Programme 2020

Hear from the biggest names in AI

Get ready for two-days of mind-boggling innovation, heated discussions on AI and ethics and AI4good, applied solutions for enterprise and hands-on workshops.

As always, in conjunction with Ada-AI, we’ve placed a BIG focus on #AI4Good to make sure that wonderfully capable technological methods like deep learning and machine learning are developed in a way that makes the world a better place.

Don’t forget to subscribe to the World Summit AI newsletter below to receive all the latest event updates directly in your inbox!

Day 1 Day 2

REGISTRATION OPENS 7.30

REGISTRATION OPENS 7.30

07:30 07:4508:0008:1508:3008:4509:0009:1509:3009:4510:0010:1510:3010:4511:0011:1511:3011:4512:0012:1512:3012:4513:0013:1513:3013:4514:0014:1514:3014:4515:0015:1515:3015:4516:0016:1516:3016:4517:0017:1517:3017:4518:0018:1518:30
CLOSE OF SUMMIT DAY ONE 18:20

CLOSE OF SUMMIT DAY ONE

When: 18:20 - 18:30
LUNCH & NETWORKING: Hear two fascinating Startup Stories on the main stage 12:30

LUNCH & NETWORKING: Hear two fascinating Startup Stories on the main stage

When: 12:30 - 13:45
REFRESHMENTS & NETWORKING 11:00

REFRESHMENTS & NETWORKING

When: 11:00 - 11:30
REFRESHMENTS & NETWORKING 15:25

REFRESHMENTS & NETWORKING

When: 15:25 - 15:55
REGISTRATION 07:30

REGISTRATION

When: 07:30 - 09:00
WELCOME09:00
SARAH PORTER | ISABELLA GRANDIC

SARAH PORTER
Founder & CEO
InspiredMinds

|

ISABELLA GRANDIC
Program Success Manager and Activator
The Knowledge Society

SARAH PORTER

SARAH PORTER
Founder & CEO
InspiredMinds

ISABELLA GRANDIC

ISABELLA GRANDIC
Program Success Manager and Activator
The Knowledge Society

WELCOME

Where: Main Stage
When: 09:00 - 09:20
WELCOME: Sarah Porter, CEO and Founder, InspiredMinds  WELCOME: Isabella Grandic, Program Success Manager and Activator, The Knowledge Society WELCOME and chairperson’s opening remarks:
HEADLINER: Using robotics to better understand the natural world09:45
GREGORY DUDEK

GREGORY DUDEK
Professor, School of Computer Science, James McGill Chair, McGill University;
VP Research & Lead Samsung AI Center Montreal

GREGORY DUDEK

GREGORY DUDEK
Professor, School of Computer Science, James McGill Chair, McGill University;
VP Research & Lead Samsung AI Center Montreal

HEADLINER: Using robotics to better understand the natural world

Where: Main Stage
When: 09:45 - 10:10
This talk addresses the development of robotic systems that can collect data in the natural world, either on land or underwater.  While the last decade has seen immense progress in the development and deployment of self-driving vehicles, moving around in the natural world without a map and outside of cities remains much more challenging.  Most of the world remains undeveloped, and understanding and describing the environment is a huge challenge which is critical for many reasons. Navigation in dynamic unstructured environments is still an area where there is limited consensus over the correct kinds of approach, partly due to the diversity of environments, as well as need to learn`on the fly’. In this talk, Greg will discuss the key challenges, and present solutions that allow autonomous vehicles to drive in the forest and underwater using vision-guided machine learning. In this body of work, a key theme is the synthesis of model-based methods that can exploit powerful prior knowledge, and model-free methods that can adapt to the variations in an unconstrained world. 
HEADLINER: Learning to edit software with relational deep learning10:35
DANNY TARLOW

Research Scientist, Google Brain
Adjunct Professor in Computer Science,
McGill University
Associate Member, Mila Quebec AI Institute

 

DANNY TARLOW

Research Scientist, Google Brain
Adjunct Professor in Computer Science,
McGill University
Associate Member, Mila Quebec AI Institute

 

