Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK

Monday, 8/10/2018

9:00

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9:00–17:00 Monday, 8/10/2018
Training
Location: Westminster Suites Level: Intermediate
Secondary topics:  Deep Learning tools
Robert Schroll (The Data Incubator)
TensorFlow is an increasingly popular tool for deep learning. We offer an overview of the TensorFlow graph using its Python API. You'll start with simple machine learning algorithms and move on to implementing neural networks. Along the way, Dylan covers several real-world deep learning applications, including machine vision, text processing, and generative networks. Read more.
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9:00–17:00 Monday, 8/10/2018
Training
Location: Hilton Meeting room 1/2
Secondary topics:  Deep Learning models, Deep Learning tools, Text, Language, and Speech
Delip Rao (R7 Speech Science)
Delip Rao explores natural language processing with deep learning, walking you through neural network architectures and NLP tasks and teaching you how to apply these architectures for those tasks. Read more.
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9:00–17:00 Monday, 8/10/2018
Training
Location: Hilton Meeting room 3/4
Secondary topics:  AI in the Enterprise
We offer a condensed introduction to key AI and machine learning concepts and techniques, showing you what is (and isn't) possible with these exciting new tools and how they can benefit your organization. Read more.
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9:00–17:00 Monday, 8/10/2018
Training
Location: Hilton Meeting room 5/6
Secondary topics:  Computer Vision, Deep Learning tools, Edge computing and Hardware, Platforms and infrastructure
Ben Odom (Intel), Rudy Cazabon (Intel), Meghana Rao (Intel)
This hands-on training will leave attendees knowing how to build, implement and deploy a deep learning solution. Every registered attendee will receive free hardware to work with during the training. The hardware is yours to keep at the end of the event. Read more.
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9:00–17:00 Monday, 8/10/2018
Training
Location: Hilton Meeting room 13-15
Giuseppe Angelo Porcelli (Amazon Web Services)
This 2-day training will provide an introduction to fundamentals of neural networks and theory of computer vision before an introduction to MXNet framework and Gluon API, followed by a deeper dive into GluonCV, a newly developed library dedicated to computer vision based on gluon. The training includes several interactive and accumulative labs that will provide hands-on experience with gluon. Read more.

10:30

10:30–11:00 Monday, 8/10/2018
Location: TBD
Morning Break (30m)

12:30

12:30–13:30 Monday, 8/10/2018
Location: Restaurant
Lunch (1h)

15:00

15:00–15:30 Monday, 8/10/2018
Location: TBD
Afternoon Break (30m)

Tuesday, 9/10/2018

9:00

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9:00–12:30 Tuesday, 9/10/2018
Tutorial
Implementing AI
Location: Buckingham Room - Palace Suite Level: Beginner
Secondary topics:  Computer Vision, Deep Learning tools
Mo Patel (Independent)
Computer vision has led the artificial intelligence renaissance, and pushing it further forward is PyTorch, a flexible framework for training models. Mo Patel and Neejole Patel offer an overview of computer vision fundamentals and walk you through PyTorch code explanations for notable objection classification and object detection models. Read more.
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9:00–12:30 Tuesday, 9/10/2018
Tutorial
Implementing AI
Location: Blenheim Room - Palace Suite Level: Intermediate
Secondary topics:  Deep Learning tools, Platforms and infrastructure
David Arpin (Amazon Web Services)
Outline: - Provide a quick product overview of the Amazon SageMaker machine learning platform; - Setup and Amazon SageMaker Notebook (hosted Jupyter Notebook server); - Hands on training using a built-in SageMaker deep learning algorithm; - Dive into building your own neural network architecture using SageMaker's pre-built TensorFlow containers. Read more.
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9:00–17:00 Tuesday, 9/10/2018
Tutorial
AI Business Summit
Location: King's Suite - Balmoral Level: Beginner
Secondary topics:  AI in the Enterprise
Kristian Hammond (Northwestern Computer Science)
Even as AI technologies move into common use, many enterprise decision makers remain baffled about what the different technologies actually do and how they can be integrated into their businesses. Rather than focusing on the technologies alone, Kristian Hammond provides a practical framework for understanding your role in problem solving and decision making. Read more.
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9:00–17:00 Tuesday, 9/10/2018
Tutorial
Interacting with AI
Location: Park Suite Level: Intermediate
Secondary topics:  Computer Vision, Deep Learning tools
This hands-on workshop walks through creating increasingly sophisticated image classification models using TensorFlow. Read more.

12:30

12:30–13:30 Tuesday, 9/10/2018
Location: Restaurant
Lunch (1h)

13:30

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13:30–17:00 Tuesday, 9/10/2018
Tutorial
Models and Methods
Location: Buckingham Room - Palace Suite Level: Intermediate
Secondary topics:  Deep Learning models, Financial Services, Temporal data and time-series
Yijing Chen (Microsoft), Dmitry Pechyoni (Microsoft), Angus Taylor (Microsoft), Vanja Paunic (Microsoft)
Almost every business today uses forecasting to make better decisions and allocate resources more effectively. Recurrent neural networks (RNNs), designed for processing sequential data, have achieved a lot of success in text, speech and video analysis but are less used for time series forecasting. In this tutorial we show how and when to apply RNNs to time series forecasting. Read more.
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13:30–17:00 Tuesday, 9/10/2018
Tutorial
Location: Blenheim Room - Palace Suite
Secondary topics:  Reinforcement Learning, Text, Language, and Speech
Ion Stoica (UC Berkeley), Robert Nishihara (UC Berkeley), Philipp Moritz (UC Berkeley), Richard Liaw (UC Berkeley RISELab), Eric Liang (UC Berkeley RISELab)
Ion Stoica, Robert Nishihara, and Philipp Moritz lead a deep dive into Ray, a new distributed execution framework for reinforcement learning applications, walking you through Ray's API and system architecture and sharing application examples, including several state-of-the art RL algorithms. Read more.

