Day 1

29 November 2017

AI in Enterprise

Gartner predict that by 2021, 40% of new enterprise applications will include AI Technologies. AI and Machine Learning promise to solve a plethora of problems faced by enterprises today, from better decision making to increased efficiencies and cost savings, there seems to be an algorithm to solve it all. This session cuts through the hype to look at real-life case studies to see how AI is being applied by leading organisations.

09:30AM

AI in the Enterprise: Chair’s Welcome

Maribel Lopez

Founder

Lopez Research LLC and Data For Betterment

Associated Talks:

09:30AM - Day 1

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. Maribel Lopez, Founder, Lopez Research LLC and Data For Betterment

09:45AM

Keynote: AI Powered Business Intelligence

Peter Memon

Head of Emerging Technology

Synechron

Associated Talks:

02:00PM - Day 1

View Panel: Driving Digital Transformation through AI & DL development

09:45AM - Day 1

View Keynote: AI Powered Business Intelligence

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  • Using AI to create new business value
  • The benefits of adopting BI analysis to support both strategic and tactical decision-making process
  • Building a data science and analytics culture and an AI first strategy
. Peter Memon, Head of Emerging Technology, Synechron

10:15AM

Keynote Panel: The application of Deep Learning within an Enterprise

Clint Wheelock

Managing Director

Tractica

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Carl Hillier

Product Group Head for Data Capture

ABBYY

Associated Talks:

10:15AM - Day 1

View Keynote Panel: The application of Deep Learning within an Enterprise

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Ali Bouhouch

CTO & VP Enterprise Architecture

Sephora

Associated Talks:

10:15AM - Day 1

View Keynote Panel: The application of Deep Learning within an Enterprise

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Vadim Kutsyy

Distinguished Architect, Data Science

PayPal

Associated Talks:

02:30PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

10:15AM - Day 1

View Keynote Panel: The application of Deep Learning within an Enterprise

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Domenic Venuto

VP and Head of Consumer Division

The Weather Company

Associated Talks:

10:15AM - Day 1

View Keynote Panel: The application of Deep Learning within an Enterprise

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  • How are large companies deploying machine learning & data
  • Is your organisation ready for machine learning?
  • How will AI redefine management strategies & make your business smarter
  • The benefit of dedication of administration duties to AI
Moderator: . Clint Wheelock, Managing Director , Tractica
. Carl Hillier, Product Group Head for Data Capture, ABBYY
. Ali Bouhouch, CTO & VP Enterprise Architecture, Sephora
. Vadim Kutsyy, Distinguished Architect, Data Science , PayPal
. Domenic Venuto, VP and Head of Consumer Division, The Weather Company

11:00AM

Networking Break

11:30AM

How to Avoid Big Data Discrimination

Roy L. Austin

Partner

Harris, Wiltshire & Grannis LLP

Associated Talks:

11:30AM - Day 1

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  • Technology has had and can continue to have a disparate impact on protected groups.
  • There are a number of laws that can be violated when a company’s use of data has a disparate impact.
  • Regardless of whether the government is likely to open an investigation, avoiding big data discrimination is good for business.
  • There are a number of ways that businesses can avoid having a disparate impact.
. Roy L. Austin, Partner, Harris, Wiltshire & Grannis LLP

12:00PM

Case Study: Neuromation

Senior Representative, Neuromation

Associated Talks:

12:00PM - Day 1

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. Senior Representative, Neuromation, ,

12:20PM

Panel: Building an AI strategy for Enterprise

Marlene Jia

COO

TopBots

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Chandler T Wilson

Director of Analytics & Insight

Walmart

Associated Talks:

12:20PM - Day 1

View Panel: Building an AI strategy for Enterprise

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William Groves

Chief Data & Analytics Officer

Honeywell

Associated Talks:

12:20PM - Day 1

View Panel: Building an AI strategy for Enterprise

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Rachael Rekart

Senior Manager

Autodesk

Associated Talks:

12:20PM - Day 1

View Panel: Building an AI strategy for Enterprise

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Jack Hanlon

VP of Analytics

Jet.com

Associated Talks:

12:20PM - Day 1

View Panel: Building an AI strategy for Enterprise

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  • Leveraging bots and other AI for business support and growth
  • The latest updates and use cases in enterprise workflows
  • Learnings and strategies throughout the enterprise
  • Selection & appointment of your tech platform
  • Real use cases from the industry
Moderator: . Marlene Jia, COO, TopBots
. Chandler T Wilson, Director of Analytics & Insight, Walmart
. William Groves, Chief Data & Analytics Officer, Honeywell
. Rachael Rekart, Senior Manager, Autodesk
. Jack Hanlon, VP of Analytics, Jet.com

01:05PM

Networking Lunch

02:00PM

Afternoon Keynote: AI for IOT

Jean-Francois Martin

VP Products

mnubo

Associated Talks:

02:00PM - Day 1

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Applications of ‘AI for IoT’ go well beyond the classic use cases of anomaly detection and predictive maintenance. Artificial Intelligence and Machine Learning can be applied to IoT sensor data to realize actionable business value such as: improve after-market services, reinforce good product usage practices, optimize supply chain and inventory, increase customer engagement, and gradually evolve businesses to product-as-a-service model. This discussion will explore real-life use cases on how IoT manufacturers are using AI/ML to derive meaningful insights from their connected product data.

