Day 1 - 13 November 2019

09:40AM

Applied AI & Big Data: Chair’s Welcome and Opening Remarks

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10:00AM

Kristin Simonini

Vice President of Product

Applause

Associated Talks:

10:00AM - Day 1

View Keynote: The daily business of AI

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Keynote: The daily business of AI

  • Reviewing your AI output
  • The role of analytics in AI
  • How to achieve responsible and ethical AI
  • Transforming business processes at scale
. Kristin Simonini, Vice President of Product, Applause
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10:30AM

Bevan Emma Huang

Director of Data Sciences External Innovation

Johnson & Johnson

Associated Talks:

10:30AM - Day 1

View Keynote Panel: AI for Social good

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Amrita Basu

Assistant Professor

University of California

Associated Talks:

10:30AM - Day 1

View Keynote Panel: AI for Social good

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Constanza Gomez

CEO

C Minds

Associated Talks:

10:30AM - Day 1

View Keynote Panel: AI for Social good

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Keynote Panel: AI for Social good

  • How is AI being successfully applied to challenge social problems?
  • What are the potential uses of AI to solve social and ethical problems?
  • AI’s impact across Health, Environmental Sustainability and Public Welfare
. Bevan Emma Huang, Director of Data Sciences External Innovation , Johnson & Johnson
. Amrita Basu, Assistant Professor , University of California
. Constanza Gomez, CEO, C Minds
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11:10AM

Networking Break

11:50AM

Akshaya Aradhya

Director of Engineering

LiveRamp

Associated Talks:

11:50AM - Day 1

View Making 100 Petabytes Relevant: How LiveRamp Enables People-Based Identity

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Davin Chia Ming Juay

Senior Software Engineer

LiveRamp

Associated Talks:

11:50AM - Day 1

View Making 100 Petabytes Relevant: How LiveRamp Enables People-Based Identity

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Shrif Nada

Senior Software Engineer

LiveRamp

Associated Talks:

11:50AM - Day 1

View Making 100 Petabytes Relevant: How LiveRamp Enables People-Based Identity

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Making 100 Petabytes Relevant: How LiveRamp Enables People-Based Identity

  • How people-based identity changed the digital landscape.
  • How one can use people-based identity, and various use case examples.
  • How LiveRamp efficiently uses petabyte-scale data in our daily operations
. Akshaya Aradhya, Director of Engineering, LiveRamp
. Davin Chia Ming Juay, Senior Software Engineer, LiveRamp
. Shrif Nada, Senior Software Engineer, LiveRamp
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12:10PM

AI, Data and the Connected Car

  • Using data to predict part failure or servicing requirements
  • Monitoring vehicle performance
  • Improving driver and passenger convenience
  • Moving towards driverless cars
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12:40PM

Matthew Denesuk

SVP, Data Analytics & Artificial Intelligence

Royal Caribbean Cruises

Associated Talks:

12:40PM - Day 1

View Why the Cruise Industry will Drive Enterprise AI Innovation in the Next Decade

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Why the Cruise Industry will Drive Enterprise AI Innovation in the Next Decade

Enterprise AI garners little attention in the media today, but it’s potential economic impact dwarfs that of all other areas or AI combined. And it’s surprising to many that leading edge innovations in Enterprise AI will emerge from the cruise industry.  A cruise company is a unique operation.  It comprises a set of semi-independent, floating, self-contained cities, each coupled to a full-spectrum onshore business operation.  Data are being collected everywhere and at all times, to improve all dimensions of the guest experience, and to make the operation run more effectively and more safely.

This presentation will describe how Enterprise AI is a different animal.  How it’s much broader, more complex, and fundamentally different from the more mature and narrower areas of AI (such as NLP or computer vision).  We will describe different approaches and skills needed to be successful in Enterprise AI, and how companies are beginning to apply these to high-impact business problems.  We will also talk about specific applications in the cruise industry, which cover such areas as pricing & revenue management, hotel operations, predictive maintenance & industrial IoT, social media tracking & inference, promotions optimization, supply chain & logistics, and beyond.

We will also discuss the skills and career pathways in Enterprise AI, and how to best gain entry into this emerging, world-changing discipline.

. Matthew Denesuk, SVP, Data Analytics & Artificial Intelligence, Royal Caribbean Cruises
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01:10PM

Networking Break

02:40PM

Catherine Havasi

Visiting Scientist

MIT Media Lab

Associated Talks:

02:40PM - Day 1

View Scaling the voice of Customer Insight Practice with AI

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Scaling the voice of Customer Insight Practice with AI

Customer engagement and experience are extremely important. The companies and brands with the strongest customer engagement strategies are the ones that tend to thrive. Similarly, most marketers say their companies compete mostly on the basis of CX, and expect CX to play an even bigger role in the future.

This presentation will provide guidance on how to incorporate AI into your CX practice and why CX is the perfect place to start an AI practice.  Catherine provides practical examples and useful advice for how to incorporate and then scale the use of AI in CX practices.

. Catherine Havasi, Visiting Scientist, MIT Media Lab
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03:10PM

Kuo-Ning Huang

Director, Data Science

LinkedIn

Associated Talks:

03:10PM - Day 1

View Transforming Hiring Marketplace through Data

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Transforming Hiring Marketplace through Data

. Kuo-Ning Huang, Director, Data Science, LinkedIn
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03:40PM

Jonathan Zaleski

Sr. Director of Engineering

Applause

Associated Talks:

03:40PM - Day 1

View Panel: Examining AI uses in Banking & Financial Services

10:20AM - Day 2

View Panel: AI in retail and ecommerce

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Dylan Moore

A.I. Product Owner

Bank of America

Associated Talks:

03:40PM - Day 1

View Panel: Examining AI uses in Banking & Financial Services

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Senior Representative, Hitachi Vantara

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Associated Talks:

03:40PM - Day 1

View Panel: Examining AI uses in Banking & Financial Services

03:30PM - Day 1

View Panel: Data and the customer

02:00PM - Day 1

View Afternoon Keynote: Making Big Data the center of your business model

12:30PM - Day 1

View Unlocking unstructured Data

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Panel: Examining AI uses in Banking & Financial Services

  • Explore current AI applications within the financial & banking sectors
  • Automated financial advisors and planning developments, and data driven lending systems
  • The future value of machine learning within the finance & banking sectors enabling fraud reduction
  • Safeguarding data and data privacy
  • Bots and conversational banking
. Jonathan Zaleski, Sr. Director of Engineering , Applause
. Dylan Moore, A.I. Product Owner , Bank of America
. Senior Representative, Hitachi Vantara, ., .
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04:20PM

Session Close

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