.
2.Speech Recognition: Transcribe and
transform human speech into format useful for computer
applications. Currently used in interactive voice response
systems and mobile applications. Sample vendors:
NICE, Nuance Communications, OpenText, Verint
Systems.
3.Virtual Agents: “The current darling of the
media,” says Forrester (I believe they refer to my
evolving relationships with Alexa), from simple chatbots
to advanced systems that can network with humans.
Currently used in customer service and support and as a
smart home manager. Sample vendors: Amazon, Apple,
Artificial Solutions, Assist AI, Creative Virtual,
Google, IBM, IPsoft, Microsoft, Satisfi.
4.Machine Learning Platforms: Providing
algorithms, APIs, development and training toolkits, data,
as well as computing power to design, train, and deploy
models into applications, processes, and other
machines. Currently used in a wide range of enterprise
applications, mostly `involving prediction or classification.
Sample vendors: Amazon, Fractal Analytics, Google,
H2O.ai, Microsoft, SAS, Skytree.
6.Decision Management: Engines that insert rules and
logic into AI systems and used for initial setup/training and
ongoing maintenance and tuning. A mature technology, it is used
in a wide variety of enterprise applications, assisting in or
performing automated decision-making. Sample vendors:
Advanced Systems Concepts, Informatica, Maana,
Pegasystems, UiPath.
7.Deep Learning Platforms: A special type of
machine learning consisting of artificial neural networks with
multiple abstraction layers. Currently primarily used in pattern
recognition and classification applications supported by very
large data sets. Sample vendors: Deep Instinct, Ersatz Labs,
Fluid AI, MathWorks, Peltarion, Saffron Technology, Sentient
Technologies.
8.Biometrics: Enable more natural interactions between
humans and machines, including but not limited to image and
touch recognition, speech, and body language. Currently used
primarily in market research. Sample vendors: 3VR, Affectiva,
Agnitio, FaceFirst, Sensory, Synqera, Tahzoo.
9.Robotic Process Automation: Using scripts and
other methods to automate human action to support efficient
business processes. Currently used where it’s too expensive or
inefficient for humans to execute a task or a process. Sample
vendors: Advanced Systems Concepts, Automation
Anywhere, Blue Prism, UiPath, WorkFusion.
10.Text Analytics and NLP: Natural language
processing (NLP) uses and supports text analytics by facilitating
the understanding of sentence structure and meaning, sentiment,
and intent through statistical and machine learning methods.
Currently used in fraud detection and security, a wide range of
automated assistants, and applications for mining unstructured
data. Sample vendors: Basis Technology, Coveo, Expert
System, Indico, Knime, Lexalytics, Linguamatics,
Mindbreeze, Sinequa, Stratifyd, Synapsify
5.AI-optimized Hardware: Graphics processing units (GPU)
and appliances specifically designed and architected to efficiently run
AI-oriented computational jobs. Currently primarily making a difference
in deep learning applications. Sample vendors: Alluviate, Cray,
Google, IBM, Intel, Nvidia.
Emerging Technologies (Forrester)

9. Where is the value potential of AI?
The market intelligence firm forecasts that annual worldwide AI revenue will
grow from $643.7 million in 2016 to $36.8 billion by 2025*
*https://www.tractica.com/newsroom/press-releases/artificial-intelligence-revenue-to-reach-36-8-billion-worldwide-by-2025/
Global AI Market size (Tractica)

10. Where is the value potential of AI?
http://www.journaldunet.com/solutions/reseau-social-d-entreprise/1191979-machine-learning-12-
secteurs/?een=546d187b97e3f1a089cf71afc6f04e97&utm_source=greenarrow&utm_medium=mail&utm_campaign=ml50_designerliote
5 Industries Being Most Affected By Artificial Intelligence
Healthcare (Cancer Diagnostic), Finance (transaction fraud), Transport (self driving vehicle) ,
Manufacturing (Maintenance/security), Customer Service (customer interaction)
AI impact on (all) industries

11. Major Acquisitions in AI
Forrester predicted a greater than 300% increase in investment
in artificial intelligence in 2017 compared with 2016
CEO Sundar Pichai said that 20 % of
queries in the Google mobile app on Android
devices are voice searches (May 2016)
AI & GAFAM
Cisco acquires conversational
AI startup MindMeld for $125
million (June 2017)
Apple acquires artificial
intelligence firm Lattice Data for
$200 million (May 2017)

