DigiWorld Future Paris-Bernard Ourghanlian-CTO & CS0- Microsoft

•Descargar como PPTX, PDF•

2 recomendaciones•641 vistas

The document discusses the rise of deep learning and artificial intelligence. It notes that AI will have a more powerful impact than previous technological waves. The goal of Microsoft's approach to AI is to democratize it and make it accessible to everyone, both individuals and organizations. AI can help humans make better sense of the vast amount of information in the world by using computational power to solve the constraint of human information absorption. The focus is on helping everyone achieve more through humans and machines working together with AI.

Empresariales

Le temps du Deep Learning…
Bernard OURGHANLIAN
Directeur Technique et Sécurité
Microsoft France

La vague de
l’Intelligence sera bien
plus puissante que les
vagues précédentes…

Turing, A.M. (1950). Computing machinery and intelligence. Mind, 59, 433-460.

Labrador
RESEAUX DE NEURONES ARTIFICIELS
Licence CC Rob Fraser Microsoft

Démocratiser l’IA
Pour chaque individu et chaque
organisation
“At Microsoft, we have an approach that’s both ambitious
and broad, an approach that seeks to democratize Artificial
Intelligence (AI), to take it from the ivory towers and make
it accessible for all.”
“In the midst of this abundance of information, we’re still
constrained by our human capacity to absorb it.
The question is, how can we use all we have in terms of
computational power to solve this fundamental constraint?
To make better sense of the world? That’s the essence of
what AI is. It’s not about having AI that beats humans in
games, it’s about helping everyone achieve more —
humans and machines working together to make the world
a better place.”
Microsoft News

BOTS : LES NOUVELLES APPS
Licence Standard AdobeStock

SERVICES COGNITIFS
AdobeStock Standard License

INTELLIGENCE AMBIENTE
Licence Standard AdobeStock

EXCELLENCE ET SYMBIOSE
AdobeStock Standard License

ETHIQUE ET RESPONSABILITE
Licence Image Microsoft

Más contenido relacionado

Destacado

The State of Broadband: Broadband catalyzing sustainable development. Septemb...

Andrés Rodríguez Seijo

Improving Forecast Accuracy

Onur Sezgin

Broadband 101 Feasibility Studies

Ann Treacy

Norbert Kraft, Referent Research & Technology, Nokia Siemens Networks Durch die weltweite Verfügbarkeit, Abdeckung und Nutzung sind Mobile Telekommunikationsnetze heute ein typisches Anwendungsgebiet für 'Big Data' und insbesondere für komplexe Datenanalyseverfahren. Norbert Kraft beschreibt in dieser Session Einsatzszenarien dieser Technologien in der Telekommunikationsindustrie anhand konkreter Beispiele, die im Rahmen eines Forschungsprojektes des Zentralbereiches 'Technologie und Innovation' von Nokia entstanden sind. In einen Entwicklungsprototypen wurden hier Möglichkeiten der Netzausfallvorhersage sowie der Ursachenanalyse für solche Ereignisse untersucht und entwickelt. Hierbei kommen unterschiedliche Data Mining und Machine Learning Verfahren zum Einsatz, z.B. (Un-)supervised Learning, Clustering Verfahren für die Klassifizierung von Kundenprofilen oder Radiozellen sowie eine Zeitreihenanalyse zur Vorhersage von Netzausfällen. Eine wichtige Rolle neben der Erkennung von Fehlerszenarien ist hierbei immer die Ermittlung einer möglichen Fehlerursache, wobei der erkannte Netzfehler mit einer Vielzahl möglicher Einflussgrößen (z.B. SW Konfiguration, Lastprofil) korreliert wird.

Predictive Analytics in Telecommunication

Rising Media Ltd.

Fixing The Sales Forecast

SmartFunnel

This advanced session focuses on deep-dive understanding of the often overlooked Radio Frequency part of designing and deploying a Wireless LAN Network. It discusses 802.11 radio MIMO APs and antennas placements when to use a DAS system antenna patterns. It covers the main environments such as carpeted offices campuses and conference centers, providing feedback based on lessons learned from challenging deployments such as outdoor/stadium/rail deployments and manufacturing areas. Learn More: http://www.cisco.com/go/wireless

Understanding RF Fundamentals and the Radio Design of Wireless Networks

Cisco Mobility

45 min talk about collecting home network performance measures, analyzing and forecasting time series data, and building anomaly detection system. In this talk, we will go through the whole process of data mining and knowledge discovery. Firstly we write a script to run speed test periodically and log the metric. Then we parse the log data and convert them into a time series and visualize the data for a certain period. Next we conduct some data analysis; finding trends, forecasting, and detecting anomalous data. There will be several statistic or deep learning techniques used for the analysis; ARIMA (Autoregressive Integrated Moving Average), LSTM (Long Short Term Memory).