HEADLINER: Learning to edit software with relational deep learning

Where: Main Stage
When: 10:35 - 11:00
We are collecting incredible amounts of data from professional software developers doing their jobs. Can we leverage this data to make developing software easier? Recent advances in deep learning - particularly around "relational deep learning" methods that can process irregular, graph-structured data - are giving us a powerful new toolbox to tackle the hard problems in this space. Danny will describe how we're leveraging these tools to build systems that learn to edit professional developer code in order to resolve small programming errors. He’ll also discuss broader outlooks for where this research area is going and point out some really hard problems in this space for which we don't currently have good answers.
HEADLINER: How to Know09:20
CELESTE KIDD

CELESTE KIDD
Assistant Professor of Psychology
UC Berkeley

CELESTE KIDD

CELESTE KIDD
Assistant Professor of Psychology
UC Berkeley

HEADLINER: How to Know

Where: Main Stage
When: 09:20 - 09:45
This talk will discuss research about the core cognitive systems people use to guide their learning about the world—including attention, curiosity, and metacognition (thinking about thinking). It will also discuss why people sometimes hold beliefs that are inconsistent with evidence available in the world, and how we might leverage our knowledge of human curiosity and learning to design systems that better support access to truth and reality.
HEADLINER (remotely): Towards understanding why deep learning works11:30
SAMY BENGIO

SAMY BENGIO
Distinguished Research Scientist
Google Research, Brain Team

SAMY BENGIO

SAMY BENGIO
Distinguished Research Scientist
Google Research, Brain Team

HEADLINER (remotely): Towards understanding why deep learning works

Where: Main Stage
When: 11:30 - 11:55
Deep learning has shown incredible successes in the past few years, but there is still a lot of work remaining in order to understand why such over-parameterized models still generalize so well. In this presentation, Samy will cover recent work showing empirically interesting relations between learned internal representations and generalization.
PANEL DISCUSSION: Overcoming challenges and turning AI aspirations into outcomes10:10
STEVE ASTORINO

STEVE ASTORINO
VP of Development, Data and AI, Hybrid Data Management and Canada Lab
IBM

STEVE ASTORINO

STEVE ASTORINO
VP of Development, Data and AI, Hybrid Data Management and Canada Lab
IBM

PANEL DISCUSSION: Overcoming challenges and turning AI aspirations into outcomes

Where: Main Stage
When: 10:10 - 10:35
A recent 2019 Forrester study has found that 51% of enterprises currently experimenting with AI technologies are struggling with challenges having to do with the operationalizing, sustaining and scaling AI. As business leaders and their teams of data scientists are trying to prepare their data for an AI and multi-cloud world and unlock the business value hidden in their data, they are looking to hear from others who are currently exploring and working with AI technologies. Join speaker, Steven Astorino, VP of Development, Data and AI and Canada Lab Director, IBM and his panel of invited guests as they share the steps they have taken to collect, organize, analyze, infuse AI, and modernize their data, as well as the challenges they have faced in their AI Journeys. By learning from each other, we allow AI to thrive within all our enterprises.
PANEL DISCUSSION: Governing AI: putting principles into practice11:55
YANNICK MENECEUR | JANA NOVOHRADSKA | MINA J HANNA

YANNICK MENECEUR
Policy Advisor on Digital Transformation and Artificial Intelligence
The Council of Europe

|

JANA NOVOHRADSKA
AI Consultant to Deputy Prime Minister’s Office of Slovakia;
Gender Equality Rapporteur CAHAI Council of Europe

|
MODERATOR

MINA J HANNA
Co-Chair, IEEE-SA Global Initiative on Ethics of AI Systems’ Policy Cmte;
Chair IEEE-USA AI & AS Policy Cmte

YANNICK MENECEUR

YANNICK MENECEUR
Policy Advisor on Digital Transformation and Artificial Intelligence
The Council of Europe

JANA NOVOHRADSKA

JANA NOVOHRADSKA
AI Consultant to Deputy Prime Minister’s Office of Slovakia;
Gender Equality Rapporteur CAHAI Council of Europe

MINA J HANNA
MODERATOR

MINA J HANNA
Co-Chair, IEEE-SA Global Initiative on Ethics of AI Systems’ Policy Cmte;
Chair IEEE-USA AI & AS Policy Cmte