. Jean-Francois Martin, VP Products, mnubo

02:30PM

Panel: Big Data – Creating Intelligent Data Models

Clint Wheelock

Managing Director

Tractica

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Xin Fu

Senior Director of Data Science

LinkedIn

Associated Talks:

02:30PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Elena Grewel

Head of Data Science

Airbnb

Associated Talks:

02:30PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Vadim Kutsyy

Distinguished Architect, Data Science

PayPal

Associated Talks:

02:30PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

10:15AM - Day 1

View Keynote Panel: The application of Deep Learning within an Enterprise

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Amy Gershkoff

(Former) Chief Data Officer

Ancestry

Associated Talks:

02:30PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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  • The increased need for big data analytics to drive AI & Machine learning
  • How to successfully unlock unstructured data & transform into learnable features
  • The advancement of self-service big data tools & its benefit for your organisation
Moderator: . Clint Wheelock, Managing Director , Tractica
. Xin Fu, Senior Director of Data Science , LinkedIn
. Elena Grewel, Head of Data Science, Airbnb
. Vadim Kutsyy, Distinguished Architect, Data Science , PayPal
. Amy Gershkoff, (Former) Chief Data Officer, Ancestry

03:15PM

Build AI for Next Generation Cyber Security

Bill Yue Chen

Chief Security Architect

Visa

Associated Talks:

03:15PM - Day 1

View Build AI for Next Generation Cyber Security

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  • AI’s Role in Next Gen Security
  • AI Use Cases and Applications in Cyber Security
  • The Art of Managing Certainties and Uncertainties
  • Opportunities and challenges in a dynamic defense game
  • Why AI and big data will help good people win
  • Knowing the limit
. Bill Yue Chen, Chief Security Architect, Visa

03:45PM

Networking Break

04:15PM

Digital Partnerships – Key to accelerating AI in an enterprise

Anju Gupta

Director, Digital Partnerships & Outreach

Monsanto

Associated Talks:

04:15PM - Day 1

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Monsanto has been a deep rooted agriculture company for almost three decades now and have developed a culture of using analytics to increase agriculture productivity globally. Rise of high performance compute analytics enables a sector like agriculture to double down on agriculture productivity since it’s heavily dependent on accounting for multiple sources of variation – environmental, genetics, genomics, weather, location, geospatial components, transgenes etc. Being able to bring the dynamics of all these components together requires significant advances in data sciences from deep learning, machine learning to base statistics, genetics and data sciences collaboration at a global production scale.

At Monsanto, we see this as huge opportunity for digital partnerships with startups to large industry leaders to help accelerate ag productivity globally and drive product performance. In this talk, the I share the successes we have made so far in driving artificial intelligence in a legacy company. I will also share partnerships that Monsanto has embarked upon recently to accelerate in the AI space – from deep learning, machine learning to data sciences collaboration platform to fast forward the pace of innovation in agricultural analytics.

. Anju Gupta, Director, Digital Partnerships & Outreach, Monsanto

04:35PM

How China is Thinking About AI and Why You Should Care

  • Current landscape in China
  • Government policy and budget
  • Factors that contribute to China’s movement in AI
  • Mission-oriented culture
  • Scarcity & adaptability
  • Application-focused product development approach — applied consumer applications prioritize
  • Centralized consumer data
  • Strong centralized government toolkit
  • STEM education — STEM educated leadership & broad STEM education
  • Why we should care

05:05PM

Panel: AI for Social Good

Maribel Lopez

Founder

Lopez Research LLC and Data For Betterment

Associated Talks:

09:30AM - Day 1

View AI in the Enterprise: Chair’s Welcome

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Mehdi Jamei

Executive Director

Bayes Impact

Associated Talks:

05:05PM - Day 1

View Panel: AI for Social Good

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Clara Tsao

Presidential Innovation Fellow and Entrepreneur-in-Residence

White House Presidential Innovation Fellows

Associated Talks:

05:05PM - Day 1

View Panel: AI for Social Good

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Ryan Prox

Senior Constable in Charge, Crime Analytics Advisory & Development Unit

Vancouver Police Department

Associated Talks:

05:05PM - Day 1

View Panel: AI for Social Good

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Karen Tay

Director, Singapore

Smart Nation

Associated Talks:

05:05PM - Day 1

View Panel: AI for Social Good

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  • How is AI being successfully applied to challenge problems
  • What are the potential uses of AI across various sectors that are essential for social good.
  • AI’s impact across Urban Computing, Health, Environmental Sustainability and Public Welfare

 

Moderator: . Maribel Lopez, Founder, Lopez Research LLC and Data For Betterment
. Mehdi Jamei, Executive Director, Bayes Impact
. Clara Tsao, Presidential Innovation Fellow and Entrepreneur-in-Residence, White House Presidential Innovation Fellows
. Ryan Prox, Senior Constable in Charge, Crime Analytics Advisory & Development Unit, Vancouver Police Department
. Karen Tay, Director, Singapore, Smart Nation

05:50PM

Session End

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