EuroPython 2017 - PyData - Deep Learning your Broadband Network @ HOME

HONGJOO LEE

Destacado (7)

The State of Broadband: Broadband catalyzing sustainable development. Septemb...

Improving Forecast Accuracy

Broadband 101 Feasibility Studies

Predictive Analytics in Telecommunication

Fixing The Sales Forecast

Understanding RF Fundamentals and the Radio Design of Wireless Networks

EuroPython 2017 - PyData - Deep Learning your Broadband Network @ HOME

Similar a DigiWorld Future Paris-Bernard Ourghanlian-CTO & CS0- Microsoft

We are approaching a future in which artificial intelligence dominates our world. Jobs are being automated, and intelligent machines are changing the roles of humans in the workforce. How will AI, VR, and data change the way we work? What does a workforce with augmented humans look like? These are the questions we must ask as we evolve our workplaces with emerging tech. In this talk we'll turn up the dial on today's emerging technologies and envision the impact they'll have on the workplaces of tomorrow.

The 2030 Workplace - Evolving Your Organization with Emerging Tech

Sage Franch

When AI becomes a data-driven machine, and digital is everywhere!

Thammasat University, Musashino University

Creativity: the human tool in the age of intelligent machines

Roberto Siagri

Machine learning seminar presentation

sweety seth

https://telecombcn-dl.github.io/2017-dlai/ Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.

Why Supercomputing matters to Deep Learning (DLAI D3L2 2017 UPC Deep Learning...

Universitat Politècnica de Catalunya

Technologies Demystified: Artificial Intelligence

Pioneers.io

A.I.PPT

RESHAN FARAZ

a-180802151015.pdf

ThavasiStark1

Summary is made in 5 parts- This is Part -1 Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. • The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. • Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. • It is used in areas ranging from banking and finance to social media and marketing. • This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. • This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. • This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. • Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations o Expand your knowledge of recent AI advancements in technology o Gain insight on the future of AI and its increasing role in business and industry o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce

Artificial intelligence in practice- part-1

GMR Group

Tinay Artificial Intelligence

Cristina Faalam

Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups. Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates. Using the following deck, we sought to: - define artificial intelligence and describe its applications in business - decode buzzwords such as “deep learning” and “cognitive computing” - highlight analytical techniques and best practices used in AI / ML - ultimately, educate future AI leaders The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit. With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence. I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!

Principles of Artificial Intelligence & Machine Learning

Jerry Lu

Emerging Technologies 3.0

Naveed Ahmed Siddiqui

Work learning living in future Gerd Leonhard Futurist Speaker at LSG13 London

Gerd Leonhard

AI_DGV.pptx

MANIGANDANKRISHNAN1

IBM Watson & Cognitive Computing - Tech In Asia 2016

Nugroho Gito

Artificial Intelligence

Abbas Hashmi

Emerging Technologies such as artificial intelligence (AI), machine learning (ML), augmented reality (AR), the Internet of Things (IoT) and quantum computing can help organizations scale on demand, improve resiliency, minimize infrastructure investments and deploy solutions rapidly and securely. 1. Artificial Intelligence & Machine Learning (AI & Robotics) 2. Data Science, Datafication 3. Block Chain (Crypto, Metaverse, AR,VR, Web 3.0, NFT) 4. Cyber Security 5. DevOps (Cloud Computing, Trello, Project Management) 6. 3D Printing Technology, Genomics 7. 5G and IoT (the Internet of Things) 8. Quantum Computing 9. Digital Marketing 10. E Commerce (Amazon, Alibaba, Shopify)

Emerging Technologies 3.0.pdf

Dr. Naveed Siddiqui

Emerging Technologies 33.0.pdf

Naveed Ahmed Siddiqui

Introduction to Knowledge Graphs

mukuljoshi

Superintelligence: How afraid should we be? Presentation by David Wood at the Computational Intelligence Unconference UK, 26th July 2014. Reviews ideas in three recent books: Superintelligence, by Nick Bostrom; Our Final Invention, by James Barrat; and Intelligence Unbound, edited by Russell Blackford and Damien Broderick. Please contact the author to invite him to present animated and/or extended versions of these slides in front of an audience of your choosing. (Commercial rates will apply for commercial settings.)

Superintelligence: how afraid should we be?

David Wood

Similar a DigiWorld Future Paris-Bernard Ourghanlian-CTO & CS0- Microsoft (20)

The 2030 Workplace - Evolving Your Organization with Emerging Tech

When AI becomes a data-driven machine, and digital is everywhere!