Wednesday, 10/10/2018

8:15

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8:15–8:45 Wednesday, 10/10/2018
Event
Location: TBD
Ready, set, network! Meet fellow attendees who are looking to connect at the AI Conference. We'll gather before Wednesday and Thursday keynotes for an informal speed networking event. Be sure to bring your business cards—and remember to have fun. Read more.

9:00

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9:00–9:05 Wednesday, 10/10/2018
Keynote
Location: King's Suite
Ben Lorica (O'Reilly Media), Roger Chen (Computable Labs)
Wednesday opening remarks from Program Chairs Ben Lorica and Roger Chen Read more.

9:05

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9:05–9:20 Wednesday, 10/10/2018
Keynote
Location: King's Suite
Jonathan Ballon (Intel)
Keynote by Jonathan Ballon, Intel Read more.

9:20

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9:20–9:30 Wednesday, 10/10/2018
Keynote
Location: King's Suite
Ben Lorica (O'Reilly Media), Roger Chen (Computable Labs)
Keynote by Program Chairs Ben Lorica and Roger Chen Read more.

9:35

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9:35–9:50 Wednesday, 10/10/2018
Keynote
Location: King's Suite
Secondary topics:  Text, Language, and Speech
Amy Heineike (Primer AI)
Human-generated knowledge bases like Wikipedia have excellent precision but poor recall. We created a self-updating knowledge base that can track factual claims in unstructured text and describe what it learns in human-readable text. Read more.

10:00

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10:00–10:15 Wednesday, 10/10/2018
Keynote
Location: King's Suite
Ashok Srivastava (Intuit)
Keynote by Ashok Srivastava Read more.

10:20

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10:20–10:35 Wednesday, 10/10/2018
Keynote
Location: King's Suite
Secondary topics:  Computer Vision, Edge computing and Hardware
Yangqing Jia (Facebook)
Keynote with Yangqing Jia Read more.

11:05

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11:05–11:45 Wednesday, 10/10/2018
Session
Location: King's Suite - Sandringham
Secondary topics:  Deep Learning tools, Edge computing and Hardware
Yangqing Jia (Facebook), Dmytro Dzhulgakov (Facebook)
Session by Yangqing Jia Read more.
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11:05–11:45 Wednesday, 10/10/2018
Session
AI Business Summit
Location: Blenheim Room - Palace Suite Level: Intermediate
Secondary topics:  AI in the Enterprise, Financial Services
Ashok Srivastava (Intuit)
In this session, Intuit Chief Data Officer Ashok Srivastava explores how to make your organization AI ready, how to determine which are the right AI applications for your business and products, and how to accelerate your AI efforts with speed and scale. Read more.
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11:05–11:45 Wednesday, 10/10/2018
Session
Implementing AI
Location: Windsor Suite
Secondary topics:  Edge computing and Hardware, Platforms and infrastructure
Nigel Toon (Graphcore)
How scaling IPUs will increase the productivity of machine intelligence researchers everywhere. What can we do and expect from the field with vastly more compute? Read more.
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11:05–11:45 Wednesday, 10/10/2018
Session
Implementing AI
Location: King's Suite - Balmoral Level: Intermediate
Secondary topics:  Deep Learning models, Ethics, Privacy, and Security, Text, Language, and Speech
Yishay Carmiel (IntelligentWire)
In recent years, there has been a quantum leap in the performance of AI. From speech recognition to machine translation and computer vision, deep learning made its mark. However, the more artificial intelligence is gaining popularity, the issues of data privacy are getting more traction. This session will review these issues and how they impact the future of deep learning development. Read more.
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11:05–11:45 Wednesday, 10/10/2018
Session
Implementing AI
Location: Westminster Suite Level: Intermediate
Secondary topics:  Deep Learning tools, Platforms and infrastructure
Zhe Zhang (LinkedIn), Jonathan Hung (LinkedIn), Keqiu Hu (LinkedIn)
We have developed TensorFlow on YARN (TonY), a framework to natively run TensorFlow on Hadoop. TonY enables running TensorFlow distributed training as a new type of Hadoop application. TonY's native Hadoop connector, together with other features, aims to run TensorFlow jobs as reliably and flexibly as other first-class citizens on Hadoop including MapReduce and Spark. Read more.
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11:05–11:45 Wednesday, 10/10/2018
Session
AI Business Summit, Impact of AI on Business and Society
Location: Park Suite Level: Beginner
Secondary topics:  AI in the Enterprise
Francesca Lazzeri (Microsoft), Jaya Mathew (Microsoft)
What profession did Harvard Business Review call the Sexiest Job of the 21st Century? With the growing buzz of data science, several professionals have approached us at various events to learn more about how to become a data scientist. This session aims at raising awareness of what it takes to become a data-scientist and how artificial intelligence solutions have started to reinvent businesses. Read more.