PANEL DISCUSSION: Governing AI: putting principles into practice

Where: Main Stage
When: 11:55 - 12:30
STREAM 1: USE CASES 13:35

STREAM 1: USE CASES

When: 13:35 - 13:45
Examining practical cases of AI in action in enterprise and how it has transformed the business
Keynote Enterprise Story 1: Leveraging machine learning to help customers become more financially empowered13:45
DAVE CASTILLO

DAVE CASTILLO
Managing Vice-President of Machine Learning
Capital One

DAVE CASTILLO

DAVE CASTILLO
Managing Vice-President of Machine Learning
Capital One

Keynote Enterprise Story 1: Leveraging machine learning to help customers become more financially empowered

Where: Main Stage
When: 13:45 - 14:05
Enterprise Story 2: Applied AI across the Energy Industry14:05
DEVAL PANDYA

DEVAL PANDYA
Lead Data Scientist – Digital Accelerators
Shell

DEVAL PANDYA

DEVAL PANDYA
Lead Data Scientist – Digital Accelerators
Shell

Enterprise Story 2: Applied AI across the Energy Industry

Where: Main Stage
When: 14:05 - 14:25
Enterprise Story 3: 14:25

Enterprise Story 3:

Where: Main Stage
When: 14:25 - 14:45
Enterprise Story 4: How Comcast uses AI and ML for network insights and an improved customer experience14:45
DAN BAKER

DAN BAKER
Executive Director, Customer Experience Product Management
Comcast Cable

DAN BAKER

DAN BAKER
Executive Director, Customer Experience Product Management
Comcast Cable

Enterprise Story 4: How Comcast uses AI and ML for network insights and an improved customer experience

Where: Main Stage
When: 14:45 - 15:05
Comcast has been on a multi-year journey to transform the customer experience. We know customers’ expectations are evolving; they don’t want to have to reach out to us for a question or issue and they want to interact digitally. In eight weeks, a Comcast team built and developed the aiQ platform, an omnichannel adaptable, ubiquitous platform that powers the customer experience with artificial intelligence and machine learning. The aiQ platform is not just a technical platform but was built with empathy and anticipation in mind – creating a uniquely human and personalized experience for each customer. aiQ is continuing to get smarter and has reduced customer contact rates and operating costs – creating a better experience for customers.
Enterprise Story 5: 15:05

Enterprise Story 5:

Where: Main Stage
When: 15:05 - 15:25
AFTERNOON PLENARY: AI and Trust 15:45

AFTERNOON PLENARY: AI and Trust

When: 15:45 - 15:55
As AI evolves, how can we reassure ourselves that it’s acting in the best interests of humanity?
HEADLINER: Ready. Set. Scale AI - Getting past the pilot paralysis15:55
JODIE WALLIS

JODIE WALLIS
Managing Director, Applied Intelligence Canada
Accenture

JODIE WALLIS

JODIE WALLIS
Managing Director, Applied Intelligence Canada
Accenture

HEADLINER: Ready. Set. Scale AI - Getting past the pilot paralysis

Where: Main Stage
When: 15:55 - 16:20
Learn more about critical success factors that separate the Strategic Scalers from organizations in the Proof of Concept stage, as well as the secret to success for these top performers and an AI Roadmap to effectively scale and maximize the return on your AI investments
PANEL DISCUSSION: What does it take for humans to trust AI?16:20
BRIAN CANTWELL SMITH | TOBIAS REES | YVES BOUSSEMART | AJUNG MOON | FIONA MCEVOY

Reid Hoffman Professor of Artificial Intelligence and the Human
University of Toronto

|

Founding Director, Transformations of the Human Program, Berggruen Institute
Reid Hoffman Professor of Humanities
The New School

|

Head of QuantumBlack Canada
QuantumBlack

|

Assistant Professor (ECE)
McGill University

|

MODERATOR/CHAIR

Tech Ethics Researcher/ Writer & Founder
YouTheData.com

BRIAN CANTWELL SMITH

Reid Hoffman Professor of Artificial Intelligence and the Human
University of Toronto

TOBIAS REES

Founding Director, Transformations of the Human Program, Berggruen Institute
Reid Hoffman Professor of Humanities
The New School

YVES BOUSSEMART

Head of QuantumBlack Canada
QuantumBlack

AJUNG MOON

Assistant Professor (ECE)
McGill University

FIONA MCEVOY

MODERATOR/CHAIR

Tech Ethics Researcher/ Writer & Founder
YouTheData.com

PANEL DISCUSSION: What does it take for humans to trust AI?