Creativity: the human tool in the age of intelligent machines

Machine learning seminar presentation

Why Supercomputing matters to Deep Learning (DLAI D3L2 2017 UPC Deep Learning...

Technologies Demystified: Artificial Intelligence

A.I.PPT

a-180802151015.pdf

Artificial intelligence in practice- part-1

Tinay Artificial Intelligence

Principles of Artificial Intelligence & Machine Learning

Emerging Technologies 3.0

Work learning living in future Gerd Leonhard Futurist Speaker at LSG13 London

AI_DGV.pptx

IBM Watson & Cognitive Computing - Tech In Asia 2016

Artificial Intelligence

Emerging Technologies 3.0.pdf

Emerging Technologies 33.0.pdf

Introduction to Knowledge Graphs

Superintelligence: how afraid should we be?

Más de IDATE DigiWorld

DWS19 Seminaire Healthcare William Rolland SNITEM

IDATE DigiWorld

DWS19 Séminaire Healthcare William Rolland SNITEM

IDATE DigiWorld

DWS19 Séminaire Healthcare Pascale Sauvage ASIP

IDATE DigiWorld

DWSPR19 Séminaire E-Santé 180419 - Alexandra MESNER - WiStim

IDATE DigiWorld

DWSPR19 Séminaire E-Santé 180419 - Innovation Stories - Jean-François GAUDY -...

IDATE DigiWorld

DWSPR19 170419 Séminaire Maison connectee - Les enjeux du foyer - Malo DEPINC...

IDATE DigiWorld

- Telco market opportunities and new value creation - 5G is a giant leap powered by a set of new technologies - 5G is a giant leap - mandatory to make the 4th industrial revolution happen - 5G market traction - the market is accelerating - Nokia Bell Labs' Future X Vision set the direction for 3GPP's 5G architecture - Nokia 5G commercial references in key markets - Nokia speed of innovation with the wider 5G ecosystem -

DWSPR19 Sessions plenieres 17042019 - 5G - Thierry BOISNON - Nokia

IDATE DigiWorld

DWSPR19 Sessions plenieres 17042019 - Arrivee de la 5G : Much ado about nothi...

IDATE DigiWorld

DWSPR19 Sessions plenieres 17042019 - IA : quelle posture ethique et technolo...

IDATE DigiWorld

DWSPR19 Sessions plenieres 17042019 - Enjeux anthropologiques et strategique...

IDATE DigiWorld

DWSPR19 18042019 - Smart Ageing - Pauline MORNET - IDATE DigiWorld

IDATE DigiWorld

DWSPR19 18042019 Philippe BAUDOUIN et Anne CAUSSE - Cohésion territoriale et ...

IDATE DigiWorld

DWSPR19 18042019 Cohesion territoriale et digital - Pierre-Michel ATTALI - ID...

IDATE DigiWorld

IDATE DigiWorld - Autonomous Cars Antoine Klifa

IDATE DigiWorld

Key points • From mobile voice to mobile everywhere7 1. LTE global success • LTE subscriptionsdistribution (Q4 2017 –Q4 2021)9 • Breakdown of mobile customers by country and technology, end-20169 • China Mobile LTE capexand LTE coverage10 • Outdoor LTE coverage10 • ≥ 500 Mbps LTE-Advanced networks launched11 • MNOs ranking by subscriber numbers, end-June 201712 • Subscriber numbers in leading countries12 • 5G usage scenarios13 • 5G Performance Objectives14 2. 5G • 5G timeline16 • 5G subscribers by region in 202517 • 5G subscribers forecasts17 • 5G widespread technology enablers18 • Three scenarions for 5G monetisation, MNO’s view19 3. More spectrum for LTE upgrades and 5G • IMT bands, below 6 GHz22 • IMT bands, above 6 GHz23 • Potential5G bands worldwidein the 20-45 GHz range24 • Price of premium licences/spectrum per MHz per pop., for 10 years25 • Price of 700 MHz licences/spectrum per MHz per pop., for 10 years25

IDATE DigiWorld - From LTE to 5G keypoints

IDATE DigiWorld

DWS17 - Plenary session: Big strategic Bets - Andres LINDLAD - Accenture

IDATE DigiWorld

DWS17 - Plenary Session : Technological Bets - Vincent BONNEAU - IDATE Digiworld

IDATE DigiWorld

DWS17 - Keynote - Sebastien SORIANO - Arcep

IDATE DigiWorld

DWS17 - Smart Mobility seminar - Samuel ROPERT - IDATE Digiworld

IDATE DigiWorld

DWS17 - Investment and digital infrastructure seminar - Roland MONTAGNE - ID...

IDATE DigiWorld

Más de IDATE DigiWorld (20)