11:55

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11:55–12:35 Wednesday, 10/10/2018
Session
Interacting with AI
Location: King's Suite - Sandringham Level: Intermediate
Secondary topics:  Media, Marketing, Advertising, Reinforcement Learning
Danny Lange (Unity Technologies)
Join this session to discuss the role of intelligence in biological evolution and learning. The speaker will demonstrate why a game engine is the perfect virtual biodome for AI’s evolution. Attendees will recognize how the scale and speed of simulations is changing the game of AI while learning about new developments in reinforcement learning. Read more.
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11:55–12:35 Wednesday, 10/10/2018
Session
Sponsored, TensorFlow at AI
Location: Buckingham Room - Palace Suite
Amit Patankar (Google)
Building machine learning models is a multi-stage process. TensorFlow high-level APIs make this process smooth and easy, whether you are starting small or going big. In this talk, we will walk through a practical example of building, training, and debugging a model, and then exporting it for serving using these APIs. Read more.
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11:55–12:35 Wednesday, 10/10/2018
Session
AI Business Summit
Location: Blenheim Room - Palace Suite Level: Beginner
Secondary topics:  AI in the Enterprise
Paco Nathan (derwen.ai)
Deep learning works well when you have large labeled datasets, but not every team has those assets. *Active learning* is a ML variant which incorporates *human-in-the-loop*. It focuses input from human experts, leveraging intelligence already in the system, and provides systematic ways to explore/exploit "uncertainty" in your data. Strategy emerges for managing teams of people + automation. Read more.
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11:55–12:35 Wednesday, 10/10/2018
Session
Models and Methods
Location: Windsor Suite Level: Advanced
Secondary topics:  Deep Learning models, Ethics, Privacy, and Security
Alan Mosca (Sendence | Birkbeck, University of London)
This talk shows how any Deep Learning model can be improved and made more secure with the use of targeted Ensemble methods, and other similar techniques, independently of Read more.
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11:55–12:35 Wednesday, 10/10/2018
Session
Models and Methods
Location: King's Suite - Balmoral Level: Intermediate
Secondary topics:  Deep Learning models, Ethics, Privacy, and Security
Mike Lee Williams (Cloudera Fast Forward Labs)
Imagine building a model whose training data is collected on edge devices such as cell phones or sensors. Each device collects data unlike any other, and the data cannot leave the device because of privacy concerns or unreliable network access. This challenging situation is known as federated learning. In this talk we’ll cover the algorithmic solutions and the product opportunities. Read more.
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11:55–12:35 Wednesday, 10/10/2018
Session
AI in the Enterprise
Location: Westminster Suite Level: Beginner
Secondary topics:  Platforms and infrastructure
Diego Oppenheimer (Algorithmia)
We’ll look at why Machine Learning is a natural fit for serverless computing, discuss a general architecture for scalable ML, and cover issues we ran into when implementing our own on-demand scaling over GPU clusters, providing general solutions and a vision for the future of cloud-based ML Read more.
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11:55–12:35 Wednesday, 10/10/2018
Session
AI Business Summit, AI in the Enterprise
Location: Park Suite Level: Intermediate
Secondary topics:  Financial Services
Christine Foster (The Alan Turing Institute), Rakshit Kapoor (HSBC)
In 2016 the Alan Turing Institute, the UK’s new national institute for data science and AI, announced a funded strategic multi-year research partnership with HSBC. In this session, the Turing’s MD for Innovation, Christine Foster, and HSBC’s Global Chief Data Officer, Rakshit Kapoor, will share insights and use-cases from making this ambitious and innovative cross-sector partnership work. Read more.

12:35

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12:35–13:45 Wednesday, 10/10/2018
Event
Location: Sponsor Pavilion
Topic Table discussions are a great way to informally network with people in similar industries or interested in the same topics. Read more.

13:45

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13:45–14:25 Wednesday, 10/10/2018
Session
Location: King's Suite - Sandringham
Secondary topics:  Computer Vision, Deep Learning tools
Dmytro Dzhulgakov (Facebook)
Session by Dmytro Dzhulgakov Read more.
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13:45–14:25 Wednesday, 10/10/2018
Session
AI Business Summit, AI in the Enterprise
Location: Blenheim Room - Palace Suite Level: Beginner
Secondary topics:  AI in the Enterprise
Diego Saenz (Accenture)
What do the world's most innovative and fastest growing companies have in common? They are in industries with a high level of VC funding. In this talk we look at the top 10 investors in AI and the where they are placing big bets. We have analyzed 5 years of VC investment data to discover the AI use cases and technologies that are attracting the most money and will drive Enterprise AI innovation. Read more.
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13:45–14:25 Wednesday, 10/10/2018
Session
Models and Methods
Location: Windsor Suite Level: Intermediate
Secondary topics:  Temporal data and time-series
Machine learning methods have recently gained popularity among mainstream forecasting practitioners due to its ability to obtain better accuracy when the forecast horizon is much longer and non-linear. While this is true, econometrics approach allows more transparency and formal standard to verify forecasts with better performance for linear trends. Read more.
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13:45–14:25 Wednesday, 10/10/2018
Session
Implementing AI
Location: King's Suite - Balmoral Level: Intermediate
Secondary topics:  Ethics, Privacy, and Security, Retail and e-commerce
Rupert Steffner (WUNDER)
With the increase in automated decision-making and first doubts in the quality of algorithmic decisions, there is a growing demand for transparency and accountability in AI. The shift from black-box to white-box could be a great opportunity to build AI models that can create trust with the user. The current approach has been taken from a real-world implementation and shows a way how to do it. Read more.
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13:45–14:25 Wednesday, 10/10/2018
Session
Location: Westminster Suite
Secondary topics:  Deep Learning tools, Edge computing and Hardware, Platforms and infrastructure
Gaurav Kaul (Amazon Web Services), Suneel Marthi (Amazon Web Services)
In this talk, we present these trade-offs and design choices that are applicable to deep learning models when training in the cloud. We specifically focus on the important topic of convergence and numerical stability which is of high importance in autonomous driving and medical imaging. Using CPU spot instance in AWS, we show how cost, performance and convergence can be optimized. Read more.
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13:45–14:25 Wednesday, 10/10/2018
Session
AI Business Summit, AI in the Enterprise, Impact of AI on Business and Society
Location: Park Suite Level: Intermediate
Secondary topics:  Financial Services
Martin Goodson (Evolution AI), Mark St. John Qualter (RBS)
Evolution AI report the outcomes of a year-long feasibility study for the introduction of AI into the on-boarding process at Royal Bank of Scotland (RBS). We will outline our experiences in translating this complex business process into a high performance computational system. Read more.

