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Artificial Intelligence overview (by impulse)

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

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Artificial Intelligence
Concept, Markets, Opportunity & Community
2017
 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
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
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
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)
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

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Artificial Intelligence overview (by impulse)

  • 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)