Day 1 - 29 November 2017

AI for Developers

With AI being heralded as the fourth industrial revolution, it is often developers leading the charge within organisations.  This session will explore the evolving technology and infrastructures and the challenges of implementing ML and DL techniques. We’ll also take a look at some of the hottest tech breakthroughs as well as what investors are looking for before they invest – a must for all ai entrepreneurs.

09:30AM

Kyle Landry

Analyst

Lux Research

Associated Talks:

09:30AM - Day 1

View AI for Developers: Chair’s Welcome

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AI for Developers: Chair’s Welcome

. Kyle Landry, Analyst, Lux Research
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09:45AM

Dr. Danny Lange

Vice President of AI and Machine Learning

Unity Technologies, Inc.

Associated Talks:

09:45AM - Day 1

View Keynote: The AI and Machine Learning Revolution.

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Keynote: The AI and Machine Learning Revolution.

  • How to put ML models into production
  • Current options and challenges of ML hardware
  • Challenges faced by Enterprises using new deep learning and ML technologies
  • What are the next wave of ML innovations?
. Dr. Danny Lange, Vice President of AI and Machine Learning , Unity Technologies, Inc.
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10:15AM

Shyam Sakar

Organizer of Big Data Science Meetup/CEO & Founder of AyushNet

Big Data Science MeetUp

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Shirish Tatikonda

Principal Data Engineer

Target

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Shani Offen

Machine Learning Chapter Lead

Spotify

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Panel: Data and ML architecture

  • Frameworks for data acquisition
  • Creating big data and ML pipelines to power algorithms
  • Model training and evaluation
  • Designing a scalable and robust infrastructure
  • How to utilize cloud-based systems for complex computing  
Moderator: . Shyam Sakar, Organizer of Big Data Science Meetup/CEO & Founder of AyushNet, Big Data Science MeetUp
. Shirish Tatikonda, Principal Data Engineer, Target
. Shani Offen, Machine Learning Chapter Lead, Spotify
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11:00AM

Networking Break

11:30AM

Peter Carr

Research Scientist

Disney Research

Associated Talks:

11:30AM - Day 1

View Case Study: Modeling Sequential Decision Making in Team Sports using Deep Imitation Learning

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Case Study: Modeling Sequential Decision Making in Team Sports using Deep Imitation Learning

Disney Research has developed an automatic “ghosting” system which illustrates where defensive players should have been (instead of where they actually were) based on the locations of the opposition players and ball. Employing a machine learning technique called deep imitation learning, and modifying standard recurrent neural network training to consider both instantaneous and future losses, their algorithm is able to generate ghost player behaviors which anticipate the movements of their teammates and the opposition. The approach avoids the man-years of manual annotation that is needed to train existing ghosting systems, and can be fine tuned to mimic the behavior of specific teams or playing styles.

. Peter Carr, Research Scientist, Disney Research
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12:00PM

Jeremy Frank

Group Lead at NASA

NASA - National Aeronautics and Space Administration

Associated Talks:

12:00PM - Day 2

View AI powering missions to Mars

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AI powering missions to Mars

For over 50 years, NASA’s crewed missions have been confined to the Earth-Moon system, where speed-of-light communications delays between crew and ground are practically nonexistent.

This ground-centered mode of operations, with a large, ground-based support team, is not sustainable for NASA’s future human exploration missions to Mars. Future astronauts will need smarter tools employing Artificial Intelligence (AI) techniques make decisions without inefficient communication back and forth with ground-based mission control.  In this talk we will describe several demonstrations of astronaut decision support tools using AI techniques as a foundation.  These demonstrations show that astronauts tasks ranging from living and working to piloting can benefit from AI technology development.

. Jeremy Frank, Group Lead at NASA , NASA - National Aeronautics and Space Administration
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12:30PM

Howard Chen

CEO

Howard C. Consulting

Associated Talks:

12:30PM - Day 1

View The importance of talent development aligned with UN Sustainable Development Goals to shape your AI business

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The importance of talent development aligned with UN Sustainable Development Goals to shape your AI business

  • Why talent development is a key issue for the AI era?
  • What is the importance of implementing organization health index(OHI) in every industry & nationality?
  • What is the connection between OHI, talent evolution, AI, IoT & innovation?
  • How could we combine the concept of UN Sustainable Development Goals for shaping AI business?
. Howard Chen, CEO, Howard C. Consulting
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12:50PM

Networking Lunch

02:00PM

Ahmed Banafa

IoT Expert, Faculty and Author

San Jose Status University

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Jan Van Bruaene

Vice President of Engineering

RTI

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Peter Memon

Head of Emerging Technology

Synechron

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Dr. Danny Lange

Vice President of AI and Machine Learning

Unity Technologies, Inc.