14:35

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14:35–15:15 Wednesday, 10/10/2018
Session
Implementing AI, Models and Methods
Location: King's Suite - Sandringham Level: Intermediate
Secondary topics:  Deep Learning models, Edge computing and Hardware
We will introduce a unified network that jointly performs various mission critical tasks in real-time on a mobile environment, within the context of driving, and we will address the challenges that emerge when training a single mobile network for multiple tasks such as object detection, object attributes recognition, classification, and tracking. Read more.
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14:35–15:15 Wednesday, 10/10/2018
Session
Sponsored, TensorFlow at AI
Location: Buckingham Room - Palace Suite
Josh Dillon (Google)
Two talks on TensorFlow in space and mathematics: TensorFlowProbablity (TFP) and Deep learning for fundamental sciences using high-performance computing Read more.
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14:35–15:15 Wednesday, 10/10/2018
Session
AI Business Summit
Location: Blenheim Room - Palace Suite Level: Beginner
Secondary topics:  AI in the Enterprise
Mariya Yao (Metamaven)
Executives in every business are being asked to “innovate with AI”, but the barriers to successful adoption for most enterprises is organizational, not technical. Effective application of AI requires extended interdisciplinary coordination between executive and functional teams, investments in retraining your workforce, and the cultivation of a open, experimental, and data-driven culture. Read more.
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14:35–15:15 Wednesday, 10/10/2018
Models and Methods
Location: Windsor Suite
Secondary topics:  Deep Learning models, Temporal data and time-series
Andrea Pasqua (Uber)
In this talk we will investigate the merits of using deep learning and other machine learning approaches in the area of forecasting and we will describe some of the machine learning approaches we have used to be able to forecast time-series of business relevance at Uber. Read more.
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14:35–15:15 Wednesday, 10/10/2018
Session
Interacting with AI
Location: King's Suite - Balmoral Level: Beginner
Secondary topics:  Ethics, Privacy, and Security, Interfaces and UX
Rachel Bellamy (IBM Research), Casey Dugan (IBM Research)
Data bias is not only an AI problem, it is also a User Interface problem. Non-AI experts use custom application interfaces to help them make decisions based on predictions from machine learning models. These application interfaces need to be designed so that the decisions made are unbiased. We will discuss how to represent model predictions so that people can recognize if they are fair. Read more.
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14:35–15:15 Wednesday, 10/10/2018
Session
Implementing AI
Location: Westminster Suite Level: Intermediate
Secondary topics:  Edge computing and Hardware
Shaoshan Liu (PerceptIn)
first FPGA-based computing system for autonomous driving Read more.
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14:35–15:15 Wednesday, 10/10/2018
Session
AI Business Summit, AI in the Enterprise
Location: Park Suite Level: Intermediate
Secondary topics:  Financial Services, Retail and e-commerce
James Crawford (Orbital Insight)
By some estimates, soon it would require eight million people doing nothing but looking at satellite imagery 24/7 in order to ensure every photo taken on a daily basis is viewed. Artificial intelligence solves this problem of scale, allowing us to accurately analyze reams of satellite imagery and detect patterns of socio-economic change in a timely fashion. Read more.

16:00

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16:00–16:40 Wednesday, 10/10/2018
Session
Models and Methods
Location: King's Suite - Sandringham Level: Beginner
Secondary topics:  Computer Vision, Deep Learning models, Ethics, Privacy, and Security, Retail and e-commerce
Pin-Yu Chen (IBM Research AI)
Recently, neural networks are identified to be particularly vulnerable to adversarial inputs. Carefully designed perturbations can lead a well-trained model to misbehave, raising new concerns about safety-critical and security-critical applications. This talk aims to introduce a comprehensive robustness measure, CLEVER, that can be used to assess the robustness of any neural network classifiers. Read more.
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16:00–16:40 Wednesday, 10/10/2018
Session
Sponsored, TensorFlow at AI
Location: Buckingham Room - Palace Suite
Ryan Sepassi (Google)
Tensor2Tensor is an open-source library of datasets and models and a framework for training, evaluation, and decoding. It is built on top of TensorFlow and is actively used and maintained by scientists and engineers within Google Brain. Read more.
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16:00–16:40 Wednesday, 10/10/2018
AI Business Summit
Location: Blenheim Room - Palace Suite
Secondary topics:  Computer Vision, Data Networks and Data Markets
Daeil Kim (AI.Reverie)
In this talk, Daeil Kim, a machine learning researcher and founder of AI.Reverie delineates the advantages of synthetic data and how to avoid traps that lead to dead zones and false positives. He also reviews work of simulations for synthetic data in application verticals that are traditionally difficult to manually acquire significant data sets. Read more.
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16:00–16:40 Wednesday, 10/10/2018
Session
Implementing AI
Location: Windsor Suite Level: Beginner
Secondary topics:  Deep Learning models, Financial Services, Temporal data and time-series
In this presentation, Gaurav Chakravorty, co-founder at qplum, will discuss how recommender system can be utilized for investment management. He will also discuss how AI and Deep Learning is being utilized in trading today. Read more.
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16:00–16:40 Wednesday, 10/10/2018
Session
Implementing AI, Models and Methods
Location: King's Suite - Balmoral Level: Intermediate
Secondary topics:  Media, Marketing, Advertising, Text, Language, and Speech
Rahul Dodhia (Microsoft)
Artificial intelligence is mature enough to make substantial contributions to the legal industry. We describe an AI assistant that can perform routine tasks such as contract review and checking compliance with regulations at higher accuracy rates than legal professionals. Read more.
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16:00–16:40 Wednesday, 10/10/2018
Session
Implementing AI, Interacting with AI
Location: Westminster Suite Level: Intermediate
Secondary topics:  Computer Vision, Deep Learning tools
Anmol Jagetia (Media.net)
Machine learning and object recognition have recently matured to a point at where exciting applications are becoming possible. In this talk, we will aim to create a pokedex, that used a camera-phone to recognize the pokemon it is looking at, in real-time! We will gather data and prepare our dataset, tune models, deploy it to a mobile device and learn the tech that is used in self-driving cars! Read more.
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16:00–16:40 Wednesday, 10/10/2018
Session
AI Business Summit, Impact of AI on Business and Society
Location: Park Suite Level: Intermediate
Secondary topics:  Interfaces and UX
Alice Zimmermann (Google)
Fueled by the growth of messaging apps, conversational interfaces are quickly becoming an essential component of every service and product. Come hear Google talk about how we approach the emerging UX challenges in its conversational agent platform, the opportunities in this space as well as the future of conversation agents. Read more.