12. AI business cases
AI impact on industries : Finance
Bank of America
Bank of America is working with Facebook to build
a Messenger chatbot that will "help clients stay
connected to their finances whenever and
wherever they choose
(source : American Banker)
Mastercard
MasterCard implements AI tool to address fraud
detection “this program "uses artificial intelligence
technology to help financial institutions increase
the accuracy of real-time approvals of genuine
transactions and reduce false declines”
–
“The service leverages machine learning so that
each transaction is assigned a score, which is
then used to help judge future payments”.
(Source : business insider )
BlackRock Solution
BlackRock, le premier gestionnaire d’actifs
(fonds de 15 trillions de $) au monde, va
basculer une partie de ses investissements,
jusque-là gérés par des analystes humains,
vers une gestion par les algorithmes
d’Aladdin
 Passage d’une gestion active (décidée
par des hommes) à une gestion passive
(Source : Le monde)
Le robot d’IBM va assister 20 000 chargés de clientèle dans 5 000 agences de la banque mutualiste.
Nicolas Théry, le président de la banque, affirme qu’il ne s’agit pas de faire des économies sur les
effectifs, mais d’augmenter les revenus du groupe (Source : le Monde)
Avec IBM Watson, les conseillers du Crédit Mutuel trouvent 60% plus rapidement les bonnes réponses
(JDN)
Le nasdaq est aussi en plein tests de
systèmes IA pour détecter d’éventuelles
fraudes de courtiers.
Le Crédit Mutuel et Orange Bank
testent l'intelligence artificielle de
Big Blue (IBMà ; Objectif des deux
établissements bancaires :
améliorer l'expérience client et
créer de la valeur ajoutée
+ Royal Bank of Scotland, DBS Bank, etc

13. AI impact on industries : Finance
The 2017 Global FinTech survey was based on the responses of 1,308 participants, principally
chief executive officers (CEOs) Source : https://www.pwc.com/jg/en/publications/pwc-
global-fintech-report-17.3.17-final.pdf
Worldwide
FinTech survey
(PWC)
Currently, Financial Institutions are
concentrating on updating their legacy
systems with a strong focus on data analytics,
mobile technology and AI (biometric security,
natural language searches, and chatbots)
AI business cases
SoftBank's tech fund becomes
world's biggest with $93 billion
to invest (April 17)
The billions invested will be directed
towards the tech industry, ranging from
companies in artificial intelligence to
robotics and cloud technology
Apple invests $1 billion in SoftBank’s Vision Fund
Softbank Buys Robotics Company Boston
Dynamics From Google

14. AI impact on industries : Retail
Starbucks
Starbucks is building a virtual
assistant (similar to Apple’s
Siri) that will enable
consumers to place voice
orders by talking to a “virtual
barista” within the mobile app
(iphone & Amazon Alexa)
https://www.digitaltrends.com
/mobile/starbucks-my-
barista-app/
Retail store
A camera that scans the room and a monitor
displaying the captured images.
monitor can track the faces that pass by and
analyze them, estimating features like gender,
age and emotions.
Retail stores can track how customers react
to their products or advertisements in real time
Mc Donald's
Fast food giant McDonald’s is
using cognitive technology
(Microsoft Cortana) to convert
drive-through orders to text
that can be fed directly into
the outlet’s point-of-sale
system
By 2020, 85% of customer interactions in retail will be managed
by artificial intelligence, according to Gartner
AI business cases

15. AI impact on industries : Transport
Ford is investing $1 billion
during the next five years in
Argo AI (self-driving
vehicles), combining Ford’s
Nissan and BMW bring
Microsoft's Cortana assistant to
cars (+ Volvo, Renault, for Azure
cloud services)
AI business cases
Nvidia and Mercedes-Benz
to bring an AI car to market
within a year (techcrunch)
BMW signs on to develop
in-car AI with IBM’s
Watson (Forbes)
Volvo and Uber join forces
to develop autonomous
driving cars
Toyota Invests in Artificial Intelligence for Cheaper
Batteries, Electric Cars and Fuel Cells ($35 M) - Toyota
invests $1 billion in artificial intelligence in US (2015)
Volkswagen
Invests $180
Million in a Chinese
AI Startup (Mobvoi)
Tim Cook says Apple is working on
self-driving tech (CNN, June17)
Deliveroo is using
machine learning to
power food delivery
(Frank Algorithm)