Where: Main Stage
When: 16:20 - 16:50
  • Can machines have consciousness?
  • If you create AI, does it have rights? At which point does it become intelligent? Do/should robots have rights?
  • What’s sci-fi and hype and what’s reality? What will actually be a reality in the next year or two?
  • Out of control robots is a fear. Do/will they have a conscious identity? Will they turn on humans?
  • What happens when the AI goes wrong and there’s no human being to blame? Cases of self-driving cars or autonomous machines?
  • Certification and auditing issues. How do we gauge that systems are doing what they’re supposed to be doing? As systems adapt and update themselves how can we prove that a system designed some time ago is still doing what it’s meant to be doing?
PANEL DISCUSSION: What will the increasing use of AI for profiling and tracking mean for privacy and bias?16:50
FIONA MCEVOY | ALICE XIANG | FLORIAN MARTIN- BARITEAU | SEAN PERRYMAN

MODERATOR/CHAIR

Tech Ethics Researcher/ Writer & Founder
YouTheData.com

|

ALICE XIANG
Research Scientist
Partnership on AI

|

Professor in the Faculty of Law, Common Law Section & Director of the University of Ottawa Centre for Law, Technology and Society
University of Ottawa Centre for Law, Technology and Society

|

Director of Social Impact Policy and Counsel
The Internet Association

FIONA MCEVOY

MODERATOR/CHAIR

Tech Ethics Researcher/ Writer & Founder
YouTheData.com

ALICE XIANG

ALICE XIANG
Research Scientist
Partnership on AI

FLORIAN MARTIN- BARITEAU

Professor in the Faculty of Law, Common Law Section & Director of the University of Ottawa Centre for Law, Technology and Society
University of Ottawa Centre for Law, Technology and Society

SEAN PERRYMAN

Director of Social Impact Policy and Counsel
The Internet Association

PANEL DISCUSSION: What will the increasing use of AI for profiling and tracking mean for privacy and bias?

Where: Main Stage
When: 16:50 - 17:20
  • What does this mean in terms of surveillance, security and privacy?
  • To what extent do we take our DNA as fair game? And what constitutes fair game?
  • We are losing our anonymity. We aren’t just being observed but also identified on CCTV. As we shed our skin or lose some strands of hair, we are dropping our DNA and this can end up in a database
  • Bias and lack of diversity -do the algorithms used perpetuate bias?
DRINKS RECEPTION 17:20

DRINKS RECEPTION

Where: Main stage
When: 17:20 - 18:20
CLOSE OF SUMMIT DAY ONE 18:20

CLOSE OF SUMMIT DAY ONE

When: 18:20 - 18:30
LUNCH & NETWORKING: Hear two fascinating Startup Stories on the main stage 12:30

LUNCH & NETWORKING: Hear two fascinating Startup Stories on the main stage

When: 12:30 - 13:45
REGISTRATION 07:30

REGISTRATION

When: 07:30 - 09:00
WORKSHOP 1: Bringing cutting-edge AI technology where it counts the most - to people11:30
COLLEEN MCDOWELL

Associate Partner, Cognitive Process Transformation
IBM SERVICES

COLLEEN MCDOWELL

Associate Partner, Cognitive Process Transformation
IBM SERVICES

WORKSHOP 1: Bringing cutting-edge AI technology where it counts the most - to people

When: 11:30 - 12:30
In the personal health and wellness field, demand for counselling is quickly outpacing capacity. And when people struggling with mental and life challengers reach out for help, there is often no time for lengthy paperwork, complicated processes, and organizations centered on procedures and tradition as the norm. Learn how IBM, in working closely with counsellors and subject matter experts and harnessing IBM Watson, has created a Cognitive Assistant tool, to provide self-service capabilities and guide those who need it to resources and human care.  With Watson APIs and custom machine learning - built on a cloud ecosystem that taps into new data sources - making such a significant impact on global societal issues, it becomes increasingly evident that we need to be exploring all opportunities to leverage AI technologies within our own enterprises, in order to deliver business value in ways we had never thought possible until today. 
STREAM 2: STARTUPS, SCALEUPS AND UNICORNS 13:35