16:50

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16:50–17:30 Wednesday, 10/10/2018
Session
Impact of AI on Business and Society, Implementing AI
Location: King's Suite - Sandringham Level: Intermediate
Secondary topics:  Edge computing and Hardware
Kaz Sato (Google)
Tensor Processing Unit (TPU) is a LSI designed by Google for neural network processing. TPU features a large-scale systolic array matrix unit that achieves outstanding performance-per-watt ratio. In this session we will learn how a minimalistic design philosophy and a tight focus on neural network inference use-cases enabled the high performance neural network accelerator chip. Read more.
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16:50–17:30 Wednesday, 10/10/2018
Session
AI Business Summit
Location: Blenheim Room - Palace Suite Level: Beginner
Secondary topics:  AI in the Enterprise
Simon Greenman (Best Practice AI)
AI is experiencing another gold rush. Billions are being invested by tech giants, corporates, startups and by governments. The headlines for AI are reaching fever pitch and it is dizzying to keep track of the latest AI developments and claims. Ultimately the question remain who can and who will make money in this gold rush. And who will be the economic casualties along the way. Read more.
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16:50–17:30 Wednesday, 10/10/2018
Session
Implementing AI
Location: Windsor Suite Level: Intermediate
Secondary topics:  Platforms and infrastructure, Retail and e-commerce, Text, Language, and Speech
Alan Nichol (Rasa)
Learn to build fully machine-learning based voice and chat bots with the open source Rasa stack. Read more.
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16:50–17:30 Wednesday, 10/10/2018
Session
Implementing AI
Location: King's Suite - Balmoral Level: Beginner
Secondary topics:  Computer Vision, Media, Marketing, Advertising, Text, Language, and Speech
Daniel Ecer (eLife Sciences)
eLife’s mission to accelerate discovery and encourage responsible behaviours in science has been aided by three recent AI projects. This experience report details the team’s journey in using NLP, computer vision and similarity algorithms to find more diverse peer reviewers, apply semantics to archive content, automate the submission process and find insights into the sentiment of scholarly content Read more.
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16:50–17:30 Wednesday, 10/10/2018
Session
Location: Westminster Suite
Secondary topics:  Reinforcement Learning
Gal Novik (Intel AI)
Reinforcement learning has hit the news in the past few years, enabling machines to play strategy games at above human levels, and making its way into domains such as robotics and conversational experiences. The tools for developing and testing new reinforcement learning algorithms or solutions can be boosted, which is the reason Reinforcement Learning Coach was built. Read more.
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16:50–17:30 Wednesday, 10/10/2018
Session
AI Business Summit, Interacting with AI
Location: Park Suite Level: Intermediate
Secondary topics:  Interfaces and UX
As we move to conversational UI and take advantage of NLP and AI, we change the way we interact with technology dramatically. The standard interface is many times fully eliminated, leading to novel design challenges. Tasks are removed from the user’s oversight with invisible or seamless software, and the output is not always as expected. Read more.

17:30

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17:30–18:30 Wednesday, 10/10/2018
Event
Location: Sponsor Pavilion
Come enjoy delicious snacks and beverages with fellow AI Conference attendees, speakers, and sponsors at the Attendee Reception, happening immediately after the afternoon sessions on Tuesday. Read more.

19:00

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19:00–22:00 Wednesday, 10/10/2018
Event
Location: St James's Sussex Gardens
Join us at St James’s Sussex Gardens for AI at Night. Enjoy food and drink while contest winners from the folkRNN music competition show off their application of machine learning to folk music using the online tool, recurrent neural network. Read more.

Thursday, 11/10/2018

8:15

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8:15–8:45 Thursday, 11/10/2018
Event
Location: TBD
Ready, set, network! Meet fellow attendees who are looking to connect at the AI Conference. We'll gather before Wednesday and Thursday keynotes for an informal speed networking event. Be sure to bring your business cards—and remember to have fun. Read more.

9:00

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9:00–9:05 Thursday, 11/10/2018
Keynote
Location: King's Suite
Ben Lorica (O'Reilly Media), Roger Chen (Computable Labs)
Opening remarks by Program Chairs Ben Lorica and Roger Chen Read more.

9:05

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9:05–9:15 Thursday, 11/10/2018
Keynote
Location: King's Suite
Kristian Hammond (Northwestern Computer Science)
Keynote by Kristian Hammond Read more.

9:20

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9:20–9:35 Thursday, 11/10/2018
Keynote
Location: King's Suite
Secondary topics:  Computer Vision, Ethics, Privacy, and Security, Media, Marketing, Advertising
Supasorn Suwajanakorn (Independent)
Keynote by Supasorn Suwajanakorn Read more.

9:45

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9:45–10:00 Thursday, 11/10/2018
Keynote
Location: King's Suite
Fireside chat with Marc Warner and Rannia Leontaridi Read more.

10:15

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10:15–10:30 Thursday, 11/10/2018
Keynote
Location: King's Suite
Michael Chui (McKinsey Global Institute)
Keynote by Michael Chui Read more.

10:30

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10:30–10:35 Thursday, 11/10/2018
Keynote
Location: King's Suite
Ben Lorica (O'Reilly Media), Roger Chen (Computable Labs)
Closing remarks by Program Chairs Ben Lorica and Roger Chen Read more.