Associated Talks:

09:45AM - Day 1

View Keynote: The AI and Machine Learning Revolution.

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Panel: Driving Digital Transformation through AI & DL development

  • What are the fundamental buildings blocks needed for build a digital organisation using AI, ML & DL in terms of people, skills and tech?
  • Discussing the role of other companies within the process, from start ups to big ticket providers.
  • Examining digital transformation from both industrial (digital twins etc) and business information (supply chain analysis) perspectives.
  • Real life examples of successful transformations from across Enterprise.
Moderator: . Ahmed Banafa, IoT Expert, Faculty and Author, San Jose Status University
. Jan Van Bruaene, Vice President of Engineering, RTI
. Peter Memon, Head of Emerging Technology, Synechron
. Dr. Danny Lange, Vice President of AI and Machine Learning , Unity Technologies, Inc.
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02:45PM

Pratik Prabhanjan Brahma

Research Engineer

Volkswagen Group Electronics Research Labarotary (ERL)

Associated Talks:

02:45PM - Day 1

View Challenges and opportunities in applying machine learning for assisted and autonomous driving

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Challenges and opportunities in applying machine learning for assisted and autonomous driving

  • Deep Learning and its promising applications in perception for vehicles
  • Real world and simulated data requirement for training and testing of machine learning models
. Pratik Prabhanjan Brahma, Research Engineer, Volkswagen Group Electronics Research Labarotary (ERL)
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03:15PM

Networking Break

03:45PM

Kyle Landry

Analyst

Lux Research

Associated Talks:

09:30AM - Day 1

View AI for Developers: Chair’s Welcome

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Ashish Aggarwal

Principal

Grishin Robotics

Associated Talks:

03:45PM - Day 1

View Investor Panel: Financing your AI Innovation

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Kartik Gada

Executive Director

Woodside Capital Partners

Associated Talks:

03:45PM - Day 1

View Investor Panel: Financing your AI Innovation

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Anarghya Vardhana

Senior Associate

Maveron

Associated Talks:

03:45PM - Day 1

View Investor Panel: Financing your AI Innovation

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Amr Shady

Co-founder and CEO

Aingel

Associated Talks:

03:45PM - Day 1

View Investor Panel: Financing your AI Innovation

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Investor Panel: Financing your AI Innovation

Our panel of AI investors and venture capitalists discuss what they look for before investing in a fledgling AI company.  A must attend for all AI start-ups and entrepreneurs.

Moderator: . Kyle Landry, Analyst, Lux Research
. Ashish Aggarwal, Principal, Grishin Robotics
. Kartik Gada, Executive Director, Woodside Capital Partners
. Anarghya Vardhana, Senior Associate, Maveron
. Amr Shady, Co-founder and CEO , Aingel
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04:30PM

Using Deep Learning with Intel BigDL for optimized personalized card linked offer

  • We implemented new Users-Items Propensity Models with deep learning algorithms  base on Intel BigDL framework to help our PCLO (Personal Card Lined Offers) team in Loyalty to improve the quality , performance and accuracy of offer and campaigns design, targeting offer matching and linking .
  • Intel BigDL is a distributed scalable deep learning library for Apache Spark; with BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Spark or Hadoop clusters without considering changing existing infrastructure and learning lots of new “terminologies”.
  • I will also share the technical evaluation journey to choose an enterprise deep learning framework and the experiences for using Intel BigDL.
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05:00PM

Paul Heirend

Co-Founder & Chief Technology Evangelist

Skejul

Associated Talks:

05:00PM - Day 1

View Start up Showcase- Using AI & Machine Learning in the Real World

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YJ Min

CEO & Co-founder

Konolabs

Associated Talks:

05:00PM - Day 1

View Start up Showcase- Using AI & Machine Learning in the Real World

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Haim Senior

Founder & CEO

Knowmail

Associated Talks:

05:00PM - Day 1

View Start up Showcase- Using AI & Machine Learning in the Real World

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Start up Showcase- Using AI & Machine Learning in the Real World

A selection of rapid fire presentations from the hottest new AI start ups, showcasing the latest advances in this fast moving field.

. Paul Heirend, Co-Founder & Chief Technology Evangelist , Skejul
. YJ Min, CEO & Co-founder, Konolabs
. Haim Senior, Founder & CEO, Knowmail
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05:50PM

Session End

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