STREAM 2: STARTUPS, SCALEUPS AND UNICORNS

When: 13:35 - 13:45
Hear from the AI startups, scaleups and unicorns making waves in 2020
PANEL DISCUSSION: Hot pick of AI disruptors13:45
PABLO DAVALOS | MARI JOLLER | RAUL POPA | PASCAL WEINBERGER | CHRISTOPH AUER-WELSBACH

PABLO DAVALOS
Director of Data Science
Kueski

|

MARI JOLLER
Founder & CEO
Snackable AI

|

RAUL POPA
CEO, Co-Founder & Data Scientist
TypingDNA

|

PASCAL WEINBERGER
Co-Founder & Chief AI Officer
Augustus AI

|
MODERATOR

CHRISTOPH AUER-WELSBACH
Partner
IBM Ventures

PABLO DAVALOS

PABLO DAVALOS
Director of Data Science
Kueski

MARI JOLLER

MARI JOLLER
Founder & CEO
Snackable AI

RAUL POPA

RAUL POPA
CEO, Co-Founder & Data Scientist
TypingDNA

PASCAL WEINBERGER

PASCAL WEINBERGER
Co-Founder & Chief AI Officer
Augustus AI

CHRISTOPH AUER-WELSBACH
MODERATOR

CHRISTOPH AUER-WELSBACH
Partner
IBM Ventures

PANEL DISCUSSION: Hot pick of AI disruptors

When: 13:45 - 14:25
WORKSHOP 2: Building a Machine Learning Pipeline with Watson14:30
STEVEN GREEN | ALEXANDRE ALLE

STEVEN GREEN
Senior Information Management Technical Specialist, IBM
IBM

|

ALEXANDRE ALLE
Advanced Analytics Specialist
IBM

STEVEN GREEN

STEVEN GREEN
Senior Information Management Technical Specialist, IBM
IBM

ALEXANDRE ALLE

ALEXANDRE ALLE
Advanced Analytics Specialist
IBM

WORKSHOP 2: Building a Machine Learning Pipeline with Watson

When: 14:30 - 15:30
In this hands-on workshop, we will walk through the machine learning lifecycle using Watson tools to accelerate both the development and management of models. This session will feature Watson Studio, Watson Machine Learning, and how to use AutoAI to automate model development. Participants should have a basic understanding of programming, and although not required, we do encourage participants to bring their own laptops so they can fully benefit from this hands-on workshop. Advanced knowledge is not necessary. This workshop is designed for Data engineers, data scientists and analysts.
WORKSHOP 3 16:00

WORKSHOP 3

When: 16:00 - 17:00
REFRESHMENTS & NETWORKING 15:30

REFRESHMENTS & NETWORKING

When: 15:30 - 15:55
REFRESHMENTS & NETWORKING 11:00

REFRESHMENTS & NETWORKING

When: 11:00 - 11:30

REGISTRATION OPENS 8.00

REGISTRATION OPENS 8.00

workshop
08:30 08:4509:0009:1509:3009:4510:0010:1510:3010:4511:0011:1511:3011:4512:0012:1512:3012:4513:0013:1513:3013:4514:0014:1514:3014:4515:0015:1515:3015:4516:0016:1516:3016:45
HEADLINER 09:50

HEADLINER

Where: Main Stage
When: 09:50 - 10:15
HEADLINER: How humans judge machines09:20
CESAR A. HILDAGO

CESAR A. HILDAGO
ANITI Chair, University of Toulouse;
Founder & CEO, Datawheel
University of Toulouse

CESAR A. HILDAGO

CESAR A. HILDAGO
ANITI Chair, University of Toulouse;
Founder & CEO, Datawheel
University of Toulouse

HEADLINER: How humans judge machines

Where: Main Stage
When: 09:20 - 09:50
Do we judge humans and machines equally? Or are our judgments biased depending on who or what is performing an action?
REGISTRATION 08:30

REGISTRATION

When: 08:30 - 09:00
LUNCH & NETWORKING: Hear two fascinating Startup Stories on the main stage 12:05