11:05

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11:05–11:45 Thursday, 11/10/2018
Session
Models and Methods
Location: King's Suite - Sandringham Level: Intermediate
Secondary topics:  Media, Marketing, Advertising, Text, Language, and Speech
Friederike Schuur (Cloudera)
Multi-task learning is an approach to problem solving that allows supervised algorithms to master more than one objective (or task) *in parallel*. We present a multi-task neural net in pytorch trained to classify news from several publications that highlights distinct language use per publication enabled by the analysis of task-specific and agnostic representations part of multi-task networks. Read more.
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11:05–11:45 Thursday, 11/10/2018
Session
Sponsored, TensorFlow at AI
Location: Buckingham Room - Palace Suite
Daniel Smilkov (Google)
TensorFlow.js is the recently-released JavaScript version of TensorFlow that runs in the browser and Node.js. In this talk, we want to introduce the TensorFlow.js ML framework, and show with demo on how to perform the complete machine-learning workflow, including the training, client-side deployment, and transfer learning. Read more.
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11:05–11:45 Thursday, 11/10/2018
Session
AI Business Summit
Location: Blenheim Room - Palace Suite Level: Beginner
Secondary topics:  Ethics, Privacy, and Security
Susan Etlinger (Altimeter Group)
In this talk, industry analyst Susan Etlinger explores how AI fundamentally changes the relationship between people and businesses, lays out its risks and opportunities and demonstrates emerging best practices for designing customer-centric and ethical products and services. Read more.
11:05–11:45 Thursday, 11/10/2018
Location: Windsor Suite
TBC
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11:05–11:45 Thursday, 11/10/2018
Models and Methods
Location: King's Suite - Balmoral
Secondary topics:  Deep Learning models, Temporal data and time-series
Vitaly Kuznetsov (Google), Zelda Mariet (MIT)
We provide a comparison of sequence-to-sequence modeling to classical time series models, and as such our theory can serve as a quantitative guide for practitioners choosing between different modeling methodologies. Read more.
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11:05–11:45 Thursday, 11/10/2018
Implementing AI
Location: Westminster Suite Level: Intermediate
Secondary topics:  Platforms and infrastructure, Retail and e-commerce
Mikio Braun (Zalando SE)
In this talk, Mikio Braun will revisit what aspects of artificial intelligence are, looking back the past 20 years of machine learning research, and then making the step to more current models like autonomous cars and chat bots to put together a mental model for a reference architecture for artificial intelligence systems. Read more.
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11:05–11:45 Thursday, 11/10/2018
Session
AI Business Summit, Impact of AI on Business and Society
Location: Park Suite Level: Beginner
Secondary topics:  Computer Vision, Ethics, Privacy, and Security
Marc Warner (ASI)
How can AI impact national security? Collaborating with the UK Home Office counter-terrorism unit, ASI Data Science built a tool that removes extremist propaganda from the web. Drawing on this expertise, Marc Warner, CEO, will discuss the role of AI in the fight against terror and how shared access to this technology may be part of the answer. Read more.

11:55

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11:55–12:35 Thursday, 11/10/2018
Session
Models and Methods
Location: King's Suite - Sandringham Level: Intermediate
Secondary topics:  Deep Learning models, Retail and e-commerce, Text, Language, and Speech
Dafna Shahaf (The Hebrew University of Jerusalem)
The availability of large idea repositories (e.g., patents) could significantly accelerate innovation and discovery by providing people inspiration from solutions to analogous problems. We present an algorithm that automatically discovers analogies in unstructured data and demonstrate how these analogies significantly increased people's likelihood of generating creative ideas. Read more.
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11:55–12:35 Thursday, 11/10/2018
Session
AI Business Summit
Location: Blenheim Room - Palace Suite Level: Beginner
Secondary topics:  Ethics, Privacy, and Security, Interfaces and UX
Max Gadney (After the flood), Sabih Ali (After the flood)
In this briefing, we will explore some of the ways designers and product teams are thinking about designing systems with transparency, trust and privacy in mind. Read more.
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11:55–12:35 Thursday, 11/10/2018
Session
Location: Windsor Suite
Secondary topics:  Edge computing and Hardware, Platforms and infrastructure
Cormac Brick (Intel)
In recent years there has been lost of work done on low precision inference, this shows that by training for quantization, large gains in energy efficiency can be achieved. A look at industry challenges and progress needed to close the portability performance gap. Read more.
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11:55–12:35 Thursday, 11/10/2018
Models and Methods
Location: King's Suite - Balmoral Level: Intermediate
Secondary topics:  Deep Learning models
David Barber (Department of Computer Science, UCL)
Whilst great strides have been made in perceptual AI (for example speech recognition), there has been relatively modest progress in reasoning AI. By reasoning AI I mean systems that can interact with us in natural ways and understand the objects in our environment. I will argue that until we address how to endow machines with knowledge of our environment "general AI" will be out of reach. Read more.
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11:55–12:35 Thursday, 11/10/2018
Session
AI in the Enterprise
Location: Westminster Suite Level: Intermediate
Secondary topics:  AI in the Enterprise
In this talk, I will share lessons learned from multiple implementations of AI commercial projects at Panasonic, a global enterprise. I will discuss a number of use cases at various stages of implementation maturity, and share what AI really means today in enterprise products, where the key opportunities are, their impact, and key success factors in the adoption of AI across the enterprise. Read more.
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11:55–12:35 Thursday, 11/10/2018
Session
AI Business Summit, Implementing AI
Location: Park Suite Level: Intermediate
Secondary topics:  Deep Learning models, Platforms and infrastructure
The common perception of applying deep learning is that you take an open-source or research model, train it on raw data and deploy the result as a fully self-contained artefact. However, the reality is far more complex. This talk explores the building of a deep learning model exchange, the lessons learned, and the future of standardized cross-framework deep learning model training and deployment. Read more.

12:35

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12:35–13:45 Thursday, 11/10/2018
Event
Location: Sponsor Pavilion
Topic Table discussions are a great way to informally network with people in similar industries or interested in the same topics. Read more.