16. AI impact on industries : Enterprise Software (Large company)
Salesforce
Salesforce has introduces “Salesforce Einstein” –
which integrates advanced AI capabilities into its core
Platform services, making its CRM much smarter
Microsoft
Microsoft Dynamics 365 brings AI to business
(R&D team : 5000 engineers)
SAP adds AI and integrated
analytics in latest cloud
release (2017)
IBM Watson can understand all forms of
data, interact naturally with people, and
learn and reason, at scale
AI business cases
Workfit is the creator of Eva, an
Enterprise Voice Assistant

17. AI impact on others industries
 Healthcare (document analysis, reconnaissance des tumeurs cancéreuses)
Diabetic retinopathy - Google's deep learning
A team of Google researchers has published a paper in the Journal of the American Medical
Association showing that Google's deep learning algorithm, trained on a large data set of fundus
images, can detect diabetic retinopathy with better than 90 percent accuracy
http://www.mobihealthnews.com/content/google-researchers-use-deep-learning-detect-diabetic-retinopathy-upwards-90-percent-accuracy
AI & Cognitive Computing Systems in Healthcare, finds the market earned
revenues of $633.8 million in 2014 and estimates $6,6 billion in 2021 (Frost)
AI business cases
 The future of our hospitals
 Robot Pepper (Softbank)
New recruit "Pepper" the
robot holds the hand of a new
born baby next to his mother
at AZ Damiaan hospital in
Ostend & CHR Citadelle in
Liege

18. AI impact on others industries
 “AI” Cinema : Automatic trailer based on the film
AI business cases
Century Fox & IBM Watson Creates
“Morgan” (First Movie Trailer by AI)
Sunspring : A Sci-Fi Short written
entirely by AI (2016)
 Security (public & cyber security)

19. AI in Brussels
Les travailleurs d’Audi Brussels peuvent interagir avec le robot « Walt »/Cobot (robot
collaboratif (source : trends)
Le directeur général d’Audi Brussels, Patrick Danau, également présent au symposium de
lancement, a indiqué de son côté que 536 robots aidaient les ouvriers de l’usine de Forest
dans leur travail (2016)
http://fr.metrotime.be/2016/04/27/news/la-vub-lance-brubotics-un-centre-de-recherche-sur-la-robotique/ robot colaboratif
Sopra Steria programme des robots et
teste intensivement IBM Watson et
d'autres formes d'intelligence artificielle
 Labo : 7 collaborateurs spécialisés
dans 4 domaines: intelligence artificielle,
robotique, big data et sécurité
Le groupe IPM avec ses marques La
Libre, La DH et Paris Match lance
ses chatbots
Après avoir lancé avec succès son
système d’informations via WhatsApp,
IPM est le 1er groupe média
francophone belge à proposer leurs
chatbots, des agents conversationnels
via Facebook Messenger
Cross platform chatbot
based guest assistant
which helps hotels and
short term rentals provide
better travel experience to
their guests

20. AI in Brussels
Car Infotainment Gesture Control -
DepthSense CARlib for Automotive
BRUce Pepper
Brussels Airport va utiliser le robot Pepper

21. AI (& BI) Ecosystem
AI
Marketing
IT
Energy
Finance/Insurance/Legal
E-Health Transport/Mobility
By sectors (Brussels)
University, Research
Organisation, R&D Subsidy
Tourism

22. Networking/expertise
Academic (Brussels)
 Hugues Bersini : AI Expert – ULB – Iridia – AI research lab http://iridia.ulb.ac.be/bersini/
 Pr Tom Lenaerts, AI Expert (machine learning) - ULB/VUB - Board member of the Benelux Association
for AI
 http://www.ulb.ac.be/di/map/tlenaert/Home_Tom_Lenaerts/About_Me.html
 Luc Steels : AI Expert – VUB – Iridia – AI research lab https://ai.vub.ac.be/members/steels
 Brussels Human Robotic Research Center (VUB) https://www.brubotics.eu/
Community/Events (Brussels/Belgium)
 Benelux Association for AI http://ii.tudelft.nl/bnvki/
 Belgian AI Researchers portal http://bair.be/
 Agoria : AI event (https://www.agoria.be/)
 https://www.meetup.com/fr-FR/Artificial-Intelligence-Brussels/
 The Data Science Community (Philippe Van Impe) https://datasciencebe.com
AI initiative/association (Worldwide)
 EU : European Association for Artificial Intelligence https://www.eurai.org/
 France IA : https://www.economie.gouv.fr/France-IA-intelligence-artificielle#FranceIA
 US : Google, Amazon, Facebook, IBM & Microsoft : « Partnership on artificial intelligence to benefit
people and society »
 US : Association for the Advancement of Artificial Intelligence http://www.aaai.org/