LUNCH & NETWORKING: Hear two fascinating Startup Stories on the main stage

When: 12:05 - 13:30
REFRESHMENTS & NETWORKING 10:15

REFRESHMENTS & NETWORKING

When: 10:15 - 10:45
Enterprise Story 7 11:05

Enterprise Story 7

Where: Main Stage
When: 11:05 - 11:25
Enterprise Story 811:25
PRAKHAR MEHROTRA

PRAKHAR MEHROTRA
Senior Director, Machine Learning
Walmart

PRAKHAR MEHROTRA

PRAKHAR MEHROTRA
Senior Director, Machine Learning
Walmart

Enterprise Story 8

Where: Main Stage
When: 11:25 - 11:45
Enterprise Story 911:45
MATT GALVIN

MATT GALVIN
Vice President, Ethics & Compliance
Anheuser-Busch InBev

MATT GALVIN

MATT GALVIN
Vice President, Ethics & Compliance
Anheuser-Busch InBev

Enterprise Story 9

Where: Main Stage
When: 11:45 - 12:05
Headline Enterprise Story 6: Everything you need to know about machine-learning management, but were afraid to ask10:45
CRAIG MARTELL

CRAIG MARTELL
Head of Machine Learning
Dropbox

CRAIG MARTELL

CRAIG MARTELL
Head of Machine Learning
Dropbox

Headline Enterprise Story 6: Everything you need to know about machine-learning management, but were afraid to ask

Where: Main Stage
When: 10:45 - 11:05
It’s all very well understanding, in theory, the potential benefits of bringing AI into your business, but how can you actually achieve this in practice? Many companies jump on the AI-bandwagon without the necessary talent, resources or knowledge to maximize its potential. So how do turn a valuable untapped resource into an accelerator for change?   What’s the best way to hire and structure an AI team? How can you successfully integrate your AI team with the rest of the business? What’s the best way to maximise ROI? Craig will address these and many other questions.
STREAM 1: USE CASES 10:35

STREAM 1: USE CASES

When: 10:35 - 10:45
Examining practical cases of AI in action in enterprise and how it has transformed the business
REFRESHMENTS & NETWORKING 15:15

REFRESHMENTS & NETWORKING

When: 15:15 - 15:45
AFTERNOON PLENARY: Future Gazing 15:35

AFTERNOON PLENARY: Future Gazing

When: 15:35 - 15:45
Keynote Tech Talk 4: After the Obstacle Tower Challenge: The next Phase of Data-Driven AI13:30
DANNY LANGE

DANNY LANGE
VP of AI and Machine Learning
Unity Technologies

DANNY LANGE

DANNY LANGE
VP of AI and Machine Learning
Unity Technologies

Keynote Tech Talk 4: After the Obstacle Tower Challenge: The next Phase of Data-Driven AI

When: 13:30 - 13:55
STREAM 1: DEEP DIVE TECH TALKS 13:20

STREAM 1: DEEP DIVE TECH TALKS

When: 13:20 - 13:30
Hear from the world's leading tech innovators across industry and academia on ground-breaking new innovations in AI
Tech Talk 1: How AI is Transforming IoT 13:30

Tech Talk 1: How AI is Transforming IoT

Where: Main Stage
When: 13:30 - 13:55
Tech Talk 3: Beyond Supervised Driving14:15
ADRIEN GAIDON

ADRIEN GAIDON
Machine Learning Lead
Toyota Research Institute

ADRIEN GAIDON

ADRIEN GAIDON
Machine Learning Lead
Toyota Research Institute

Tech Talk 3: Beyond Supervised Driving

Where: Main Stage
When: 14:15 - 14:35
CLOSE OF WSAI AMERICAS 16:35

CLOSE OF WSAI AMERICAS

When: 16:35 - 16:45
CLOSING HEADLINER 16:10

CLOSING HEADLINER

Where: Main Stage
When: 16:10 - 16:35
CLOSING HEADLINER: Connecting the global workforce with AI15:45
DEEPAK AGARWAL