13:45

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13:45–14:25 Thursday, 11/10/2018
Session
Implementing AI
Location: King's Suite - Sandringham Level: Beginner
Thomas Endres (TNG Technology Consulting GmbH), Samuel Hopstock (TNG Technology Consulting GmbH)
How would you apply machine learning techniques on a program's source code? What problems will you encounter? How do you get enough relevant training data, how do you encode the source code as a feature vector so that it can be processed mathematically? What machine learning algorithms can you use? In our talk we will answer questions like the ones above so you can use machine learning on code. Read more.
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13:45–14:25 Thursday, 11/10/2018
Session
AI Business Summit, AI in the Enterprise
Location: Blenheim Room - Palace Suite Level: Intermediate
Secondary topics:  AI in the Enterprise
AI is a key innovation accelerator for digital business transformation. IDC's research into the AI market in Europe across hundreds of European organizations can help with your strategic roadmap. It explains why organizations should establish a digital platform based on big data, AI and cloud technologies, with an intelligent core, as part of their transformation strategy. Read more.
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13:45–14:25 Thursday, 11/10/2018
Session
Implementing AI, Models and Methods
Location: Windsor Suite Level: Intermediate
Secondary topics:  Computer Vision, Deep Learning models, Retail and e-commerce
Florian Wilhelm (inovex)
Even in the age of big data labelled data is a scarce resource in many machine learning use cases. We evaluate generative adversarial networks (GANs) at the task of extracting information from vehicle registrations under a varying amount of labelled data and compare the performance with supervised learning techniques. Using unlabelled data shows a significant improvement. Read more.
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13:45–14:25 Thursday, 11/10/2018
Session
Models and Methods
Location: King's Suite - Balmoral Level: Intermediate
Secondary topics:  Media, Marketing, Advertising, Text, Language, and Speech
Guy Feigenblat (IBM Research AI)
Automatic summarization is the computational process of shortening one or more text documents in order to identify their key points. In this session, we shall survey some of the recent advances in unsupervised automated summarization technologies. We will describe recent research publications and datasets. We will conclude with a description of a novel summarization technology developed by IBM. Read more.
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13:45–14:25 Thursday, 11/10/2018
Session
Implementing AI, Models and Methods
Location: Westminster Suite Level: Intermediate
Secondary topics:  Computer Vision, Deep Learning models, Text, Language, and Speech
Lars Hulstaert (Microsoft)
Transfer learning allows data scientists to leverage insights from large labelled data sets. The general idea of transfer learning is to use knowledge learned from tasks for which a lot of labelled data is available in settings where only little labelled data is available. In this talk, you’ll learn what transfer learning is and how it can boost your NLP or CV pipelines. Read more.
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13:45–14:25 Thursday, 11/10/2018
Session
AI Business Summit, AI in the Enterprise, Interacting with AI
Location: Park Suite Level: Intermediate
Chris Boyd (Dow Jones), John Wiley (The Wall Street Journal)
The Wall Street Journal used machine learning and a proprietary algorithm to predict the likelihood for someone subscribing, which in turn dictates the paywall experience that customer receives. Read more.

14:35

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14:35–15:15 Thursday, 11/10/2018
Session
Location: King's Suite - Sandringham
Secondary topics:  Edge computing and Hardware, Platforms and infrastructure
Vikram Saletore (Intel), Lucas Wilson (Dell EMC), Valeriu Codreanu (SURFsara), Damian Podareanu (SURFsara)
SURFSara and Intel collaborated as part of the Intel Parallel Computing Center initiative to advance the state of large-scale neural network training on Intel Xeon(R) CPU based servers. We highlight improved time to solution on extended training of this pretrained model, as well as whether various storage and interconnect options lead to more efficient scaling. Read more.
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14:35–15:15 Thursday, 11/10/2018
Session
AI Business Summit
Location: Blenheim Room - Palace Suite Level: Intermediate
Secondary topics:  Media, Marketing, Advertising, Retail and e-commerce
Bessie Lee (Withinlink), Ching Law (Tencent)
Advertising in China is at the frontlines in AI adoption and innovation. The majority of ad spend in China is already digital, and AI-based advertising thrives on the massive datasets available in China for number crunching and automation. The key driver for AI in advertising, however, is China's hyper-competitive e-commerce market, which is more than double the size of its US counterpart. Read more.
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14:35–15:15 Thursday, 11/10/2018
Session
Implementing AI
Location: Windsor Suite Level: Advanced
Secondary topics:  Deep Learning models
H2O’s Driverless AI – An AI that creates AI! Through my kaggle journey to the top spot, I have noticed that many of the things I do to perform competitively in data challenges can be automated. Read more.
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14:35–15:15 Thursday, 11/10/2018
Session
Models and Methods
Location: King's Suite - Balmoral Level: Beginner
Secondary topics:  Financial Services, Media, Marketing, Advertising, Text, Language, and Speech
Amy Heineike (Primer AI)
When building NLP based applications one quickly sees that no single NLP algorithm can handle the wide range of tasks required to turn text into value. Join Primer’s VP of Technology, Amy Heineike, as she discusses how she orchestrates natural language processing, understanding, and generation algorithms to build text-based AI applications for Fortune 500 companies. Read more.
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14:35–15:15 Thursday, 11/10/2018
Models and Methods
Location: Westminster Suite
Secondary topics:  Data Networks and Data Markets
Roger Chen (Computable Labs)
Blockchain technologies offer new internet primitives for creating open and online data marketplaces. Roger Chen explores how data markets can be constructed and how they offer a shared resource on the internet for AI-based research, discovery, and development. Read more.
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14:35–15:15 Thursday, 11/10/2018
Session
AI Business Summit, AI in the Enterprise, Impact of AI on Business and Society
Location: Park Suite Level: Intermediate
Secondary topics:  Temporal data and time-series
Ira Cohen (Anodot)
With the more applications of machine learning based applications, the complex algorithms that automate behaviors can get out of control. Problems and glitches can be caught early on by having machine learning algorithms monitor these algorithms for anomalous behavior. Read more.