23. AI challenges
According to a survey Forrester conducted last year, there are
also obstacles to AI adoption as expressed by companies with
no plans of investing in AI :
Once enterprises overcome
these obstacles, Forrester
concludes, they stand to
gain from AI driving
accelerated
transformation in
customer-facing applications
and developing an
interconnected web of
enterprise intelligence
https://www.forbes.com/sites/gilpress/2017/01/23/top-10-hot-artificial-intelligence-ai-technologies/#7f5eb7a41928

24. AI challenges
 AI regulation (US/Europe)
 Barack Obama (2016): the White House is releasing a report on future directions and
considerations for AI called “Preparing for the Future of Artificial Intelligence”
 Elon Musk compares building Artificial Intelligence to “Summoning The Demon” :
 It the most serious threat to the survival of the human race
 Co-founder (with Sam Altman) of “Open AI” : non-profit AI research company (2015)
 The organization aims to "freely collaborate" with other institutions and researchers by making its
patents and research open to the public
 The company is supported by over US$1 billion in commitments
 The founders are motivated in part by concerns about existential risk from artificial general intelligence
 Stephen Hawking (English theoretical physicist, cosmologist) says artificial intelligence
could be humanity's greatest disaster ”The rise of powerful AI will be either the best or the
worst thing ever to happen to humanity. We do not know which”
 The EU must adopt policies for the development, deployment and use of
AI in Europe (European Economic and Social Committee)
 Mady Delvaux (Member of the European Parliament)
proposes rules for robots and AI in Europe (interview 2017)

25. AI challenges
 AI regulation (Belgium)
 Afin de placer la Belgique à la pointe de ces technologies, le ministre (Belot) en appelle,
auprès de l'ONU et de la Commission européenne, à la constitution d'un cadre souple et
ambitieux soutenant l'industrie des voitures autonomes. "Les Nations Unies, via la
Convention de Vienne, doivent permettre l'usage et le déploiement des véhicules de niveau
le plus élevé d'autonomie dès 2020. C'est pour cette raison que la Belgique a déposé un
projet d'amendement à l'article 8 de la Convention de Vienne visant à autoriser des
voitures sans conducteur", souligne-t-il.
Elon Musk avait qualifié l'AI de plus grande menace pour l'humanité. "Nous sommes occupés
à alimenter un diable. Je pense toujours plus souvent que nous avons besoin d'une sorte
d'organisme qui conserve une vue d'ensemble de la technologie, d'un régulateur qui se charge
de surveiller pour que nous ne fassions pas un jour quelque chose de complètement
insensé. Cela peut se faire à un niveau national ou international", avait affirmé l'entrepreneur à
l'époque.

26. AI challenges
Source : MCKINSEY GLOBAL INSTITUTE - FUTURE THAT WORKS:
AUTOMATION, EMPLOYMENT, AND PRODUCTIVITY JANUARY 2017
Technical potential for automation across sectors varies
depending on mix of activity types (McKinsey)
 Jobs (automation)
Robotics/AI (4th industrial revolution)
 About 7 million jobs will be lost and 2 million
gained as a result of technological change in
15 major developed and emerging economies
(by 2020)
(World Economic Forum 2016 - The future of Jobs)
The report of the University of Oxford/Citibank predicted that
47% of US jobs are at risk of automation (February 2016)

27. AI challenges : The 'singularity' concept
 Robots may go out of control
SoftBank CEO Masayoshi Son (keynote said « Super
intelligence is going to become a reality, his belief is that
computers will exceed humans in intelligence in 3
decades (2040)”

28. AI…
 AI technology is changing everything from marketing to transport, finance, healthcare, IT, etc
 With the evolution of the IT infrastructure (Decreasing costs of computing power), availability of
data (too much data, not enough information), new algorithm & technology approach (Open
source library for machine learning: Google TensorFlow, Python), API/interoperability (IBM
Bluemix/Watson, Salesforce Einstein, Microsoft 365), ecosystem/networking (AI community) &
training (MooC)…
 AI becomes more and more a real opportunity for enterprise (SME & Large company)
 The market is huge & growing GAFAM invest heavily and increasingly in AI
 AI will impact jobs :
 with a negative balance : 5 million jobs (-7/+2M) to be lost by 2020 in every industry
(assistant, taxi driver, accountant, translator, dermatologist, community manager, etc)
 Jobs will change (more cooperation with robot)
 Not (yet) regulation on AI in Europe/Belgium (self-driving vehicles, robots, etc)