DEEPAK AGARWAL
VP of Engineering
LinkedIn

DEEPAK AGARWAL

DEEPAK AGARWAL
VP of Engineering
LinkedIn

CLOSING HEADLINER: Connecting the global workforce with AI

Where: Main Stage
When: 15:45 - 16:10
WELCOME09:00
SARAH PORTER

SARAH PORTER
Founder & CEO
InspiredMinds

SARAH PORTER

SARAH PORTER
Founder & CEO
InspiredMinds

WELCOME

Where: Main Stage
When: 09:00 - 09:20
Tech Talk 213:55
RAMPRAKASH RAMAMOORTHY

RAMPRAKASH RAMAMOORTHY
Member Leadership Staff – Machine Learning & Analytics
Zoho Corporation

RAMPRAKASH RAMAMOORTHY

RAMPRAKASH RAMAMOORTHY
Member Leadership Staff – Machine Learning & Analytics
Zoho Corporation

Tech Talk 2

When: 13:55 - 14:15
Tech Talk 4: Using Artificial Intelligence to predict Exoplanetary Atmospheres using data from Space Telescopes14:35
ARTASH NATH

ARTASH NATH
Co-Founder
HotPopRobot.com

ARTASH NATH

ARTASH NATH
Co-Founder
HotPopRobot.com

Tech Talk 4: Using Artificial Intelligence to predict Exoplanetary Atmospheres using data from Space Telescopes

When: 14:35 - 14:55
Tech Talk 5 14:55

Tech Talk 5

When: 14:55 - 15:15
CLOSING HEADLINER: AI - From Social Good to Ambient Intelligence16:10
YOSSI MATIAS

YOSSI MATIAS
Vice President, Engineering
Google

YOSSI MATIAS

YOSSI MATIAS
Vice President, Engineering
Google

CLOSING HEADLINER: AI - From Social Good to Ambient Intelligence

Where: Main Stage
When: 16:10 - 16:35
This session will highlight how AI can be helpful in addressing societal problems in a range of areas, and how Conversional AI can be transformative in removing barriers of modality and languages and impact how people can interact with technology and with each other.
CLOSE OF WSAI AMERICAS 16:35

CLOSE OF WSAI AMERICAS

When: 16:35 - 16:45
LUNCH & NETWORKING: Hear two fascinating Startup Stories on the main stage 12:05

LUNCH & NETWORKING: Hear two fascinating Startup Stories on the main stage

When: 12:05 - 13:30
REFRESHMENTS & NETWORKING 10:15

REFRESHMENTS & NETWORKING

When: 10:15 - 10:45
REFRESHMENTS & NETWORKING 15:15

REFRESHMENTS & NETWORKING

When: 15:15 - 15:45
REGISTRATION 08:30

REGISTRATION

When: 08:30 - 09:00
PANEL DISCUSSION: Creating AI for social good10:45
DR SUJOY KAR | NEAMA DADKHAHNIKOO

Chief Medical Information Officer & Vice President
Apollo Hospitals

|
MODERATOR
Technical Lead
AI XPRIZE
DR SUJOY KAR

Chief Medical Information Officer & Vice President
Apollo Hospitals

NEAMA DADKHAHNIKOO
MODERATOR
Technical Lead
AI XPRIZE

PANEL DISCUSSION: Creating AI for social good

When: 10:45 - 11:20
Using AI to predict climate change
PANEL DISCUSSION: The implementation of an ethical framework11:25
CONSTANZA GOMEZ MONT | JOHN HAVENS | YOAV SCHLESINGER | AJUNG MOON | FRANCOIS-WILLIAM CROTEAU

CONSTANZA GOMEZ MONT
Founder and CEO
C Minds

|

JOHN HAVENS
Executive Director, The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
IEEE

|

YOAV SCHLESINGER
Principal, Ethical AI Practice
Salesforce

|

Assistant Professor (ECE)
McGill University

|

Borough Mayor – Rosemont La Petite-Patrie & Executive Committee
City of Montreal

CONSTANZA GOMEZ MONT

CONSTANZA GOMEZ MONT
Founder and CEO
C Minds

JOHN HAVENS

JOHN HAVENS
Executive Director, The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
IEEE