16:00

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16:00–16:40 Thursday, 11/10/2018
Session
Models and Methods
Location: King's Suite - Sandringham Level: Intermediate
Secondary topics:  Computer Vision, Edge computing and Hardware, Platforms and infrastructure
Paul Brasnett (Imagination Technologies )
In recent years, we’ve seen a shift from traditional vision algorithms to deep neural network algorithms. While many companies expect to move to deep learning for some or all of their algorithms, they may have a significant investment in classical vision. I’ll describe how a classical vision algorithm can be expressed and adapted to become a trainable DNN. Read more.
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16:00–16:40 Thursday, 11/10/2018
Session
AI Business Summit, Impact of AI on Business and Society
Location: Blenheim Room - Palace Suite Level: Advanced
Secondary topics:  Ethics, Privacy, and Security, Interfaces and UX
Marie Johnson (Centre for Digital Business Pty Ltd)
What does a workforce augmented by digital humans look like? This presentation is the first-hand story of the creation of “Nadia”– the world’s first digital human for service delivery - by the person who developed the concept and led the delivery. The session presents a framework for leaders to apply to meet exponential changes across industries augmented by digital humans, including healthcare. Read more.
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16:00–16:40 Thursday, 11/10/2018
Session
Implementing AI, Models and Methods
Location: Windsor Suite Level: Beginner
Secondary topics:  Computer Vision, Deep Learning models, Deep Learning tools
Vanja Paunic (Microsoft), Patrick Buehler (Microsoft)
Dramatic progress has been made in computer vision where deep neural networks (DNNs) trained on millions of images can recognize thousands of different objects. These DNNs can also be customized to new use cases. This talk presents simple methods and tools developed that enable users to easily and quickly adapt Microsoft's start-of-the-art DNNs for use in their own computer vision solutions. Read more.
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16:00–16:40 Thursday, 11/10/2018
Session
Implementing AI, Models and Methods
Location: King's Suite - Balmoral Level: Intermediate
Secondary topics:  Reinforcement Learning, Retail and e-commerce, Text, Language, and Speech
Dr. Sid J Reddy (Conversica)
We will explain how to avoid the hype, decide which use cases are the best for Deep reinforcement learning. We will discuss the Markov decision process with conversational AI as an example and explain how to set up the environment, states, agent actions, transition probabilities, reward functions, and end states. Attendees will also understand when to use end-end reinforcement learning. Read more.
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16:00–16:40 Thursday, 11/10/2018
Session
Implementing AI
Location: Westminster Suite Level: Beginner
Secondary topics:  Edge computing and Hardware
Jameson Toole (Fritz)
Machine learning and AI models now outperform humans on tasks ranging from image recognition to language translation. However, sending sensor data up to the cloud and back is too slow for many apps and autonomous machines. Developers seeking to provide seamless user experiences must now move their models down to devices on the edge, where they can run faster, cheaper, and with greater privacy. Read more.
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16:00–16:40 Thursday, 11/10/2018
Session
AI Business Summit, AI in the Enterprise, Impact of AI on Business and Society
Location: Park Suite Level: Intermediate
Secondary topics:  Ethics, Privacy, and Security
Aileen Nielsen (Skillman Consulting)
We are in the year of the AI fake out. 'Fake news' is the order of the day as nebulous 'chat bots' become significant political actors. Soon we won't know whether customer service is a person around the world or a chat bot in the cloud. Startups peddle robotically 'handwritten' notes and algorithmically personalized gifts for our loved ones. How should we redefine 'intelligence' as fakes flourish? Read more.

16:50

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16:50–17:30 Thursday, 11/10/2018
Session
Implementing AI
Location: King's Suite - Sandringham Level: Beginner
Secondary topics:  Computer Vision
natalie fridman (ImageSat International (ISI))
Detection of a moving vessels with satellite sensors, is a challenging problem. Satellite imagery is an expensive product, which covers a very small area, and can be acquired only at predefined acquisition opportunities. I will present this challenging problem and explain our AI based solution. I will also present our successful examples of detecting maritime vessels with our satellites. Read more.
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16:50–17:30 Thursday, 11/10/2018
Session
AI Business Summit
Location: Blenheim Room - Palace Suite Level: Intermediate
Secondary topics:  AI in the Enterprise
Benjamin Wright-Jones (Microsoft), Simon Lidberg (Microsoft)
Interest in the value of an AI Center of Excellence (COE) has grown as many organisations turn to data-driven strategies. In this session, we will introduce you to the building blocks of a Center of Excellence and describe the value for organisations embarking on data driven strategies. Read more.
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16:50–17:30 Thursday, 11/10/2018
Session
AI in the Enterprise, Implementing AI
Location: Windsor Suite Level: Intermediate
Secondary topics:  Platforms and infrastructure
Christopher Cho (Google)
This talk will explore how Kubernetes can be easily leveraged to build a complete Deep Learning pipelines starting all the way from data ingestion/aggregation, pre-processing, ML training, and serving with the mighty Kubernetes APIs. This talk will go over Kubeflow, a google open source solution, for managing Machine Learning with Tensorflow in a portable, scalable manner. Read more.
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16:50–17:30 Thursday, 11/10/2018
Session
Models and Methods
Location: King's Suite - Balmoral Level: Beginner
Secondary topics:  Deep Learning models, Interfaces and UX, Text, Language, and Speech
Peter Cahill (Voysis)
How Wavenet will be the next generation of recognition, synthesis, and voice-activity detection Read more.
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16:50–17:30 Thursday, 11/10/2018
Session
Implementing AI
Location: Westminster Suite Level: Intermediate
Secondary topics:  Edge computing and Hardware, Platforms and infrastructure
Zhipeng Huang (Huawei)
This talk discusses how Resource Representation (RR) could work with various Intermediate Representation (IR) technology to help achieve the democratization of AI Read more.
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16:50–17:30 Thursday, 11/10/2018
Session
AI Business Summit, AI in the Enterprise, Impact of AI on Business and Society
Location: Park Suite Level: Beginner
Secondary topics:  Ethics, Privacy, and Security
Josh Fu (Cylance)
Artificial intelligence(AI) systems are created and used by the good guys to protect us and to make our lives better across many industries. But it has the potential to be abused by criminals too. This will cover what AI is and is not, the different types of AI, how it works, how it is built, how it can be defrauded, how it can be used for evil, and what the good guys can still do about it. Read more.