YOAV SCHLESINGER

YOAV SCHLESINGER
Principal, Ethical AI Practice
Salesforce

AJUNG MOON

Assistant Professor (ECE)
McGill University

FRANCOIS-WILLIAM CROTEAU

Borough Mayor – Rosemont La Petite-Patrie & Executive Committee
City of Montreal

PANEL DISCUSSION: The implementation of an ethical framework

When: 11:25 - 12:05
What does model governance look like? How should it best be set up? How can you put in control mechanisms that allow it to be dynamic and evolving over the next couple of years but still achieve its ongoing purpose? How can it be controlled to evaluate this process? ML explainability
PANEL DISCUSSION: Banking on AI – how AI is impacting the financial services sector14:05
JOSE MURILLO | HAYDAR TALIB | ZEMFIRA KHISAEVA

JOSE MURILLO
Chief Analytics Officer
Grupo Financiero Banorte

|

Cloud and AI Product Manager- Security and Biometrics
Nuance Communications

|

Vice President, Technology and Enterprise Strategy

Scotiabank

JOSE MURILLO

JOSE MURILLO
Chief Analytics Officer
Grupo Financiero Banorte

HAYDAR TALIB

Cloud and AI Product Manager- Security and Biometrics
Nuance Communications

ZEMFIRA KHISAEVA

Vice President, Technology and Enterprise Strategy

Scotiabank

PANEL DISCUSSION: Banking on AI – how AI is impacting the financial services sector

When: 14:05 - 14:35
PANEL SESSION: Scaling up for success - Founders of successful startups share their challenges and experiences13:30
EFRAT RAPOPORT | ADI ECKHOUSE BARZILAI

EFRAT RAPOPORT
Co-Founder & CEO
Bonobo AI

|

ADI ECKHOUSE BARZILAI
Co-Founder & CEO
Realface

EFRAT RAPOPORT

EFRAT RAPOPORT
Co-Founder & CEO
Bonobo AI

ADI ECKHOUSE BARZILAI

ADI ECKHOUSE BARZILAI
Co-Founder & CEO
Realface

PANEL SESSION: Scaling up for success - Founders of successful startups share their challenges and experiences

When: 13:30 - 14:00
STREAM 2: STARTUPS, SCALEUPS & UNICORNS 13:20

STREAM 2: STARTUPS, SCALEUPS & UNICORNS

When: 13:20 - 13:30
Hear from the AI startups, scaleups and unicorns making waves in 2020
STREAM 2: AI AND HUMANITY10:35
FIONA MCEVOY

MODERATOR/CHAIR

Tech Ethics Researcher/ Writer & Founder
YouTheData.com

FIONA MCEVOY

MODERATOR/CHAIR

Tech Ethics Researcher/ Writer & Founder
YouTheData.com

STREAM 2: AI AND HUMANITY

When: 10:35 - 10:45
Examining cases where AI can be used for social good and to mitigate bias
WORKSHOP 4: Build, Train, Deploy and Monitor ML models with Amazon SageMaker09:00
SAEED AGHABOZORGI | JONATHAN DION

Sr. Solutions Architect – Machine Learning Specialist
Amazon Web Services (AWS)

|

Senior Technical Evangelist
Amazon Web Services (AWS)

SAEED AGHABOZORGI

Sr. Solutions Architect – Machine Learning Specialist
Amazon Web Services (AWS)

JONATHAN DION

Senior Technical Evangelist
Amazon Web Services (AWS)

WORKSHOP 4: Build, Train, Deploy and Monitor ML models with Amazon SageMaker

When: 09:00 - 10:30
Traditional machine learning (ML) development is a complex, expensive, and iterative process made even more difficult because of the lack of integrated tools connecting the entire ML workflow. Users often need to stitch together tools and workflows, which is time-consuming and error-prone. Amazon SageMaker solves this challenge by providing all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost. In this workshop, you will go through that workflow using Amazon SageMaker by building, training and optimizing a model to predict if a customer will enroll for a term deposit when using direct marketing. Finally, you will deploy the model in production, where you will be able to start generating predictions and measure the quality of those predictions. This will be a fully interactive workshop, with hands-on learning outcomes. You will walk away with an understanding of how you can remove the complexity and barriers that typically slow down developers using ML. Laptops are required for this session.
WORKSHOP 5 14:45

WORKSHOP 5

When: 14:45 - 15:15

Don’t miss a thing!

Subscribe to the World Summit AI mailing list to be the first to receive the latest news, AI articles and reports, ticket sales and much more…

 

Subscribe now